An economic model for tourism destinations: product sophistication and price coordination

Size: px
Start display at page:

Download "An economic model for tourism destinations: product sophistication and price coordination"

Transcription

1 An economic model for tourism destinations: product sopistication and price coordination Rainer Andergassen, Guido Candela and Paolo Figini Department of Economics, University of Bologna, Piazza Scaravilli 2, Bologna, Italy Abstract Te paper models te optimal development strategy of a tourism destination by identifying and analyzing two key economic features: i) te long-term coice of weter to invest in te enancement of natural and/or cultural resources (wic act as common goods in te destination) or to increase te degree of sopistication of te tourism product (ere intended as te variety of complementary services to accommodation tat are demanded by tourists); ii) te sort-term coice of weter or not to implement price coordination among local rms, a problem stemming from te anticommon nature of te tourism product. We build a two-stage model for te tourism destination, tus identifying te optimal degree of sopistication of te tourism product and te optimal institutional arrangement in terms of coordination. Tis approac elps sedding ligt on te rationale underlying te development pat taken by dierent destinations, tus overcoming some of te limits of te existing literature and providing a simple taxonomy for te observed diversity of real-world destinations. Accordingly, we provide a classication of destinations based on te type of coordination and on weter te primary resource is natural, cultural or organizational. Keywords: Tourism destination; product variety; natural resources; price coordination; development strategy JEL: L83; O1; D11 An economic model for tourism destinations: product sopistication and price coordination Corresponding autor. paolo.gini@unibo.it. Te autors tank Mattias Fucs, Laurent Botti, Sauveur Giannoni, participants to te 3rd QATEM worksop, eld in Corte (France) on 13 July 2012 and to te 1st International Conference on Tourism Management and Tourism Related Issues, eld in Rimini (Italy) on September 2011 for useful comments on previous versions of te paper. Te usual disclaimers apply. 1

2 1 Introduction Researc in tourism studies as establised te tourism destination (TD) as one of its key concepts, and nowadays many investigations pivot around te organization, te management, te development, and te sustainability of tourism destinations. From te researcer's perspective, te TD embodies all te specic and problematic features of tourism, suc as its systemic nature, in wic space plays a fundamental role (Leiper, 1990). In fact, tourism supply meets demand in te destination; environmental and cultural resources, attractions, te ospitality industry are all located in te destination; tourism demand is revealed in te destination. In oter words, te TD is te conceptual link between te complexity of te sector, te complementarities and substitutabilities of te many goods and services composing te tourism product, and te supply of territory. Several dierent denitions exist for te TD, ranging from management studies, were it is mainly interpreted as a product, to tourism geograpy were te destination is intended as te oer of territory. In te present paper we consider te destination from te economics perspective, as a kind of (meta) economic agent: a territorial system supplying at least one tourism product able to satisfy te complex needs of tourism demand (Candela & Figini, 2012). Te term "tourism product" denes wat te common language calls oliday, or wat tourism sociology calls te tourist's experience. But, were is te economics of destinations in te tourism literature? Altoug its specic features are indeed discussed by oters disciplines, suc as geograpy, management, marketing and organizational studies, te study of te TD from te economics perspective is in its infancy, and neiter te micro nor te macroeconomic existing literature elps us fully grasp it. Most of te literature, in fact, considers te destination as a mere framework, noting more tan te abstract concept of market, in wic to analyze te micro-beavior of specic industries (e.g., te structure of te otel industry in a specic destination) or tourists (e.g., te determinants of tourism demand in a given destination). Similarly, te macroeconomic literature often identies te destination wit te wole country, in a framework were te economy, in order to attain te maximization of te growt rate, can specialize in tourism and were no attention is paid to wat appens witin te destination itself. Te many teoretical and empirical works testing te validity of te Tourism-Led-Growt ypotesis or testing weter tourism can be considered as an independent factor of economic growt (Lanza & Pigliaru, 1995, 2000; Brau et al., 2007; Sequeira & Macas Nunes, 2008; Figini & Vici, 2010) can be recalled ere. Bot micro and macroeconomic literatures, owever, only scratc te surface of wat is te specic and peculiar economic problem of te TD. 2

3 Te mostly regarded economic model specically built for te destination is probably te Tourism Area Life-Cycle (TALC) model (Butler, 1980), a well-known application of te product life-cycle teory. Togeter wit Plog (1974) psycograpic representation of te interrelation between types of tourists and evolution of te destination, te TALC model is still today te main pillar on wic te economic analysis of te TD is based (Butler, 2006). Regardless of its popularity, owever, te TALC model as important limitations: rstly, it is a purely descriptive model, wit very little explanatory power; secondly, it is a deterministic model, and te TD is bound to pass troug te subsequent pases of evolution, te model being unable to fully take into account dierent trajectories. Researc in tourism economics as only recently been investigating te TD wit a closer look, and two interesting strands of literature can be identied. Te rst one provides a more teoretically sound basis to te TALC model. In particular, Giannoni & Maupertuis (2008) analyze te dynamics between te pattern of investment in tourism infrastructures, policy coices and environmental quality, tereby generating cyclical pats in te number of osted tourists (from te perspective of consumption waves teory, see also Swann, 2010); similarly, Lozano et al. (2008) build a teoretical model wose dynamics are consistent wit TALC; nally, Cerina (2007) investigates te relationsip between growt dynamics and environmental sustainability in a model were tourism resources are interpreted as common goods, tus providing a teoretical basis for te concept of sustainable tourism. Neverteless, all tese models sare te same caveat: tey are mainly macroeconomic growt models were te TD completely overlaps wit te economic system (tat is, te country is completely specialized in tourism) and were tere are no insigts on wat appens witin te TD: in oter words te models do not ave a micro-foundation. A second strand of literature tries to take into account specic organizational features and economic caracteristics of te destination. In tis line of researc, te rst attempts to build a compreensive economic model for te TD are Huybers & Bennett (2003), Papateodorou (2003), Wacsman (2006), Candela et al. (2008), Candela & Figini (2010) and Andergassen & Candela (2012a, 2012b). Witin tis framework, te present paper argues tat te TD as specic and peculiar features wic call for a novel and independent economic analysis. In particular, te economic model for te TD erein developed focuses on two specic aspects of tourism economics tat, in our opinion, are not properly addressed by te existing literature: te issue of coordination between local rms and te degree of sopistication of te tourism product. In doing so, we extend and integrate te works of Andergassen & Candela (2012b), wo tackle te issue of 3

4 sopistication (i.e., te supply of a variety of dierent local goods and services tat are also demanded and purcased by tourists during teir stay) and Candela et al. (2008), and Candela & Figini (2010), wo address te issue of price coordination. Our approac borrows from Papateodorou (2003), wo rstly formally analyzed te issue of complementarity and variety of services witin te tourism product, and from Wacsman (2006), wo rstly formally analyzed te problem of price coordination witin te destination (see also Alvarez-Albelo and Hernandez-Martin, 2009). Te novelty of our paper is twofold. Firstly, we generalize te problem of coordination, tackling te main limitations in te results of Wacsman (2006) and Candela et al. (2008). Secondly, we jointly consider sopistication and coordination, tus building a unique economic model to describe te development and te organizational pattern for te TD. Our approac opens a new window from were to look at te economics of te destination, tus igligting important policy implications for te destination management and for local stakeolders. Te economic model for te TD developed in tis paper stems from two inter-twinned perspectives, empirical and teoretical. From te empirical perspective, our model aims at being consistent wit te anecdotal evidence of te great diversity of tourism destinations over te world, wic dier in teir istory, endowment of resources, organizational structure, institutional arrangement and specialization. In tis respect, our model is able to depict dierent trajectories for te TD, ence being able to overcome te deterministic logistic sape of evolution described in te TALC model. Rater, our setup allows for multiple equilibria. In te same respect, we are also able to explain te reasons wy some destinations can be locked-in in a certain pase of development wile oters jump one or more pases all togeter. Tis last problem is key for potential destinations (particularly in developing countries), in wic tourism is not (yet) developed, but is seen as an opportunity, being often considered a strategic pat for economic development by bot policy makers and local stakeolders. As it will be igligted in te concluding section, our speculative teoretical framework suggests future directions in empirical researc, for example testing weter te pattern of coordination and te degree of sopistication in te tourism product are key signicant factors in explaining te destination's pat of development. From te teoretical perspective, te destination is a novel and interesting object of study for economics. Wile some of te specic problems of te TD (te need of supplying public goods and of tackling externalities) are standard market failures wic usually call for te intervention of te public sector (altoug Huybers & Bennet, 2003, sow tat te public intervention is not necessary if voluntary cooperation among local stakeolders for te management of common resources arises) 4

5 tere are two specic and peculiar caracteristics of te destination tat are under-investigated and tat are also marginal issues in te standard economic teory. 1. Te tourism product supplied and sold by (or witin) te destination can be dened as a bundle composed of a set of elementary items. Suc goods and services (accommodation, transport, sopping, attractions, events) are demanded in a relationsip of complementarity and substitutability by te tourists during te oliday experience. Wile te concept of bundle is a standard tool in economics (it is commonly used to build price indices to be applied bot in teory and in national accounting), wat is new in tourism economics is its role as an object of study. Te denition of te product as a bundle of complementary and substitutable goods opens te issue of coordination and cooperation among local rms supplying single components of te oliday. In tis paper we mainly focus on te complementarity feature, wic is particularly relevant for te oliday and allows us to dene te tourism product as an anticommon (Micelman, 1982; Heller, 1998; 1999). Accordingly, te oliday can take place if and only if te 'permission to stay' is granted by all rms supplying complementary services to tourists: if just one rm does not grant permission, te tourism activity in te destination can not take place. Stemming from te anticommon nature of te tourism product, te relevant questions to be addressed by an economic model for te destination are: ow can te anticommon problem be tackled? Is tere any role tat can be played by te destination management? Wat is te optimal pricing policy for te tourism product as a wole? In Section 4 we will present and discuss te answers of our model to tese questions. 2. Te wole territory (intended as bot te endowment of resources and its organizational structure) enters te production function of te oliday as an input; in tis respect te destination can be analyzed as a (meta) economic agent taking important decisions from te supply-side at a level wic is intermediate to te micro-level (rms and tourists) and to te macro-level (te wole economic system, usually te country). Te TD as sometimes been interpreted as a type of cluster (Porter, 1998) since it sares some of te caracteristics of te industrial district altoug it can not be dened as suc (Micael, 2003; Candela & Figini, 2012). More specically, in te industrial district rms eiter produce substitute goods (orizontal cluster) or intermediate goods wic are ten assembled (vertical cluster). In te TD, on te contrary, rms mainly produce complementary services tat are directly sold to nal consumers. Brandeburger and Nalebu (1997) name tis a diagonal cluster, a concept tat nds in te TD a 5

6 perfect application and tat advocates for wat tey call co-opetion, tat is, te co-existence of competition and cooperation between rms. At te same time, local resources represent te main motivation of te trip, and terefore tey also enter te utility function of tourists. Suc combination of an item tat is at te same time an input of production and an argument of utility provides anoter novel economic problem to look at. Moreover, most of tese resources are freely available (te landscape and te oer of territory in general) and tey can be considered as common goods (Hardin, 1968), wile oter resources can be developed by te destination (e.g., an event or an amusement park). In tis respect, te relevant questions to be addressed by an economic model for a destination are: wat is te process leading to te rise, te development, te specialization and te sustainability (bot environmentally and economically) of te TD? Wat are te key-factors driving to te development of a tourism product based on natural and/or cultural resources rater tan on an institutional arrangement promoting a sopisticated tourism product? In Section 5 we will present and discuss te answers of our model to tese questions. Te remainder of te paper is structured as follows: Section 2 introduces and discusses te caracteristics of te tourism destination, tus providing te intuition beind te model. Section 3 describes te model's structure and rationale, its assumptions and main limitations. Section 4 focuses on te coordination issue and te optimal institutional set-up for te destination wile te main results in terms of resource specialization, variety, and sopistication of te tourism product are described in Section 5. Section 6 discusses te main results and te caveats of te model, tus paving te way for future researc, bot teoretical and empirical. 2 Te Caracteristics of te Tourism Destination From te economics perspective, te TD does not necessarily coincide neiter wit te destination management organization (DMO), wic is one of te possible institutional set-ups tat can prevail, nor wit te local policy maker. Instead, te destination can be seen as a ypotetical (meta) agent, a territorial system wit a specic objective function to maximize and subject to given constraints. In tis respect, te economics of destinations studies te relationsip between demand (by dierent types of tourism osted in te destination) and supply (by te mix of rms located in te territory) for te wole tourism product. In general, a destination may oer dierent types of oliday to dierent types 6

7 of tourism, eac possibly caracterized by a dierent mix of specic goods and services, including te consumption of local resources, and accommodation. Terefore, te tourism product is made up of all te tourism destination specic and non-specic goods and services tat are demanded during one day of oliday, its quantity is measured troug te number of overnigt stays and its value is te daily price of te oliday. In te case of multi-tourism destinations, te wole tourism product can ence be interpreted as te weigted average of te many types of oliday oered in te destination. Note tat in te present context, were te demand function is known wit certainty, coosing te daily price (wic coincides wit te weigted average price of te oliday) is equivalent to coosing tourism expenditure (i.e., te oliday's aggregate price). It is well known tat many conceptions of value exist, being particularly relevant in tourism were many non-market or semi-market goods (suc as environmental and cultural resources) are demanded and used. As it is typical in te economic approac, we only focus on te market value of te oliday, as determined by its price, and we abstract from any implication regarding te social and cultural value of tourism in te destination. Neverteless, we capture indirectly cultural and environmental values of te destination's resources troug price and demand eects, as in our model consumer demand canges wit te perception of environmental quality. Contrary to wat can be done in applied researc, in a teoretical model we ave to rely on strong assumptions, less descriptive of te real-world complexity of destinations but able to unfold te core of te economic problem faced by te TD. We start by identifying two necessary conditions for te birt of a tourism destination, and one necessary condition for its long-term sustainability (Andergassen & Candela, 2012b). Firstly, a generic point of interest, natural or articial, must exist in order for te destination to come into being. In order to keep te model as simple as possible, wile maintaining its explanatory power, local tourism resources are measured troug a quantitative index R, wic summarizes te overall endowment of te destination (its natural, cultural and organizational resources, te accessibility of its transport system, its infrastructures, etc.). R depends on bot exogenous (te endowment provided by nature, istory and culture) and endogenous factors (te investment undertaken by te local community - public and private sectors - to adapt te endowment in order to be successfully included in te tourism product, to preserve it, and to enance it: for example by building amusement parks or conference venues, by organizing events, etc.). In sort, any destination can be identied by its endowment of resources, te only constraint being tat R > 0. Given a certain quantity R, its 7

8 quality as perceived by tourists, tat we call z, depends (non-positively) on te number of overnigt stays, ence rougly accounting for and measuring crowding and congestions eects. Te sign of te relationsip between te parameter z and overnigt stays is a matter of discussion, and we sould also consider te dierent case of a positive or, more in general, a non-linear relationsip. In tis paper we assume tat a tresold in te number of overnigt stays exists, after wic congestions eects are at play. Secondly, at least one variety of local goods as to be supplied togeter wit ospitality and te local resource, oterwise te visit to te destination is not motivated. We measure te variety of te tourism product troug n, te number of dierentiated tourism goods and services tat compose te tourism bundle; eac good/service is represented by te index i = 1,..., n. Te straigtforward interpretation is tat te iger te number n 1, te greater te level of sopistication (te variety) of te tourism product; at te limit, n = 1 wen only te basic service needed to access te main resource is provided in te destination. For te sake of simplicity, we assume tat tere are only two rms in te destination, one ospitality rm, supplying te accommodation service and te oter one producing all te dierentiated goods/services. Te assumption of aving only one rm supplying all te dierentiated tourism goods/services greatly simplies te exposition witout altering te qualitative features of te results (in footnote 2 we discuss ow results cange if tis assumption is relaxed). We consider identical tourists endowed wit a CES (Constant Elasticity of Substitution) utility function, following a long strand of literature on product dierentiation wic dates back to te seminal paper of Dixit & Stiglitz (1977) and tat as already been applied to tourism by Papateodorou (2003). Hence, from te demand side, we consider te coice problem of a consumer wo as to decide ow to allocate a given income among a set of generic consumption goods (y) and a tourism product (T ), a bundle in wic te local resource R is measured troug its overall quality (z), ospitality () and a variety of goods and services (x i ). Moreover, te supply of dierent varieties i of te local good x i and te complementary ospitality service need to coordinate in teir quantity, quality and price, oterwise a suitable product able to meet te tourism demand can not be supplied. For te sake of simplicity we only consider coordination in price (assuming tat bot coordination in quantity and in quality are already in place, see Wacsman, 2006; Candela & Figini, 2010) between te only ospitality rm in te destination and te rm supplying dierentiated tourism related goods and services. 8

9 Te above mentioned conditions are owever not sucient to guarantee te survival of te destination in te long-term. In fact, long-term economic sustainability can be acieved only if overall tourism prots of te destination, Ω, net of te costs K borne by te destination for te investment undertaken to promote and foster te local tourism sector, are at least as large as Ω, wic is an exogenously dened tresold tat guarantees te long-term survival of te destination. Tis is te static equivalent of te dynamic principle tat, in terms of endogenous growt teory, te growt rate attained troug specialization in te tourism activity must be at least as large as te one obtainable if te destination specializes in alternative activities (Lanza & Pigliaru, 1995; 2000). Concerning te market structure of te destination, we assume tat bot rms are monopolists. Tis can stem from te fact tat te destination operates in a monopolistic competition regime because of te peculiarity of its local endowment R tus translating into te market power of its ospitality rm (sector) and of te rm producing dierentiated tourism goods x i, since tese goods are linked to te local resource and teir caracteristics dier across varieties (Candela et al., 2009). We acknowledge tat in reality tere are many rms tat are aware of teir market power and terefore strategically interact wit eac oter. Consequently, oligopolistic competition would be a more appropriate setting for te analysis, but we leave tis issue for possible future researc. Tis modeling set up will allow us to identify te conditions under wic a region can successfully develop into a tourism destination, eiter by following a policy of enancement of its resources R, by directly or indirectly inuencing te degree of sopistication n, or by selecting a strategic coordination of prices (p i, i = 1,..., n and p ) between te producer of local goods and te ospitality sector. Tus, te implications for tourism policy can be investigated, providing answers to te many (peraps too many) opes of policy makers and local stakeolders wo see tourism as te key strategic sector for te economic take-o of teir region. On tis aspect, two positions can be recalled. For someone (Raestin, 1986), tourism is like te Peano's curve, tat in te teory of fractals is a space-lling curve; ence every territory can become a tourism destination. For oters, regardless of te investment in resource enancement, in articial endowment or in te variety of local goods, tourism development is only triggered by te existence of an exogenous endowment and by te structure of preferences of te consumers: witout suc prerequisites and conditions on te demand, te territory would never be able to reac te tresold Ω necessary to become a sustainable tourism destination. 9

10 3 Te model To more precisely investigate te complex process leading to te rise and development of te TD intuitevely described in te previous section, we now develop a formal model. We identify a multistage problem, wose decision tree is sown in Figure 1. Firstly, te local community as to decide weter to develop a tourism destination or invest in oter economic activities, te former strategy being cosen if te net economic return to te investment is at least as large as its opportunity cost, Ω K Ω, were Ω is te destination's outside option. If tis inequality olds, te optimal amount of local resources (ere intended as common goods), ospitality and variety of te local goods is determined. [Insert Figure 1 about ere] In te following stage of te problem, te issue of weter te tourism activity in te local territory sould be coordinated or not is tackled. In tis pase, te equilibrium prices for goods and services included in te tourism product (ere intended as an anticommon) are computed. Te decision on weter or not to coordinate depends on te sign of Ω C Ω NC, were Ω C and Ω NC are overall tourism prots of te destination wit and witout price coordination. In te case of coordination, tere are two possibile solutions: coordination provided by te destination management, in wic total prots are Ω DM, and coordination provided by a tour operator, in wic total prots are Ω T O (see Figure 1). Moreover, from te destination's perspective it is also important to distinguis between local and foreign tour operators, since in te latter case te tour operator's prots are exported and ten leave te local economy. Altoug we argue tat te solution wit te local tour operator dominates te one wit a foreign tour operator in terms of total local prots, tis strategy is not always feasible, particularly for developing countries (in many destinations, te necessary professional skills and competencies migt lack, or te local tour operator migt ave iger production costs stemming from information asymmetry or weaker economies of scale and of scope): ence it is represented as a dotted line in te decision tree of Figure 1. An important assumption of te model is tat production costs of te two local rms are nil (taking positive average production costs into account would not alter te qualitative features but only complicate te exposition of our results) and consequently tourism prots coincide wit revenues, and ence wit total expenditure of tourists in te destination. Tis as an interesting implication, 10

11 since it allows us to reconcile te target of prot maximization, wic is standard for economic teory, wit te one of maximization of tourism expenditure, te usual target for local tourism policy. Hence, te model can correctly describe te real-world practice of looking at overall tourism expenditure as te main indicator of tourism performance for te destination. We rst describe te demand side of te model. Since overall tourism prots (Ω) are equal to tourism expenditure, wic is directly linked to te number of overnigt stays, tey in turn depend on te caracteristics of te local tourism product. We follow Papateodorou (2003) and Andergassen & Candela (2012b) by assuming tat tourists' demand depends on: i) te availability of natural and/or cultural resources (see also Melian-Gonzalez & Garcia-Falcon, 2003); ii) te availability of a variety of local goods and services, suc as restaurants, recreational activities, wellness and sport facilities, etc., tat justify tourism in te destination, beyond te enjoyment of te main resource. In tis respect, we assume tat tourists sow love for variety in te tourism product, as dened by Dixit & Stiglitz (1977). We consider a unit mass of identical tourists endowed wit a CES utility function aving te following arguments: i) te lengt of stay of te oliday at te destination; ii) a variety of n 1 dierentiated tourism related goods and services x i oered at te destination, wit i = 1, 2,..., n; iii) an index measuring te perceived quality z of te destination's resource endowment R; iv) te consumption of a non tourism product y (wic can also be tougt as te oliday in an alternative destination). Te tourism product is dened by a bundle T including overnigt stays and te wole variety of local goods, T = (, {x i }). If we name wit U T,j te sub-utility of te consumer j as a tourist and wit U Y,j te sub-utility stemming from non-tourism consumption, total utility for te agent is U j = U (y (j), z (j), (j), x i (j)) and can be written troug a compound CES utility function (3) (compound CES utility functions ave been employed in te context of industrial organization and of tourism economics by Jiandong (2003) and Andergassen & Candela (2012a, 2012b), respectively): U T,j = z γ (j) + ( n ) γ α x α i (j) i=1 1 γ (1) U Y,j = y (j) (2) 11

12 ( ) U j = U β Y,j + U β 1 β T,j ( n = yβ (j) + z β γ (j) + x α i (j) i=1 ) γ α β γ 1 β (3) In suc model, 0 < β < 1 implies tat te non-tourism good y and te tourism product T are gross substitutes (if β = 1, te two goods are perfect substitutes); γ < 1 implies tat overnigt stays and te consumption of local goods x i are gross complements (if γ te two goods are perfect complements). We also assume tat β α < 1, tat is, te degree of substitutability between te tourism product T and te non-tourism product Y is not greater tan te degree of substitutability among local tourism goods and services x i. Finally, z indicates te perceived quality of te tourism resource, suc as beaces, mountains and/or te cultural eritage of te destination. Te resource quality z as te O-ring property, tat is, it enters te utility function (1) as a multiplicative factor since tourism exists if and only if z > 0. Te price of te non-tourism good is taken as a numeraire, p y 1, p is te price of te overnigt accommodation in te otel, p i is te price of te i-t variety of te local good. Te budget constraint of tourist j is ence: n y (j) + p (j) + p i x i (j) = I (4) were I is te tourist's overall income, wic is exogenous to our analysis since tourists, by denition, i=1 are non-residents. Te tourism resource R, generally understood as te wole endowment of te territory, is considered as a public good of te destination and terefore does not appear in te budget constraint (4) (see Papateodorou, 2003; tis assumption, owever, does not old if te main resource of te destination is very specic and terefore semi-private, suc as an amusement park or a specic museum.). We assume tat te perceived quality of te resource, z, depends positively on its quantity R, z R > 0, but wit non-increasing returns, z RR 0, and non-positively on H, te total number of overnigt stays in te destination, since te level of satisfaction te tourist gets from visiting te resource is inversely linked to te crowding of te site, z H 0 wit wit z HH 0 and z HR 0. In particular, we assume tat z is a continuous function of H and tat a tresold H for aggregate overnigt stays exists were z H = 0 for H H and z H > 0 for H > H. Wit tis assumption we aim to model te case were aggregate overnigt stays reduce tourism quality if tey exceed te tresold H (we tank an anonymous referee for suggesting tis functional form). Let te elasticity of z wit respect to H be ε z H = z H H z 0, were εz H = 0 for H H and εz H > 0 for H > H. 12

13 We rst derive te individual demand function for accommodation and for te dierentiated goods and services, and ten calculate aggregate demand functions. Given te symmetry on te supply side of tourism products x i (by assumption average production costs of goods and services are all nil), we ave tat p i = p for all i = 1,..., n. Since te mass of tourists is normalized to one, aggregate demand functions H, X i and Y are simply te sum of te tourist's individual demand functions (j), x i (j) and y (j), for individuals j [0, 1]. More formally, H = 1 0 (j) dj, X i = 1 0 x i (j) dj and Y = 1 0 y (j) dj, were H represents total overnigt stays in te destination, X i total consumption of te complementary local good i and Y total consumption of oter goods. We consider parameter values suc tat at te equilibrium te price of overnigt stays is larger tan te price of dierentiated tourism goods and services, i.e. p > p. Note tat te single tourist is small compared wit te overall mass of tourists in te destination and terefore, for is consumption decisions, e takes te perceived tourism quality as given. At te aggregate level, te individuals' coices feed back into tourism quality wic in turn aects te individual, and consequently also aggregate, consumption beavior. In oter words, a xed point problem as to be solved. Te following properties of aggregate demand functions can be establised. Lemma 1 Te aggregate demand function for overnigt stays in te destination is H (n, R, p, p ), were H is increasing in n, and R and decreasing in p and p; te aggregate demand function for te single tourism good is X (n, R, p, p ), were X is decreasing in n, increasing in R and decreasing in p and p. Proof. Te proof can be found in te Appendix. Because of te complementarity between overnigt stays and tourism related goods and services, an increase in n leads to an increase in te demand of overnigt stays. On te oter and, an increase in n reduces te demand of eac single tourism good X. An increase in R, by fuelling tourism quality, increases te demand of overnigt stays H and te demand of tourism goods X. Canges in prices ave te standard eect on demand: te law of demand olds; assuming tat te elasticity of z wit respect to H is in absolute values not too large, 1 te complementarity between {x i } and implies tat an increase in p (p ) decreases demand of H (X ). 1 An increase in p unambiguously reduces H. An increase in p as, because of te complementarity between {x i } and, a direct negative impact on X, but a indirect positive one, since it reduces H and terefore increases tourism quality z. If ε z H is not too large, ten te former eect dominates te latter one. A formal proof of tis result can be obtained upon request from te autors. 13

14 Given tat production costs are nil, prots of te ospitality sector are Π (n, R, p, p ) = p H (n, R, p, p ) and tose of te rm producing te dierentiated goods and services are nπ (n, R, p, p ), were Π (n, R, p, p ) = px (n, R, p, p ). Overall tourism prots for te destination are Ω (n, R, p, p ) = nπ (n, R, p, p ) + Π (n, R, p, p ). 4 Te Coordination between Firms in te Destination and te Optimal Pricing Strategy Like all multi-stage problems, te model as to be solved backwards, and te equilibrium prices of te dierent coordination alternatives (second stage of te problem) ave to be determined in order to get te optimal endowment of local resources and sopistication of te tourism product (te solution of te rst stage problem). In tis section we solve te second stage of te problem by moving to te supply-side and assuming tat rms and destinations are price-makers. Tis last ypotesis is coerent wit real-world tourism markets, wic are often non-competitive markets eiter because rms ave monopoly or oligopoly positions or, as it is te case for destinations, because of te ig degree of dierentiation of te tourism product at te global level (Candela et al., 2009). Hence, for a given coice of n and R, we investigate te caracteristics of optimal pricing strategies for te TD. Te daily price of te oliday in te destination, v, is: v = p + np X H (5) consisting of te price for accommodation services and te price of dierentiated tourism goods/services times te quantity demanded per day ( nx H ). Te equilibrium quantity for te tourism product is identied by te number of days spent at te destination (te number of overnigt stays, H ). As already recalled, in tis set-up tourism in te destination can be interpreted as a 'permission to stay' granted by te rms supplying complementary services demanded by tourists wile on oliday: if one of te two rms does not grant permission, te tourism activity can not take place. For instance, tourism demand would be nil if restaurants were not available in te destination, or if no accommodation was present. Te catcy idea regarding te existence of a unique economic good, wose property is fragmented across dierent rms, is known as anticommon and is not new in Economics (see 14

15 Micelman, 1982; Heller, 1998; 1999; Parisi et al., 2000; 2004) altoug te concept as not been suciently exploited so far, particularly in te eld of tourism economics were it neverteless nds a perfect application (Candela et al., 2008). Note tat te anticommon is exactly te opposite of te muc better known common, a good wic is available to everyone and witout well dened property rigts (Hardin, 1968). In a general perspective, rms in te destination ave to coordinate in quality (in order to avoid, for example, tat tourists osted in a luxury otel only nd take-away restaurants) and in quantity (to guarantee tat tere is no rationing in any of te demanded services). However, in tis paper we neglect tese issues and we only focus on price coordination. We introduce tree dierent cases: (a) no coordination, were eac rm maximizes its prots; (b) price coordination by means of a destination management and (c) coordination provided by a tour operator supplying an all-inclusive oliday. 4.1 No Coordination Witout coordination, rms solve independent maximization problems. In particular te maximization problem for te ospitality rm is max p Π. First order condition for tis problem is Π p = H + p H p = 0 (6) Te rm producing dierentiated goods and services faces te maximization problem max p nπ. First order condition for tis problem is nπ p = nx + pn X p = 0 (7) By considering te rst order conditions (6) and (7), and assuming tat second order conditions are satised, we obtain a system wose solution (dening a Nas equilibrium tat exists if te two functions intersect in te rst quadrant, see also Wacsman, 2006) implicitly denes te optimal values of p and p: g (n, R, p, p ) = 0 g (n, R, p, p ) = 0 (8) For eac R and n, optimal prices for te destination can be expressed as p NC φ NC (n, R), rm prots are Π NC = φ NC (n, R) and p = (n, R) and nπ NC (n, R), and total tourism prots for te destination 15

16 are Ω NC (n, R) = Π NC (n, R) + nπ NC (n, R). 4.2 Coordination provided by te destination management Tis type of coordination, external to te market, takes place if te otel and te local rm support te role and back te activity of a public autority, named destination management. Ten, we assume tat tis local autority is able to coordinate te local tourism sector troug informational and promotional activity and to sell te tourism experience in te destination (local goods and ospitality) as if it were an all-inclusive package. Formally, te analytical problem becomes te maximization of overall tourism prots (tourism expenditure) in te destination: max p,p vh = Ω (n, R, p, p ) were v is te daily price of te oliday in te destination (5). Assuming tat te second order conditions are satised, te rst order conditions for tis problem are Ω H p = H + p p + np X p = g (n, R, p, p ) + np X p = 0 (9) Ω p = p H X p + nx + np p = g (n, R, p, p H ) + p p = 0 from wic we get for eac R and n te optimal price for te destination p DM = φ (n, R) and p DM = φ (n, R), rm prots Π DM (n, R) and nπ DM (n, R), and total tourism prots Ω DM (n, R) = Π DM (n, R) + nπ DM (n, R). By comparing system (8) and (9) and because of Lemma 1 te following Proposition olds. Proposition 1 p DM < p NC and p DM < p NC and Ω DM > Ω NC. Proof. Te result follows from te second order conditions of te problem and te comparison of system (8) and (9). In particular, suppose tat p = p NC and p = p NC, ten from (9) and Lemma 1 Ω p large. = np X p < 0 and Ω p = p H p < 0, and consequently, because of concavity of Ω, p and p are too Te intuition beind tis result is tat wen goods are complements, teir prices are too ig wen tey are individually set, since rms are not able to internalize te negative eects a price increase as on te oter rm's demand and tus prots. Alternatively, te coordination of prices provided by te destination management allows to set a more ecient daily price for te tourism product, tus 16

17 leading to an increase in overall tourism expenditure even toug individual prices are lower. However, prots for one of te two rms could be lower wen price coordination is in place, if te externality is strongly asymmetric (tat is, te price of one good aects strongly te demand of te oter one but not te oter way around). For instance, consider te case were te price of overnigt stays as a strong negative impact on te demand of dierentiated tourism goods and services, and tat te eect of a cange in te price of tese latter on te demand of overnigt stays is negligible. Te destination management would in tis case internalize tis negative externality and tus x a lower price for overnigt stays, wile keeping te same price for tourism goods. As a consequence, prots of te ospitality service are lower, prots of te rm producing dierentiated tourism goods are larger and overall tourism prots are larger compared wit te case of no price coordination. In tis case te destination management sould also redistribute prots among its members. Note tat Proposition 1 olds for a generic demand function as long as X p satised. < 0 and H p < 0 and second order conditions are 4.3 Coordination Provided by a Tour Operator Coordination can also occur endogenously wen te market itself identies a new type of rm for managing te anticommon problem. Suc rm, wic is known as te tour operator in te business practice, stipulates contracts wit otels and local rms by anticipating a payment tat covers te market risk: te premium paid by rms for tis insurance activity is te discount granted on te full market price (Castellani & Mussoni, 2007). Te tour operator ten promotes and sells te services witin an all-inclusive oliday package, tus bearing te risk of no sale. Te contract is accepted by te otel and by te rm selling te dierentiated goods if, despite te discount, teir prots increase (or at least do not decrease) wit respect to te case of no coordination. Let us assume tat te tour operator oers a free-sale contract in order to buy services from local rms in wic te discounted price is p d for te overnigt stay and p d for eac dierentiated good, and were d and d are respectively te two discounts (to be interpreted as te insurance premium). Te economic goal of te tour operator is to maximize its own prots Π T O (again, we assume for te sake of simplicity tat te tour operator average costs are nil) subject to te participation constraint of te local rms: tey accept te contract rater tan selling directly on te market if and only if teir prots are at least as large as te prots tey get witout coordination. Suc optimization problem (for a dierent interpretation of te tour operator's activity in te coordination problem, see 17

18 Alvarez-Albelo & Hernandez-Martin, 2009), in a principal-agent setting is ence: max p,pπ T O = p H + npx (p d ) H n (p d) X (10) (11) are te participation constraints, were Π NC s.t. (p d ) H Π NC and (p d) X Π NC (11) and Π NC are te rms' prots obtained in Section 4.1 and constitute teir outside options of not accepting te tour operator's contract. If we assume tat te tour operator (te principal) oers to local rms (te agents) te minimum revenues of acceptance (wic transforms inequalities (11) into equalities, tus determining d and d ) and by replacing te binding participation constraints (11) into te tour operator's objective function (10) we obtain max p,p Π T O = p H + npx Π NC nπ NC (12) It is easy to verify tat te rst order conditions of (12) are te same as tose in (9) and tus optimal prices are p = p T O and p = p T O, wic are identical to tose of te destination management. 4.4 Discussion By comparing te solution of no coordination wit tose in te case of exogenous coordination troug te destination management and endogenous coordination troug te tour operator, we can state te following teorem. Teorem 1 (Te Coordination Teorem) Given te anticommon property of te tourism product, coordination among rms in te destination, wic can eiter be provided by te destination management or by a tour operator, increases tourism prots. Hence, te coordination of prices allows te tourism activity in te destination to be more ecient. 2 Note tat tis is an example of te prisoner dilemma were (price) coordination yields a Pareto superior solution to non-coordination. 2 If we assume tat dierentiated tourism goods and services are supplied by more tan one rm, eac wit some market power, ten in addition to te problem tat stems from te complementarity relation between accommodation and dierentiated tourism goods described above we ave an additional problem stemming from te substitutability between te single dierentiated goods/services, were it is well known tat rms carge lower tan socially optimal prices. In tis case rms do not internalize te positive external eect tat a price increase produces on te demand for anoter product. Tus, by considering togeter te complementarity and te substitutability problem, a more general coordination teorem still olds were exogenously or endogenously bot negative (due to te complementarity) and positive (due to te substitutability) externalities are internalized. 18

19 In case of coordination provided by te market as described in Section 4.3, owever, tere is a distributional conict between te tour operator and local rms. Independently of te way in wic te distribution is solved (wic depends on te bargaining power of local rms, te tour operator and, in a more general setting, on te number of tour operators competing for te destination, see Alvarez-Albelo and Hernandez-Martin, 2009), it is crucial to evaluate weter or not te tour operator is a local or a foreign rm. In fact, if te tour operator is a local rm, total tourism prots are te same as is in te case of coordination by destination management, altoug te distribution of te overall prots among local rms canges. More formally, total prots in te presence of a tour operator are Ω T O = Π T O + Π NC + nπ NC, and tus it is easy to see tat Ω T O = Ω DM. On te contrary, if te tour operator is a foreign rm, its prots do not contribute to te destination's income and tus total tourism prots of te destination are Ω T O = Π NC + nπ NC, and tus Ω T O = Ω NC < Ω DM, te dierence Ω DM Ω NC being te surplus generated by te price coordination and forming te tour operator's prots. It is ten possible to state a corollary of te Coordination Teorem by focusing on te distributional consequences of endogenous coordination. Corollary 1 Wen coordination is provided by a foreign tour operator, local prots are lower tan in te case of coordination provided by te destination management. Te type of coordination cosen in te destination is terefore not distribution neutral. Clearly, te solution of a local tour operator dominates a foreign one's (since in te former case te tour operator's prots remain in te local economy), but it is fundamental to recall tat tis corollary stems from te assumption of identical cost structure for bot tour operators, and tus in a more general setting, it may not old. It is likely tat for many destinations, particularly in developing countries, te local tour operator migt lack te skills or te market conditions to produce at suc a (low) cost. To simplify te exposition, in te remaining part of te paper we focus solely on te case of a local tour operator. 5 Te Optimal Level of Sopistication of te Tourism Product in te Destination In tis section we now move to te rst stage problem were te TD as to nd te optimal pattern of development, given te price solutions for te coordination problem dened in Section 4. We argue 19

20 tat, following a long-run strategy of development, te local policy maker can engage in investments tat enric te destination's natural as well as cultural resource endowments R. Moreover, we argue tat it can directly or indirectly control te degree of sopistication of te tourism product n. Tis is done, for example, troug eiter granting licenses to open sops or oter business activities or, in a more microfounded model, troug te taxing or subsidizing of te setup cost for single production/commercial facilities. In a full-edged model one sould rstly calculate te optimal private degree of product dierentiation, secondly calculate te optimal social one, and tirdly nd te optimal policy intervention suc tat te private one coincides wit te social one (owever, tis is beyond te scope of te paper). More formally, te TD faces te following maximization problem max n,r Ω ( n, R, p C, p C ) K (n, R) (13) s.t. Ω K Ω (14) were K (n, R) are te policy maker's cost of enforcing a degree of sopistication n and endowing te destination wit resources R, were K n > 0, K R > 0, 2 K n 2 > 0 and 2 K R 2 > 0. A cange in n and R aects tourism prots directly and indirectly troug a cange in p and p ; since te solution at te second stage is eiter exogenous or endogenous price coordination wit equilibrium prices ( p C = p T O = p DM ; p C = ) pt O = p DM, te indirect eect is of second order and can tus be neglected because of te envelop teorem. Formally, te total derivative of tourism prots wit respect to n is dω dn = Ω n + Ω p C p C n + Ω p C p C n (15) were te rst term is te direct eect of n on Ω and te last two terms are te indirect eects troug p C and p C, respectively. Because of te rst order condition (9) te indirect eects are negligible, i.e. Ω p C = 0 and Ω p C = 0, and tus only te direct eect matters, i.e. dω dn = Ω n. Te case of a cange in R gives symmetric results. Finally, (14) is a sustainable development constraint requiring tat tourism prots must be suciently large to guarantee te survival of te destination over time. Before caracterizing te solution to problem (13), we describe te analytical properties of Ω, wic is a special case of te results in Andergassen and Candela (2012b). Proposition 2 (a) Ω is increasing in R. (b) Ω is decreasing in te degree of tourism sopistication n if ε z H λ γ > 1 and is increasing if ε z H λ γ < 1, were λ γ γ 1 γ ( 1, 0). 20

Can a Lump-Sum Transfer Make Everyone Enjoy the Gains. from Free Trade?

Can a Lump-Sum Transfer Make Everyone Enjoy the Gains. from Free Trade? Can a Lump-Sum Transfer Make Everyone Enjoy te Gains from Free Trade? Yasukazu Icino Department of Economics, Konan University June 30, 2010 Abstract I examine lump-sum transfer rules to redistribute te

More information

Math 113 HW #5 Solutions

Math 113 HW #5 Solutions Mat 3 HW #5 Solutions. Exercise.5.6. Suppose f is continuous on [, 5] and te only solutions of te equation f(x) = 6 are x = and x =. If f() = 8, explain wy f(3) > 6. Answer: Suppose we ad tat f(3) 6. Ten

More information

Unemployment insurance/severance payments and informality in developing countries

Unemployment insurance/severance payments and informality in developing countries Unemployment insurance/severance payments and informality in developing countries David Bardey y and Fernando Jaramillo z First version: September 2011. Tis version: November 2011. Abstract We analyze

More information

The EOQ Inventory Formula

The EOQ Inventory Formula Te EOQ Inventory Formula James M. Cargal Matematics Department Troy University Montgomery Campus A basic problem for businesses and manufacturers is, wen ordering supplies, to determine wat quantity of

More information

How To Ensure That An Eac Edge Program Is Successful

How To Ensure That An Eac Edge Program Is Successful Introduction Te Economic Diversification and Growt Enterprises Act became effective on 1 January 1995. Te creation of tis Act was to encourage new businesses to start or expand in Newfoundland and Labrador.

More information

Strategic trading in a dynamic noisy market. Dimitri Vayanos

Strategic trading in a dynamic noisy market. Dimitri Vayanos LSE Researc Online Article (refereed) Strategic trading in a dynamic noisy market Dimitri Vayanos LSE as developed LSE Researc Online so tat users may access researc output of te Scool. Copyrigt and Moral

More information

Derivatives Math 120 Calculus I D Joyce, Fall 2013

Derivatives Math 120 Calculus I D Joyce, Fall 2013 Derivatives Mat 20 Calculus I D Joyce, Fall 203 Since we ave a good understanding of its, we can develop derivatives very quickly. Recall tat we defined te derivative f x of a function f at x to be te

More information

Instantaneous Rate of Change:

Instantaneous Rate of Change: Instantaneous Rate of Cange: Last section we discovered tat te average rate of cange in F(x) can also be interpreted as te slope of a scant line. Te average rate of cange involves te cange in F(x) over

More information

The modelling of business rules for dashboard reporting using mutual information

The modelling of business rules for dashboard reporting using mutual information 8 t World IMACS / MODSIM Congress, Cairns, Australia 3-7 July 2009 ttp://mssanz.org.au/modsim09 Te modelling of business rules for dasboard reporting using mutual information Gregory Calbert Command, Control,

More information

Geometric Stratification of Accounting Data

Geometric Stratification of Accounting Data Stratification of Accounting Data Patricia Gunning * Jane Mary Horgan ** William Yancey *** Abstract: We suggest a new procedure for defining te boundaries of te strata in igly skewed populations, usual

More information

Strategic trading and welfare in a dynamic market. Dimitri Vayanos

Strategic trading and welfare in a dynamic market. Dimitri Vayanos LSE Researc Online Article (refereed) Strategic trading and welfare in a dynamic market Dimitri Vayanos LSE as developed LSE Researc Online so tat users may access researc output of te Scool. Copyrigt

More information

Lecture 10: What is a Function, definition, piecewise defined functions, difference quotient, domain of a function

Lecture 10: What is a Function, definition, piecewise defined functions, difference quotient, domain of a function Lecture 10: Wat is a Function, definition, piecewise defined functions, difference quotient, domain of a function A function arises wen one quantity depends on anoter. Many everyday relationsips between

More information

Referendum-led Immigration Policy in the Welfare State

Referendum-led Immigration Policy in the Welfare State Referendum-led Immigration Policy in te Welfare State YUJI TAMURA Department of Economics, University of Warwick, UK First version: 12 December 2003 Updated: 16 Marc 2004 Abstract Preferences of eterogeneous

More information

M(0) = 1 M(1) = 2 M(h) = M(h 1) + M(h 2) + 1 (h > 1)

M(0) = 1 M(1) = 2 M(h) = M(h 1) + M(h 2) + 1 (h > 1) Insertion and Deletion in VL Trees Submitted in Partial Fulfillment of te Requirements for Dr. Eric Kaltofen s 66621: nalysis of lgoritms by Robert McCloskey December 14, 1984 1 ackground ccording to Knut

More information

College Planning Using Cash Value Life Insurance

College Planning Using Cash Value Life Insurance College Planning Using Cas Value Life Insurance CAUTION: Te advisor is urged to be extremely cautious of anoter college funding veicle wic provides a guaranteed return of premium immediately if funded

More information

SAMPLE DESIGN FOR THE TERRORISM RISK INSURANCE PROGRAM SURVEY

SAMPLE DESIGN FOR THE TERRORISM RISK INSURANCE PROGRAM SURVEY ASA Section on Survey Researc Metods SAMPLE DESIG FOR TE TERRORISM RISK ISURACE PROGRAM SURVEY G. ussain Coudry, Westat; Mats yfjäll, Statisticon; and Marianne Winglee, Westat G. ussain Coudry, Westat,

More information

Theoretical calculation of the heat capacity

Theoretical calculation of the heat capacity eoretical calculation of te eat capacity Principle of equipartition of energy Heat capacity of ideal and real gases Heat capacity of solids: Dulong-Petit, Einstein, Debye models Heat capacity of metals

More information

Pre-trial Settlement with Imperfect Private Monitoring

Pre-trial Settlement with Imperfect Private Monitoring Pre-trial Settlement wit Imperfect Private Monitoring Mostafa Beskar University of New Hampsire Jee-Hyeong Park y Seoul National University July 2011 Incomplete, Do Not Circulate Abstract We model pretrial

More information

- 1 - Handout #22 May 23, 2012 Huffman Encoding and Data Compression. CS106B Spring 2012. Handout by Julie Zelenski with minor edits by Keith Schwarz

- 1 - Handout #22 May 23, 2012 Huffman Encoding and Data Compression. CS106B Spring 2012. Handout by Julie Zelenski with minor edits by Keith Schwarz CS106B Spring 01 Handout # May 3, 01 Huffman Encoding and Data Compression Handout by Julie Zelenski wit minor edits by Keit Scwarz In te early 1980s, personal computers ad ard disks tat were no larger

More information

ACT Math Facts & Formulas

ACT Math Facts & Formulas Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Rationals: fractions, tat is, anyting expressable as a ratio of integers Reals: integers plus rationals plus special numbers suc as

More information

What is Advanced Corporate Finance? What is finance? What is Corporate Finance? Deciding how to optimally manage a firm s assets and liabilities.

What is Advanced Corporate Finance? What is finance? What is Corporate Finance? Deciding how to optimally manage a firm s assets and liabilities. Wat is? Spring 2008 Note: Slides are on te web Wat is finance? Deciding ow to optimally manage a firm s assets and liabilities. Managing te costs and benefits associated wit te timing of cas in- and outflows

More information

Verifying Numerical Convergence Rates

Verifying Numerical Convergence Rates 1 Order of accuracy Verifying Numerical Convergence Rates We consider a numerical approximation of an exact value u. Te approximation depends on a small parameter, suc as te grid size or time step, and

More information

Free Shipping and Repeat Buying on the Internet: Theory and Evidence

Free Shipping and Repeat Buying on the Internet: Theory and Evidence Free Sipping and Repeat Buying on te Internet: eory and Evidence Yingui Yang, Skander Essegaier and David R. Bell 1 June 13, 2005 1 Graduate Scool of Management, University of California at Davis (yiyang@ucdavis.edu)

More information

Section 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations

Section 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations Difference Equations to Differential Equations Section 3.3 Differentiation of Polynomials an Rational Functions In tis section we begin te task of iscovering rules for ifferentiating various classes of

More information

2.23 Gambling Rehabilitation Services. Introduction

2.23 Gambling Rehabilitation Services. Introduction 2.23 Gambling Reabilitation Services Introduction Figure 1 Since 1995 provincial revenues from gambling activities ave increased over 56% from $69.2 million in 1995 to $108 million in 2004. Te majority

More information

SAT Subject Math Level 1 Facts & Formulas

SAT Subject Math Level 1 Facts & Formulas Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reals: integers plus fractions, decimals, and irrationals ( 2, 3, π, etc.) Order Of Operations: Aritmetic Sequences: PEMDAS (Parenteses

More information

In other words the graph of the polynomial should pass through the points

In other words the graph of the polynomial should pass through the points Capter 3 Interpolation Interpolation is te problem of fitting a smoot curve troug a given set of points, generally as te grap of a function. It is useful at least in data analysis (interpolation is a form

More information

1.6. Analyse Optimum Volume and Surface Area. Maximum Volume for a Given Surface Area. Example 1. Solution

1.6. Analyse Optimum Volume and Surface Area. Maximum Volume for a Given Surface Area. Example 1. Solution 1.6 Analyse Optimum Volume and Surface Area Estimation and oter informal metods of optimizing measures suc as surface area and volume often lead to reasonable solutions suc as te design of te tent in tis

More information

An inquiry into the multiplier process in IS-LM model

An inquiry into the multiplier process in IS-LM model An inquiry into te multiplier process in IS-LM model Autor: Li ziran Address: Li ziran, Room 409, Building 38#, Peing University, Beijing 00.87,PRC. Pone: (86) 00-62763074 Internet Address: jefferson@water.pu.edu.cn

More information

FINITE DIFFERENCE METHODS

FINITE DIFFERENCE METHODS FINITE DIFFERENCE METHODS LONG CHEN Te best known metods, finite difference, consists of replacing eac derivative by a difference quotient in te classic formulation. It is simple to code and economic to

More information

The Dynamics of Movie Purchase and Rental Decisions: Customer Relationship Implications to Movie Studios

The Dynamics of Movie Purchase and Rental Decisions: Customer Relationship Implications to Movie Studios Te Dynamics of Movie Purcase and Rental Decisions: Customer Relationsip Implications to Movie Studios Eddie Ree Associate Professor Business Administration Stoneill College 320 Wasington St Easton, MA

More information

Guide to Cover Letters & Thank You Letters

Guide to Cover Letters & Thank You Letters Guide to Cover Letters & Tank You Letters 206 Strebel Student Center (315) 792-3087 Fax (315) 792-3370 TIPS FOR WRITING A PERFECT COVER LETTER Te resume never travels alone. Eac time you submit your resume

More information

Schedulability Analysis under Graph Routing in WirelessHART Networks

Schedulability Analysis under Graph Routing in WirelessHART Networks Scedulability Analysis under Grap Routing in WirelessHART Networks Abusayeed Saifulla, Dolvara Gunatilaka, Paras Tiwari, Mo Sa, Cenyang Lu, Bo Li Cengjie Wu, and Yixin Cen Department of Computer Science,

More information

Pressure. Pressure. Atmospheric pressure. Conceptual example 1: Blood pressure. Pressure is force per unit area:

Pressure. Pressure. Atmospheric pressure. Conceptual example 1: Blood pressure. Pressure is force per unit area: Pressure Pressure is force per unit area: F P = A Pressure Te direction of te force exerted on an object by a fluid is toward te object and perpendicular to its surface. At a microscopic level, te force

More information

Optimized Data Indexing Algorithms for OLAP Systems

Optimized Data Indexing Algorithms for OLAP Systems Database Systems Journal vol. I, no. 2/200 7 Optimized Data Indexing Algoritms for OLAP Systems Lucian BORNAZ Faculty of Cybernetics, Statistics and Economic Informatics Academy of Economic Studies, Bucarest

More information

EC201 Intermediate Macroeconomics. EC201 Intermediate Macroeconomics Problem set 8 Solution

EC201 Intermediate Macroeconomics. EC201 Intermediate Macroeconomics Problem set 8 Solution EC201 Intermediate Macroeconomics EC201 Intermediate Macroeconomics Prolem set 8 Solution 1) Suppose tat te stock of mone in a given econom is given te sum of currenc and demand for current accounts tat

More information

TRADING AWAY WIDE BRANDS FOR CHEAP BRANDS. Swati Dhingra London School of Economics and CEP. Online Appendix

TRADING AWAY WIDE BRANDS FOR CHEAP BRANDS. Swati Dhingra London School of Economics and CEP. Online Appendix TRADING AWAY WIDE BRANDS FOR CHEAP BRANDS Swati Dingra London Scool of Economics and CEP Online Appendix APPENDIX A. THEORETICAL & EMPIRICAL RESULTS A.1. CES and Logit Preferences: Invariance of Innovation

More information

Dynamic Competitive Insurance

Dynamic Competitive Insurance Dynamic Competitive Insurance Vitor Farina Luz June 26, 205 Abstract I analyze long-term contracting in insurance markets wit asymmetric information and a finite or infinite orizon. Risk neutral firms

More information

New Vocabulary volume

New Vocabulary volume -. Plan Objectives To find te volume of a prism To find te volume of a cylinder Examples Finding Volume of a Rectangular Prism Finding Volume of a Triangular Prism 3 Finding Volume of a Cylinder Finding

More information

Analyzing the Effects of Insuring Health Risks:

Analyzing the Effects of Insuring Health Risks: Analyzing te Effects of Insuring Healt Risks: On te Trade-off between Sort Run Insurance Benefits vs. Long Run Incentive Costs Harold L. Cole University of Pennsylvania and NBER Soojin Kim University of

More information

Pretrial Settlement with Imperfect Private Monitoring

Pretrial Settlement with Imperfect Private Monitoring Pretrial Settlement wit Imperfect Private Monitoring Mostafa Beskar Indiana University Jee-Hyeong Park y Seoul National University April, 2016 Extremely Preliminary; Please Do Not Circulate. Abstract We

More information

The Demand for Food Away From Home Full-Service or Fast Food?

The Demand for Food Away From Home Full-Service or Fast Food? United States Department of Agriculture Electronic Report from te Economic Researc Service www.ers.usda.gov Agricultural Economic Report No. 829 January 2004 Te Demand for Food Away From Home Full-Service

More information

Catalogue no. 12-001-XIE. Survey Methodology. December 2004

Catalogue no. 12-001-XIE. Survey Methodology. December 2004 Catalogue no. 1-001-XIE Survey Metodology December 004 How to obtain more information Specific inquiries about tis product and related statistics or services sould be directed to: Business Survey Metods

More information

Math Test Sections. The College Board: Expanding College Opportunity

Math Test Sections. The College Board: Expanding College Opportunity Taking te SAT I: Reasoning Test Mat Test Sections Te materials in tese files are intended for individual use by students getting ready to take an SAT Program test; permission for any oter use must be sougt

More information

Welfare, financial innovation and self insurance in dynamic incomplete markets models

Welfare, financial innovation and self insurance in dynamic incomplete markets models Welfare, financial innovation and self insurance in dynamic incomplete markets models Paul Willen Department of Economics Princeton University First version: April 998 Tis version: July 999 Abstract We

More information

Global Sourcing of Complex Production Processes

Global Sourcing of Complex Production Processes Global Sourcing of Complex Production Processes December 2013 Cristian Scwarz Jens Suedekum Abstract We develop a teory of a firm in an incomplete contracts environment wic decides on te complexity, te

More information

f(a + h) f(a) f (a) = lim

f(a + h) f(a) f (a) = lim Lecture 7 : Derivative AS a Function In te previous section we defined te derivative of a function f at a number a (wen te function f is defined in an open interval containing a) to be f (a) 0 f(a + )

More information

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12.

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12. Capter 6. Fluid Mecanics Notes: Most of te material in tis capter is taken from Young and Freedman, Cap. 12. 6.1 Fluid Statics Fluids, i.e., substances tat can flow, are te subjects of tis capter. But

More information

CHAPTER 7. Di erentiation

CHAPTER 7. Di erentiation CHAPTER 7 Di erentiation 1. Te Derivative at a Point Definition 7.1. Let f be a function defined on a neigborood of x 0. f is di erentiable at x 0, if te following it exists: f 0 fx 0 + ) fx 0 ) x 0 )=.

More information

THE IMPACT OF INTERLINKED INDEX INSURANCE AND CREDIT CONTRACTS ON FINANCIAL MARKET DEEPENING AND SMALL FARM PRODUCTIVITY

THE IMPACT OF INTERLINKED INDEX INSURANCE AND CREDIT CONTRACTS ON FINANCIAL MARKET DEEPENING AND SMALL FARM PRODUCTIVITY THE IMPACT OF INTERLINKED INDEX INSURANCE AND CREDIT CONTRACTS ON FINANCIAL MARKET DEEPENING AND SMALL FARM PRODUCTIVITY Micael R. Carter Lan Ceng Alexander Sarris University of California, Davis University

More information

Working Capital 2013 UK plc s unproductive 69 billion

Working Capital 2013 UK plc s unproductive 69 billion 2013 Executive summary 2. Te level of excess working capital increased 3. UK sectors acieve a mixed performance 4. Size matters in te supply cain 6. Not all companies are overflowing wit cas 8. Excess

More information

Area-Specific Recreation Use Estimation Using the National Visitor Use Monitoring Program Data

Area-Specific Recreation Use Estimation Using the National Visitor Use Monitoring Program Data United States Department of Agriculture Forest Service Pacific Nortwest Researc Station Researc Note PNW-RN-557 July 2007 Area-Specific Recreation Use Estimation Using te National Visitor Use Monitoring

More information

2.12 Student Transportation. Introduction

2.12 Student Transportation. Introduction Introduction Figure 1 At 31 Marc 2003, tere were approximately 84,000 students enrolled in scools in te Province of Newfoundland and Labrador, of wic an estimated 57,000 were transported by scool buses.

More information

Intermediate Microeconomics (22014)

Intermediate Microeconomics (22014) Intermediate Microeconomics (22014) I. Consumer Instructor: Marc Teignier-Baqué First Semester, 2011 Outline Part I. Consumer 1. umer 1.1 Budget Constraints 1.2 Preferences 1.3 Utility Function 1.4 1.5

More information

THE ROLE OF LABOUR DEMAND ELASTICITIES IN TAX INCIDENCE ANALYSIS WITH HETEROGENEOUS LABOUR

THE ROLE OF LABOUR DEMAND ELASTICITIES IN TAX INCIDENCE ANALYSIS WITH HETEROGENEOUS LABOUR THE ROLE OF LABOUR DEMAND ELASTICITIES IN TAX INCIDENCE ANALYSIS WITH HETEROGENEOUS LABOUR Kesab Battarai 1,a and 1, a,b,c Jon Walley a Department of Economics, University of Warwick, Coventry, CV4 7AL,

More information

Improved dynamic programs for some batcing problems involving te maximum lateness criterion A P M Wagelmans Econometric Institute Erasmus University Rotterdam PO Box 1738, 3000 DR Rotterdam Te Neterlands

More information

2 Limits and Derivatives

2 Limits and Derivatives 2 Limits and Derivatives 2.7 Tangent Lines, Velocity, and Derivatives A tangent line to a circle is a line tat intersects te circle at exactly one point. We would like to take tis idea of tangent line

More information

Binary Search Trees. Adnan Aziz. Heaps can perform extract-max, insert efficiently O(log n) worst case

Binary Search Trees. Adnan Aziz. Heaps can perform extract-max, insert efficiently O(log n) worst case Binary Searc Trees Adnan Aziz 1 BST basics Based on CLRS, C 12. Motivation: Heaps can perform extract-max, insert efficiently O(log n) worst case Has tables can perform insert, delete, lookup efficiently

More information

Asymmetric Trade Liberalizations and Current Account Dynamics

Asymmetric Trade Liberalizations and Current Account Dynamics Asymmetric Trade Liberalizations and Current Account Dynamics Alessandro Barattieri January 15, 2015 Abstract Te current account deficits of Spain, Portugal and Greece are te result of large deficits in

More information

Note nine: Linear programming CSE 101. 1 Linear constraints and objective functions. 1.1 Introductory example. Copyright c Sanjoy Dasgupta 1

Note nine: Linear programming CSE 101. 1 Linear constraints and objective functions. 1.1 Introductory example. Copyright c Sanjoy Dasgupta 1 Copyrigt c Sanjoy Dasgupta Figure. (a) Te feasible region for a linear program wit two variables (see tet for details). (b) Contour lines of te objective function: for different values of (profit). Te

More information

Distances in random graphs with infinite mean degrees

Distances in random graphs with infinite mean degrees Distances in random graps wit infinite mean degrees Henri van den Esker, Remco van der Hofstad, Gerard Hoogiemstra and Dmitri Znamenski April 26, 2005 Abstract We study random graps wit an i.i.d. degree

More information

Tangent Lines and Rates of Change

Tangent Lines and Rates of Change Tangent Lines and Rates of Cange 9-2-2005 Given a function y = f(x), ow do you find te slope of te tangent line to te grap at te point P(a, f(a))? (I m tinking of te tangent line as a line tat just skims

More information

Shell and Tube Heat Exchanger

Shell and Tube Heat Exchanger Sell and Tube Heat Excanger MECH595 Introduction to Heat Transfer Professor M. Zenouzi Prepared by: Andrew Demedeiros, Ryan Ferguson, Bradford Powers November 19, 2009 1 Abstract 2 Contents Discussion

More information

Environmental Policy and Competitiveness: The Porter Hypothesis and the Composition of Capital 1

Environmental Policy and Competitiveness: The Porter Hypothesis and the Composition of Capital 1 Journal of Environmental Economics and Management 7, 65 8 Ž 999. Article ID jeem.998.6, available online at ttp: www.idealibrary.com on Environmental Policy and Competitiveness: Te Porter ypotesis and

More information

SWITCH T F T F SELECT. (b) local schedule of two branches. (a) if-then-else construct A & B MUX. one iteration cycle

SWITCH T F T F SELECT. (b) local schedule of two branches. (a) if-then-else construct A & B MUX. one iteration cycle 768 IEEE RANSACIONS ON COMPUERS, VOL. 46, NO. 7, JULY 997 Compile-ime Sceduling of Dynamic Constructs in Dataæow Program Graps Soonoi Ha, Member, IEEE and Edward A. Lee, Fellow, IEEE Abstract Sceduling

More information

A strong credit score can help you score a lower rate on a mortgage

A strong credit score can help you score a lower rate on a mortgage NET GAIN Scoring points for your financial future AS SEEN IN USA TODAY S MONEY SECTION, JULY 3, 2007 A strong credit score can elp you score a lower rate on a mortgage By Sandra Block Sales of existing

More information

Investing in Roads: Pricing, Costs and New Capacity

Investing in Roads: Pricing, Costs and New Capacity Investing in Roads: Pricing, Costs and New Capacity Cristoper rcer Stepen Glaister Department of Civil and Environmental Engineering Imperial College London November 2006 Researc commissioned by te Independent

More information

Yale ICF Working Paper No. 05-11 May 2005

Yale ICF Working Paper No. 05-11 May 2005 Yale ICF Working Paper No. 05-11 May 2005 HUMAN CAPITAL, AET ALLOCATION, AND LIFE INURANCE Roger G. Ibbotson, Yale cool of Management, Yale University Peng Cen, Ibbotson Associates Mose Milevsky, culic

More information

Writing Mathematics Papers

Writing Mathematics Papers Writing Matematics Papers Tis essay is intended to elp your senior conference paper. It is a somewat astily produced amalgam of advice I ave given to students in my PDCs (Mat 4 and Mat 9), so it s not

More information

ANALYTICAL REPORT ON THE 2010 URBAN EMPLOYMENT UNEMPLOYMENT SURVEY

ANALYTICAL REPORT ON THE 2010 URBAN EMPLOYMENT UNEMPLOYMENT SURVEY THE FEDERAL DEMOCRATIC REPUBLIC OF ETHIOPIA CENTRAL STATISTICAL AGENCY ANALYTICAL REPORT ON THE 2010 URBAN EMPLOYMENT UNEMPLOYMENT SURVEY Addis Ababa December 2010 STATISTICAL BULLETIN TABLE OF CONTENT

More information

Torchmark Corporation 2001 Third Avenue South Birmingham, Alabama 35233 Contact: Joyce Lane 972-569-3627 NYSE Symbol: TMK

Torchmark Corporation 2001 Third Avenue South Birmingham, Alabama 35233 Contact: Joyce Lane 972-569-3627 NYSE Symbol: TMK News Release Torcmark Corporation 2001 Tird Avenue Sout Birmingam, Alabama 35233 Contact: Joyce Lane 972-569-3627 NYSE Symbol: TMK TORCHMARK CORPORATION REPORTS FOURTH QUARTER AND YEAR-END 2004 RESULTS

More information

A system to monitor the quality of automated coding of textual answers to open questions

A system to monitor the quality of automated coding of textual answers to open questions Researc in Official Statistics Number 2/2001 A system to monitor te quality of automated coding of textual answers to open questions Stefania Maccia * and Marcello D Orazio ** Italian National Statistical

More information

Tis Problem and Retail Inventory Management

Tis Problem and Retail Inventory Management Optimizing Inventory Replenisment of Retail Fasion Products Marsall Fiser Kumar Rajaram Anant Raman Te Warton Scool, University of Pennsylvania, 3620 Locust Walk, 3207 SH-DH, Piladelpia, Pennsylvania 19104-6366

More information

Human Capital, Asset Allocation, and Life Insurance

Human Capital, Asset Allocation, and Life Insurance Human Capital, Asset Allocation, and Life Insurance By: P. Cen, R. Ibbotson, M. Milevsky and K. Zu Version: February 25, 2005 Note: A Revised version of tis paper is fortcoming in te Financial Analysts

More information

Operation go-live! Mastering the people side of operational readiness

Operation go-live! Mastering the people side of operational readiness ! I 2 London 2012 te ultimate Up to 30% of te value of a capital programme can be destroyed due to operational readiness failures. 1 In te complex interplay between tecnology, infrastructure and process,

More information

Equilibrium Forward Curves for Commodities

Equilibrium Forward Curves for Commodities THE JOURNAL OF FINANCE VOL. LV, NO. 3 JUNE 2000 Equilibrium Forward Curves for Commodities BRYAN R. ROUTLEDGE, DUANE J. SEPPI, and CHESTER S. SPATT* ABSTRACT We develop an equilibrium model of te term

More information

Average and Instantaneous Rates of Change: The Derivative

Average and Instantaneous Rates of Change: The Derivative 9.3 verage and Instantaneous Rates of Cange: Te Derivative 609 OBJECTIVES 9.3 To define and find average rates of cange To define te derivative as a rate of cange To use te definition of derivative to

More information

Pioneer Fund Story. Searching for Value Today and Tomorrow. Pioneer Funds Equities

Pioneer Fund Story. Searching for Value Today and Tomorrow. Pioneer Funds Equities Pioneer Fund Story Searcing for Value Today and Tomorrow Pioneer Funds Equities Pioneer Fund A Cornerstone of Financial Foundations Since 1928 Te fund s relatively cautious stance as kept it competitive

More information

KM client format supported by KB valid from 13 May 2015

KM client format supported by KB valid from 13 May 2015 supported by KB valid from 13 May 2015 1/16 VRSION 1.2. UPDATD: 13.12.2005. 1 Introduction... 2 1.1 Purpose of tis document... 2 1.2 Caracteristics of te KM format... 2 2 Formal ceck of KM format... 3

More information

Government Debt and Optimal Monetary and Fiscal Policy

Government Debt and Optimal Monetary and Fiscal Policy Government Debt and Optimal Monetary and Fiscal Policy Klaus Adam Manneim University and CEPR - preliminary version - June 7, 21 Abstract How do di erent levels of government debt a ect te optimal conduct

More information

Comparison between two approaches to overload control in a Real Server: local or hybrid solutions?

Comparison between two approaches to overload control in a Real Server: local or hybrid solutions? Comparison between two approaces to overload control in a Real Server: local or ybrid solutions? S. Montagna and M. Pignolo Researc and Development Italtel S.p.A. Settimo Milanese, ITALY Abstract Tis wor

More information

Heterogeneous firms and trade costs: a reading of French access to European agrofood

Heterogeneous firms and trade costs: a reading of French access to European agrofood Heterogeneous firms and trade costs: a reading of Frenc access to European agrofood markets Cevassus-Lozza E., Latouce K. INRA, UR 34, F-44000 Nantes, France Abstract Tis article offers a new reading of

More information

FINANCIAL SECTOR INEFFICIENCIES AND THE DEBT LAFFER CURVE

FINANCIAL SECTOR INEFFICIENCIES AND THE DEBT LAFFER CURVE INTERNATIONAL JOURNAL OF FINANCE AND ECONOMICS Int. J. Fin. Econ. 10: 1 13 (2005) Publised online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/ijfe.251 FINANCIAL SECTOR INEFFICIENCIES

More information

Children as insurance

Children as insurance J Popul Econ 2001) 14: 119±136 999 2001 Cildren as insurance Claus Cr. PoÈrtner University of Copenagen, Institute of Economics, Studiestraede 6, 1455 Copenagen K, Denmark Fax: 45-35323085, e-mail: claus.poertner@econ.ku.dk)

More information

Cyber Epidemic Models with Dependences

Cyber Epidemic Models with Dependences Cyber Epidemic Models wit Dependences Maocao Xu 1, Gaofeng Da 2 and Souuai Xu 3 1 Department of Matematics, Illinois State University mxu2@ilstu.edu 2 Institute for Cyber Security, University of Texas

More information

Chapter 11. Limits and an Introduction to Calculus. Selected Applications

Chapter 11. Limits and an Introduction to Calculus. Selected Applications Capter Limits and an Introduction to Calculus. Introduction to Limits. Tecniques for Evaluating Limits. Te Tangent Line Problem. Limits at Infinit and Limits of Sequences.5 Te Area Problem Selected Applications

More information

DEPARTMENT OF ECONOMICS HOUSEHOLD DEBT AND FINANCIAL ASSETS: EVIDENCE FROM GREAT BRITAIN, GERMANY AND THE UNITED STATES

DEPARTMENT OF ECONOMICS HOUSEHOLD DEBT AND FINANCIAL ASSETS: EVIDENCE FROM GREAT BRITAIN, GERMANY AND THE UNITED STATES DEPARTMENT OF ECONOMICS HOUSEHOLD DEBT AND FINANCIAL ASSETS: EVIDENCE FROM GREAT BRITAIN, GERMANY AND THE UNITED STATES Sara Brown, University of Leicester, UK Karl Taylor, University of Leicester, UK

More information

2.1: The Derivative and the Tangent Line Problem

2.1: The Derivative and the Tangent Line Problem .1.1.1: Te Derivative and te Tangent Line Problem Wat is te deinition o a tangent line to a curve? To answer te diiculty in writing a clear deinition o a tangent line, we can deine it as te iting position

More information

Determine the perimeter of a triangle using algebra Find the area of a triangle using the formula

Determine the perimeter of a triangle using algebra Find the area of a triangle using the formula Student Name: Date: Contact Person Name: Pone Number: Lesson 0 Perimeter, Area, and Similarity of Triangles Objectives Determine te perimeter of a triangle using algebra Find te area of a triangle using

More information

Computer Science and Engineering, UCSD October 7, 1999 Goldreic-Levin Teorem Autor: Bellare Te Goldreic-Levin Teorem 1 Te problem We æx a an integer n for te lengt of te strings involved. If a is an n-bit

More information

a joint initiative of Cost of Production Calculator

a joint initiative of Cost of Production Calculator a joint initiative of Cost of Production Calculator 1 KEY BENEFITS Learn to use te MAKING MORE FROM SHEEP cost of production calculator to: Measure te performance of your seep enterprise year on year Compare

More information

1. Case description. Best practice description

1. Case description. Best practice description 1. Case description Best practice description Tis case sows ow a large multinational went troug a bottom up organisational cange to become a knowledge-based company. A small community on knowledge Management

More information

Rewards-Supply Aggregate Planning in the Management of Loyalty Reward Programs - A Stochastic Linear Programming Approach

Rewards-Supply Aggregate Planning in the Management of Loyalty Reward Programs - A Stochastic Linear Programming Approach Rewards-Supply Aggregate Planning in te Management of Loyalty Reward Programs - A Stocastic Linear Programming Approac YUHENG CAO, B.I.B., M.Sc. A tesis submitted to te Faculty of Graduate and Postdoctoral

More information

THE NEISS SAMPLE (DESIGN AND IMPLEMENTATION) 1997 to Present. Prepared for public release by:

THE NEISS SAMPLE (DESIGN AND IMPLEMENTATION) 1997 to Present. Prepared for public release by: THE NEISS SAMPLE (DESIGN AND IMPLEMENTATION) 1997 to Present Prepared for public release by: Tom Scroeder Kimberly Ault Division of Hazard and Injury Data Systems U.S. Consumer Product Safety Commission

More information

Sections 3.1/3.2: Introducing the Derivative/Rules of Differentiation

Sections 3.1/3.2: Introducing the Derivative/Rules of Differentiation Sections 3.1/3.2: Introucing te Derivative/Rules of Differentiation 1 Tangent Line Before looking at te erivative, refer back to Section 2.1, looking at average velocity an instantaneous velocity. Here

More information

Bonferroni-Based Size-Correction for Nonstandard Testing Problems

Bonferroni-Based Size-Correction for Nonstandard Testing Problems Bonferroni-Based Size-Correction for Nonstandard Testing Problems Adam McCloskey Brown University October 2011; Tis Version: October 2012 Abstract We develop powerful new size-correction procedures for

More information

13 PERIMETER AND AREA OF 2D SHAPES

13 PERIMETER AND AREA OF 2D SHAPES 13 PERIMETER AND AREA OF D SHAPES 13.1 You can find te perimeter of sapes Key Points Te perimeter of a two-dimensional (D) sape is te total distance around te edge of te sape. l To work out te perimeter

More information

The New Trade Theory. Monopoly and oligopoly in trade. Luca De Benedictis 1. Topic 3. 1 University of Macerata

The New Trade Theory. Monopoly and oligopoly in trade. Luca De Benedictis 1. Topic 3. 1 University of Macerata The New Trade Theory Monopoly and oligopoly in trade Luca De Benedictis 1 1 University of Macerata Topic 3 A new generation of models Main characteristics and insights: Countries do not trade, rms do.

More information

Research on the Anti-perspective Correction Algorithm of QR Barcode

Research on the Anti-perspective Correction Algorithm of QR Barcode Researc on te Anti-perspective Correction Algoritm of QR Barcode Jianua Li, Yi-Wen Wang, YiJun Wang,Yi Cen, Guoceng Wang Key Laboratory of Electronic Tin Films and Integrated Devices University of Electronic

More information

NAFN NEWS SPRING2011 ISSUE 7. Welcome to the Spring edition of the NAFN Newsletter! INDEX. Service Updates Follow That Car! Turn Back The Clock

NAFN NEWS SPRING2011 ISSUE 7. Welcome to the Spring edition of the NAFN Newsletter! INDEX. Service Updates Follow That Car! Turn Back The Clock NAFN NEWS ISSUE 7 SPRING2011 Welcome to te Spring edition of te NAFN Newsletter! Spring is in te air at NAFN as we see several new services cropping up. Driving and transport emerged as a natural teme

More information