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Journal articles on the topic 'Geographic economics'

Author: Grafiati

Published: 1 June 2024

Last updated: 31 July 2025

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1

Hong, Junjie. "Testing geographic and economic distance of agglomeration economies." Journal of Chinese Economic and Foreign Trade Studies 4, no. 1 (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, no. 2 (1989): 223–49. http://dx.doi.org/10.1177/030913258901300204.

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3

C. Koutsopoulos, Kostis. "The Symbiotic Role of GIS in Economics: The Spatial Economic Approach." International Journal of Economics, Business and Management Research 08, no. 09 (2024): 314–30. http://dx.doi.org/10.51505/ijebmr.2024.8919.

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The object of this paper is what is termed the spatial economic approach (SEA), which is considered to be based on the fundamental principle that economic systems they have never been developed, cannot exist and seldom are applied (e.g., administering businesses) independent of Geographic Space. As a result, the conjunction of data science and spatial data science represents the spatial economic approach, which however require techniques to achieve its goals. The most successful of the new techniques are the Geographic information Science software and tools that can be used to capture, store,

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4

Crane, Steven E., and Patrick J. Welch. "The problem of geographic market definition: Geographic proximity vs. economic significance." Atlantic Economic Journal 19, no. 2 (1991): 12–20. http://dx.doi.org/10.1007/bf02299069.

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5

Winters, John V., and Weineng Xu. "Geographic Differences in the Earnings of Economics Majors." Journal of Economic Education 45, no. 3 (2014): 262–76. http://dx.doi.org/10.1080/00220485.2014.917912.

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6

Peterson, Kenneth D. "Using a Geographic Information System to Teach Economics." Journal of Economic Education 31, no. 2 (2000): 169–78. http://dx.doi.org/10.1080/00220480009596773.

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7

Peterson, Kenneth D. "Using a Geographic Information System to Teach Economics." Journal of Economic Education 31, no. 2 (2000): 169. http://dx.doi.org/10.2307/1183188.

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8

Coen‐Pirani, Daniele. "GEOGRAPHIC MOBILITY AND REDISTRIBUTION." International Economic Review 62, no. 3 (2021): 921–52. http://dx.doi.org/10.1111/iere.12508.

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9

Uri, Noel D., John Howell, and Edward J. Rifkin. "On defining geographic markets." Applied Economics 17, no. 6 (1985): 959–77. http://dx.doi.org/10.1080/00036848500000061.

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10

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

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11

Palomino, Juan. "Development of Regional Economics Studies in Peru: Contributions and Criticisms." Economia 43, no. 86 (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 (e

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12

Kiptenko, V. "GLOBALIZATION: THE GEOGRAPHICAL NEXUS." Bulletin of Taras Shevchenko National University of Kyiv. Geography, no. 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 dictio

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13

Surico, Paolo. "Geographic Concentration and Increasing Returns." Journal of Economic Surveys 17, no. 5 (2003): 693–708. http://dx.doi.org/10.1046/j.1467-6419.2003.00210.x.

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14

Couillard, Benjamin K., Christopher L. Foote, Kavish Gandhi, Ellen Meara, and Jonathan Skinner. "Rising Geographic Disparities in US Mortality." Journal of Economic Perspectives 35, no. 4 (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.

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15

Andrle, Michal. "Principles of new economic geographic models." Politická ekonomie 53, no. 6 (2005): 765–80. http://dx.doi.org/10.18267/j.polek.536.

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16

Parsons, Christopher A., Riccardo Sabbatucci, and Sheridan Titman. "Geographic Lead-Lag Effects." Review of Financial Studies 33, no. 10 (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, an

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17

Clarke, Margaret Z. "Geographic Deregulation of Banking and Economic Growth." Journal of Money, Credit, and Banking 36, no. 5 (2004): 929–42. http://dx.doi.org/10.1353/mcb.2004.0072.

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18

Dumas, Bernard, Tymur Gabuniya, and 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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19

Johar, Meliyanni, Elizabeth Savage, Olena Stavrunova, Glenn Jones, and Michael Keane. "Geographic Differences in Hospital Waiting Times." Economic Record 88, no. 281 (2012): 165–81. http://dx.doi.org/10.1111/j.1475-4932.2011.00785.x.

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20

Keller, Wolfgang. "Geographic Localization of International Technology Diffusion." American Economic Review 92, no. 1 (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. M

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21

Eckert, Heather, and Andrew Eckert. "The geographic distribution of environmental inspections." Journal of Regulatory Economics 37, no. 1 (2009): 1–22. http://dx.doi.org/10.1007/s11149-009-9101-8.

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22

Yu, Xinchen, Jeremy Boy, Rene Clausen Nielsen, and Lingzi Hong. "Linguistic Characteristics of Social Media Messages Spreading across Geographic and Linguistic Boundaries." European Conference on Social Media 9, no. 1 (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, popul

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23

SUTTHIPHISAL, DHANOOS. "The Geography of Invention in High- and Low-Technology Industries: Evidence from the Second Industrial Revolution." Journal of Economic History 66, no. 2 (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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24

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, no. 2010-29 (2010): 1. http://dx.doi.org/10.5018/economics-ejournal.ja.2010-29.

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25

LEE, CHULHEE. "Health, Information, and Migration: Geographic Mobility of Union Army Veterans, 1860–1880." Journal of Economic History 68, no. 3 (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 o

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26

Blier-Wong, Christopher, Hélène Cossette, Luc Lamontagne, and Etienne Marceau. "GEOGRAPHIC RATEMAKING WITH SPATIAL EMBEDDINGS." ASTIN Bulletin 52, no. 1 (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

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27

Toma, Michael, and Richard J. Cebula. "Geographic living-cost determinants: 1995." Atlantic Economic Journal 28, no. 3 (2000): 380. http://dx.doi.org/10.1007/bf02298331.

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28

Chu, Yongqiang, Saiying Deng, and Cong Xia. "Bank Geographic Diversification and Systemic Risk." Review of Financial Studies 33, no. 10 (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 stro

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29

Proctor, Adrian J. "Identifying Geographic or Customer-Based Collusion." World Competition 38, Issue 2 (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 discuss

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30

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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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, no. 2 (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 aggregate

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32

Duranton, Gilles, and Henry G. Overman. "Testing for Localization Using Micro-Geographic Data." Review of Economic Studies 72, no. 4 (2005): 1077–106. http://dx.doi.org/10.1111/0034-6527.00362.

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33

De Silva, Dakshina G., Inkoo Lee, and Soon-Cheul Lee. "Explaining time variation in geographic price dispersion." Applied Economics 51, no. 42 (2019): 4629–41. http://dx.doi.org/10.1080/00036846.2019.1593941.

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34

Wallsten, Scott J. "An empirical test of geographic knowledge spillovers using geographic information systems and firm-level data." Regional Science and Urban Economics 31, no. 5 (2001): 571–99. http://dx.doi.org/10.1016/s0166-0462(00)00074-0.

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35

Holmes, Thomas J., and John J. Stevens. "Geographic Concentration and Establishment Scale." Review of Economics and Statistics 84, no. 4 (2002): 682–90. http://dx.doi.org/10.1162/003465302760556495.

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36

Gong, Huiwen, and Robert Hassink. "Context sensitivity and economic-geographic (re)theorising." Cambridge Journal of Regions, Economy and Society 13, no. 3 (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

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37

Utkin, V. P. "Problems and Approaches to the Development of Concepts of Innovative Cluster Associations." Management of Economy: Theory and Practice. Chumachenko’s Annals, no. 2022 (December 20, 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

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38

Klein, Chris, Edward J. Rifkin, and Noel D. Uri. "A note on defining geographic markets." Regional Science and Urban Economics 15, no. 1 (1985): 109–19. http://dx.doi.org/10.1016/0166-0462(85)90034-1.

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39

Hope, Ole-Kristian, Mark (Shuai) Ma, and Wayne B. Thomas. "Tax avoidance and geographic earnings disclosure." Journal of Accounting and Economics 56, no. 2-3 (2013): 170–89. http://dx.doi.org/10.1016/j.jacceco.2013.06.001.

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40

Raphael, Steven, and David A. Riker. "Geographic Mobility, Race, and Wage Differentials." Journal of Urban Economics 45, no. 1 (1999): 17–46. http://dx.doi.org/10.1006/juec.1998.2081.

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41

DUDNYK, Ivan, Oksana BORYSIUK, and Viktor SAICHUK. "GEOGRAPHICAL INTERPRETATION OF THE TOURIST PROCESS." Ekonomichna ta Sotsialna Geografiya, no. 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 co

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42

Lloyd, Robert, Reginald G. Golledge, and Robert J. Stimson. "Spatial Behavior: A Geographic Perspective." Economic Geography 74, no. 1 (1998): 83. http://dx.doi.org/10.2307/144350.

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43

Hau, Harald. "Geographic patterns of trading profitability in Xetra." European Economic Review 45, no. 4-6 (2001): 757–69. http://dx.doi.org/10.1016/s0014-2921(01)00122-2.

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44

Hirte, Georg, Christian Lessmann, and 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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45

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

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46

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

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47

Sialm, Clemens, Zheng Sun, and Lu Zheng. "Home Bias and Local Contagion: Evidence from Funds of Hedge Funds." Review of Financial Studies 33, no. 10 (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 destabili

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48

Marston, Stephen T. "Two Views of the Geographic Distribution of Unemployment." Quarterly Journal of Economics 100, no. 1 (1985): 57. http://dx.doi.org/10.2307/1885735.

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49

Liu, Qinghua, and C. Richard Shumway. "Geographic aggregation and induced innovation in American agriculture." Applied Economics 38, no. 6 (2006): 671–82. http://dx.doi.org/10.1080/00036840500397457.

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50

Theil, Henri, and James L. Seale. "The geographic distribution of world income, 1950–1990." De Economist 142, no. 4 (1994): 387–419. http://dx.doi.org/10.1007/bf01384464.

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