Understanding productivity declines of resource accumulation in the prefectures of Japan

被引:2
作者
Eguchi S. [1 ]
机构
[1] Faculty of Economics, Kyushu University, 6-19-1 Hakozaki, Higashi-ku, Fukuoka
基金
日本学术振兴会;
关键词
Data envelopment analysis; Japanese prefectures; Productivity analysis; Resource accumulation;
D O I
10.1007/s10018-016-0160-7
中图分类号
学科分类号
摘要
This study employs a data envelopment analysis (DEA) framework using long-term panel data of the physical stocks of buildings and infrastructure (roadways and railways), labor force, and gross regional product of 46 Japanese prefectures during the period of 1970–2010. I analyzed the change in the efficiency of production resulting from the labor force and resource accumulation in Japan’s prefectures for the study period to evaluate how this efficiency has changed over the years. The results show that productivity increases in almost all of the prefectures between 1970 and 1990. On the other hand, between 1990 and 2010, productivity declined in approximately 80 % of Japan’s prefectures, including big prefectures, such as Tokyo and Osaka. I find that the productivity in some medium-ranking prefectures in terms of population continued to increase even after 1990 due to the fact that in such prefectures, there was catch-up to the efficient production frontier. © 2016, Society for Environmental Economics and Policy Studies and Springer Japan.
引用
收藏
页码:337 / 357
页数:20
相关论文
共 35 条
[1]  
Asmild M., Paradi C.J., Aggarwall V., Schaffnit C., Combining DEA window analysis with the Malmquist index approach in a study of the Canadian Banking Industry, J Prod Anal, 21, pp. 67-89, (2004)
[2]  
Banker D.R., Charnes A., Cooper W.W., Some models for estimating technical and scale inefficiencies in data envelopment analysis, Manag Sci, 30, pp. 1078-1092, (1984)
[3]  
Browne D., O'Regan B., Moles R., Assessment of total urban metabolism and metabolic inefficiency in an Irish city-region, Waste Manag, 29, 10, pp. 2365-2371, (2009)
[4]  
Cabinet Office, National Accounts of Japan
[5]  
Caves D.W., Christensen L.R., Diewert W.E., Multilateral comparisons of output, input, and productivity using superlative index numbers, Econ J, 92, 365, pp. 73-86, (1982)
[6]  
Cooper W.W., Seiford M.L., Zhu J., Handbook on data envelopment analysis, (2004)
[7]  
Cooper W.W., Seiford M.L., Tone K., Data envelopment analysis—a comprehensive text with models, applications, references and DEA-solver software, (2007)
[8]  
Ding T., Xiao J., Estimation of building-related construction and demolition waste in Shanghai, Waste Manag, 34, 11, pp. 2327-2334, (2014)
[9]  
Duchin F., Levine S.H., Embodied resource flows in a global economy, J Ind Ecol, 17, 1, pp. 65-78, (2013)
[10]  
Eguchi S., Kagawa S., Okamoto S., Environmental and economic performance of a biodiesel plant using waste cooking oil, J Clean Prod, 101, pp. 245-250, (2015)