Received: 2022-03-24  |  Accepted: 2022-08-09  |  Published: 2022-09-30

Title

Agglomeration decay in rural areas


Abstract

Spatial proximity to other economic activities – occasionally labeled as 'market access' and 'economic density' – is associated with good economic performance. How the impulses from economic activities diminish over space is known as 'agglomeration decay' or 'distance decay'. Although market access functions and the associated agglomeration decay constitute an important topic within spatial economic research, the phenomenon is seldom studies in a rural setting or addressed by non-linear estimation techniques. In this paper, we estimate the market access function in the relatively rural regions of Southern parts of Norway. We approximate market access in the national road network by alternative market access functions with power and exponential distance decay, applying ordinary non-linear least squares (NLS) and non-linear mixed effects (NLME). We apply labor productivity as the outcome variable, employment and population as alternative measures for potential market connections and traveling time as distance measure. In the regression, we control for capital intensity, industry structure and annual growth trend, as well as mixed effect in case of the NLME model. Compared to previous findings in the literature, we find evidence of relative sharp agglomeration decay in a rural setting, involving power and exponential distance decay parameters of about 2.3 and 0.07 respectively. Comparisons of the log likelihood from the estimation of market access functions suggest that exponential distance decay involve a slightly better fit than power distance decay. In addition, employment involves slightly more explanatory power than population as a measure for potential market connections.


Keywords

Urban economics, rural economics, productivity, wider economic impacts, market access, road constructions, agglomeration decay, distance decay


JEL classifications

D24 , F15 , O18 , R11 , R12 , R42


URI

http://jssidoi.org/ird/article/111


DOI


HAL


Pages

139-155


Funding

The paper was funded by the Research Council of Norway, partially through the program, the 'Industrial PhD-Program', and partially through the research project 'Impact' on wider economic impacts.

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Holmen, Rasmus Bøgh
Institute of Transport Economics, Oslo, Norway https://www.toi.no
Articles by this author in: CrossRef |  Google Scholar

Journal title

Insights into Regional Development

Volume

4


Number

3


Issue date

September 2022


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 1335  |  PDF downloads: 448

References


Behrens, K., Duranton, G., & Robert-Nicoud, F. 2014. Productive Cities: Sorting, Selection and Agglomeration. Journal of Political Economy, 122(3), 507-553. https://doi.org/10.1086/675534

Search via ReFindit


Blomgren, A., Quale, C., Austnes-Underhaug, R., Harstad, A. M., Fjose, S., Wifstad, K., Mellbye, C., Amble, I. B., Nyvold, C. E., Steffensen, T., Viggen, J. R., Inglebæk, F., Arnesen, T., & Hagen, S. E. 2015. A survey of employees in Norwegian petroleum-related businesses, with a particular focus on supplier firms' employees related to exports (in Norwegian), ordered by The Norwegian Oil and Gas Association, report IRIS 2015/031. URL: https://norceresearch.brage.unit.no/norceresearch-xmlui/handle/11250/2631778

Search via ReFindit


Christensen, L. R., & Jorgenson, D. W. 1969. The measurement of US real capital input, 1929–1967. Review of Income and Wealth, 15(4), 293-320. https://doi.org/10.1111/j.1475-4991.1969.tb00814.x

Search via ReFindit


Davidian, M., & Giltinan, D. M. 2003. Nonlinear models for repeated measurement data: An overview and update. Journal of Agricultural, Biological, and Environmental Statistics, 8(4), 387. https://doi.org/10.1198/1085711032697

Search via ReFindit


Davis, M. A., Fisher, J. D., & Whited, T. M. 2014. Macroeconomic implications of agglomeration. Econometrica, 82(2), 731-764. https://doi.org/10.3982/ECTA9029

Search via ReFindit


Dicken, P., & Lloyd, P. E. 1990. Location in space: Theoretical perspectives in economic geography. Prentice Hall. https://www.amazon.com/Location-Space-Theoretical-Perspectives-Geography/dp/0060416777

Search via ReFindit


Dijkstra, E. W. 1959. A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269-271. https://doi.org/10.1007/BF01386390

Search via ReFindit


Donaldson, D., & Hornbeck, R. 2016. Railroads and American economic growth: A ‘market access' approach. The Quarterly Journal of Economics, 131(2), 799-858. https://doi.org/10.1093/qje/qjw002

Search via ReFindit


Duranton, G., & Overman, H. G. 2005. Testing for localization using micro-geographic data. The Review of Economic Studies, 72(4), 1077-1106. https://doi.org/10.1111/0034-6527.00362

Search via ReFindit


Duranton, G., & Puga, D. 2004. Micro-foundations of urban agglomeration economies. Handbook of Regional and Urban Economics, 4, 2063-2117. 80005-1 https://doi.org/10.1016/S1574-0080(04)

Search via ReFindit


Duranton, G., Morrow, P. M., & Turner, M. A. 2014. Roads and Trade: Evidence from the US. The Review of Economic Studies, 81(2), 681-724. https://doi.org/10.1093/restud/rdt039

Search via ReFindit


El-Geneidy, A. M., & Levinson, D. M. 2006. Access to destinations: Development of accessibility measures. URL: https://conservancy.umn.edu/handle/11299/638

Search via ReFindit


Fujita M., Krugman P., & Venables, A. J. 1999. The spatial economy: Cities, regions and international trade, MIT Press, Cambridge MA. https://doi.org/10.7551/mitpress/6389.001.0001

Search via ReFindit


Fujita, M. 1988. A monopolistic competition model of spatial agglomeration: Differentiated product approach. Regional Science and Urban Economics, 18(1), 87-124. https://doi.org/10.1016/0166-0462(88)90007-5

Search via ReFindit


Gibbons, S., Lyytikäinen, T., Overman, H. G., & Sanchis-Guarner, R. 2019. New road infrastructure: The effects on firms. Journal of Urban Economics, 110, 35-50. https://doi.org/10.1016/j.jue.2019.01.002

Search via ReFindit


Graham, D. J. 2007. Agglomeration, productivity and transport investment. Journal of transport economics and policy, 41(3), 317-343. URL: https://www.ingentaconnect.com/content/lse/jtep/2007/00000041/00000003/art00003

Search via ReFindit


Graham, D. J., & Gibbons, S. 2019. Quantifying Wider Economic Impacts of Agglomeration for Transport Appraisal: Existing Evidence and Future Directions. Economics of Transportation, 19, 100121. https://doi.org/10.1016/j.ecotra.2019.100121

Search via ReFindit


Graham, D. J., Gibbons, S., & Martin, R. 2010. The spatial decay of agglomeration economies: Estimates for use in transport appraisal. Department for Transport. URL: http://eprints.lse.ac.uk/id/eprint/44666

Search via ReFindit


Graham, D. J., Melo, P. S., Jiwattanakulpaisarn, P., & Noland, R. B. 2010. Testing for causality between productivity and agglomeration economies. Journal of Regional Science, 50(5), 935-951. https://doi.org/10.1111/j.1467-9787.2010.00676.x

Search via ReFindit


Griliches, Z., & Jorgenson, D. W. 1966. Sources of measured productivity change: Capital input. The American Economic Review, 56(1/2), 50-61. URL: https://www.jstor.org/stable/1821267

Search via ReFindit


Grünfeld, L. A., Holmen, R. B., Gulbrandsen, M. U., & Wifstad, K. 2013. Competitiveness and wage growth: Some updated indicators and perspectives (in Norwegian), topical comment, Samfunnsøkonomen No. 2014/9. URL: https://docplayer.me/462808-Samfunnsokonomen-nr-1-2014-128-argang-holden-grunfeld-mfl-bjerkholt-hauge-hawkins.html

Search via ReFindit


Handy, S. L., & Niemeier, D. A. 1997. Measuring accessibility: an exploration of issues and alternatives. Environment and planning A, 29(7), 1175-1194. https://doi.org/10.1068/a291175

Search via ReFindit


Hansen, W. G. 1959. How accessibility shapes land use. Journal of the American Institute of Planners, 25(2), 73-76. https://doi.org/10.1080/01944365908978307

Search via ReFindit


Hanson, G. H. (2005). Market potential, increasing returns and geographic concentration. Journal of International Economics, 67(1), 1-24. https://doi.org/10.1016/j.jinteco.2004.09.008

Search via ReFindit


Harris, C. D. 1954. The Market as a Factor in the Localization of Industry in the United States. Annals of the Association of American Geographers, 44(4), 315-348. https://doi.org/10.1080/00045605409352140

Search via ReFindit


Holmen, R. B. (2022b). Productivity impulses from regional integration: lessons from road openings. Insights into Regional Development, 4(4), 83–125. https://doi.org/10.9770/ird.2022.4.4(6)

Search via ReFindit


Holmen, R. B. & Hansen, W. 2020. The Scientific Foundation for Impacts Estimation in Transportation Appraisal: A Literature Review. Chapter 2 in Productivity and Mobility in Holmen, R. B. (2020). A dissertation submitted to BI Norwegian Business School for the degree of PhD. PhD specialization: Economics. Series of Dissertations 7/2020. Contact information for access: rbh@toi.no

Search via ReFindit


Holmen, R. B. 2020. Heterogeneity in Fixed Capital Estimation: Implications for Productivity Estimation. Chapter 4 in Productivity and Mobility in Holmen, R. B. (2020). A dissertation submitted to BI Norwegian Business School for the degree of PhD. PhD specialization: Economics. Series of Dissertations 7/2020. Contact information for access: rbh@toi.no

Search via ReFindit


Holmen, R. B. 2022a. Fixed Capital Estimation: Utilization of Macro Data to Account for Capital Heterogeneity at Firm Level. Beta Scandinavian Journal of Business Research. Forthcoming. URL: https://www.idunn.no/journal/beta

Search via ReFindit


Jorgenson, D. W., & Griliches, Z. 1967. The explanation of productivity change. The Review of Economic Studies, 34(3), 249-283. https://doi.org/10.2307/2296675

Search via ReFindit


Marshall, A. 1890. Principles of economics, revised 1920. London: Mac-Millan. https://www.amazon.com/Principles-Economics-Great-Alfred-Marshall/dp/1573921408

Search via ReFindit


McCann, P. 2005. Transport costs and new economic geography. Journal of Economic Geography, 5(3), 305-318. https://doi.org/10.1093/jnlecg/lbh050

Search via ReFindit


Melitz, M. J., & Ottaviano, G. I. 2008. Market size, trade, and productivity. The Review of Economic Studies, 75(1), 295-316. https://doi.org/10.1111/j.1467-937X.2008.00505.x

Search via ReFindit


Melo, P. C., Graham, D. J., & Brage-Ardao, R. 2013. The productivity of transport infrastructure investment: A meta-analysis of empirical evidence. Regional Science and Urban Economics, 43(5), 695-706. https://doi.org/10.1016/j.regsciurbeco.2013.05.002

Search via ReFindit


Melo, P. C., Graham, D. J., & Noland, R. B. 2009. A meta-analysis of estimates of urban agglomeration economies. Regional Science and Urban Economics, 39(3), 332-342. https://doi.org/10.1016/j.regsciurbeco.2008.12.002

Search via ReFindit


Redding, S. J. 2010. The empirics of new economic geography. Journal of Regional Science, 50(1), 297-311. https://doi.org/10.1111/j.1467-9787.2009.00646.x

Search via ReFindit


Redding, S. J., & Rossi-Hansberg, E. (2017). Quantitative spatial economics. Annual Review of Economics, 9, 21-58. https://doi.org/10.1146/annurev-economics-063016-103713

Search via ReFindit


Redding, S., & Venables, A. (2004). Geography and export performance: external market access and internal supply capacity. In Challenges to globalization: Analyzing the economics (pp. 95-130). University of Chicago Press. URL: https://www.nber.org/system/files/chapters/c9535/c9535.pdf

Search via ReFindit


Rice, P., Venables, A. J., & Patacchini, E. 2006. Spatial determinants of productivity: analysis for the regions of Great Britain. Regional Science and Urban Economics, 36(6), 727-752. https://doi.org/10.1016/j.regsciurbeco.2006.03.006

Search via ReFindit


Rigby, D. L., & Brown, W. M. (2015). Who benefits from agglomeration?. Regional Studies, 49(1), 28-43. https://doi.org/10.1080/00343404.2012.753141

Search via ReFindit


Rosenthal, S. S., & Strange, W. C. 2003. Geography, industrial organization, and agglomeration. Review of Economics and Statistics, 85(2), 377-393. https://doi.org/10.1162/003465303765299882

Search via ReFindit


Rosenthal, S. S., & Strange, W. C. 2004. Evidence on the nature and sources of agglomeration economies. Handbook of Regional and Urban Economics, 4, 2119-2171. 80006-3 https://doi.org/10.1016/S1574-0080(04)

Search via ReFindit


Sevtsuk, A., & Mekonnen, M. 2012. Urban network analysis. Revue internationale de géomatique–n, p. 287-305. https://doi.org/10.3166/rig.22.287-305

Search via ReFindit


Shirley, C., & Winston, C. 2004. Firm inventory behavior and the returns from highway infrastructure investments. Journal of Urban Economics, 55(2), 398-415. https://doi.org/10.1016/j.jue.2003.11.001

Search via ReFindit


Venables, A. J. 2007. Evaluating Urban Transport Improvements: Cost-Benefit Analysis in the Presence of Agglomeration and Income Taxation. Journal of Transport Economics and Policy, 41, 173-188. URL: https://www.ingentaconnect.com/content/lse/jtep/2007/00000041/00000002/art00002

Search via ReFindit


Vickerman, R., Spiekermann, K., & Wegener, M. 1999. Accessibility and economic development in Europe. Regional Studies, 33(1), 1-15. https://doi.org/10.1080/00343409950118878

Search via ReFindit


Waddell, P., & Ulfarsson, G. F. (2003). Accessibility and agglomeration: Discrete-choice models of employment location by industry sector. In 82nd annual meeting of the Transportation Research Board, Washington, DC (Vol. 63) URL: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.202.5658&rep=rep1&type=pdf

Search via ReFindit