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Local economic structure, productivity growth, and industry life cycle: evidence from Indonesia

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A Correction to this article was published on 14 March 2018

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Abstract

This paper examines the effects of dynamic agglomeration economies on the productivity growth of the industries in Indonesia’s regions. The study introduces employment market potential into the city-industry growth estimation for controlling local size and preventing overestimation of the agglomeration effects. The results suggest that both specialization and diversity are important for city-industry growth and that some externalities are stronger in different time periods. The effects of specialization and diversity on medium-term growth (2000–2010) are stronger than on long-term growth (1990–2010), in addition to new positive effects of competition. A detailed analysis across industries reveals a strong relationship between local industrial structure and performance—productivity and employment growth—which is associated with industry maturity within its lifecycle stages.

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Change history

  • 14 March 2018

    Unfortunately, the following reference was not included in the original publication of the article.

Notes

  1. City size is classified into three categories: “small–medium” (population under 500,000), “large” (population between 500,000 and 1,000,000), and “metro-megapolitan” (population over 1,000,000).

  2. For instance, Rosenthal and Strange (2004) found that the impact of city size on productivity is between 3 and 8%.

  3. Data accessible at http://www.kemendagri.go.id/media/filemanager/2013/05/28/b/u/buku_induk_kode_data_dan_wilayah_2013.pdf.

  4. Stata command “levpet” created by Petrin et al. (2004) was used to estimate the plant-level production function.

References

  • Abdel-Rahman HM, Anas A (2004) Theories of systems of cities. Handb Reg Urban Econ 4:2293–2339

    Article  Google Scholar 

  • Almeida R (2007) Local economic structure and growth. Spat Econ Anal 2(1):65–90

    Article  Google Scholar 

  • Almeida R, Fernandes AM (2013) Explaining local manufacturing growth in Chile: the advantages of sectoral diversity. Appl Econ 45(16):2201–2213

    Article  Google Scholar 

  • Baum CF, Schaffer ME, Stillman S (2007) Enhanced routines for instrumental variables/GMM estimation and testing. Stata J 7:465–506

    Google Scholar 

  • Beaudry C, Schiffauerova A (2009) Who’s right, Marshall or Jacobs? The localization versus urbanization debate. Res Policy 38(2):318–337

    Article  Google Scholar 

  • Cingano F, Schivardi F (2004) Identifying the sources of local productivity growth. J Eur Econ Assoc 2(4):720–744

    Article  Google Scholar 

  • Combes P-P (2000) Economic structure and local growth: France, 1984–1993. J Urban Econ 47:329–355

    Article  Google Scholar 

  • Combes P-P, Magnac T, Robin J-M (2004) The dynamics of local employment in France. J Urban Econ 56:217–243

    Article  Google Scholar 

  • Combes P-P, Duranton G, Gobillon L, Roux S (2010) Estimating agglomeration economies with history, geology, and worker effects. Agglomeration economics. University of Chicago Press, Chicago, pp 15–66

    Chapter  Google Scholar 

  • De Groot HLF, Poot J, Smith MJ (2009) Agglomeration externalities, innovation and regional growth: theoretical perspectives and meta-analysis. In: Capello R, Nijkamp P (eds) Handbook of regional growth and development theories. Edwar Elgar, Cheltenham, UK, pp 256–281

    Google Scholar 

  • Dekle R (2002) Industrial concentration and regional growth: evidence from the prefectures. Rev Econ Stat 84(2):310–315

    Article  Google Scholar 

  • Duranton G, Puga D (2000) Diversity and specialisation in cities: why, where and when does it matter? Urban Stud 37(3):533–555

    Article  Google Scholar 

  • Duranton G, Puga D (2001) Nursery cities: urban diversity, process innovation, and the life cycle of products. Am Econ Rev 91(5):1454–1477

    Article  Google Scholar 

  • Duranton G, Puga D (2014) The growth of cities. In: Handbook of economic growth, vol 2, pp 781–853. http://dx.doi.org/10.1016/B978-0-444-53540-5.00005-7

  • Gill IS, Goh C-C (2010) Scale economies and cities. World Bank Res Obs 25:235–262

    Article  Google Scholar 

  • Glaeser EL, Kallal HD, Scheinkman JA, Shleifer A (1992) Growth in cities. J Polit Econ 100(6):1126–1152

    Article  Google Scholar 

  • Henderson J Vernon, Kuncoro A, Turner M (1995) Industrial development in cities. J Polit Econ 103(5):1067–1090

    Article  Google Scholar 

  • Henderson JV, Lee T, Lee YJ (2001) Scale externalities in Korea. J Urban Econ 49(3):479–504

    Article  Google Scholar 

  • Holl A (2012) Market potential and firm-level productivity in Spain. J Econ Geogr 12:1191–1215

    Article  Google Scholar 

  • Levinsohn J, Petrin A (2003) Estimating production functions using inputs to control for unobservables. Rev Econ Stud 70:317–341

    Article  Google Scholar 

  • Lucio D, Juan J, Herce JA, Goicolea A (2002) The effects of externalities on productivity growth in spanish industry. Reg Sci Urban Econ 32(2):241–258

    Article  Google Scholar 

  • Marrocu E, Paci R, Usai S (2013) Productivity growth in the old and new Europe: the role of agglomeration externalities. J Reg Sci 53:418–442

    Article  Google Scholar 

  • Melo PC, Graham DJ, Noland RB (2009) A meta-analysis of estimates of urban agglomeration economies. Reg Sci Urban Econ 39(3):332–342

    Article  Google Scholar 

  • Petrin A, Poi BP, Levinsohn J (2004) Production function estimation in stata using inputs to control for unobservables. Stata J 4:113–123

    Google Scholar 

  • Porter M (1990) The competitive advantage of nations. MacMillan, London

  • Rosenthal SS, Strange WC (2003) Geography, industrial organization, and agglomeration. Rev Econ Stat 85(2):377–393

    Article  Google Scholar 

  • Rosenthal SS, Strange WC (2004) Evidence on the nature and sources of agglomeration economies. In: Henderson JV, Thisse JF (eds) Handbook of regional and urban economics, vol 4. Elsevier, Amsterdam, pp 2119–2171

    Google Scholar 

  • Sjöholm F (1999) Productivity growth in indonesia: the role of regional characteristics and direct foreign investment. Econ Dev Cult Change 47(3):559–584

    Article  Google Scholar 

  • Stock JH, Yogo M (2005) Testing for weak instruments in linear IV regression. In: Andrews DWK, Stock JH (eds) Identification and inference in econometric models: essays in honor of Thomas J. Rothenberg. Cambridge University Press, Cambridge, pp 80–190

    Chapter  Google Scholar 

  • Widodo W, Salim R, Bloch H (2014) Agglomeration economies and productivity growth in manufacturing industry: empirical evidence from indonesia. Econ Record 90(s1):41–58

    Article  Google Scholar 

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Acknowledgement

I would like to thank to Muhammad Irfan Shaleh for sharing the GIS Euclidean-Distance and geological data.

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Correspondence to Khoirunurrofik.

Appendix

Appendix

See Tables 7, 8 and 9.

Table 7 Variable definitions and data sources
Table 8 First-stage regression
Table 9 City-industry productivity growth: robustness test

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Khoirunurrofik Local economic structure, productivity growth, and industry life cycle: evidence from Indonesia. Asia-Pac J Reg Sci 2, 453–475 (2018). https://doi.org/10.1007/s41685-018-0072-6

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