Dynamic Convergence of Green Total Factor Productivity in Chinese Cities

Yuan-xin, Peng; Chen, Zhuo; Lee, Jay

doi:10.3390/su12124883

Cited by 21 publications

(11 citation statements)

References 47 publications

(49 reference statements)

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“…Zhang Yanan et al (2022) measured the green total factor productivity of the Huaihe Economic Zone from 2004 to 2017 based on the carbon cycle, and used the spatial Durbin model to analyse the effects of seven variables on green total factor productivity, including the level of economic development, environmental regulation, the level of R&D, and the degree of openness to the outside world [ 18 ]. Yuanxin Peng et al (2022) used the Malmquist index, spatial autocorrelation analysis, and convergence analysis to analyse GTFP in 263 prefecture-level and above cities in China [ 19 ]. Zhu Yingyu et al (2022) measured green total factor productivity based on the net carbon sink in China’s plantation sector using a stochastic frontier analysis with output-oriented distance function based on panel data from 30 Chinese firms from 2001 to 2019, and empirically examined the impact of agricultural mechanisation on green total factor productivity [ 20 ].…”

Section: Indicator Construction Data Description and Measurement Mode...mentioning

confidence: 99%

Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China

Chen

Ni²,

Zhu

et al. 2022

IJERPH

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A more scientific green economy efficiency indicator is constructed based on OH (2010), and a multiperiod spatial DID model is used to examine the impact of national credit demonstration policies on urban green economy efficiency in a sample of cities above the prefecture level in the Yangtze River Delta. The study confirms the following: (1) The national credit demonstration policy makes a significant contribution to the green economic efficiency of cities, and it is conducive to strengthening awareness of the rule of law in the market to regulate market order. (2) The demand for credit regulation in coastal areas has increased under the new development pattern, and the national credit demonstration policy has effectively enhanced green economy efficiency through institutional supply. (3) Under the national credit demonstration policy, the subprovincial level and above can mobilise more resources for policy refinement and support, reducing transaction costs and improving the efficiency of the green economy. (4) The impact of the national credit demonstration policy on the efficiency of Zhejiang’s green economy is more obvious; but, under the overall framework of the Yangtze River Delta, the policy has a more prominent role in promoting green economy efficiency in other provinces. Policy insights are as follows: (1) Different cities have different degrees of impact on the efficiency of the green economy from the national credit demonstration policy, and they should implement differentiated measures based on regional heterogeneity; (2) regulating the use of administrative resources and avoiding undue administrative intervention are important prerequisites for promoting regional integration to enhance the efficiency of the green economy; and (3) strengthening interprovincial credit policy synergies can help to alleviate administrative distortions of policy implementation and enhance the efficiency of the regional green economy.

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Section: Indicator Construction Data Description and Measurement Mode...mentioning

confidence: 99%

Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China

Chen

Ni²,

Zhu

et al. 2022

IJERPH

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show abstract

“…Peng (2020) selected urban sulfur dioxide emissions to represent urban pollutant emissions as a non-desired output indicator, and total urban electricity consumption to represent energy consumption as an input indicator, and applied the Malmquist index model combined with spatial autocorrelation analysis and convergence analysis to measure urban green total factor productivity in China from 2008–2016. Green total factor productivity was found to show a growing tendency during the research phase, decreasing in spatial distribution from the east to the west, and showing relatively strong spatial clustering overall [ 35 ]. Li (2021) adopted industrial sulfur dioxide emissions, industrial wastewater emissions, and industrial flue gas emissions as non-desired outputs to measure green total factor productivity in the Pearl River Delta urban agglomeration of China from 2005–2018 [ 36 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial and temporal evolution of urban economic development efficiency in China’s Yangtze River economic belt from the perspective of sustainable development

2022

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Urban economic development is crucial to regional economy and people’s life, and enhancing the efficiency of urban economic development is of great significance to boost sustainable and healthy economic and social development. In this paper, from the perspective of sustainable development, data of 104 cities in China’s Yangtze River Economic Belt (YREB) from 2004 to 2019 are selected, and the urban resource consumption index and urban pollutant emission index are synthesized as new input-output indicators using the Time Series Global Principal Component Analysis (GPCA), combined with the Global Malmquist-Luenberger (GML) Index Model, Standard Deviation Ellipse (SDE) Model to measure the total factor productivity index of urban economic development in China’s YREB and analyze its spatial and temporal evolution. The results show that from 2004 to 2019, the total factor productivity index of urban economic development in China’s YREB showed an overall fluctuating upward trend with an average annual growth of 5.8%, and the analysis by decomposing indicators shows that the growth of total factor productivity of urban economic development in China’s YREB is mainly influenced by the growth of technological progress. Meanwhile, there are obvious regional differences in the efficiency of urban economic development in China’s YREB, with the largest difference in the middle reaches of the Yangtze River, the second largest in the upper reaches, and the smallest in the lower reaches. From 2004 to 2019, the efficiency center of gravity of urban economic development efficiency in the YREB has always been located in the middle reaches of the Yangtze River region. The spatial distribution pattern of urban economic development efficiency in the YREB is dominated by the northeast-southwest direction and tends to be concentrated in the study time period.

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“…(i) GTFP: the method of DEAP-Malmquist index is used to measure the enterprises' environmental efficiency, the industrial GTFP, or agricultural GTFP [42]. Thus, we used the DEAP-Malmquist index to measure GTFP with the input of urban employment, fixed assets, energy consumption, and the output of regional GDP, carbon dioxide emission, and sulfur dioxide emission.…”

Section: Data and Variablesmentioning

confidence: 99%

Inflection Point of Green Total Factor Productivity by Low-Carbon Regulation from Chinese Economics Recovery

Ding

2021

Sustainability

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The sustainable growth path of emerging economies has transformed from the traditional extensive model to high-quality development. Due to the impulse force of low-carbon regulation, the measurement of input–output efficiency changed into green total factor productivity (GTFP) which considers environmental factors. Past research on GTFP focused on enterprise investments to promote green innovation for their resource allocation efficiency, but green investments are often limited from marketization that is interactively influenced by low-carbon regulation. Therefore, handing green investment to mitigate carbon dioxide emissions for green economics recovery is a big challenge. Then these hypotheses are tested by the main study of 170 cities in China. Results suggested that GTFP has an inverted S-shaped curve with three inflection points and four development stages under the influence of low-carbon regulation. It means that improving green productivity is costly toward making green investments without the driving of green innovation. However, the inflection point of the growth curve—when enterprise investment activities ignore the interaction between low-carbon regulation and green investment policy—will come slowly to a period of high-quality development. Moderating results suggested that the green productivity would be weakened and the inflection point would be delayed by the low-carbon marketization index if the low-carbon regulation intensity was neglected. Therefore, this research advanced an effectively co-ordinate growth curve to search for the inflection point of green economics recovery.

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Dynamic Convergence of Green Total Factor Productivity in Chinese Cities

Cited by 21 publications

References 47 publications

Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China

Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China

Spatial and temporal evolution of urban economic development efficiency in China’s Yangtze River economic belt from the perspective of sustainable development

Inflection Point of Green Total Factor Productivity by Low-Carbon Regulation from Chinese Economics Recovery

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