Journal of Shanghai University >
Spatial-temporal sisparities of investment efficiency in the Yangtze River Economic Belt under environmental restrictions
Received date: 2016-06-29
Online published: 2018-06-28
This paper establishes an accounting model of investment efficiency in the Yangtze River Economic Belt under environmental restrictions based on the sequential Malmquist-Luenberger (SML) index. From the spatial perspective, large discrepancies exist among cities in investment efficiency with technological progresses as the main source of growth. Investment efficiency of each urban agglomeration trends to rise gradually from the upper reach to the lower reach of the Yangtze. The urban agglomeration in the Yangtze Delta is significantly higher than other four agglomerations in investment efficiency, but changes in efficiency are not as ideal as that in the urban agglomerations of Chengyu area and the middle reaches of the Yangtze. Chronologically, investment efficiency of the Yangtze River Economic Belt is growing. However, the main reason of the increase is the technological advances rather than the efficiency improvement. The result of this study indicates that China's environment policies have made positive effects on the improvement of environmental problems and the change of mode of production.
WANG Linyu, YU Liying . Spatial-temporal sisparities of investment efficiency in the Yangtze River Economic Belt under environmental restrictions[J]. Journal of Shanghai University, 2018 , 24(3) : 486 -494 . DOI: 10.12066/j.issn.1007-2861.1835
| [1] | Chung Y, F?re R, Grosskopf S. Productivity and undesirable outputs: a directional distance function approach[J]. Journal of Environmental Management, 1997,51(3):229-240. |
| [2] | 田银华, 贺胜兵, 胡石其. 环境约束下地区全要素生产率增长的再估算: 1998-2008[J]. 中国工业经济, 2011(1):47-57. |
| [3] | 李静, 陈武. 中国工业的环境绩效与治理投资的规模报酬研究[J]. 华东经济管理, 2013(3):44-50. |
| [4] | 张建升. 环境约束下长江流域主要城市全要素生产率研究[J]. 华东经济管理, 2014(12):59-63. |
| [5] | F?re R, Grosskopf S, Pasurka C A. Environmental production functions and environmental directional distance functions[J]. Energy, 2007,32(7):1055-1066. |
| [6] | Kumar S. Environmentally sensitive productivity growth: a global analysis using Malmquist--Luenberger index[J]. Ecological Economics, 2006,56(2):280-293. |
| [7] | Oh D, Heshmati A. A sequential Malmquist-Luenberger productivity index: environmentally sensitive productivity growth considering the progressive nature of technology[J]. Energy Economics, 2010,32(6):1345-1355. |
| [8] | Shepherd R W. Multilateral productivity comparisons with undesirable outputs[J]. Economic Journal, 1970,93:883-891. |
| [9] | 张军, 吴桂英, 张吉鹏 . 中国省际物质资本存量估算: 1952-2000[J]. 经济研究, 2004(10):35-44. |
| [10] | Kaneko S, Managi S. Environmental productivity in China[J]. Economics Bulletin, 2004,17(2):1-10. |
| [11] | Managi S, Kaneko S. Economic growth and the environment in China: an empirical analysis of productivity[J]. International Journal of Global Environmental Issues, 2006,6(1):89-133. |
| [12] | Watanabe M, Tanaka K. Efficiency analysis of Chinese industry: a directional distance function approach[J]. Energy Policy, 2007,35(12):6323-6331. |
| [13] | 涂正革. 环境, 资源与工业增长的协调性[J]. 经济研究, 2008(3):93-105. |
| [14] | 李红清. 长江流域自然保护区建设现状与生态保护[J]. 长江流域资源与环境, 2011,20(2):150-155. |
/
| 〈 |
|
〉 |