hu, zongyi and tang, liwei and su, jin (2013): 区域环境绩效测度及收敛性分析.
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Abstract
Combining the characteristics of GM direction distance function, non- radial DEA model and Luenberger productivity indicators, we develop a non-radial global DEA model to measure eco-performance of different regions. Using the data from 1995 to 2011 of 30 provinces, we have calculated the eco-performance and its decomposition index. The results showed that the level of eco-performance at annual growth rate of 1%, where the technical efficiency at annual decrease rate of 0.6% ,technological progress at an annual growth rate of 1.6%. in the Samples study period of eco-performance, technical efficiency and technological progress of the cumulative growth rate of 16.7%, -9.2% and 25.9% respectively. Regional eco-performance and its decomposition index showed a ladder-like distribution, in turn decreases from east to west; Convergence test results show that these is existing four convergence clubs of eco-performance and six divergent individuals. Areas with high eco-performance tend to be converged with higher eco-performance Areas; areas with low eco-performance seem tend to converged with lower eco-performance areas.
Item Type: | MPRA Paper |
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Original Title: | 区域环境绩效测度及收敛性分析 |
English Title: | Regional eco-performance measure and its convergence |
Language: | Chinese |
Keywords: | non-radial global DEA model; dynamic eco-performance; Luenberger productivity; direct distance function; convergence |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q0 - General > Q01 - Sustainable Development Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics |
Item ID: | 60367 |
Depositing User: | Liwei Tang |
Date Deposited: | 22 Dec 2014 03:21 |
Last Modified: | 14 Oct 2019 15:07 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/60367 |