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Science and Technology Management and Innovation Management

Green and Low-carbon Performance Evaluation and Regional  Disparity Analysis of Agricultural Listed Enterprises 

Zhang Jingjing1 , Li Huajing1 , Ding Luyang2 

(1.School of Economics and Management, Beijing Forestry University, Beijing 100083, China; 2.School of Digi⁃ tal Economics and Management, Huaihua University, Huaihua 418000, China)

Abstract: This study takes Chinese agricultural listed enterprises from 2012 to 2021 as the  research object and constructs a three-dimensional evaluation index system comprising eco⁃ nomic performance, green performance, and low-carbon performance. In terms of research meth⁃ ods, the entropy weight method is first employed to comprehensively measure the green and lowcarbon performance of agricultural listed enterprises. On this basis, the Dagum Gini coefficient  and its decomposition method are further applied to analyze overall regional differences, intraregional differences, inter-regional differences, and the sources of transvariation density. Addi⁃ tionally, the Kernel density estimation method is used to examine the dynamic evolution charac⁃ teristics and distribution trends of the green and low-carbon performance of agricultural listed  enterprises.The research results show that: ①From 2012 to 2021, the overall green and lowcarbon performance of Chinese agricultural listed enterprises exhibited a fluctuating upward  trend, indicating that the level of green and low-carbon development has generally improved. However, the overall level remains low, leaving substantial room for improvement. From a re⁃ gional perspective, the overall performance of agricultural listed enterprises in the eastern region  is significantly higher than that in the central and western regions, underscoring prominent re⁃ gional development imbalances. ②The Dagum Gini coefficient results reveal that the overall dis⁃ parity in green and low-carbon performance among agricultural listed enterprises is relatively  large and shows a widening trend. Among the sources of disparity, transvariation density is a ma⁃ jor contributor, suggesting strong cross-regional overlap and interaction. ③The Kernel density  estimation results demonstrate that the distribution of green and low-carbon performance among  agricultural listed enterprises has shifted from relative convergence to polarization. Although the  eastern region exhibits a higher overall level of green and low-carbon development, the perfor⁃ mance gap between enterprises within this region remains large. Based on the above findings, this study suggests strengthening inter-regional collaboration  on green technologies and resource sharing to facilitate the cross-regional diffusion of green and  low-carbon technologies; reinforcing the position of agricultural listed enterprises as the main  drivers of green innovation and increasing investment in green technology R&D; and providing  targeted guidance and support to low- and medium-performing enterprises to steadily raise the  overall level of the overall green and low-carbon performance. 

Key words: agricultural listed enterprises; green and low-carbon performance level; spatio⁃ temporal differences; new quality productive forces; digital technology; green technology; total  factor productivity; high-quality development