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To accelerate the development of low-carbon industry in Zhaoqing City, transform the mode of economic growth, and promote industrial transformation and upgrading, the SWOT analysis method was applied. From the four aspects of strengths, weaknesses, opportunities and threats, the feasibility of developing a low-carbon economy in Zhaoqing was systematically analyzed. From the adjustment of industrial structure, the optimization of energy structure, the promotion of low-carbon tourism, the development of circular economy, and the enhancement of carbon sink capacity, the development path of low-carbon economy was explored. Based on the above analysis, a low carbon development plan was prepared. From the implementation of low-carbon development strategy, the choice of low-carbon economy pilot, and the low-carbon economic security system, the implementation steps of Zhaoqing's low-carbon economy were discussed in detail. The results showed that the low-carbon economy concept provided some ideas for Zhaoqing's economic development. Therefore, Zhaoqing is still in its infancy. The city's transportation system is not perfect. To develop a low-carbon economy, governments, enterprises, and individuals need to participate actively.

The chapter explores the corporate risks and opportunities in low carbon economy in order to provide references for business to tackle the global warming issue. It first discusses severe consequence of climate change and points out that the low carbon economy is to mitigate climate change. Then different perspectives of low carbon economy and similar connotations are introduced. It is found that companies are driven to practise environmental responsibility by various risks. In particular, these risks come from international policies, investors, national regulations, customers, peers, sub-sectors, and supply chains. Finally, the opportunities and benefits of low carbon responsibility are illustrated. The research shows that if the enterprises actively take low carbon responsibility, they will get the opportunities to develop corporate capabilities, benefits of early movement and advantages of brand effect.

This paper aims to quantify the (syndicated) loan exposure to elevated environmental risk sectors of the banking system in the USA, EU, China, Japan and Switzerland at US$1.6tn and to highlight its importance, which ranges from 3.8 (USA) to 0.5 per cent (China) in terms of total national banking assets. The paper highlights the relevance of exploring prudential policy responses, including a harmonized taxonomy, statistical and reporting framework that could contribute to internalizing the negative externalities associated with climate risks by both banks and their supervisors. Among the prudential supervisory tools, credit registers facilitate the assessment of environmental risk drivers in “carbon stress tests.” This paper also presents a framework of analysis for the regulatory treatment of climate-related risks.

Similarly to Weyzig et al. (2014), this paper uses financial databases on the banks’ role as book runners for syndicated loans; that is, as the lead arrangers who also provide a large share of the actual lending. Loans are outstanding on December 31, 2014, and the paper assumes linear amortization of loans issued before that date and with maturity after that date. This study includes the largest banks from the above-mentioned countries with financial information available in SNL Financial and EU banks with financial information available in the ECB database on December 31, 2014. By assessing the relative share of the ten largest (or total reporting if less) banks’ exposure to each high environmental risk sector in relation to their total assets, these findings can be extrapolated across sectors in the respective country.

This paper quantifies the loan exposure to elevated environmental risk sectors of the banking system in the USA, EU, China, Japan and Switzerland in US$1.6tn, broadly in line with the findings of Battiston et al. (2017) and Weyzig et al. (2014). This paper also explores prudential policy approaches and tools. In addition to the lack of taxonomy of “brown” vs “green,” the paper identifies the limitations to assess the risks involved in the transition to a low-carbon economy: supervisory reports that do not make full use of the existing international statistical framework (e.g. EU COREP and FINREP); lack of harmonized reporting requirements of environmental risks; lack of credit registers as tools to perform carbon stress-testing; and supervisors’ governance framework that do not internalize environmental risks (e.g. proposed revision of the Basel Core Principles of Banking Supervision). As per the stress-testing, the paper presents two examples. The paper presents a framework of analysis for the regulatory treatment of climate-related risks. The author identifies two critical elements of such framework if prudential regulation of environmental risks is to be considered: the consideration or not of climate risk as credit risk and the impact of environmental risks over probabilities of default over the entire business cycle.

No internationally accepted “official” taxonomy of high environmental risk sectors exists. This paper uses Moody’s (2015a) classification of sectors according to their environmental risk exposure. This paper’s exposures do not reflect the real risk exposure of these institutions and the banking industry as a whole because, as explained in Page 6, these values are without regard to bilateral loans and guarantees and securitizations of loans; in the case of loans to power generation companies, renewable sources are not excluding and, similarly, for the production of electric vehicles, loans are not excluded. Furthermore, this paper does not assess banks’ exposures to sovereigns subject to high environmental risks and bonds and equity issued by corporations operating in high environmental risk sectors.

Contribution to the present policy debate on how to regulate banks’ exposure to high environmental risk and how to manage the transition to a low-carbon economy.

This paper can increase awareness of the banking sector transition risks to a low-carbon economy.

This paper quantifies banks direct exposures to high environmental risk sectors using an ample definition of sectors exposed to environmental risk. The author suggests policy actions to assess the environmental risks. The author defines a regulatory framework for banks to internalize the negative externalities of environmental risks.

As the contradiction between economic development, resource and environment has become increasingly prominent, low-carbon competitiveness has received worldwide focus. This study aims to examine low-carbon competitiveness in 31 provinces (cities and regions) of China.

An evaluation index system for low-carbon competitiveness in China has been constructed, which is composed of 25 economic, social, environmental and policy indicators. To study the state of low-carbon competitiveness and resistance to China’ development of low-carbon competitiveness, this study uses a combination of the catastrophe progression model, the spatial autocorrelation model and the barrier method.

China’ low-carbon competitiveness gradually decreases from coastal to inland areas: the Tibet and Ningxia Hui autonomous regions are the least competitive regions, while the Shandong and Jiangsu provinces are the most competitive areas. The spatial correlation of the 31 provinces’ low-carbon competitiveness is very low and lacks regional cooperation. This study finds that the proportion of a region’ wetland area, the proportion of tertiary industries represented in its GDP and afforestation areas are the main factors in the development of low-carbon competitiveness. China should become the leader of carbon competitiveness by playing the leading role in the Eastern Region, optimizing the industrial structure, improving government supervision and strengthening environmental protection.

The paper provides a quantitative reference for evaluating China’ low-carbon competitiveness, which is beneficial for environmental policymaking. In addition, the evaluation and analysis methods offer relevant implications for developing countries.

This paper aims to explore true technical efficiency in order to select the most competitive manufacturing industries in China. And the paper intends to discuss how environmental variables measured by energy consumption affect performance in different industrial sectors under the restriction of low-carbon economy.

In order to measure the calculated efficiency of industrial sectors more accurately, Three-stage DEA model is presented in the empirical analysis using data from 2007 to 2010 covering 29 manufacturing industries in China. The advantage of using this method is enabling us to separate the managerial factor from external environmental factors and random errors factors on the technical efficiency.

The results using this Three-stage DEA model show that textile manufacturing sector has the highest technical efficiency, and when environment variables are not considered, efficiencies in machinery and electronics manufacturing industries have a significant increase. Moreover, this empirical model enables us to evaluate the technical performance in various manufacturing sectors more accurately.

This study provides a useful efficiency measurement tool (Three-stage DEA model) to calculate technical efficiency among different industrial sectors. Technical efficiency plays a key role in building the competitiveness of manufacturing industry. Based on the objective efficiency evaluation, the paper can make a better selection of the most competitive industries.

The paper contributes to the existing literature by developing a Three-stage DEA to examine the technical efficiency and competitive power of manufacturing sectors in China. This study has great policy implications for the research of China's manufacturing in both ideas and methodology.

Legislation plays a vital role in solving carbon emissions reduction and climate change issues. China began to implement a low-carbon economic policy in 2010, but the effect of the policy needs to be evaluated. Accordingly, this paper aims to discuss China’s low-carbon policy through exploring the following two questions, namely, whether the policy effect reaches the expected goal and whether the policy effects will balance economic development and emission reduction. Then, the paper puts forward suggestions for the improvement of China’s low-carbon policy.

This paper is organized around three distinct aspects of policy effect evaluation. This paper uses the synthetic control method to construct a policy effect evaluation model and conducts a quasi-natural experiment. The paper selects annual panel data from 2003 to 2015, which is selected from 33 provinces. A comparative analysis of carbon dioxide emissions, energy consumption and economic development between Hubei Province and Liaoning Province.

The results reveal that the implementation of the low-carbon pilot province policy in 2010 has a significant impact on the emission reduction effect of Liaoning Province, but the impact on the emission reduction effect of Hubei Province is not significant. The carbon emission trading system implemented in 2012 has reduced the emission reductions in Hubei Province and Liaoning Province has achieved better emission reduction effects after the implementation of this policy. After the implementation of the policy, the economic development of Hubei Province has been improved, but it has not brought help to the economic development of Liaoning Province. These findings provide new insights into the use of an emissions trading system for improving economic development and ultimately facilitate the attainment of the broader goal of sustainability.

This paper proposes an innovative policy effect evaluation method by considering the status of unit gross domestic product, fixed asset investment in the energy industry, energy consumption, emission reduction technology innovation and other evaluation indicators. This paper contributes to broadening current methods of policy effect evaluation in China.

Coordinating the relationship between economic development and environmental protection has emerged as a relevant issue in the economic and social development of China under the pressure of global climate change and international carbon emission reduction. Based on this, starting from the model of traffic structure and land use, land use planning for low carbon cities abroad was studied in this paper. Based on the analysis of urban ecological economic carbon cycle and its land regulation mechanism, the evaluation method of urban land use carbon effect was put forward. Taking the carbon circulation as the premise, starting from the layout characteristics of the urban land use factors, land use planning for urban residential, transportation, industrial and green land was optimized. Taking million springs Music City in Hainan as the example, the ecological planning layout was analyzed. And the planning was carried out from the aspects of spatial pattern, low carbon economy industry, green traffic, flood prevention and green landscape, etc. Urban carbon balance was realized. The results show that the carbon circulation and carbon consumption planning and management of the urban eco economic system based on land use structure optimization are conducive to promoting the development of urban low-carbon economy.

This paper aims to discuss the low carbon supply chain practices in China’s textile industry. To curb greenhouse gas emissions, the Chinese government has launched restrict regulatory system and imposed the energy consumption constraint in the textile industry to guarantee the achievability of low carbon economy. The authors aim to examine how the energy consumption constraint affects the optimal decisions of the supply chain members and address the supply chain coordination issue.

The authors conduct two case studies from Chinese textile companies and examine the impact of energy consumption constraints on their production and operations management. Based on the real industrial practices, the authors then develop a simple analytical model for a low carbon supply chain in which it consists of one single retailer and one single manufacturer, and the manufacturer determines the choice of clean technology for energy efficiency improvement and emission reduction.

From the case studies, the authors find that the textile companies develop clean technologies to reduce carbon emission in production process under the energy consumption enforcement. In this analytical model, the authors derive the optimal decisions of the supply chain members and reveal that supply chain coordination can be achieved if the manufacturer properly sets the reservation wholesale price (WS) despite the production capacity can fulfill partial market demand under a WS (or cost sharing) contract. The authors also find that the cost-sharing contract may induce the manufacturer to increase the investment of clean technology and reduce the optimal WS.

This paper discusses low carbon supply chain practices in China’s textile industry and contributes toward green supply chain development. Managerial implications are identified, which are beneficial to the entire textile industry in the developing countries.

The purpose of this work is to study the connections generated between stock market indices, representing firms whose practices focus on fighting climate change and several global risk factors in accordance with the sustainability objectives defined in the 2030 Agenda. An endogenous perspective is adopted, considering the spillovers generated within the low carbon stock market sector, as well as the latter’s exposure to exogenous shocks of an economic and financial nature.

This work uses a multivariate model of dynamic correlation (GARCH-corrected dynamic conditional correlation [cDCC]), which can accompany the correlations generated over time.

Considering five low carbon indices, representing various parts of the world, and four global macro-economic and financial variables, over a period of approximately eight years, it was possible to understand that the variables studied transmit between each other a statistically significant spillover. The period of the pandemic crisis shows a sharp increase in the information transmission process. It was also possible to conclude that some global variables are risk factors, performing the role of transmission channels for the spillover effects to low carbon indices, increasing the risk of contagion and reducing the possibilities of diversifying the investment portfolio.

Firstly, this work analyses the connection and spillover effects between low carbon indices. Secondly, considers an extended sample covering different market phases, particularly that of the pandemic crisis and the Ukrainian War, creating conditions to compare connection patterns between those indices. Thirdly, it studies the variable influence over time of global risk factors in the transmission of spillover between low carbon indices.

This paper aims to build a scientific evaluation index system for regional low-carbon circular economic development. Taking Sichuan Province as the empirical research object, the paper evaluates its low-carbon circular economy (LCCE) development level and proposes policy recommendations for climate change improvement based on the evaluation results.

This paper, first, built an evaluation index system with 30 indicators within six subsystems, namely, economic development, social progress, energy consumption, low-carbon emissions, carbon sink capacity and environmental carrying capacity. Second, develop an “entropy weight-grey correlation” evaluation method. Finally, from a practical point of view, measure the development level of LCCE in Sichuan Province, China, from 2008 to 2018.

It was found that Sichuan LCCE development had a general downward trend from 2008 to 2012 and a steady upward trend from 2012 to 2018; however, the overall level was low. The main factors affecting the LCCE development are lagging energy consumption and environmental carrying capacity subsystem developments.

This paper puts forward relevant suggestions for improving the development of a low-carbon economy and climate change for the reference of policymakers.

This paper built an evaluation index system with 30 indicators for regional low carbon circular economic development. The evaluation method of “entropy weight-grey correlation” is used to measure the development level of regional LCCE in Sichuan Province, China.