Regional Policy and the Productive Efficiency of Japanese Industries

REFERENCES

• Aigner D. J., Lovell C. A. K. and Schmidt P. (1977) Formulation and estimation of stochastic frontier production function model, Journal of Econometrics 6(1), 21–37. doi: 10.1016/0304-4076(77)90052-5
   Google Scholar
• Banker R. D., Charnes A. and Cooper W. W. (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science 30, 1078–1092. doi: 10.1287/mnsc.30.9.1078
   Web of Science ®Google Scholar
• Battese G. E. and Coelli T. J. (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data, Empirical Economics 20(2), 325–332. doi: 10.1007/BF01205442
   Google Scholar
• Battese G. E. and Corra G. S. (1977) Estimation of a production frontier model: with application to the pastoral zone of eastern Australia, Australian Journal of Agricultural Economics 21(3), 169–179. doi: 10.1111/j.1467-8489.1977.tb00204.x
   Web of Science ®Google Scholar
• Beeson P. E. and Husted S. (1989) Patterns and determinants of productive efficiency in the state manufacturing, Journal of Regional Science 29(1), 15–28. doi: 10.1111/j.1467-9787.1989.tb01219.x
   Web of Science ®Google Scholar
• Cameron A. C. and Trivedi P. K. (2005) Microeconometrics: Methods and Applications. Cambridge University Press, New York, NY.
   Google Scholar
• Capello R. and Nijkamp P. (2009) Handbook of Regional Growth and Development Theories. Edward Elgar, Cheltenham.
   Google Scholar
• Charnes A., Cooper W. W. and Sueyoshi T. (1988) A goal programming/constrained regression: review of the Bell System breakup, Management Science 34, 1–26. doi: 10.1287/mnsc.34.1.1
   Web of Science ®Google Scholar
• Driffield N. and Munday M. (2001) Foreign manufacturing, regional agglomeration and technical efficiency in UK industries: a stochastic production frontier approach, Regional Studies 35(5), 391–399.
   Google Scholar
• Ellison G. and Glaeser E. L. (1997) Geographic concentration in US manufacturing industries: a dartboard approach, Journal of Political Economy 105, 889–927. doi: 10.1086/262098
   Web of Science ®Google Scholar
• Emrouznejad A., Parker B. R. and Tavares G. (2008) Evaluation of research in efficiency and productivity: a survey and analysis of the first 30 years of scholarly literature in DEA, Socio-Economic Planning Sciences 42, 151–157. doi: 10.1016/j.seps.2007.07.002
   Google Scholar
• Fujita M., Krugman P. and Venables A. (1999) The Spatial Economy: Cities, Regions, and International Trade. MIT Press, Cambridge, MA.
   Google Scholar
• Fujita M. and Thisse J. (2002) Economics of Agglomeration. Cambridge University Press, Cambridge.
   Google Scholar
• Glover F. and Sueyoshi T. (2009) Contributions of Professor William W. Cooper in operations research and management science, European Journal of Operational Research 197, 1–16. doi: 10.1016/j.ejor.2008.08.011
   Web of Science ®Google Scholar
• Kumbhakar S. C. and Lovell C. A. K (2000) Stochastic Frontier Analysis. Cambridge University Press, Cambridge.
   Google Scholar
• Meeusen W. and van den Broeck J. (1977) Efficient estimation from Cobb–Douglas production functions with composed error, International Economic Review 18(2), 435–44. doi: 10.2307/2525757
   Web of Science ®Google Scholar
• Mitra A. (1999) Agglomeration economies as manifested in technical efficiency at the firm level, Journal of Urban Economics 45(3), 490–500. doi: 10.1006/juec.1998.2100
   Web of Science ®Google Scholar
• Mitra A. and Sato H. (2007) Agglomeration economies in Japan: technical efficiency, growth and unemployment, Review of Urban and Regional Development Studies 19(3), 197–209. doi: 10.1111/j.1467-940X.2007.00136.x
   Google Scholar
• Montolio D. and Solé-Ollé A. (2009) Road investment and regional productivity growth: the effects of vehicle intensity and congestion, Papers in Regional Science 88(1), 99–118. doi: 10.1111/j.1435-5957.2008.00167.x
   Web of Science ®Google Scholar
• Otsuka A. and Goto M. (2011) The Effects of Agglomeration Economies on Productive Efficency in Japanese Regional Industries. CRIEPI. Research Report Number Y11004. [in Japanese]
   Google Scholar
• Otsuka A., Goto M. and Sueyoshi T. (2010) Industrial agglomeration effects in Japan: productive efficiency, market access, and public fiscal transfer, Papers in Regional Science 89(4), 819–840. doi: 10.1111/j.1435-5957.2010.00286.x
   Web of Science ®Google Scholar
• Parr J. B., Hewings G. J. D., Sohn J. and Nazara S. (2002) Agglomeration and trade: some additional perspectives, Regional Studies 36(6), 675–684. doi: 10.1080/00343400220146803
   Web of Science ®Google Scholar
• Scott A. J. and Storper M. (2003) Regions, globalization, development, Regional Studies 37(6–7), 579–593. doi: 10.1080/0034340032000108697a
   Web of Science ®Google Scholar
• Simar L. and Wilson P. (1998) Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models, Management Science 44, 49–61. doi: 10.1287/mnsc.44.1.49
   Web of Science ®Google Scholar
• Sueyoshi T. (1996) Divestiture of Nippon Telegraph & Telephone, Management Science 42, 1326–1351. doi: 10.1287/mnsc.42.9.1326
   Web of Science ®Google Scholar
• Tobin J. (1958) Estimation of relationships for limited dependent variables, Econometrica 26(1), 24–36. doi: 10.2307/1907382
   Web of Science ®Google Scholar
• Tveteras R. and Battese G. E. (2006) Agglomeration externalities, productivity, and technical inefficiency, Journal of Regional Science 46(4), 605–625. doi: 10.1111/j.1467-9787.2006.00470.x
   Web of Science ®Google Scholar
• Yamamura E. and Shin I. (2007) Dynamics of agglomeration economies and regional industrial structure: the case of the assembly industry of the Greater Tokyo Region, 1960–2000, Structural Change and Economic Dynamics 18(4), 483–499. doi: 10.1016/j.strueco.2007.04.001
   Google Scholar