Impacts of dual decentralization on green total factor productivity: evidence from China’s economic transition

Song, K. S.; Bian, Yuanchao; Zhu, Chen; Nan, Yongqing

doi:10.1007/s11356-020-07953-8

Cited by 44 publications

(20 citation statements)

References 31 publications

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“…Wang et al suggested that it is necessary to give full attention to the synergy between FDI and fiscal expenditure and formulate regionally targeted policies to improve GTFP and promote high-quality development in China [ 27 ]. Song et al found that the expenditure decentralization and the fiscal expenditure competition among different areas are conducive to improving the local area’s GTFP [ 28 ]. Li et al thought the institutional influences on the input–output of the high-tech industry are very clear and positive, and its influence on the TFP is the greatest [ 29 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Total Factor Productivity and High-Quality Economic Development: A Theoretical and Empirical Analysis of the Yangtze River Economic Belt, China

Zeng

Shu

Wen-xian

2022

IJERPH

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This paper focuses on the total factor productivity (TFP) and high-quality economic development in China by examining 11 Chinese provinces and cities in the Yangtze River Economic Belt from 2007 to 2018. We use the Solow residual method to calculate the TFP growth rate of the 11 provinces and cities. Based on the panel data, we have analyzed the influencing factors of TFP theoretically and empirically from the overall region and upstream region, and midstream region and downstream region, respectively. The regression results show that: (1) The whole characteristics generally show the TFP growth trend of the upstream region, midstream region and downstream region are consistent with that of the overall region, and the growth rate of TFP slows down gradually. Meanwhile the differences in TFP growth between the upstream region, midstream region and downstream region show an increase at first and then a decrease. (2) Regarding the influencing factors, there are differences in the direction and extent of the impact of each factor such as the level of openness, R&D investment, industrial structure, government expenditure and human capital on the TFP of the overall region, upstream region, midstream region and downstream region. (3) Based on the results of the theoretical and empirical analysis, we have proposed a series of measures for the sustainable high-quality development of the Yangtze River Economic Belt.

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Section: Literature Reviewmentioning

confidence: 99%

Total Factor Productivity and High-Quality Economic Development: A Theoretical and Empirical Analysis of the Yangtze River Economic Belt, China

Zeng

Shu

Wen-xian

2022

IJERPH

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“…With respect to the influencing factors of GTFP, they could be classified into economic and institutional factors. Among them, economic factors include technical change [28,29], industrial agglomeration [30], financial development [31,32], FDI [13,33,34]; institutional factors include environmental policies [35][36][37][38], fiscal policies [17,39]. Given the research theme of this paper, we mainly focus on and review the related studies on how FDI and fiscal expenditure affect GTFP growth.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this context, pollution emissions such as carbon emissions, sulfur dioxide and PM 2.5 are inevitably rising rapidly, thereby creating a "green paradox" that is not conducive to China's GTFP growth. Of course, some scholars holding different opinions, such as argued that fiscal expenditure decentralization and competition could promote technological progress and thus contribute to China's GTFP growth [58].…”

Section: Literature Reviewmentioning

confidence: 99%

Relationship between FDI, fiscal expenditure and green total-factor productivity in China: From the perspective of spatial spillover

Wang

Zhang

2021

PLoS ONE

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Deeply investigating the relationship between foreign direct investment (FDI), fiscal expenditure and green total-factor productivity (GTFP) is beneficial to formulating effective policies to promote the high-quality development in China. Based on theoretical mechanism analysis, with panel data of China’s mainland 30 provinces during 2003–2017, this paper utilizes spatial econometric model to empirically explore the effects of FDI, fiscal expenditure and their interaction item on the growth of GTFP in China. The results show that FDI significantly promote the growth of the local and its neighboring GTFP, and both fiscal expenditure and the interaction between FDI and fiscal expenditure exert significantly negative effects on the growth of GTFP in the local and its neighboring regions. A series of robustness checks and the endogeneity test can ensure the reliability of these results. In addition, great heterogeneity can be found across China’s different regions in the relationship between FDI, fiscal expenditure and GTFP. The conclusions suggest that it is necessary to give fully play to the synergy between FDI and fiscal expenditure and formulate regionally targeted policies to improve GTFP and promote high-quality development in China.

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“…In response to this situation, the Chinese government has begun to promote green development [ 4 ], with a change in emphasis from pursuing GDP growth to pursuing green total factor productivity (GTFP) [ 5 ]. Green total productivity refers to the total factor productivity estimated by taking pollutant emissions as unpaid inputs and introducing them into the production function together with capital, labor, and energy inputs [ 6 , 7 , 8 , 9 , 10 ]. To improve GTFP, the Chinese government has formulated and improved a series of environmental policies to promote high-quality economic development [ 11 ], such as “ambient air quality standard” and “air pollution prevention and control law”.…”

Section: Background and Introductionmentioning

confidence: 99%

Does Environmental Regulation Improve the Green Total Factor Productivity of Chinese Cities? A Threshold Effect Analysis Based on the Economic Development Level

Cheng

et al. 2021

IJERPH

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Improvement of green total factor productivity (GTFP) through environmental regulation is of great practical significance in promoting the high-quality development of urban economies. Based on panel data for 163 cities in China from 2003 to 2016, five indicators were selected to quantify the effects of environmental regulation: the SO2 removal rate, smoke and dust removal rate, solid waste utilization rate, domestic sewage treatment rate, and waste harmless treatment rate. This study evaluated the impact of environmental regulation on urban GTFP, and analyzed the threshold effect of urban economic development levels. The research results showed that the impact of environmental regulations on GTFP changed as the level of urban economic development increases. When the economic development level was low, environmental regulation had a significant positive effect on GTFP, especially the SO2 removal rate. When the economy developed to reach a medium level, the impact of environmental regulation on GTFP was negative. When the economic development level was high, the SO2 removal rate still had a significant positive impact on GTFP. The solid waste utilization rate had a significant negative impact on GTFP. It was concluded that the government should consider the local economic development level when formulating environmental regulation policies.

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Impacts of dual decentralization on green total factor productivity: evidence from China’s economic transition

Cited by 44 publications

References 31 publications

Total Factor Productivity and High-Quality Economic Development: A Theoretical and Empirical Analysis of the Yangtze River Economic Belt, China

Total Factor Productivity and High-Quality Economic Development: A Theoretical and Empirical Analysis of the Yangtze River Economic Belt, China

Relationship between FDI, fiscal expenditure and green total-factor productivity in China: From the perspective of spatial spillover

Does Environmental Regulation Improve the Green Total Factor Productivity of Chinese Cities? A Threshold Effect Analysis Based on the Economic Development Level

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