Effects of Smart City Policies on Green Total Factor Productivity: Evidence from a Quasi-Natural Experiment in China

Xin, Baogui; Qu, Yongmei

doi:10.3390/ijerph16132396

Cited by 52 publications

(30 citation statements)

References 45 publications

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“…Based on this study, Liu and Xin (2019) assess the provincial GTFP of 17 Chinese provinces along the Belt‐and‐Road initiative during 2003–2016 using the SBM approach. Moreover, Xin and Qu (2019) analyze the impact of smart city policies on the GTFP in the context of urban development patterns; they also use the SBM index to calculate GTFP growth. Li and Liu (2017) use SBM to analyze the spatial pattern evolution of GTFP for 108 cities in the Yangtze River Economic Belt in 2003–2013, and Zhou et al (2019) estimate the GTFP of China's provinces under resource and environmental restrictions using the SBM DDF and Luenberger productivity index.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards sustainable development: How does technological innovation drive the increase in green total factor productivity?

Wang

Pang

Hmani

et al. 2020

Sustainable Development

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This study aims to assess the impact of technological innovation on green total factor productivity (GTFP), within Organization for Economic Cooperation and Development (OECD) countries, by using a panel data over the period 1996–2017. The results show that technological innovation has a significant positive influence on GTFP. The interaction between technological innovation and the economic development level has a significant negative impact on GTFP. However, the interaction between technological innovation and foreign direct investment (FDI) has no significant influence on GTFP. In addition, technological innovation has a positive effect on GTFP when the economic development level is lower than the threshold value. However, technological innovation has an otherwise insignificant promotional effect. Technological innovation has a positive effect on GTFP when FDI is below the threshold value, and it has a slightly significant positive impact when FDI exceeds the threshold value. Therefore, various measures should be taken to guide technological innovation and improve its quality to promote GTFP and realize sustainable development.

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Section: Literature Reviewmentioning

confidence: 99%

Towards sustainable development: How does technological innovation drive the increase in green total factor productivity?

Wang

Pang

Hmani

et al. 2020

Sustainable Development

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“…(4) Research on other influencing factors of GTFP On the foundation of incorporating environmental factors into the total factor productivity measurement framework, economists have also carried out many valuable analyses on the factors affecting the efficiency of the green economy under environmental constraints. In addition to the above factors of Internet development and human capital, other factors such as environmental regulation [47,48], fiscal decentralization [49], factor distortion [50], technological innovation [51,52], financial development [53], energy conservation and emission reduction policy plans [54,55] would also affect green TFP in different degrees. Through the years, with the in-depth development of economic globalization, the "One Belt and One Road" initiative has also effectively raised GTFP in provinces along the route of China [56].…”

Section: Research On Green Total Factor Productivitymentioning

confidence: 99%

How Does the Development of the Internet Affect Green Total Factor Productivity? Evidence From China

Han

Ding

et al. 2020

IEEE Access

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Green total factor productivity is not merely an inevitable choice to continuously increase the quality of China's economy, but also a booming demand to promote global development. With the fast development of the new generation information technology represented by world comprehensive web technology, Internet growth may well play a more crucial role in enhancing green total factor productivity in China. Based on 2009-2017 China's inter-provincial panel data, this article uses the threshold regression model and fixed-effect model to empirically investigate the influence intensity and internal mechanism of green total factor productivity in areas affected by the Internet development. We ultimately come to the following conclusions. First, there is a digital divide between the regions of China. Second, many factors such as Internet development, human capital, urbanization, energy efficiency, and external dependence all exert a positive influence on China's green total factor productivity. At the same time, government intervention is not conducive to green total factor productivity. Third, the influence of Internet growth on China's green total factor productivity is non-linear, based on the significant double threshold effect of human capital. As the level of human capital continues to exceed the threshold value, the effect of Internet expansion on the green total factor productivity of China has undergone a structural change. The result has changed from a weak negative influence to a positive one, and the significance is increasing. To advance the smart, green, and coordinated development among regions, it is necessary to bring "Internet +" into full play in promoting China's green total factor productivity, strengthen the deep integration of Internet development and industrial development, and improve the level of clean production utilizing network information.

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“…We assumed that the improvement in TFP had not been due to the pilot policies but to the economic and social development over time, which are not related to the cities. To eliminate the influence of conventional random factors for a placebo test, we referred to [49] to set the false year of the implementation of the policy. We advanced the implementation times of the real policy by one and two years, then estimated the effects on TFP and its components.…”

Section: Robustness Tests 431 Placebo Testmentioning

confidence: 99%

Does Low-Carbon City Construction Improve Total Factor Productivity? Evidence from a Quasi-Natural Experiment in China

Zhang

Huang

Zhu

et al. 2021

IJERPH

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Low-carbon city construction (LCC) is an important strategy for countries desiring to improve environmental quality, realize cleaner production, and achieve sustainable development. Low-carbon cities have attracted widespread attention for their attempts to coordinate the relationship between environmental protection and economic development. Using the panel data from 2006 to 2017 of prefecture-level cities in China, this study applied the difference-in-differences (DID) method to analyze the effects of LCC on the total factor productivity (TFP) of the cities and its possible transmission mechanism. The results show significantly positive effects on TFP, but the effects on each component of TFP are different. Although the LCC has promoted technical progress and scale efficiency, it has inhibited technical efficiency. The accuracy of the results has been confirmed by several robustness tests. Mechanism analysis showed that the pilot policy of low-carbon cities has promoted technical progress and scale efficiency by technological innovation and the upgrading of industrial structure, but resource mismatches among enterprises have been the main reason for reduced technical efficiency. Regional heterogeneity analysis showed that the effects on TFP in the eastern region have been more significant than in the central and western regions. In the eastern region, they have promoted technical progress, while in the central and western regions, they have promoted technical progress and scale efficiency but hindered technical efficiency. This paper presents our findings for the effects of LCC on economic development and provides insightful policy implications for the improvement of technical efficiency in low-carbon cities.

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Effects of Smart City Policies on Green Total Factor Productivity: Evidence from a Quasi-Natural Experiment in China

Cited by 52 publications

References 45 publications

Towards sustainable development: How does technological innovation drive the increase in green total factor productivity?

Towards sustainable development: How does technological innovation drive the increase in green total factor productivity?

How Does the Development of the Internet Affect Green Total Factor Productivity? Evidence From China

Does Low-Carbon City Construction Improve Total Factor Productivity? Evidence from a Quasi-Natural Experiment in China

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