Interaction mechanism between industrial transformation and upgrading and green total factor productivity improvement: An empirical study based on 116 China's prefecture-level resource-based cities

Li, Bo; Qin, Huan; Sun, Wei

doi:10.31497/zrzyxb.20220113

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Zhao (2022) analyzed the evolutionary characteristics and interactive relationship between industrial transformation and upgrading and the promotion of GTFP [31]. Li et al (2022) analyzed the relationship between innovation spillover capacity, GTFP, and temporal and spatial patterns of 30 provinces in China from 2008 to 2018 from two dimensions of time and space [32].…”

Section: Introductionmentioning

confidence: 99%

Regional Differences and Convergence of Inter-Provincial Green Total Factor Productivity in China under Technological Heterogeneity

Huang

Yin

Guo

et al. 2022

IJERPH

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Green development is an effective way to reconcile the main contradictions between resources, environment, and regional development. Green total factor productivity (GTFP) is an important index to measure green development; an undesirable output-oriented SBM-DEA model and GML model can be used to calculate GTFP. China’s 30 provinces (municipalities and autonomous regions) are divided into three groups: eastern, central, and western. The common frontier function and group frontier function are established, respectively, to deeply explore the temporal and spatial evolution characteristics and center of gravity shift of inter-provincial green total factor productivity (GTFP) in China, and test the convergence under group frontier, to compare the convergence problems under different regions. This study aims to point out the differences in economic growth in different regions of China, foster regional coordination and orderly progress, promote China’s green development process, and improve the high-quality economic development level. According to the results, the efficiency of green development is more reasonable under the frontier groups. The average TGR in the eastern region was 0.993, indicating that it reached 99.3% of the meta-frontier green development efficiency technology. The inter-provincial GTFP in China gradually increased, with an average value of 1.043, which means China’s green development and ecological civilization construction have achieved remarkable results and the three regions showed significant differences. Judging from the shift path of the spatial center of gravity, the spatial distribution pattern of inter-provincial GTFP in China tends to be concentrated and stable as a whole. Moreover, σ convergence only exists in the western region, while absolute β convergence and conditional β convergence exist in eastern, central, and western regions, indicating that the GTFP of different regions will converge to their stable states over time. The results provide a basis for improving the efficiency of institutional allocation of environmental resources, implementing regional differentiated environmental regulation policies, and increasing the value creation of factor resources, which is of great significance for realizing the high-quality economic development in which resources, environment, and economy are coordinated in China.

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Section: Introductionmentioning

confidence: 99%

Regional Differences and Convergence of Inter-Provincial Green Total Factor Productivity in China under Technological Heterogeneity

Huang

Yin

Guo

et al. 2022

IJERPH

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“…Explained variables. Based on the existing literature, the years of education were used to measure the human capital level of urban and rural residents in this paper [26,38]. Specifically, the years of education of all urban and rural samples were used as an explained variable in this paper for benchmark regression analysis.…”

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confidence: 99%

Research on the Impact of Digital Empowerment on China’s Human Capital Accumulation and Human Capital Gap between Urban and Rural Areas

Sun

2023

Sustainability

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Human capital is a key factor in the economic growth and sustainable development of a country. However, the impact of digitalization on human capital accumulation and the urban-rural human capital gap in China is seldom a focus in the literature. This paper establishes a three-sector economic growth model surrounding knowledge accumulation, endogenous technology, and labor mobility. It is designed to theoretically explain the influence of digital empowerment on human capital accumulation and its urban-rural gap in an economy. An empirical test is also conducted using CFPS panel data for 25 Chinese provinces from 2016 to 2018. The results show that: Firstly, digital empowerment significantly promotes the accumulation of human capital in rural and urban areas. The number of years of education increases by 1.37% in rural areas and 3.07% in urban areas for each index point of digitalization increase. Secondly, the impact of digitalization on the human capital gap between urban and rural areas demonstrates an inverted U-shaped curve. However, it is still within the Matthew Effect that the human capital gap between urban and rural areas is widening in tandem with digital development. Finally, the Matthew Effect in digitalization on the urban-rural human capital gap is relatively larger in the female group, higher education population, and larger family size.

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Digital inclusive finance and green total factor productivity growth in rural areas

Liu

You

et al. 2023

Journal of Cleaner Production

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Interaction mechanism between industrial transformation and upgrading and green total factor productivity improvement: An empirical study based on 116 China's prefecture-level resource-based cities

Cited by 3 publications

References 7 publications

Regional Differences and Convergence of Inter-Provincial Green Total Factor Productivity in China under Technological Heterogeneity

Regional Differences and Convergence of Inter-Provincial Green Total Factor Productivity in China under Technological Heterogeneity

Research on the Impact of Digital Empowerment on China’s Human Capital Accumulation and Human Capital Gap between Urban and Rural Areas

Digital inclusive finance and green total factor productivity growth in rural areas

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