The impact of low-carbon city construction on ecological efficiency: Empirical evidence from quasi-natural experiments

Song, Malin; Zhao, Xin; Shang, Yuping

doi:10.1016/j.resconrec.2020.104777

Cited by 276 publications

(116 citation statements)

References 35 publications

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“…On the other hand, the third batch of pilot regions started late, so the policy effects have not yet appeared. By learning from the research of Cheng, Yi [ 23 ] and Song, Zhao [ 7 ], we used the second batch of pilot cities as the research samples. For eliminating the interference from the first batch of pilot cities, we removed the first batch of pilot cities from the original samples and used the second batch of pilot cities as the experimental group and other non-pilot cities as the control group.…”

Section: Methodsmentioning

confidence: 99%

“…Meanwhile, the results indicated that it had a positive spatial spillover effect. Song, Zhao [ 7 ] explored that the LCCP policy can improve energy efficiency in pilot regions. Zhang [ 8 ] elaborated that China’s LCCP policy can curb carbon emissions by reducing electricity consumption and improving the level of technological innovation.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of China’s low-carbon city pilot policy: Evidence from 210 prefecture-level cities

Zhou

2021

PLoS ONE

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As the largest carbon dioxide emitter, China is working towards the direction of a green economy. As an irreplaceable part of establishing a green economy, the low-carbon city pilot (LCCP) policy is implemented in many large cities in China, and the scope of implementation will be further expanded. However, to date, there has been an absence of empirical studies basing on prefecture-level cities about the evaluation of China’s LCCP policy. Evaluating and optimizing the LCCP policy is constructive to achieve the goal of China’s green economic transition. In this paper, we evaluated the effect of the LCCP policy on China’s low-carbon economic transition by using the difference-in-difference (DID) approach which can effectively alleviate endogenous problems and better evaluate this effect and the panel data of 210 prefecture-level cities in China from 2008 to 2016. The empirical analysis revealed that the LCCP policy inhibited China’s low-carbon economic transition in general. Specifically, the policy worked well in the eastern region but failed in the central region and western region by studying the regional heterogeneity and influence mechanism. The reason is that the LCCP policy can stimulate low-carbon innovation with the help of innovation offset effects in the eastern region, but it failed to do so in the central region and western region. In addition, this paper analyzed the performance of three types of policy tools adopted by local governments to implement the policy, we found that market-economic tools are valuable to improving the low-carbon economic transition in pilot areas, but command-mandatory tools and voluntary tools have failed to achieve the expected objectives. The research results of this article can provide policy recommendations for optimizing the low-carbon policy and provide a reference for countries that are determined to develop a green economy.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of China’s low-carbon city pilot policy: Evidence from 210 prefecture-level cities

Zhou

2021

PLoS ONE

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“…For example, drones can automatically deliver medical and commercial supplies during a lockdown, and healthcare workers can perform clinical care based on AI technology, which can both improve work efficiency and reduce human contact ( Chen et al., 2020 ). These intelligent solutions can be widely used to identify infected people and deliver appropriate treatment ( Chen et al., 2020 ; Cui et al., 2021 ; Song et al., 2020 ). By fusing Internet of things sensors and machine learning technology, an urban platform can collect and store real-time data on various indicators, including vehicle, pedestrian flow, and air quality, helping local authorities conduct real-time monitoring, big data analysis of the pandemic, and make effective adaptive decisions ( James et al., 2020 ).…”

Section: Background and Literature Reviewmentioning

confidence: 99%

What determines urban resilience against COVID-19: City size or governance capacity?

Chu

Cheng

Song

2021

Sustainable Cities and Society

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This study analyzed the effects of urban governance and city size on COVID-19 prevention and control measures. Based on real-time data in 276 prefecture-level Chinese cities, we used the ordinary least squares plus robust standard error strategy. It was found that: (1) despite the non-significant effect of city size, urban governance capacity was an important factor affecting the prevention and control of the COVID-19 pandemic; urban governance capacity was particularly significant in the late control of the pandemic, but not significant in the early prevention; for every unit increase of urban governance capacity, the number of recovered COVID-19 cases per capita increased by 2.4%. Moreover, (2) the influence mechanism of anti-pandemic measures in cities could be divided into the workforce, financial, and material effects, and their contribution rates were 26.15%, 32.55%, and 37.20%, respectively; namely, the effective/timely assistance from Chinese central government regarding the workforce, financial, and material resources in key pandemic areas and nationwide played a major role in pandemic control. Additionally, (3) cities with a high level of smart city construction were more capable of enhancing the pandemic prevention and control effect, indicating that smart city construction is conducive to enhanced coping with public crises.

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“…Referring to [57,58], a series of control variables will be considered: technological innovation (Innov) is measured by the number of patents granted by G (computer and automation equipment) and H (semiconductor and communication technology), which belong to ICP classification number and the total number of patents granted by cities.…”

Section: Econometric Strategymentioning

confidence: 99%

Can Smart City Policy Facilitate the Low‐Carbon Economy in China? A Quasi‐Natural Experiment Based on Pilot City

2021

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This paper studies the impact of the implementation of smart city policy (SCP) on the development of low-carbon economy (LCE) in China. For this purpose, we developed a nonconvex meta-frontier data envelopment analysis (DEA) approach to measure LCE and used the differences-in-difference (DID) analysis method in the econometric model to empirically analyze the impact of SCP on LCE, using the dataset of 230 cities from 2005 to 2018. The results show that the implementation of SCP can significantly improve the LCE of cities, and the dynamic effect test presents that the promotion of smart cities to low-carbon economy increases with time. In addition, SCP promotes the development of LCE by optimizing government functions and improving the efficiency of governance and the degree of implementation openness. But there is heterogeneity between different cities as follows: the implementation of SCP has a more significant effect on the promotion of LCE in central and western regions in China and large-scale cities and cities without strict environmental protection planning. Finally, the robustness test verifies the reliability of the experimental data again and puts forward conclusions and policy recommendations.

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The impact of low-carbon city construction on ecological efficiency: Empirical evidence from quasi-natural experiments

Cited by 276 publications

References 35 publications

Evaluation of China’s low-carbon city pilot policy: Evidence from 210 prefecture-level cities

Evaluation of China’s low-carbon city pilot policy: Evidence from 210 prefecture-level cities

What determines urban resilience against COVID-19: City size or governance capacity?

Can Smart City Policy Facilitate the Low‐Carbon Economy in China? A Quasi‐Natural Experiment Based on Pilot City

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