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Global warming has aroused the attention all over the world, because not only can it directly damage the living environment, but it can also impact on the social and economic development, of a region in an obvious and far-reaching way. In this paper, we builded a trans-log production function model incorporating variables, such as rainfall, labor force, technology and temperature to simulate how climate changes impacted on the regional economics. Time series data of the domestic economy of Nanjing, a city in the southeast China, between 1996 and 2017, were used to verify the production theory of trans-log production frontier. The results showed that: with the rainfall increased and the temperature declined, the climate impact on the economy and the absolute value of the output elasticity of the frontier diminished. In addtion, the climate change was also positively related to the capital investment. The larger variation of temperature negatively impacted on the economic development. • This paper builds a trans-log production function model. • Time series data are used to verify the production theory of trans-log production frontiers. • Analyzing the effect of climate change on the regional economy. • The larger variation of temperature negatively impacted on the economic development. [ABSTRACT FROM AUTHOR]

Abstract Cities do play significant roles in tackling global environmental changes. Decoupling economic growth from environmental pressures is critical for global sustainable development, however, few studies pay attention to the decoupling analysis at city level. This paper conducts a comparative study of the decoupling performance of economic output from CO 2 emissions between Beijing and Shanghai, the top two cities in China. In this paper, the decoupling trends and the decoupling effects are explored from a sectoral perspective, by combining the Tapio decoupling elasticity and the logarithmic mean Divisia index (LMDI) model. The results show that Beijing and Shanghai both experienced weak decoupling in construction, expansive negative decoupling in transport, expansive coupling in trade, and weak decoupling in others over the period 2000–2015. Moreover, agriculture appeared strong decoupling in Beijing, and recessive decoupling in Shanghai; industry showed strong decoupling in Beijing, and weak decoupling in Shanghai. The decoupling effects showed different magnitudes and patterns in industrial sectors between Beijing and Shanghai. Overall, per-capita GDP and population growth inhibited the decoupling, while energy intensity, industrial share, energy mix accelerated the decoupling process. Highlights • The decoupling of sectoral economic output from carbon emissions in Beijing and Shanghai are investigated. • Beijing's industry enjoyed better decoupling performance than Shanghai's industry. • Transport should be put more emphasis in further decoupling efforts. • Energy intensity is crucial effect accelerating the decoupling process. [ABSTRACT FROM AUTHOR]

Under the background of the gradual scarcity of terrestrial resources and the increasingly fierce competition for global marine resources, the task of green development of marine economy and green transformation of marine industry is imminent. Carbon finance is a product of low-carbon economic development and a derivative of green finance. It is an effective way to alleviate the global climate crisis and promote the transformation of the global economy to a low-carbon economy to achieve sustainable development. Studying the mechanism of carbon finance on the development of marine economy will help to grasp the influencing factors of the green transformation of the marine industry in an all-round way, better promote the sustainable development of China's marine economy, and realize the strategy of marine power at an early date. Based on this, this paper selects China's data from 2006 to 2020, and uses the AHP-entropy method to select 26 indicators from five levels: economic growth, energy conservation and emission reduction, marine ecology, structural adjustment and scientific and technological innovation to construct a comprehensive evaluation index system for the green transformation of China's marine industry. Based on the PLSR model, the impact of carbon finance on the green transformation of China's marine industry is empirically analyzed, and the results show that: (1) The comprehensive score of China's marine industry green transformation from 2006 to 2020 fluctuates and rises: from 2006 to 2009, the comprehensive score of China's marine industry green transformation is low, and the transformation effect is not obvious. From 2009 to 2012, the comprehensive score of green transformation of the marine industry improved significantly. From 2012 to 2018, the comprehensive score of China's marine industry green transformation fluctuated little and showed a slow growth trend, while China's marine economic transformation grew steadily at a low speed. In 2019–2020, due to the impact of the epidemic, the speed of transformation has decreased again. (2) The carbon ratio and the green credit balance of commercial banks have a role in promoting the green transformation of China's marine industry, while the carbon trading volume and carbon intensity have a restraining effect on the green transformation of China's marine industry. From the perspective of effect, carbon intensity has the strongest effect, followed by carbon ratio, carbon trading volume is slightly weaker, and the role of green credit balance of commercial banks is the weakest. Based on the research conclusions, relevant policy recommendations were put forward. [ABSTRACT FROM AUTHOR]

An adequate response to global climate change and low carbon economy development has become a worldwide concerned subject. As one of the energetically most intensive industries, construction industry is a key area to promote decarbonization, which is an important path to realize national strategic goals on carbon reduction in China. This paper focuses on low carbon technology integration management, and analyzes the existing research status of green building or low carbon buildings on the related evaluation indexes, then proposes an evaluation system framework for the low carbon technology integration innovation from the perspective of the system management. It points out, that t he evaluation of low carbon technology innovation should be conducted by a smarter managing of system resource input, the process control and the system comprehensive performance as an output . Furthermore, based on the questionnaire survey and the exploratory factor analysis result on the selected indexes, this paper implements a rough set method to identify the weight of all the indexes and found that:(1) managers focus more on the affordable input of the beginning stage and the management control in the middle period of the innovation, instead on the output performance in the later stage . This indicates, that the management control during the front stages is more essential than this during the later ones; (2) the constructed evaluation framework, from the system perspective, can properly reflect the integrity, multi-level stakeholder structure and technology integration in low carbon projects , which could support the decision-maker into considering the complexity of construction and evaluation of the technology innovation performance from multi-level perspective; (3) the combined methods, adopted with exploratory factor analysis and rough set evaluation to determine the evaluation index and its weights, could well reflect the overall performance of low carbon project evaluation, the selected indicators have certain scientific and practical effectiveness , which could provide references for enterprise on LCT innovation management. as an industry with a multi-level technologies integration, the single Technological adoption or innovation cannot satisfy the economic transformation requirements of the modern construction industry development. An integration innovation management evaluation model is needed for the sustainability evaluation in the construction practice. Its development is the main scientific objective of this study, by taking into consideration the entire life cycle assessment and various other factors. [ABSTRACT FROM AUTHOR]

The development of renewable energy is the key to deal with climate change and low-carbon economy development in China. Here, based on a balanced panel dataset of 30 provinces in China cover the period of 1996–2013, this paper explores the effect of economic growth, CO 2 emissions, foreign trade (exports or imports) and urbanization on renewable energy consumption at the national and regional levels by using a dynamic system-GMM panel model. The empirical results show that the influence of economic growth, CO 2 emissions, foreign trade and urbanization on the renewable energy consumption is heterogeneous across regions. First, economic development has an important positive impact on renewable energy consumption in the four panels we consider and the impact is the greatest in the eastern region, follows by the national, central and western regions. Second, CO 2 emissions have a significant positive impact on renewable energy consumption in the central and national regions. However, CO 2 emissions have a weak negative impact on the consumption of renewable energy in the eastern region, and have no impact in the western region; Third, per capita exports are found to have a positive effect on the renewable energy consumption, with the greatest impact in the central region, followed by the eastern and national regions and have a weak negative impact in the western regions; Fourth, per capita imports have a negative effect on renewable energy consumption in the eastern, western and national regions and have a weak positive effect in the central region; Finally, the changes in the urbanization level significantly affect the renewable energy consumption in the four panels we consider and the impact is the greatest in the eastern region with high level of urbanization, follow by the central and western regions. On the basis of this study, we put forward the corresponding countermeasures and suggestions to achieving sustainable development in China. [ABSTRACT FROM AUTHOR]