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Zeitschriftenartikel zum Thema „Geographic economics“

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Autor: Grafiati

Veröffentlicht am 1. Juni 2024

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1

Hong, Junjie. „Testing geographic and economic distance of agglomeration economies“. Journal of Chinese Economic and Foreign Trade Studies 4, Nr. 1 (08.02.2011): 55–59. http://dx.doi.org/10.1108/17544401111106815.

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2

Erickson, Rodney A. „The influence of economics on geographic inquiry“. Progress in Human Geography 13, Nr. 2 (Juni 1989): 223–49. http://dx.doi.org/10.1177/030913258901300204.

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3

Crane, Steven E., und Patrick J. Welch. „The problem of geographic market definition: Geographic proximity vs. economic significance“. Atlantic Economic Journal 19, Nr. 2 (Juni 1991): 12–20. http://dx.doi.org/10.1007/bf02299069.

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4

Winters, John V., und Weineng Xu. „Geographic Differences in the Earnings of Economics Majors“. Journal of Economic Education 45, Nr. 3 (03.07.2014): 262–76. http://dx.doi.org/10.1080/00220485.2014.917912.

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5

Peterson, Kenneth D. „Using a Geographic Information System to Teach Economics“. Journal of Economic Education 31, Nr. 2 (Januar 2000): 169–78. http://dx.doi.org/10.1080/00220480009596773.

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6

Peterson, Kenneth D. „Using a Geographic Information System to Teach Economics“. Journal of Economic Education 31, Nr. 2 (2000): 169. http://dx.doi.org/10.2307/1183188.

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7

Coen‐Pirani, Daniele. „GEOGRAPHIC MOBILITY AND REDISTRIBUTION“. International Economic Review 62, Nr. 3 (19.03.2021): 921–52. http://dx.doi.org/10.1111/iere.12508.

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8

Uri, Noel D., John Howell und Edward J. Rifkin. „On defining geographic markets“. Applied Economics 17, Nr. 6 (Dezember 1985): 959–77. http://dx.doi.org/10.1080/00036848500000061.

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9

Angus, Simon D., Kadir Atalay, Jonathan Newton und David Ubilava. „Geographic diversity in economic publishing“. Journal of Economic Behavior & Organization 190 (Oktober 2021): 255–62. http://dx.doi.org/10.1016/j.jebo.2021.08.005.

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10

Kiptenko, V. „GLOBALIZATION: THE GEOGRAPHICAL NEXUS“. Bulletin of Taras Shevchenko National University of Kyiv. Geography, Nr. 66-67 (2017): 37–41. http://dx.doi.org/10.17721/1728-2721.2017.66.4.

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Geography as both a discipline and wide discourse explicitly aims to conceive the Earth as a whole. Human geography contributed a lot to the critical study of globalization. However, the academic inquiry suggests the lack of conceptualization, which can serve as a readable scholarly framework, teaching and learning in particular. This article scopes the weave of terms related to globalization and geography based on the Dictionary of Human Geography. Acknowledging the reservations of the Dictionary of Human Geography itself and understanding the limitations of the survey based on yet one dictionary this article ponders on the foundations, which can framework the geographical approach to globalization. Focus on detecting the key concepts mentioned in the topical article, clarifying their interpretation and logical context for geographical nexus paves the way for platforming the systemized and generalized conceptualization. The basic concepts of economics and social sciences design the ‘flat-world’ metaphor. The last serves to the vital task of human geography aimed to disclosure of taken-for-granted geographical imaginary and an investigation of its (often unacknowledged) effects, thus, geographical conceptualization of globalization. Geographic arguments serve as an integral part of the logic of the ‘flat-world’ geographic imaginary of globalization debunking. The evolution of academic responses to the ‘political version’ of the world’s general state suggests essence, limitations and further development of skeptical, parameterized, geographically sensitive approaches, and counter-hegemonic critique of neo-liberal globalization. The disciplinary nexus of globalization implicitly refers to economic, industrial and agricultural, population and labor, urban and rural, regional, contrapuntal and feminist geographies. Moreover, the context of the above consideration reinforces the role of human and physical the geographies and the formal theories of location and spatialization, in particular. Notions of spatial organization, place-transcending and place-remaking dynamics deterritalization and reterritorialization, etc. suggest the need for further reverse exploration of over thirty geographical concepts and terms – the space, the place, the territory, etc. – in the context of globalization discourse. The mental map of the conceptual framework of globalization and geographical nexus summarizes the key findings.

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11

Palomino, Juan. „Development of Regional Economics Studies in Peru: Contributions and Criticisms“. Economia 43, Nr. 86 (11.08.2020): 39–56. http://dx.doi.org/10.18800/economia.202002.002.

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This research presents an overview of the evolution of regional economic studies in Peru. After a brief introduction, the document presents a summary of the different conceptions of space in Regional Economics through time. In addition, the document shows the origins of Regional Economics, as well as the factors that explain the interest in the development of regional studies in the Latin American context. This document also explains the importance of the geographical space of Peru for regional research. Indeed, the country is the perfect setting because Peru has a wide geographic diversity (ecosystems, microclimates) throughout its territory, it has implemented a variety of public policies to propose economic growth measures, and it has many social issues to propose territorial policies (migration, crime, health, employment, among others). Despite these characteristics, regional research in Peru is relatively less than in other Latin American countries. Finally, the document offers the contributions and criticisms of the regional studies in the Peruvian context.

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12

Surico, Paolo. „Geographic Concentration and Increasing Returns“. Journal of Economic Surveys 17, Nr. 5 (12.11.2003): 693–708. http://dx.doi.org/10.1046/j.1467-6419.2003.00210.x.

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13

Andrle, Michal. „Principles of new economic geographic models“. Politická ekonomie 53, Nr. 6 (01.12.2005): 765–80. http://dx.doi.org/10.18267/j.polek.536.

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14

Couillard, Benjamin K., Christopher L. Foote, Kavish Gandhi, Ellen Meara und Jonathan Skinner. „Rising Geographic Disparities in US Mortality“. Journal of Economic Perspectives 35, Nr. 4 (01.11.2021): 123–46. http://dx.doi.org/10.1257/jep.35.4.123.

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The twenty-first century has been a period of rising inequality in both income and health. In this paper, we find that geographic inequality in mortality for midlife Americans increased by about 70 percent between 1992 and 2016. This was not simply because states like New York or California benefited from having a high fraction of college-educated residents who enjoyed the largest health gains during the last several decades. Nor was higher dispersion in mortality caused entirely by the increasing importance of “deaths of despair,” or by rising spatial income inequality during the same period. Instead, over time, state-level mortality has become increasingly correlated with state-level income; in 1992, income explained only 3 percent of mortality inequality, but by 2016, state-level income explained 58 percent. These mortality patterns are consistent with the view that high-income states in 1992 were better able to enact public health strategies and adopt behaviors that, over the next quarter-century, resulted in pronounced relative declines in mortality. The substantial longevity gains in high-income states led to greater cross-state inequality in mortality.

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15

Parsons, Christopher A., Riccardo Sabbatucci und Sheridan Titman. „Geographic Lead-Lag Effects“. Review of Financial Studies 33, Nr. 10 (08.01.2020): 4721–70. http://dx.doi.org/10.1093/rfs/hhz145.

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Abstract We document lead-lag effects on returns between coheadquartered firms in different sectors. Geographic lead-lags yield risk-adjusted returns of 5%–6% annually, half that observed for industry lead-lag effects. Whereas industry lead-lag effects are strongest among small, thinly traded stocks with low analyst coverage, geographic lead-lags are unrelated to these proxies for investor scrutiny. We propose an explanation linked to the structure of the investment analyst business, which is organized by sector, not by geographic region. Our findings suggest that in lead-lag relationships, analysts common to both leading and lagging firms are important, regardless of the number of analysts covering each individually.

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16

Clarke, Margaret Z. „Geographic Deregulation of Banking and Economic Growth“. Journal of Money, Credit, and Banking 36, Nr. 5 (2004): 929–42. http://dx.doi.org/10.1353/mcb.2004.0072.

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17

Dumas, Bernard, Tymur Gabuniya und Richard C. Marston. „Firms’ exposures to geographic risks“. Journal of International Money and Finance 122 (April 2022): 102549. http://dx.doi.org/10.1016/j.jimonfin.2021.102549.

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18

Johar, Meliyanni, Elizabeth Savage, Olena Stavrunova, Glenn Jones und Michael Keane. „Geographic Differences in Hospital Waiting Times“. Economic Record 88, Nr. 281 (16.03.2012): 165–81. http://dx.doi.org/10.1111/j.1475-4932.2011.00785.x.

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19

Keller, Wolfgang. „Geographic Localization of International Technology Diffusion“. American Economic Review 92, Nr. 1 (01.02.2002): 120–42. http://dx.doi.org/10.1257/000282802760015630.

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Income convergence across countries turns on whether technological knowledge spillovers are global or local. I estimate the amount of spillovers from R&D expenditures on a geographic basis, using a new data set which encompasses most of the world's innovative activity between 1970 and 1995. I find that technology is to a substantial degree local, not global, as the benefits from spillovers are declining with distance. The distance at which the amount of spillovers is halved is about 1,200 kilometers. I also find that over time, technological knowledge has become considerably more global. Moreover, language skills are important for spillover diffusion.

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20

Eckert, Heather, und Andrew Eckert. „The geographic distribution of environmental inspections“. Journal of Regulatory Economics 37, Nr. 1 (04.06.2009): 1–22. http://dx.doi.org/10.1007/s11149-009-9101-8.

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21

Yu, Xinchen, Jeremy Boy, Rene Clausen Nielsen und Lingzi Hong. „Linguistic Characteristics of Social Media Messages Spreading across Geographic and Linguistic Boundaries“. European Conference on Social Media 9, Nr. 1 (28.04.2022): 211–18. http://dx.doi.org/10.34190/ecsm.9.1.151.

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Social media enable messages to be exchanged beyond geographic constraints. Some of the messages could be shared and forwarded by people with different cultural backgrounds across different geographical regions. Studying the content of messages that can reach diverse populations is important for practices such as movement propagation and global marketing. Existing studies mainly investigated the characteristics of messages that are popular, i.e., shared or forwarded by more users. As the diffusion of information is prone to be echoed inside certain geographical and linguistic boundaries, popular messages are not always to be shared and spread across geographical and linguistic boundaries. We investigated the linguistic characteristics of social media messages that can reach and be disseminated by people across nations, and across geographic and linguistic boundaries in the MeToo movement. Specifically, we analyze the diffusion paths of messages according to the geolocation of tweets and conducted statistical analysis to compare the linguistic characteristic of tweets that spread across geographical or linguistic boundaries with those that do not. We focus on the linguistic characteristics from three aspects: ‘emotions’, ‘social relations’, and ‘economics, politics, and religion’. Our findings reveal that popular messages tend to contain more negative emotions, however, messages with negative emotions are unlikely to be disseminated across geographical or linguistic boundaries. On the other hand, messages on economic topics or non-adults’ issues are more probable to be disseminated universally. The findings provide insights on the content that is more probable to be shared and disseminated by people with different cultural backgrounds across geographical regions.

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22

SUTTHIPHISAL, DHANOOS. „The Geography of Invention in High- and Low-Technology Industries: Evidence from the Second Industrial Revolution“. Journal of Economic History 66, Nr. 2 (Juni 2006): 492–96. http://dx.doi.org/10.1017/s0022050706260200.

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Technological progress has long been widely recognized as a crucial source of economic growth. Many countries have, accordingly, devoted considerable resources to promote more rapid generation and diffusion of technology in their economies. Yet recent studies reveal a persistence of stark contrasts across countries and geographic space more generally, not only in productivity, but also in the generation of new technological knowledge. What accounts for these geographic disparities is not well understood.

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23

Beckert, Walter. „A Micro-Econometric Approach to Geographic Market Definition in Local Retail Markets: Demand Side Considerations“. Economics: The Open-Access, Open-Assessment E-Journal 4, Nr. 2010-29 (2010): 1. http://dx.doi.org/10.5018/economics-ejournal.ja.2010-29.

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24

Blier-Wong, Christopher, Hélène Cossette, Luc Lamontagne und Etienne Marceau. „GEOGRAPHIC RATEMAKING WITH SPATIAL EMBEDDINGS“. ASTIN Bulletin 52, Nr. 1 (04.10.2021): 1–31. http://dx.doi.org/10.1017/asb.2021.25.

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AbstractSpatial data are a rich source of information for actuarial applications: knowledge of a risk’s location could improve an insurance company’s ratemaking, reserving or risk management processes. Relying on historical geolocated loss data is problematic for areas where it is limited or unavailable. In this paper, we construct spatial embeddings within a complex convolutional neural network representation model using external census data and use them as inputs to a simple predictive model. Compared to spatial interpolation models, our approach leads to smaller predictive bias and reduced variance in most situations. This method also enables us to generate rates in territories with no historical experience.

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25

Toma, Michael, und Richard J. Cebula. „Geographic living-cost determinants: 1995“. Atlantic Economic Journal 28, Nr. 3 (September 2000): 380. http://dx.doi.org/10.1007/bf02298331.

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26

LEE, CHULHEE. „Health, Information, and Migration: Geographic Mobility of Union Army Veterans, 1860–1880“. Journal of Economic History 68, Nr. 3 (September 2008): 862–99. http://dx.doi.org/10.1017/s0022050708000661.

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This article explores how injuries, sickness, and the geographic mobility of Union Army veterans while in service affected their postservice migrations. Wartime wounds and illnesses significantly diminished the geographic mobility of veterans after the war. Geographic moves while carrying out military missions had strong positive effects on their postservice geographic mobility. Geographic moves while in service also influenced the choice of destination among the migrants. I discuss some implications of the results for the elements of self-selection in migration, the roles of different types of information in migration decisions, and the overall impact of the Civil War on geographic mobility.

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27

Proctor, Adrian J. „Identifying Geographic or Customer-Based Collusion“. World Competition 38, Issue 2 (01.06.2015): 253–80. http://dx.doi.org/10.54648/woco2015018.

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Several articles have considered procedures for identifying markets susceptible to coordination. When a checklist of factors is considered, firms are usually assumed to be coordinating based on price. In this article, this approach is adapted to accommodate markets that may be coordinating on other focal points based on geographic or customer allocations. Some of the check-list features are still valid, but others need to be seen in a new light. New approaches for identifying tacit collusion in these markets are outlined. The example of the recent UK market investigation into cement is discussed as well as some other literature.

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28

Jannati, Sima. „Geographic spillover of dominant firms’ shocks“. Journal of Banking & Finance 118 (September 2020): 105844. http://dx.doi.org/10.1016/j.jbankfin.2020.105844.

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29

Duranton, Gilles, und Henry G. Overman. „Testing for Localization Using Micro-Geographic Data“. Review of Economic Studies 72, Nr. 4 (Oktober 2005): 1077–106. http://dx.doi.org/10.1111/0034-6527.00362.

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30

De Silva, Dakshina G., Inkoo Lee und Soon-Cheul Lee. „Explaining time variation in geographic price dispersion“. Applied Economics 51, Nr. 42 (21.03.2019): 4629–41. http://dx.doi.org/10.1080/00036846.2019.1593941.

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31

FREITAS, GABRIEL VILELA RESENDE. „Narrative Economics and Behavioral Economics: contributions to the behavioral insights on post-Keynesian theory“. Brazilian Journal of Political Economy 41, Nr. 2 (April 2021): 372–84. http://dx.doi.org/10.1590/0101-31572021-3191.

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ABSTRACT The objective of this review is to discuss the formation of knowledge proposed by Keynes on his Treatise on Probability, and the economic agents’ behavior in an uncertainty scenario presented on his General Theory, by the Narrative Economics’ and Behavioral Economics perspectives. The hypothesis that will be analyzed is that in a keynesian uncertainty scenario, economic agents tend to act according to their context (social, geographic, historic, cultural) spreading narratives by which they identify themselves and orient decisions that cause sensible movements on the economic aggregates. Revisiting the literature, we could conclude that by bringing together the behavioral economy and the narrative economy theory, we could, from the Keynes’ insights on his writings, perceive strong empirical evidence that can be analytically important on the assessment of the economic fluctuations.

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32

Chu, Yongqiang, Saiying Deng und Cong Xia. „Bank Geographic Diversification and Systemic Risk“. Review of Financial Studies 33, Nr. 10 (24.12.2019): 4811–38. http://dx.doi.org/10.1093/rfs/hhz148.

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Abstract Exploiting staggered interstate banking deregulation as exogenous shocks to bank geographic expansion, we examine the causal effect of geographic diversification on systemic risk. Using the gravity-deregulation approach, we find that bank geographic diversification leads to higher systemic risk measured by the change in conditional value at risk ($\Delta$CoVaR) and financial integration (Logistic($R^{2}))$. Furthermore, we document that geographic diversification affects systemic risk via its impact on asset similarity. The impact of geographic diversification on systemic risk is stronger in BHCs located in states comoving less with the U.S. aggregate economy.

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33

Wallsten, Scott J. „An empirical test of geographic knowledge spillovers using geographic information systems and firm-level data“. Regional Science and Urban Economics 31, Nr. 5 (September 2001): 571–99. http://dx.doi.org/10.1016/s0166-0462(00)00074-0.

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34

Gong, Huiwen, und Robert Hassink. „Context sensitivity and economic-geographic (re)theorising“. Cambridge Journal of Regions, Economy and Society 13, Nr. 3 (15.09.2020): 475–90. http://dx.doi.org/10.1093/cjres/rsaa021.

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Abstract Drawing upon critical realism and the literature on theorising in social sciences, this article contributes to the understanding of theorising in economic geography by highlighting the role of context throughout the theory development process. By critically reviewing two key concepts in economic geography—related variety and knowledge bases—from a critical realist theory development perspective, scholars’ sensitivity to local context through the whole theorising process is examined. We argue that the particular strength of economic geography with regard to advancing theory lies in the continuous application of concepts and theories (that is, generalities) within new contexts (that is, confrontation with new particularities).

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35

Holmes, Thomas J., und John J. Stevens. „Geographic Concentration and Establishment Scale“. Review of Economics and Statistics 84, Nr. 4 (November 2002): 682–90. http://dx.doi.org/10.1162/003465302760556495.

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36

Klein, Chris, Edward J. Rifkin und Noel D. Uri. „A note on defining geographic markets“. Regional Science and Urban Economics 15, Nr. 1 (Februar 1985): 109–19. http://dx.doi.org/10.1016/0166-0462(85)90034-1.

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37

Hope, Ole-Kristian, Mark (Shuai) Ma und Wayne B. Thomas. „Tax avoidance and geographic earnings disclosure“. Journal of Accounting and Economics 56, Nr. 2-3 (November 2013): 170–89. http://dx.doi.org/10.1016/j.jacceco.2013.06.001.

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38

Raphael, Steven, und David A. Riker. „Geographic Mobility, Race, and Wage Differentials“. Journal of Urban Economics 45, Nr. 1 (Januar 1999): 17–46. http://dx.doi.org/10.1006/juec.1998.2081.

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39

Lloyd, Robert, Reginald G. Golledge und Robert J. Stimson. „Spatial Behavior: A Geographic Perspective“. Economic Geography 74, Nr. 1 (Januar 1998): 83. http://dx.doi.org/10.2307/144350.

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40

Utkin, V. P. „Problems and Approaches to the Development of Concepts of Innovative Cluster Associations“. Management of Economy: Theory and Practice. Chumachenko’s Annals, Nr. 2022 (20.12.2022): 137–47. http://dx.doi.org/10.37405/2221-1187.2022.137-147.

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This article discusses various aspects of cluster development in economics, including the historical, economic, geographic, social, political, ecological, educational, and innovation aspects. The term “cluster economy” appeared in scientific research in the 1990s, but the idea of developing entrepreneurship in cooperation with other enterprises working in the same industry has a long history. Cluster economics is a concept of economic development based on grouping enterprises that operate in the same or related industries into separate clusters to promote collaboration and increase production efficiency. The development of cluster economics depends largely on the geographical location of the enterprises and other cluster participants, as well as on the social structure and improvement of the living conditions of the people in the cluster. Political support can play a vital role in ensuring the stability and growth of such a business model. The development of cluster economics can have both positive and negative ecological impacts. The educational aspect of cluster development is essential because knowledge and innovation are key success factors in cluster economics. Successful clusters often rely on high-quality education, research, and development. The innovation aspect of cluster development highlights the potential for the emergence of new products, services, and technologies through the exchange of knowledge and ideas between companies with different specializations, which can be more efficient and innovative than those currently on the market.

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41

DUDNYK, Ivan, Oksana BORYSIUK und Viktor SAICHUK. „GEOGRAPHICAL INTERPRETATION OF THE TOURIST PROCESS“. Ekonomichna ta Sotsialna Geografiya, Nr. 89 (2023): 42–52. http://dx.doi.org/10.17721/2413-7154/2023.89.42-52.

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The most important tasks of geography in the context of shaping the theoretical foundations of tourism include the need to substantiate the essence of an integral epistemological object (tourist system) and identify the mechanisms of its functioning. The presence of tourist processes is the main essence of the actual existence of the tourist system. The objectively inherent conditions for the implementation of any process are as follows: the presence of an object or phenomenon, that is, the actual substance that changes or is in the process; presence of time changes; the presence of spatial connections and their geospatial localization; the geospatial and temporal orientation of object changes. The tourist system is considered as a generalized object, that is, a substance that changes or is in the process, and in the context of geographic methodology it is conceptualised as a tourist-geographic system. The mechanism of the functioning of the tourist system should be understood, first of all, as connections and relations within the system that are formed under the influence of a set of factors and subordinate to the general goal of the system. In order to clarify the essence and peculiarities of the tourist process, we substantiate the hypothesis of isomorphism of transport, transport-geographic and tourist processes, the common defining feature of which is mutual relations. Connections mean material, energy and informational exchange between geographical objects. Primarily territorial connections, namely those connections that are carried out by overcoming space, are considered. The common features of the given definitions are: first, the presence of a transportation operation in the each of them, the essence of which is the spatial (territorial) movement of people; second, both transport and tourist processes are sub-processes of the general socio-geographical process, and therefore they cause changes both in the socio-geographical system in general and in the touristic-geographical system in particular. The definition of the tourist-geographical process is proposed as a set of actions and operations that make possible geospatial connections between the elements of the tourist-geographical system. The constituent parts of this process should be considered primarily the transportation and transfer of tourists from one type of transport to another, which have a clearly defined spatial and territorial character and constitute the essence of tourism (territorial movements, travel).

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42

Hau, Harald. „Geographic patterns of trading profitability in Xetra“. European Economic Review 45, Nr. 4-6 (Mai 2001): 757–69. http://dx.doi.org/10.1016/s0014-2921(01)00122-2.

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43

Hirte, Georg, Christian Lessmann und André Seidel. „International trade, geographic heterogeneity and interregional inequality“. European Economic Review 127 (August 2020): 103427. http://dx.doi.org/10.1016/j.euroecorev.2020.103427.

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44

Platikanova, Petya, und Marco Maria Mattei. „Firm geographic dispersion and financial analysts’ forecasts“. Journal of Banking & Finance 64 (März 2016): 71–89. http://dx.doi.org/10.1016/j.jbankfin.2015.11.012.

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45

Zamore, Stephen, Leif Atle Beisland und Roy Mersland. „Geographic diversification and credit risk in microfinance“. Journal of Banking & Finance 109 (Dezember 2019): 105665. http://dx.doi.org/10.1016/j.jbankfin.2019.105665.

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46

Marston, Stephen T. „Two Views of the Geographic Distribution of Unemployment“. Quarterly Journal of Economics 100, Nr. 1 (Februar 1985): 57. http://dx.doi.org/10.2307/1885735.

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47

Liu, Qinghua, und C. Richard Shumway. „Geographic aggregation and induced innovation in American agriculture“. Applied Economics 38, Nr. 6 (10.04.2006): 671–82. http://dx.doi.org/10.1080/00036840500397457.

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Theil, Henri, und James L. Seale. „The geographic distribution of world income, 1950–1990“. De Economist 142, Nr. 4 (November 1994): 387–419. http://dx.doi.org/10.1007/bf01384464.

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A. Jolly, Nicholas. „Geographic Mobility and the Costs of Job Loss“. B.E. Journal of Economic Analysis & Policy 15, Nr. 4 (01.10.2015): 1793–829. http://dx.doi.org/10.1515/bejeap-2014-0131.

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Abstract This paper uses data from the 1968 through 1997 survey waves of the Panel Study of Income Dynamics to analyze how the long-term costs of job loss vary by a worker’s post-displacement migration status. Results from the analysis show that those individuals who move within the first 2 years after a job loss experience lower earnings losses, lower reductions in hours worked, and smaller increases in time unemployed when compared to a group of displaced workers who are not geographically mobile during the early years following this life event. Workers who move within the first 2 years after displacement face a lower probability of homeownership when compared to their non-mobile counterparts. However, this lower probability is short-lived.

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Sialm, Clemens, Zheng Sun und Lu Zheng. „Home Bias and Local Contagion: Evidence from Funds of Hedge Funds“. Review of Financial Studies 33, Nr. 10 (23.12.2019): 4771–810. http://dx.doi.org/10.1093/rfs/hhz138.

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Abstract Our paper analyzes the geographical preferences of hedge fund investors and the implication of these preferences for hedge fund performance. We find that funds of hedge funds overweigh their investments in hedge funds located in the same geographical areas and that funds with a stronger local bias exhibit superior performance. Local bias also gives rise to excess flow comovement and extreme return clustering within geographic areas. Overall, our results suggest that while funds of funds benefit from local advantages, their local bias also creates market segmentation that can destabilize the underlying hedge funds.

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