Article
Environmental Sciences
Weiwei Huang, Yueyi Li, Hui Li
Summary: This study examines the status of embodied energy consumption in China and the regional disparities, finding that economic scale is the primary driving factor of energy consumption changes, while technological development has a noticeable effect on energy consumption. Policy recommendations are proposed to optimize industrial structure and strengthen regional energy technology improvement.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Bin Su, B. W. Ang, Yu Liu
Summary: This paper discusses spatial aggregation issues in the MRIO model and presents an empirical study on regional embodied emissions. The study finds that spatial aggregation has a greater impact on sectoral results than regional results, which is significant for regional emission studies.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Economics
Bin Su, B. W. Ang, Ya-Fang Sun
Summary: The study finds that data treatment of imports has insignificant impacts on emission changes at the national level but significant impacts at the sectoral level. The sign change of the input imports effect or demand imports effect can lead to opposite outcomes in emissions.
Article
Economics
Junna Yan, Yingzhu Li, Bin Su, Tsan Sheng Ng
Summary: The research found that China's energy use exhibits significant regional characteristics, with the Eastern region making the largest contribution. Regional energy use is significantly influenced by investment, consumption, and exports, and is also impacted by sectoral energy intensity and domestic production structure.
Article
Green & Sustainable Science & Technology
Yiqi Tan, Yihan Wang, Yupeng Hu, Zongguo Wen, Vorada Kosajan, Kaixuan Zheng
Summary: Assessing plastics usage and driving forces is crucial for mitigating their environmental impact. Current research lacks assessment of plastics usage in the upper supply chain, leading to misconceptions about efficiency and subpar policy design. In this study, an Environmental Extend Input-Output Model is used to evaluate plastics usage in China, finding that embodied plastics consumption is significant and import in this form is 5.3 times higher than direct import. Additionally, the study identifies the unexpected high consumption of plastics in the Public and Other Services Sector and a shift in consumption patterns towards service-oriented industries.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Qiang Wang, Xiaoxin Song
Summary: The decline in coal consumption in the UK was driven by a combination of energy transition and outsourcing effects, with the success partly due to transfers to other countries. However, technological improvements also played a role in improving energy intensity and achieving higher gross domestic production with less energy consumption.
Article
Environmental Studies
Decun Wu, Guangzhu Wu, He Yang
Summary: Studying the production intensity of ecological footprint is crucial in the ecological compensation strategy for designated industries, especially in identifying high-polluting industries. Environment-extended input-output (EE-IO) tables are useful for analyzing pollution and land occupation within economic sectors. By using ecological footprint (EF) and input-output tables (IOTs), this study analyzed China's EFPI and its flow among sectors in 2005, 2010, and 2015. The results showed a downward trend in the average total pollution coefficient (TPC) component and net embodied EFPI transfers from 2005 to 2015. The electricity, heat, gas, and water sector (S11) and the agriculture sector (S1) had significant contributions to TPC and net embodied EFPI transfers. Recommendations were made to impose an ecological tax and control high-EFPI industries for optimization.
Article
Economics
Yuwan Duan, Bingqian Yan
Summary: This study examines the impact of processing trade on China's regional CO2 emission intensity of exports from 2002 to 2012. It is found that processing exports played a significant role in making China's exports dirtier in the first period but helped them become cleaner after the crisis. The input structure reflected by the inter-industry production linkage is identified as the main reason for the different performances of EIEs in the two periods.
Article
Green & Sustainable Science & Technology
Qiang Wang, Yi Liu
Summary: India's energy scenario has long been plagued by deficit, security threats, and low efficiency, and the key to solving this dilemma lies in developing renewable energy supply. The study identifies that India's consumption of renewable energy is dominated by domestic consumption, but international trade is playing an increasingly important role. Developing countries have a greater contribution to India's renewable energy consumption, and India should focus on cooperation with these countries to increase efficiency and consumption of renewable energy.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Haiyu Long, Rui Xie, Chao Gao, Meng Sun, Bin Su
Summary: Analyzing the factors that affect spatial differences in production water consumption in China is crucial for effective water resource management. Economic scale and regional characteristics were found to be the main factors influencing production water consumption.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Arun Kumar Dwivedi, Archana Soni
Summary: Developing countries like India play a critical role in achieving global climate targets. This study analyzes the carbon emissions in the global value chains that contribute to India's consumption-based emissions. The findings show that India's consumption-based emissions have significantly increased between 2000 and 2016, with per capita consumption having a greater impact than population growth. Improvements in energy efficiency and structure have helped reduce domestic emissions, and imports have become a significant contributor to consumption-based emissions.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Thermodynamics
Guanfei Meng, Hongxun Liu, Jianglong Li, Chuanwang Sun
Summary: This study reveals that China's energy consumption is mainly influenced by factors such as energy flow between regions, growth of residents' income, and technological advancement in industry sectors. During the periods of 2002-2007 and 2007-2012, the growth of residents' income contributed to an increase in energy consumption by 106.7% and 169.8%, while technological advancement in non-industry sectors led to a decrease in energy consumption.
Article
Environmental Studies
Hanzhong Zheng, Linyu Xu, Weiqing Lu, Jingjing Huang, Bowen Sun, Yuqi Dai, Zhifeng Yang
Summary: Cross-regional trade has a significant impact on PM2.5 emissions and residents' happiness. This study investigates the reallocation of PM2.5 emission flows through trade and its impact on happiness. The results show that a large portion of PM2.5 emissions is driven by demands and inputs from other provinces, which reduces local residents' happiness. Consumption-based PM2.5 emissions are less unequal compared to production- and income-based emissions, indicating that the regional distribution of PM2.5 emissions in China is exacerbated by production- and income-based factors.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Article
Engineering, Environmental
Sho Hata, Keisuke Nansai, Kenichi Nakajima
Summary: The formation of fixed capital is vital for managing material use and carbon emissions, especially in the service sector. It is necessary to break the stimulus to fixed-capital formation in order to curb material use and carbon emissions.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Energy & Fuels
Youmeng Wu, He Huang, Jingke Hong, Xianzhu Wang, Yidong Wu, Yanbo Wu
Summary: This article analyzes the evolution patterns of China's energy use in trade, showing that some provinces export embodied energy while others import. Energy consumption changes are mainly influenced by energy coefficients and per capita demand. The economic structure of provinces has a significant impact on energy consumption.
Article
Green & Sustainable Science & Technology
Qiang Wang, Lili Wang, Rongrong Li
Summary: This study investigates the decoupling impact of trade on carbon emissions and explores the circumstances under which trade can contribute to decoupling carbon emissions. A combination of the Tapio decoupling model and structural threshold model is used to analyze and quantify the impact. The empirical study utilizes panel data from 124 countries worldwide from 2000 to 2018. The results indicate that the relationship between trade openness, economic growth, and carbon emissions primarily exhibits weak decoupling. Additionally, there are two breakpoints in the impact of trade openness on carbon emissions; once these structural breakpoints are exceeded, trade openness inhibits carbon emissions and contributes to global carbon neutrality, contradicting the claims of trade protectionists. At the sub-regional level, trade openness favors carbon neutrality in affluent countries but not in impoverished countries. Therefore, achieving carbon neutrality necessitates free trade, and fairer free trade should benefit countries of different income groups.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2023)
Article
Regional & Urban Planning
Qingfang Wang
Summary: This study examined the experiences of Latina-owned businesses (LaOBs) in coping with the COVID-19 pandemic in inland Southern California using an evolutionary resilience perspective. The findings revealed that the short-term crisis attributed to COVID-19 is rooted in long-term underinvestment in entrepreneurship and business development in underserved communities. Socioeconomic vulnerability at both the individual and community levels affects LaOBs' resilience, which is also influenced by pre-pandemic networking and institutional structures. Continuous investment in technology, education, and social network building in underserved communities, as well as fostering an inclusive entrepreneurship ecosystem, is necessary to build preparedness and resilience among racial and ethnic minority-owned businesses.
JOURNAL OF THE AMERICAN PLANNING ASSOCIATION
(2023)
Article
Environmental Studies
Qiang Wang, Chen Zhang, Rongrong Li
Summary: This study aims to measure the intertemporal financial efficiency of emerging economies and investigate the impact of financial development on energy efficiency. The findings suggest that the effect of financial efficiency on energy efficiency is related to the industry allocation of financial institutions. Enterprises in technology-intensive industries contribute significantly to the profits of financial institutions and their products and achievements contribute to energy consumption reduction and energy efficiency improvement. Furthermore, rising levels of wealth holdings among residents indirectly promote energy efficiency.
MANAGEMENT OF ENVIRONMENTAL QUALITY
(2023)
Article
Environmental Sciences
Qiang Wang, Lejia Li, Rongrong Li
Summary: Income inequality and carbon emission efficiency are crucial factors in achieving UN sustainable development goals. However, research on the relationship between these two factors has been lacking. This study uses panel data from 139 countries between 1998 and 2018 to explore how income inequality affects carbon emission efficiency, considering the influence of aging and economic growth. The results indicate that income inequality inhibits the improvement of carbon emission efficiency and that the relationship between income inequality and carbon emission efficiency is influenced by aging and economic growth, showing U-shaped and inverted U-shaped patterns respectively. Policy recommendations are provided based on the changes in spatial and temporal distributions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Construction & Building Technology
Qiang Wang, Sailan Hu, Lejia Li, Rongrong Li
Summary: This study examines the relationship between income inequality and energy efficiency using static and dynamic threshold effect approaches based on panel data of 78 countries. The results show a positive correlation between income inequality and energy efficiency, which weakens when urbanization and industrialization levels exceed certain thresholds. Additionally, urbanization plays a larger role than industrialization in reducing the correlation between income inequality and energy efficiency. Therefore, accelerating urbanization, particularly industrialization, can help reduce income inequality without sacrificing energy efficiency.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Management
Qiang Wang, Min Zhang, Rongrong Li
Summary: This study undertakes a systematic analysis of the supply chain literature to uncover the changes and patterns of international cooperation during the COVID-19 pandemic. The results show that the growth rate of international cooperation in supply chain research during the pandemic has increased compared to pre-pandemic periods. The study also reveals the strong partnership between China and the USA in supply chain research.
BENCHMARKING-AN INTERNATIONAL JOURNAL
(2023)
Article
Environmental Studies
Qiang Wang, Xiaoli Yang, Rongrong Li
Summary: This work examines the impact of intellectual property income on energy efficiency, taking into account the mediation role of trade openness. Using data from 50 countries between 2000 and 2019, the study analyzes the influence of intellectual property income and trade openness using regression methods. The results show that intellectual property income not only directly affects energy intensity but also indirectly influences it through trade openness. There are regional differences in this mediation effect, benefiting high-income countries more than middle-income countries. Policy implications for reducing energy intensity are provided for countries at different income levels.
ENERGY & ENVIRONMENT
(2023)
Article
Environmental Studies
Qiang Wang, Lili Wang, Rongrong Li
Summary: This study investigates the impact of the COVID-19 pandemic on pollutants at different temperatures in Hubei, China. A panel nonlinear model with autonomous search thresholds is utilized to explore the relationship between the cumulative number of confirmed cases and PM2.5. Results reveal a negative non-linear relationship between the two variables, with a more detailed analysis provided by the panel threshold regression model. The study provides valuable insights into the effect of COVID-19 on pollution at varying temperatures and offers a methodological reference for studying their nonlinear relationship.
ENERGY & ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Qiang Wang, Ting Yang, Rongrong Li
Summary: Existing studies have shown that the economic complexity index (ECI) has a significant impact on environmental quality, but they have not taken into account the mediating effect of other key factors on the relationship between the two, thus neglecting the structural break and non-linear characteristics of the relationship between ECI and environmental quality. To fill this research gap, this study constructs a decomposition framework and multiple panel threshold regression models based on an extended STIRPAT model using panel data from 36 OECD countries. The results suggest a nonlinear relationship between ECI and ecological footprint, with the energy consumption structure, industrial structure, and human capital acting as key mediators. The study also proposes targeted policy recommendations to mitigate the effects of economic complexity on environmental quality, focusing on energy structure, industrial structure, and labor force.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Qiang Wang, Jiale Guo, Rongrong Li
Summary: The pursuit of sustainable development has become a prevalent goal in many countries, with renewable energy development considered a prime alternative that stimulates economic prosperity and reduces carbon emissions. The study finds that wind, solar, and hydro energy can all promote economic growth and lower carbon emissions, with wind energy being the most effective in emission reduction and hydro energy being the most effective in promoting economic development. The panel threshold model analysis further reveals different effects of solar, wind, and hydro energy on CO2 reduction across economic levels.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Rongrong Li, Qiang Wang, Lejia Li
Summary: This study investigates the impact of increasing renewable energy consumption on environmental pressures, such as per capita carbon emissions and per capita ecological footprint. Through panel threshold regression estimation, data from 130 countries and three income groups from 1992 to 2019 were analyzed. The results indicate a negative relationship between renewable energy consumption and environmental pressures, with a stronger effect observed as renewable energy consumption increases. Additionally, renewable energy has a more significant reduction in per capita ecological footprint in low-income countries compared to middle-income countries, suggesting its effectiveness in alleviating environmental pressures varies across income groups.
ENERGY STRATEGY REVIEWS
(2023)
Article
Environmental Studies
Qiang Wang, Feng Ren, Rongrong Li
Summary: This study examines the impact of geopolitical changes on international scientific research cooperation through a case study of Sino-US cooperation in marine pollution research. Findings indicate that the worsening of US-China relations did not decrease the number of publications in this field, with both countries experiencing an increasing trend. China has surpassed the US in scientific research output in marine pollution since 2015. Additionally, collaborative publications between the two countries are increasing, and scientific research ties remain strong despite deteriorating international relations. The impact of geopolitics on inter-country research cooperation in the field of marine pollution between the US and China is not evident.
Article
Environmental Studies
Qiang Wang, Chen Zhang, Rongrong Li
Summary: This paper develops a data envelopment analysis model to measure carbon efficiency and analyzes the effects of renewable energy on carbon efficiency using panel data for 116 countries. The results show that there are differences in carbon efficiency among different income groups, and there is an intermediary effect between renewable energy and carbon efficiency. The positive effect of renewable energy on carbon efficiency becomes more effective with the increase of income level. Targeted policy recommendations are proposed based on the findings.
ENERGY & ENVIRONMENT
(2023)
Article
Environmental Studies
Qiang Wang, Yunfei Ge, Rongrong Li
Summary: With the global expansion of economic activities, environmental degradation has become an increasingly severe challenge. The Sustainable Development Goals are heavily impacted by this issue, necessitating a symbiotic relationship between economic development and environmental protection. Investigating the efforts of the OECD to promote ecological protection is crucial, as it is a leading economic cooperation organization.
ENERGY & ENVIRONMENT
(2023)
Article
Environmental Studies
Qiang Wang, Xinchen Cheng, Rongrong Li
Summary: The relationship between the digital economy and carbon emissions in G7 countries is studied using the intermediary effect model based on technological innovation and the panel threshold model based on trade openness and energy intensity. Additionally, a quantile regression analysis is conducted to analyze the impact of the digital economy under different carbon emission levels. The empirical results show that the digital economy has a significant inhibitory effect on per capita carbon emissions, indirectly affecting them through technological innovation. The carbon emission reduction effect of the digital economy is greater at lower emission levels, with significant thresholds in trade openness and energy intensity.
ENERGY & ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
