Impacts of agricultural industrial agglomeration on China's agricultural energy efficiency: A spatial econometrics analysis. (1st July 2020)

• Record Type: Journal Article
• Authors: Wu, Jianzhai; Ge, Zhangming; Han, Shuqing; Xing, Liwei; Zhu, Mengshuai; Zhang, Jing; Liu, Jifang
• Is Part Of: Journal of cleaner production. Volume 260(2020)
• Publication Date: 2020-07-01
• Subjects: Industrial agglomeration -- Energy efficiency -- Spatial econometrics -- Agriculture in China; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2020.121011
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: The rapid development of traditional agriculture in China was achieved at the expense of high energy consumption and investments. However, the global green development trend made it necessary for the country to transform its agricultural energy utilization. Energy efficiency changes are affected by many factors, particularly industrial agglomeration. In recent years, the Chinese government has introduced a series of policies, including setting major producing regions for grains and advantageous regions for characteristic agricultural product. These have caused significant changes to the spatial layout of the agriculture industry. However, there is still a lack of research on the impact of these changes on agricultural energy efficiency (AEE). In this study, panel data of 30 Chinese provinces from 2000 to 2016 were entered into stochastic frontier models to measure the country's AEE at the provincial level. A series of spatial econometric models were also used to analyze the impact of agricultural industrial agglomeration on China's AEE. The results indicated that the country's AEE exhibited obvious spatial gradients and correlations. After controlling the impacts of spatial correlation and other factors in the models, agricultural industrial agglomeration was found to have an overall positive impact on China's AEE. In the future, policies should be formulated to increase AEE by establishing agricultural functional areas, strengthening the innovation and sharing of green development technologies at the farm level, and promoting the optimization of energy structures in agricultural and rural areas. Highlights: We analyzed the impact of industrial agglomeration on agricultural energy efficiency (AEE). Spatial econometric models were used to evaluate the impact. China's AEE exhibited significant spatial autocorrelation and differentiation. Industrial agglomeration could promote AEE improvements.