Industrial green total factor productivity in China’s Yangtze River Economic Zone: Temporal and spatial difference analysis based on 108 panel data

Abstract

As China’s strategic support belt, the green development of industry in the Yangtze River Economic Zone is of great significance to promote the construction of China’s ecological civilization, build a modern industrial system and accelerate high-quality economic development. The study of green total factor productivity of industry in the Yangtze River Economic Zone has important theoretical and practical value for exploring the green development path of China’s industry. This Paper takes the Yangtze River Economic Zone, a key strategic region in China, as the research object, selects the input and output data of industrial production from 2006 to 2018, based on DEA model. To construct an MML index considering expected and unexpected output, and to quantitatively analyze the changes of industrial GTFP in the Yangtze River Economic Zone. The results show that: (1) During the sample period, the industrial green total factor productivity in the Yangtze River Economic Zone shows the spatial characteristics of differential growth and the temporal characteristics of volatile growth. It shows the fluctuation characteristics of “N” shape. (2) According to the order of "upper, middle, and lower" reaches, the spatial pattern of industrial green total factor productivity is characterized by "lower ladder". But the difference between the upper and middle reaches is small. (3) Cities with higher green total factor productivity and lower green total factor productivity each form the characteristics of "club convergence" of spatial agglomeration. (4) Technological efficiency and technological progress efficiency have heterogeneous effects on different river basins in the upper, middle, and lower reaches, and technological progress efficiency is conducive to promoting the evolution of green total factor productivity to a high level. According to the above empirical results, this paper finally puts forward the policy recommendations to improve the industrial green total factor productivity of the Yangtze River Economic Zone and the policy recommendations to reduce the industrial differences between the Yangtze River Economic Zone.

How big data drives green economic development: Evidence from China

“…Based on the SBM model, Li J. et al (2021) constructed MML index to comprehensively access GTFP on Chinese laying hens (GTCL). A quantitative analysis of the changes in industrial GTFP in the Yangtze River Economic Zone was performed by Zhang et al (2022) using the MML index which takes into account expected and unexpected output.…”

Research on the Performance Path of Industrial Green Total Factor Productivity in the Context of High-Quality Development—Based on Fuzzy-Set Qualitative Comparative Analysis

“…Fu et al have also confirmed that technological advancements play a vital role in improving economic growth efficiency and promoting green transformation [25]. Additionally, Zhang's findings have revealed the heterogeneous effects of technical efficiency and technological progress efficiency on different river basins in the upper, middle, and lower reaches of the Yangtze River in China [26]. According to Sun's research, it has been demonstrated that innovation in terms of clean technology has a noteworthy and favorable influence on the overall productivity of green industrial sectors [27].…”

Assessment of Spatio-Temporal Evolution Trends and Driving Factors of Green Development in Harbin-Chang urban agglomeration

“…At present, the research objects focus on traditional administrative regions, ranging from an international perspective to countries, provinces, cities, and locations within the country [19][20][21][22] China's national-level urban agglomerations such as the Yangtze River Delta urban agglomeration and the Beijing-Tianjin-Hebei urban agglomeration have also attracted widespread attention from domestic and foreign scholars [23][24][25] . A small number of regional urban agglomeration studies measure the green development level of cities by calculating specific industries or factors, such as economic factors 26 , agricultural development 26 , and ecological governance 28 , making it difficult to fully reflect the urban agglomeration`s green development condition.…”