Analysis of regional agricultural carbon emission efficiency and influencing factors: Case study of Hubei Province in China

• DOI: 10.1371/journal.pone.0266172
• Publication Date: 2022-04-28T20:02:35Z
• Authors: Tengyu Shan; Yuxiang Xia; Chun Hu; Shunxi Zhang; Jinghan Zhang; Yaodong Xiao; Fangfang Dan
• Keywords: Malmquist index; Carbon fibers; Agricultural machinery

In recent years, China's industrial economy has grown rapidly and steadily. Concurrently, carbon emissions have gradually increased, among which agricultural production is an important source of greenhouse gas emissions. It necessary to reduce by improving their efficiency achieve the global goal peak dioxide in 2030. From a dynamic static point view, this study puts into evaluation index system emission analyzes its influencing factors Hubei Province. First, unexpected output Slacks-based measure (SBM) model data envelopment analysis was used evaluate Province 2018 compared it with other provinces horizontally. Second, Malmquist-Luenberger analyze comprehensive from 2004 2018. The role technological progress technical change development low-carbon agriculture analyzed. results showed that improved 2018, overall level slightly higher than average China. However, not eliminated extensive modes high input, low efficiency, emission, pollution. resource utilization close optimal level. improvement space small. Hence, technology key factor restricting efficiency. provide reference for policy formulation expand choice path. This practical significance.