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A nonseparable undesirable output modified three-stage data envelopment analysis application for evaluation of
Shuai Liu1, Pengfei Lei2, Xing Li3
1National Academy of Economic Strategy, Chinese Academy of Social Sciences, Beijing 100006, China.
Abstract:
Agricultural sector is the basic industry providing food for human and supporting the development of national economy. The agricultural green total factor productivity (AGTFP) plays a significant role in coordinating agriculture sustainable development and pollution abatement. We employ a nonseparable undesirable output modified three-stage data envelopment analysis to evaluate the AGTFP of China's 30 provinces from 2000- 2018. We construct a more comprehensive AGTFP measurement indicator system, including seven separable inputs and three non-separable inputs and one separable good output and two non-separable bad outputs. The empirical results demonstrate that it is necessary to run a stochastic frontier analysis to eliminate the influence of random error and external environment. We get a more scientific and accurate results. The real AGTFP experiences an increase trend during the sample. From the spatial perspective, there is an obvious regional difference across the country. Efficiency decomposition indicates that the source of inefficiency is mainly from two undesirable outputs. Therefore, policy implications are put forward.
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