| Abstract |
The low-carbon agriculture strategy equipped with green economy is developed to encourage the substantial growth of green assets of the natural resources. In order to achieve growth in agricultural energy efficiency, this paper mainly uses the directional distance function and the ML index to analyze the agricultural total factor energy efficiency in the 11 provinces and cities of the Yangtze River Economic Belt from both dynamic and static aspects, and uses the fixed-effect panel model method. The main influencing factors are regression analysis of panel data. The results of the study show that for every 1% increase in crop damage, the agricultural energy efficiency will drop by 0.452%; the literacy level of the labor force at the level of 5% significantly affects agricultural energy efficiency. This work contributes in improving the smart city planning along with the reduction in the degree of damage to crops due to the negative impact of industrial structure and the level of mechanization. This work enables the futuristic technologies by promoting the level of urbanization, labor education and the government’s financial support for agriculture. © 2021, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden. |
