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Abstract Most existing studies on environmental regulations and the location dynamics of pollution-intensive industries regard new environmental procedures as an incremental development process, and neglect the influence of sudden changes in environmental regulations triggered by a pollution crisis. Using the drinking water crisis in the Taihu Lake Watershed (TLW) in 2007 as an example, this paper examines the spatial behavior of pollution-intensive firms across the TLW, and pays special attention to the regional differences in the effectiveness of enforcing environmental regulations. We find that the pollution haven hypothesis works efficiently in the short term after an unexpected pollution crisis because of the immediate strengthening of environmental regulations by local governments under pressure from the central government and the public. However, the effect of strict environmental policies was compromised by differences in the effectiveness of policy enforcement across the watershed. Specifically, when other regions (for example, Huzhou) were compared with Wuxi (the site of the crisis in the present study), these regions were found to be relatively insensitive to the effects of the pollution incidents and the environmental regulations that were triggered. Highlights • This paper examines spatial behaviors of pollution-intensive firms across the Taihu Lake watershed in response to the water crisis. • The paper pays special attention to the regional difference in enforcement effectiveness of environmental regulations. • Pollution haven hypothesis works efficiently in the short run. • The effect of stringent environmental policies was compromised by differences in policy enforcement effectiveness. [ABSTRACT FROM AUTHOR]

Abstract: A number of empirical methods have been developed to study China's sectoral carbon emissions (CSCE). Measuring these emissions is important for climate change mitigation. While several articles have reviewed specific methods, few attempts conduct a systematic analysis of all the major research methods. In total 807 papers were published on CSCE research between 1997 and 2017. The primary source of literature for this analysis was taken from the Web of Science database. Based on a bibliometric analysis using knowledge mapping with the software CiteSpace, the review identified five common families of methods: 1) environmentally-extended input-output analysis (EE-IOA), 2) index decomposition analysis (IDA), 3) econometrics, 4) carbon emission control efficiency evaluation and 5) simulation. The research revealed the main trends in each family of methods and has visualized this research into ten research clusters. In addition, the paper provides a direct comparison of all methods. The research results can help scholars quickly identify and compare different methods for addressing specific research questions. [ABSTRACT FROM AUTHOR]

To mitigate climate change and achieve sustainable development, Chinese governments have introduced "1+N" "dual-carbon" policy system aimed at reducing CO 2 emissions, transforming energy structures and controlling pollution. An effective policy mix and synergy is crucial for achieving the emission reduction targets and for ensuring the effectiveness of the policies, and it is therefore of great practical importance to provide a pathway for policy synergy based on assessing policy effectiveness. This paper selects three policies, namely the carbon Emission Trading System (ETS), Coal Control and Clean Utilization (CCCU), and Green Financial Reform and Innovation Pilot Zone (GFPZ), sets up ten scenarios, adopts difference-in-differences (DID) models to evaluate the impact, and give a pathway for policy synergy. The results show that ETS, CCCU, and GFPZ policies have significant positive effects on carbon emission reduction, energy structure transformation, and industrial environmental pollution control, respectively; CCCU has synergistic effects with ETS and GFPZ policies in controlling coal consumption and increasing the completion of industrial pollution control investments, respectively; while GFPZ policies have conflicting effects with CCCU and ETS in reducing carbon emissions and coal consumption, the GFPZ policy has conflicting effects with CCCU and ETS in reducing carbon emissions and controlling coal consumption. Finally, the study proposes a phased policy support system around carbon emission reduction in the power generation industry, energy structure transformation, and industrial environmental pollution control before 2030 and from 2030 to 2060. [ABSTRACT FROM AUTHOR]

This paper matched the data for all non-financial listed firms in China from 1990 to 2017 with weather data and used temperature and precipitation to represent climate change. Using daily temperature and daily precipitation data, we constructed temperature bins and precipitation bins. This study presents a potential first empirical analysis that applies the risk perception theory to comprehensively examine the impacts of daily temperature and daily precipitation on firms' debt financing costs. Compared to a day with a suitable temperature, a day with temperatures above 30 °C increases firms' debt financing costs by 0.2411%. Compared to a sunny day, a day with torrential rain increases firms' financing costs by 0.2697%. Approximately $122.13 million and $20.49 million in extra costs were incurred across all firms in 2017. We conducted a series of heterogeneity tests. We found that the negative impacts of climate change on debt financing costs are greater for firms that investor considers more vulnerable. Finally, we found two possible mechanisms. First, from the firm's subjective initiative perspective, firms that respond proactively during seasons of high temperatures and heavy rains can reduce the negative impacts. Second, adverse weather caused by climate change may also increase firms' debt financing costs by blocking travel. These results enrich the literature on firms' debt financing costs and contribute to the understanding of climate change's impact on firms. [Display omitted] • An extra high-temperature day increases firms' debt financing cost by 0.2411%. • An extra heavy-rain day increases firms' debt financing costs by 0.2697%. • The negative impacts will be greater for those firms that investor considers more vulnerable. • Firms' response proactively can reduce the negative impacts. • Climate change also may increase firms' debt financing costs by blocking travel. [ABSTRACT FROM AUTHOR]

Abstract Energy/emission intensity indicators measure the relationship between economic development and climate change. These intensity indicators are preferentially used in assessment criteria for mitigation goals in places such as China. This paper investigates the driving factors of changes in the national CO 2 emission intensity and their contributions to reductions at the sector level in China from 2002 to 2012 using multiplicative structural decomposition analysis (SDA) and attribution analysis. Both Leontief and Ghosh input-output models are used in the study. The empirical results indicate: 1) the energy intensity effect is the main driver that decreases the aggregate emission intensity from both the demand and supply sides; 2) structural effects, such as the energy structure effect and domestic Ghosh structure effect, promote the increase in aggregate emission intensity principally; and 3) to a large extent, sector "smelting and pressing of metals", "manufacture of non-metallic mineral products" and "chemical industry" are the top three sectors that contribute to the negative energy intensity effect. Ultimately, several discussions and conclusions associated with the empirical results, result stability and research extensibility are presented. Highlights • Both Leontief and Ghosh models were adopted to study China's CO 2 intensity. • Multiplicative decomposition was applied to study the intensity changes in 2002–2012. • Energy intensity effect was the major drivers to reduce China's emission intensity. • The structural effects as a whole contributed to the increase of emission intensity. • The domestic allocation structure can be adjusted and optimized preferentially. [ABSTRACT FROM AUTHOR]

Despite rapid economic development, the transport industry has been claimed to account for a major part of climate change. This paper investigates total factor carbon-sensitive productivity growth in the regional transport sector in China and decomposes its dynamic changes over time taking account of the regional heterogeneity of different provinces. Thus, the contemporaneous metafrontier Malmquist-Luenberger approach that combined with non-radial directional distance functions is proposed and define a new indicator called the contemporaneous metafrontier Malmquist-Luenberger carbon emission performance index (CMML). This total factor indicator includes the metafrontier efficiency-change index (MEC), the metafrontier technology-change index (MTC), and the metafrontier technology-gap-change index (TGC). Results show an about 4% increase in overall total factor carbon emission productivity during the period of 2000–2012. Different growth patterns are also observed in the transport sector across different area of China. In the eastern region, the growth of carbon productivity is driven mainly by pure efficiency changes, whereas the central region is driven mainly by innovations in the low-carbon transport technology. [ABSTRACT FROM AUTHOR]

A comprehensive GHG inventory provides an overview and the information of sources of emissions, and can serve as a sound scientific basis for mitigation actions. This study was the first initiative to develop a complete and transparent GHG inventory of Beijing, to document the current situation and to help governmental officials to clarify their priorities for reducing GHG emissions. The authors investigated and calculated the emission sources defined by the GPC, and assessed data accuracy. The contents of the detailed inventory were documented and are open for research verification and for methodological references for other cities. The results showed that three emission sources, i.e. CO 2 emissions from fossil fuel consumption, CO 2 emissions from industrial production and CH 4 emissions from landfills, contributed 97% of Beijing's GHGs. Considering the problem of missing data and low data quality, the authors suggested that instead of seeking to compile a complete inventory, Chinese cities should first report their GHG emissions from these sources, while improving the data quality for the long run. The authors anticipate that the findings reported in this paper will help to strengthen city-level GHG inventory research in China and throughout the world. [ABSTRACT FROM AUTHOR]

The agricultural sector is extremely vulnerable to climate change and also plays a very important role in the operation of the entire economic system, leading many studies to evaluate the possible agricultural direct economic damage (ADED) of climate change. However, this damage may have an amplification impact through the intricate industrial linkages that exist among sectors, and this impact may be even greater than the original damage. Therefore, to elucidate the economic cascading effect (ECE) in China caused by ADED and industrial linkage, this paper used the ARIO model to evaluate the total ECE and analyse the differences in the 19 sectors by taking the ADED under future annual mean temperature (AMT) increases of 1–5 °C as the input condition and adjusting the exogenous parameters to enhance the adaptability of the model; the goal was to assess the economic impact of climate change in China. The results show that (i) there is a significant amplifying impact of ECE due to industrial linkage under the influence of warming, ECE will be 4.24–5.25 times that of ADED, and the total economic impact (ADED + ECE) will exceed the GDP of the Chinese capital of Beijing in 2012 when the AMT increases by 1.5 °C, while it will exceed one tenth of China's GDP when it increases by 4 °C. (ii) Manufacturing will be the sector most affected by the industrial linkage under ADED, which accounts for 26.58% of total ECE, followed by agriculture (10.39%) and construction (8.5%). (iii) The decrease in cultivated land area will have a significant impact on the economy; when it is reduced to the minimum demand (1.41% less than 2012), ADED increases by 1.65 times and ECE increases by 2.35 times. This paper aims to provide a new perspective from which to evaluate the economic impact of climate change by studying ECEs behind sectoral interactions. [ABSTRACT FROM AUTHOR]

New developments in consumption-based emissions accounting suggest that the reductions claimed by wealthy, environmentally progressive nations have often come at the expense of increased emissions elsewhere – and thus net growth in global GHG concentrations. This paper traces Sweden's attempts to translate growing recognition of displaced emissions into national environmental policy. Drawing on multi-sited ethnographic research and policy analysis in Sweden and China, we argue that while the logical implications of consumption-based analyses point to the need to address production and consumption as an integrated system, complex governance challenges and the political precariousness of these ideas have thus far limited policy to the reinvention of consumer awareness campaigns and an international extension of long-standing ecological efficiency efforts. We argue that consumption-based emissions indicators justify more ambitious demand-side policy response. [ABSTRACT FROM AUTHOR]

The 2015 Paris climate change negotiations represents the most ambitious worldwide effort to date to combat climate change. As the largest energy consumer and carbon emitter, China pledges 60–65% cut in carbon intensity below 2005 levels by 2030. To accelerate China's climate efforts, China has also committed to cap its primary energy use at 4.8 billion tons of coal equivalent in 2020. This paper proposes an equitable and efficient scheme to disaggregate this national goal among provinces. A three-step disaggregation procedure is proposed which takes into account the initial allocation, national redistribution and inter-provincial adjustment. First, this study allocates the incremental energy quota, taking 2010 as the base year. Second, part of the energy quota is set aside by the central government for redistribution purposes, while an incremental energy quota index comprising equity and efficiency criteria is used for initial allocation among provinces. Finally, historical efforts and inter-provincial energy flows are considered for inter-provincial adjustment. This disaggregation scheme is flexible and can be easily extended to allocation and management of other resource and environmental targets. The empirical findings can assist decision-makers in identifying which provinces are likely to over-consume the energy quota relative to the proposed allocation and which provinces are likely to perform better in energy conservation. Moreover, the results show that the energy cap set for 2020 is unachievable without further action. Market-based instruments, such as an energy allowance trading market, are strongly recommended to achieve the energy use target in an equitable and cost-effective manner. [ABSTRACT FROM AUTHOR]

Under the Kyoto Protocol's Clean Development Mechanism (CDM), countries worldwide co-operate on encountering climate change by emissions trading, which enables a win–win situation by effectively “regenerating” a cleaner environment in developing countries, whilst efforts in developed countries may still not meet their committed targets of carbon reduction. According to the CDM rules, energy efficiency improvement projects in the building sector are valid for emissions trading. Although the potential saving of energy is significant, there is only a limited number of building projects being registered as CDM projects. This paper explores the applicability of CDM in the building sector by reviewing the implementation of CDM and its advantages and disadvantages. Hong Kong was selected for an in-depth study due to its eligibility for CDM and yet non-starter status. According to a questionnaire survey supplemented by interviews with the stakeholders in this study, major hindrances such as the lack of financial incentive, inadequate knowledge about emissions trading and insufficient governmental support were found in potential CDM projects in the building sector. It is recommended that an inter-city emissions trading market covering mainland China and Hong Kong, and suitable emission reduction targets should be established and led by the government at the initial stage. By setting up an emission exchange centre, local emissions trading activities could be facilitated and job opportunities could be created. In addition to conducting emissions trading, Hong Kong may also contribute to emissions trading in the region by making use of its highly skilled professional services and efficient business environment. This study paves the way for a densely built city such as Hong Kong to benefit environmentally and economically from a cleaner region in its vicinity. [ABSTRACT FROM AUTHOR]

This article is concerned with a comprehensive analysis of building energy efficiency policies in light of improvements in energy performance, living standards and climate change mitigation in China's built environment. In recent years, China has added about 1.7 billion square meters of new floor space in both urban and rural areas on an annual basis. In 2010, the total area of existing buildings in China was approximately 48.6 billion square meters, nearly twice the total of existing buildings areas in the European Union. How to improve energy efficiency in the soaring number of new buildings and accelerate the retrofit of the huge number of existing buildings are two daunting challenges currently facing China in terms of energy security and climate change mitigation at a global level. China has gradually altered the building energy efficiency policy portfolio, from a purely regulatory approach with a mandatory building code at the initial stage to voluntary green buildings initiatives. This paper is structured as a critical assessment of building energy efficiency policies for new and existing buildings. Both strengths and weaknesses of the implemented energy efficiency policies are detailed in each of the studied areas. It also discusses the dilemma of public games in green and sustainable buildings production in the context of Chinese economic development and societal transition. The analysis emphasises the importance of guaranteeing the consistency between policies in the current regulatory framework to maximise the effectiveness of energy efficiency policies in the built environment in China. For this, it is necessary to articulate building energy efficiency policies implementation and broader energy and climate policies. This integrative study provides both a retrospective assessment and prospective direction of building energy efficiency policy development in China. [ABSTRACT FROM AUTHOR]

Universities, the important locations for scientific research and education, have the responsibility to lead ecological civilization and low carbon transition. Ecological footprint evaluation (EFE) is usually used to measure sustainability of campuses. Although it can provide guidance and reference for overall campus planning, it lacks effective significance for individual behavior, especially when the reduction of carbon emissions is the aim. On the other hand a possible solution can be represented by machine learning. It can identify the key factors that will influence individual's overall carbon emissions caused by students' daily behavior, it can be used to find effective ways to reduce individual carbon emissions. This paper applied EFE and machine learning to comprehensively evaluate campus sustainability and students' carbon emissions. Huazhong University of Science and Technology (HUST), a "University in the Forest", was used as a study case in China. Even if HUST is endowned with a forest coverage of 72%, here we showed that its Ecological Footprint Index was −12.52, indicating strong unsustainability. This is mainly due to the high energy and food consumption, caused by the large population living in the campus and the lacking of energy saving measures. The per capita ecological footprint was relatively high, compared with other universities in the world, which meant more efforts needed to be done on ecological sustainability. Low carbon emission is a key feature for a sustainable campus. Based on the questionnaire survey delivered to 486 students who live in the campus, their daily active data were collected in terms of students' personal clothing, food, housing, consumption and transportation. And their associated carbon emissions were calculated based on emission intensities of Chinese population. Based on 486 detailed datasets, machine learning was then used to identify the key daily behavior to influence students' total carbon emission. Results showed that making behavior changes in air conditioning, food and electric bicycle were the most effective ways to reduce carbon emissions. Finally, while effective suggestions were proposed based on qualitative and quantitative evaluations, it is concluded that it is imperative for universities in China to formulate effective low-carbon policies, to achieve sustainable development and to confront global climate change. • A review of main initiatives of sustainable campus construction worldwide. • An evaluation combining campus ecological footprint and individual carbon footprint. • The ecological footprint of "China Forest University" reflects unsustainable. • Machine learning identifies internal driving force of campus carbon emissions. • Targeted guidelines on campus low-carbon construction are provided. [ABSTRACT FROM AUTHOR]

Biomass power is one of the most important renewable energy sources in China. In order to provide a reference for China's biomass power planning, this paper builds a power sector-planning model using the Long-range Energy Alternatives Planning System (LEAP). The results show that in the base scenario, the installed capacity of agricultural and forestry residues, municipal solid waste and biogas will increase to 22350 MW, 21150 MW, and 4900 MW, respectively by 2030. From the point of view of total volume, biomass supply is not a constraining factor for biomass power source. However, there are some social and economic factors that impede the development of the biomass power industry, some of which may not be addressed in the short term. Therefore, the development of the biomass power industry in China is a long-term process. Some policy suggestions were proposed, including reasonable planning and more subsidies for biomass supply value chain. • An optimal power-planning model focused on bio-energy in China was developed. • Agricultural and forestry power, waste power and biogas power were all analyzed. • Social and economic factors that impede biomass power were investigated. [ABSTRACT FROM AUTHOR]