Evaluating the low-carbon development of urban China

Qu, Ying; Liu, Yue

doi:10.1007/s10668-016-9777-8

Cited by 59 publications

(30 citation statements)

References 18 publications

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“…Statistical analysis indicated that this policy has had a significant effect on reducing carbon emissions in some pilot cities. For example, Hangzhou City, Xiamen City, and Shenzhen City have reduced carbon emissions by more than 200,000 tons per year [ 19 , 20 ]. And, compared with the provincial average level, the carbon emission intensity of Zunyi City, Urumqi City, and Wuhan City decreased by 20.43%, 19.44%, and 19.12%, respectively [ 21 ].…”

Section: Policy Background and Hypothesismentioning

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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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: Policy Background and Hypothesismentioning

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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“…Entropy is a common objective weighting method. It reflects the importance of indicators by calculating the difference between the numerical values of the objective indicators [52]. Compared with the subjective weighting method, the weights obtained through entropy have higher reliability and accuracy [53].…”

Section: Data Processingmentioning

confidence: 99%

Assessing Urban Risk to Extreme Heat in China

Huang

Guo

et al. 2020

Sustainability

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Many cities are experiencing persistent risk in China due to frequent extreme weather events. Some extreme weather events, such as extreme heat hazard, have seriously threatened human health and socio-economic development in cities. There is an urgent need to measure the degree of extreme heat risk and identify cites with the highest levels of extreme heat risk. In this study, we presented a risk assessment framework of extreme heat and considered risk as a combination of hazard, exposure, and vulnerability. Based on these three dimensions, we selected relevant variables from historical meteorological data (1960–2016) and socioeconomic statistics in 2016, establishing an indicator system of extreme heat risk evaluation. Finally, we developed an extreme heat risk index to quantify the levels of extreme heat risk of 296 prefecture-level cities in China and revealed the spatial pattern of extreme heat risk in China in 2016 and their dominant factors. The results show that (1) cities with high levels of extreme heat hazard are mainly located in the south of China, especially in the southeast of China; (2) the spatial distribution of the extreme heat risk index shows obvious agglomeration characteristics; (3) the spatial distribution of the extreme heat risk is still mostly controlled by natural geographical conditions such as climate and topography; (4) among the four types of hazard-dominated, exposure-dominated, vulnerability-dominated, and low risk cities, the number of vulnerability-dominated cities is the largest. The results of this study can provide support for the risk management of extreme heat disasters and the formation of targeted countermeasures in China.

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“…According to Intergovernmental Panel on Climate Change (IPCC) the global warming has been increasing at an alarming pace in recent decades which is proved by scientific evidences [1]. According to the report released from IPCC, there is a 90% possibility that the increase in greenhouse gases emitted by the human's activities leads to global warming [2]. There has been a growing concern about global climate change especially resulting from energy-related carbon dioxide (CO2) emissions.…”

Section: Introductionmentioning

confidence: 99%

“…To further promote the LCD, identifying effective measures and getting valuable experiences are important tasks. Therefore, how to accurately measure and reasonably evaluate the LCD level is the focus of LCD [2].…”

Section: Introductionmentioning

confidence: 99%

“…They suggested that energy conservation and emission reduction policy should be fixed as a longtime development strategy for every country. Qu and Liu [2] used DPSIR model to quantify the LCD levels of eight cities and five provinces in China. They found that the urbanization level and energy consumption elasticity coefficient were the main factors affecting the LCD levels.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Low Carbon Development of European Union Countries and Turkey Using Grey Relational Analysis

Alptekin

Saraç

2018

Teh. vjesn.

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Energy, especially fossil fuels, plays an important role in ensuring economic growth and improving people's quality of life. Carbon dioxide emissions produced by fossil fuels is regarded as one of the main factors of global climate change. Although there are different opinions towards the issue of global warming, international communities have made substantial efforts in reducing national and global carbon dioxide emissions. However, low carbon development has been advocated by many countries as a new development model. Low carbon development is defined as utilizing less carbon to promote economic growth in the future. In our age of the increasing importance of climate change, low carbon development is a new form of sustainable development. The ultimate aim of low carbon development is to achieve environmental, economic and social sustainable development. In this context, country comparisons obtained by evaluation of low carbon development indicators are important. In this study, low carbon development levels of European Union countries and Turkey were evaluated by Grey Relational Analysis, which is a multiple criteria decision-making approach.

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Evaluating the low-carbon development of urban China

Cited by 59 publications

References 18 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

Assessing Urban Risk to Extreme Heat in China

Evaluation of Low Carbon Development of European Union Countries and Turkey Using Grey Relational Analysis

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