Evaluation of China's pilot low-carbon city program: A perspective of industrial carbon emission efficiency

Shi, Xiuyi; Xu, Yingzhi

doi:10.1016/j.apr.2022.101446

Cited by 68 publications

(26 citation statements)

References 50 publications

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“…According to China’s National Bureau of Statistics, on the one hand, China’s economic development is primarily driven by the improvement of industrial upgrading momentum: both high-tech manufacturing and high-tech service industries have maintained rapid growth, and investment in high-tech industries is also accelerating. The driving effect of industrial upgrading will still support the development of China’s economy [ 39 , 40 , 41 ]. On the other hand, innovation-driven development also plays an increasing role in supporting the economy.…”

Section: Methodsmentioning

confidence: 99%

Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?

Wang

Yang

2022

IJERPH

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The green growth mode of modern economy is affected by both policy and market, but previous studies have lacked a comparison between the two effects on green economy development. Which is the leading factor of green growth: policy or market? Using the Panel Smooth Transition Regression (PSTR) model and the twelve-year data of more than 200 prefecture-level cities in China, we compared and analyzed the linear and non-linear effects of environmental regulation and marketization degree on green total factor productivity (GTFP). The results show that: (1) both environmental regulation and marketization degree have a non-linear promoting effect on GTFP. (2) GTFP is mainly market-driven rather than policy-guided. (3) Environmental regulation and marketization promote the improvement of GTFP through the industrial upgrading effect and the innovation development effect, respectively. This paper makes up for the comparative analysis gap of factors in the field of green growth and extends from the single determination of influencing factors to the importance of the comparison of influencing factors with the transition perspective. The conclusions provide a reference for the green development of countries and regions, emphasizing the importance of green development policies adapting to local conditions and time and providing evidence for market-oriented green economy development.

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Section: Methodsmentioning

confidence: 99%

Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?

Wang

Yang

2022

IJERPH

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“…Nevertheless, as China strives to fulfill its carbon emission reduction goals, the most immediate dilemma is the need to optimize the ecosystem by boosting carbon emission efficiency while guaranteeing stable and healthy economic development (Meng et al, 2021). Carbon emission efficiency is considered as one of the parameters to evaluate low carbon economy level, which is essentially a production technology efficiency considering carbon emission that can reflect the resource utilization efficiency of production activities as well as the carbon utilization capacity (Shi et al, 2022). Therefore, an in-depth discussion on carbon emission efficiency not only helps analyze the scope for carbon emission reduction improvement in each area, but also contributes to the early achievement of the double carbon goal.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impact of the Digital Economy on Carbon Emission Efficiency Under Factor Misallocation Constraints: New Insights From China

Liu

et al. 2022

Front. Environ. Sci.

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The digital economy has introduced far-reaching innovations in the fields of government governance, enterprise production, and social operation. How to motivate the economic development mode towards a low-carbon and greenway transformation through the digital economy is a major issue concerning the Chinese government. However, there is scarce evidence to interpret the role mechanism of the digital economy on carbon emission efficiency from the factor misallocation scenario. Taking a database from 30 provincial-level administrative regions for the period from 2011 to 2019 in China as an example, the paper examines the effect of the digital economy on carbon emission efficiency, as well as explores its role mechanism deeply in terms of factor misallocation (capital misallocation and labor misallocation). The results suggest that there is a significant potential for the digital economy to contribute to carbon emission efficiency, as well as this finding, is valid when considering both the endogeneity issue and a series of robustness checks. Also, the digital economy can significantly contribute to carbon efficiency in both southern and northern regions, but more strongly in the northern region. Besides, the digital economy can inhibit the factor misallocation (labor misallocation and capital misallocation) level which ultimately improves carbon emission efficiency. Finally, as a digital economy, it can positively impact carbon efficiency in the long run by mitigating factor misallocation (labor misallocation and capital misallocation).

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“…Many empirical analysis results based on G6 countries, BRICs countries and other countries have confirmed that green investment, green technology innovation and renewable energy usage can play a significant role in reducing carbon dioxide emissions (Jia et al, 2021;Su et al, 2021;Xin et al, 2022). Other studies have also focused on the carbon trading market (Ren et al, 2022a;Ren et al, 2022b;Liu et al, 2022;Shi and Xu, 2022).…”

Section: Introductionmentioning

confidence: 99%

Study of the Effect of China’s Emissions Trading Scheme on Promoting Regional Industrial Carbon Emission Reduction

Feng

Lin²,

Hou

et al. 2022

Front. Environ. Sci.

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The creation of carbon emissions trading markets is a core policy for realizing China’s twin objectives of reaching a peak in CO2 emissions before 2030 and achieving carbon neutrality by 2060. Given that industry is the most significant energy consumer and CO2 emitter, it is imperative to implement carbon reducing initiatives to attain these goals. Following the implementation of carbon emissions trading pilots in China, this article theoretically analyzes the mechanisms of action and paths of influence of China’s carbon trading policies on regional industrial carbon emissions. Then, regarding the trading rights policies launched in 2013 as a quasi-natural experiment, this study uses provincial panel data and industry data from 2003 to 2016 to empirically test the effect of carbon trading on industrial emissions by employing the difference-in-difference and difference-in-difference-in-difference methods. It was found that carbon emissions trading can promote a reduction in regional industrial carbon emissions, achieving the dual aims of reducing total emissions and reducing emission intensity. The reduction effect occurs after the implementation of the carbon trading market policies. The carbon trading policies reduced regional industrial emissions by optimizing regional industrial structures and increasing regional technological innovation. It was also found that reductions in carbon emissions were heterogeneous among industries. These research conclusions will help to improve the top-level design of China’s industrial energy saving and carbon reduction policies and to achieve low-carbon and green industrial development.

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Evaluation of China's pilot low-carbon city program: A perspective of industrial carbon emission efficiency

Cited by 68 publications

References 50 publications

Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?

Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?

Exploring the Impact of the Digital Economy on Carbon Emission Efficiency Under Factor Misallocation Constraints: New Insights From China

Study of the Effect of China’s Emissions Trading Scheme on Promoting Regional Industrial Carbon Emission Reduction

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