Determination of environmental effects on production efficiency of agricultural demonstration zones

Abstract

The present study aimed to solve the problems that the production efficiency of national modern development area, and the influence of environment effect on agricultural production efficiency. Based on the input-output data of 51 modern agricultural demonstration zones in Shandong Province in 2015, a three-stage DEA model was used for study. In the first stage, the traditional efficiencies were calculated depended on the original inputs and outputs, and input slacks were evaluated. In the second stage, the impacts of external environment and statistic noise were removed by SFA model, and inputs were adjusted. At last, the third stage efficiencies were calculated depended on the result of SFA model. The results show that under the influence of environment effect and random error factors, the agricultural production efficiency measured before and after the adjustment of input factors had changed obviously. Farmers' income level, urbanization level, financial support level and rural informatization level have significant influence on the input factor redundancy. Compared with the results of the first and third stage DEA model, the average technical efficiency of demonstration zone increased from 0.79 to 0. 83, the average pure technical efficiency increased from 0.90 to 0.91, and the average SE increased from 0.88 to 0.90. According to the best conditions to improve the efficiency of agricultural production, the demonstration zones should combine their own characteristics and policy-driven force, make rational allocation of agricultural production factors, improve the level of agricultural technology, promote the reform of production methods, and optimize the development environment. Agricultural production efficiency, Environment effect, Modern agricultural demonstration zone, Three-stage DEA Determination of environmental effects on production efficiency of agricultural demonstration zones

Impact of demonstration zone policy on agricultural science and technology innovation: evidence from China

“…The results show that (1) the National Modern Agricultural Demonstration Zone can enhance agricultural science and technology innovation, and the results remain robust after a series of robustness tests. The findings of this paper are consistent with those of Wu et al (2019), both of which concluded that agricultural demonstration zones can play a policy-driven role in rationalizing the allocation of agricultural production factors and improving agricultural technology. (2) The National Modern Agricultural Demonstration Zone can enhance regional financial capital allocation, financial support for agriculture, and human capital stock, which are the necessary elements for agricultural science and technology innovation, due to policy and financial support.…”

“…First, the research object is more precise and valuable. Most of the National Modern Agricultural Demonstration Zone pilots are concentrated at the district and regional levels, and the data used do not provide an accurate picture of the policy effects of the demonstration area (Wu et al, 2019). This paper matches the district, region, and prefecture-level cities targeted by the National Modern Agricultural Demonstration Zone, and the data cover three batches of pilot regions.…”

Productivity versus environmental sustainability: A broadscale assessment of freshwater aquaculture's technical efficiency and ecological efficiency in China's inland provinces

“…Fried et al (2002) propose a three‐stage DEA method to avoid these drawbacks by controlling the redundancy caused by the operating conditions. Although the three‐stage DEA model has been popular in the efficiency evaluation of energy industries (Wang, Beusen, et al, 2019; Wang, Sun, & Wang, 2019; Chen et al, 2021) and cultivation practices (Wu et al, 2019), we must recognize that this approach may also produce biased parameters. The reason is that the estimation of each equation is serial rather than simultaneous.…”

Smallholders’ Agricultural Production Efficiency of Conservation Tillage in Jianghan Plain, China—Based on a Three-Stage DEA Model

“…Due to the characteristics that the producers themselves cannot control or change in the short term, these factors are called external environmental factors. According to the research of Wu [ 34 ], Xu [ 35 ], and Xue et al [ 36 ], this paper selects indexes such as smallholders’ agricultural income, education level of smallholders, policy support, and information acquisition as external environment variables.…”