Article
Environmental Sciences
Claudien Habimana Simbi, Fengmei Yao, Jiahua Zhang, Jianyi Lin, Ayalkibet M. Seka, Mchura Tereza Magati, Hubert Hirwa, Juvens Sugira Murekezi
Summary: This paper examines the spatio-temporal variations, drivers, and decoupling of CO2 emissions from economic growth in 150 countries from 1990 to 2019. The study reveals an increase in CO2 emissions, driven primarily by economic growth and population growth. It emphasizes the importance of considering income levels and regional disparities in formulating CO2 emission mitigation strategies, and highlights the need for global coordination towards a low-carbon economy.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Jiaqi Jiang, Tao Zhao, Juan Wang
Summary: This study investigated the decoupling status and future trends of CO2 emissions from the agricultural sector in China. Driving forces such as per capita cultivated area and rural population were identified using the LMDI model. The Tapio model was then used to analyze the relationship between agricultural CO2 emissions and output. Results showed significant emissions reductions in the decoupling scenarios, with potential for further reductions in provinces with high emission levels.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Tao He, Xiuwei Lin, Yongli Qu, Chunbo Wei
Summary: There is a weak decoupling relationship between carbon emissions and economic development of animal husbandry in Heilongjiang Province. The continuous increase in carbon emissions is mainly driven by factors such as agricultural population returns and changes in the production structure of animal husbandry. To achieve the transformation of animal husbandry towards green and low carbon, it is recommended to adopt sustainable and eco-friendly practices, promote research and development in sustainable agriculture and animal husbandry, and reduce greenhouse gas emissions.
Article
Green & Sustainable Science & Technology
Chaochao Gao, Haoqing Ge, Yingying Lu, Weijun Wang, Yijia Zhang
Summary: This study examines the decoupling status of provincial carbon emissions from economic development in China, finding weak decoupling mainly driven by capital investment and total factor productivity. During the study period, emissions-economy decoupling primarily depended on the decoupling of economic activities from energy consumption. While there is substantial variation in provincial emissions and driving forces, the overall trend suggests a convergence towards coherent low-carbon progress.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Tiantian Chun, Shanshan Wang, Xiaoxin Xue, Haojin Xin, Gengyu Gao, Ningwei Wang, Xiaolin Tian, Ruiqin Zhang
Summary: This study focuses on Henan Province and establishes a decoupling effort model by combining the traditional LMDI model and Tapio model. The results showed a decrease in total CO2 emissions in Henan Province after 2011, with raw coal being the primary fuel source and the power and heat production sector being the major industrial source. Economic output and energy intensity were identified as the major factors impacting CO2 emissions. Henan Province achieved a transformation from weak decoupling to strong decoupling, with the industry sector showing strong decoupling and the agriculture sector showing weak decoupling. Energy intensity was found to be a crucial factor in achieving decoupling. This study provides insights into the CO2 emission characteristics of Henan Province and offers a theoretical basis for formulating emission mitigation measures.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Tugba Akdogan, Elif Erkara, Betul Mert, Burcu Hicyilmaz, Sedat Alatas, Etem Karakaya
Summary: The share of emissions from materials has significantly increased and is expected to continue rising in the future. Understanding the environmental impact of materials is crucial, especially from a climate mitigation perspective. This study investigates the role of materials in decoupling CO2 emissions from economic growth and compares it with the role of energy use in the top-19 emitting countries. The results highlight the importance of considering both energy and material-related strategies for achieving decoupling.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Guijing Chen, Fujun Hou, Jiaqi Li, Keliang Chang
Summary: This study analyzed changes in carbon dioxide emissions by the Chinese power industry using the LMDI model and Tapio decoupling analysis model. It was found that energy consumption structure and total power generation were key factors promoting emissions growth, with technical effects playing a significant role in the decoupling between factors and emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Wenwei Lai, Qinglong Hu, Qian Zhou
Summary: This study quantitatively analyzes the PM2.5 emissions in Hunan and Guangdong provinces, finding significant differences in emission levels, contribution rates, and decoupling between the two provinces.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
M. A. Hossain, S. Chen
Summary: The research findings indicate that there has been a certain degree of decoupling between Bangladesh's agricultural sector and agricultural development in recent years. The increase in CO2 emissions is mainly affected by the population factor, agricultural energy intensity factor, and agricultural economic activity factor, while the decrease in CO2 emissions is related to factors such as agricultural economic structure, agricultural energy structure, and agricultural emissions.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2022)
Article
Environmental Sciences
Wenjie Sun, Shunli Ren, Kai Liu, Chaoyao Zan
Summary: This study uses the Tapio decoupling model to measure the relationship between China's economic development and carbon emissions, and identifies the factors driving carbon emissions with the help of the improved Kaya identity and LMDI decomposition models. The results show that most mining divisions have achieved decoupling and stability, except for the oil and natural gas mining industry. The mining product smelting and processing industry has undergone a major transformation, but there are differences between different sub-sectors.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Keliang Chang, Guijing Chen, Zifang Du, Fujun Hou, Jiaqi Li, Fu Chen
Summary: The study applies the LMDI model to investigate carbon emission changes in the Chinese national and regional power sectors, revealing significant differences in regional emissions compared to national emissions. Factors driving emission growth include economic scale and income levels, while decoupling effects are largely influenced by scale and technical effects. Through regional decomposition analysis, it was found that economic scale had the most significant impact on regional power sector carbon emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Yuze Wang, Shouyi Mo, Chenjun Zhang, Jiaqi Zhi, Chenchen Li
Summary: As the largest energy consumer, China has a crucial role in global climate governance by controlling carbon emissions from energy consumption. However, there is a lack of studies exploring emission reduction pathways that align China's economic growth with carbon peaking and carbon neutrality goals from an energy consumption perspective. This paper analyzes the spatial and temporal distribution of carbon emissions in China at the national-provincial level and identifies the driving factors using the LMDI model. The study also examines the decoupling states of China and proposes targeted policy recommendations based on China's energy endowment.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Yan Han, Jiajie Zhang, Mengjie Yuan
Summary: In the context of global pursuit of sustainable development and China's dual carbon goals, this study analyzed the relationship between carbon emissions and economic growth, as well as the driving factors of carbon emissions in the Yellow River Basin of China from 2001 to 2019. The results showed that the decoupling state of CO2 and economic growth in the Yellow River Basin exhibited a trend of expansion negative decoupling - expansion connection - weak decoupling - strong decoupling. The study also identified various factors that influenced carbon emissions, including economic intensity, population size, carbon emission intensity, industrial structure, and energy structure.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Studies
Tengfei Huo, Yuling Ma, Tao Yu, Weiguang Cai, Bingsheng Liu, Hong Ren
Summary: This study explores the decoupling relationship between residential building carbon emissions and residential income across 30 Chinese provinces from 2000 to 2015. Results show a significant change in the decoupling trend, primarily influenced by residential energy intensity and per capita income. The findings provide valuable references for international policymakers to formulate targeted carbon reduction policies.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2021)
Article
Biodiversity Conservation
Meiyi Xin, Haixiang Guo, Shicheng Li, Linfei Chen
Summary: This study evaluates the decoupling between ecological footprint and economic growth using the Tapio decoupling model, and identifies the driving factors of decoupling at national and provincial levels using the Logarithmic Mean Divisia Index (LMDI) decomposition methods. The driving factors include industrial structural, technological innovation, economic development, and population size. The study finds that there is an upward trend in ecological footprint, particularly in the northwest region where it has increased by over 100%. The decoupling state shows spatial distribution characteristics, with the northeastern region in negative decoupling. Technological innovation plays a positive and leading role in decoupling, while economic development inhibits it. Countermeasures and approaches to promote the decoupling of ecological footprint and economic growth are suggested, providing a basis for further analysis of environmental governance in China and promoting the decoupling process in other developing countries.
ECOLOGICAL INDICATORS
(2023)
Article
Development Studies
Chien-Chiang Lee, Godwin Olasehinde-Williams, Bright Akwasi Gyamfi
Summary: The study argues that green trade and economic complexity have positive effects on the environment, and their interaction further confirms that they have a complementary synergistic impact on the environment of the 24 EU countries.
SUSTAINABLE DEVELOPMENT
(2023)
Article
Economics
Amin Sokhanvar, Chien-Chiang Lee
Summary: The war between Russia and Ukraine, as well as new sanctions against Russia, have had varying economic impacts. Supply chain shocks have been caused by market volatility and the range of commodities exported by Russia and Ukraine, including energy and raw materials. This paper utilizes the cross-quantilogram approach to analyze the effects of energy price shocks on exchange rate movements during this war, finding a correlation between energy price hikes and the appreciation of the Canadian dollar against the Euro and Japanese yen. The best feasible policy responses to the ongoing conflict in Ukraine are also discussed.
EMPIRICAL ECONOMICS
(2023)
Article
Economics
Jim Huangnan Shen, Weiping Li, Chien-Chiang Lee
Summary: This research proposes a theoretical framework to explain the incentives behind the exponential growth in asset size of China's large state-owned enterprises in the past few decades, with results presenting three types of incentives that led to their expansion.
MANAGERIAL AND DECISION ECONOMICS
(2023)
Article
Environmental Studies
Amin Sokhanvar, Serhan Ciftcioglu, Chien-Chiang Lee
Summary: The war in Ukraine has resulted in a geopolitical crisis with economic winners and losers. Using the DS-ARDL and Cross-Quantilogram approaches, we examine the impact of higher energy prices on commodity currencies. Our findings from 4-hour data between January and November 2022 show a significant positive effect of energy price hikes on the value of the Australian dollar against the Japanese yen, Euro, and British pound. Comparing the effects of gas and oil price hikes on exchange rates, we find that these movements are mostly driven by gas price shocks. Given the impact of this war on the global economy, we provide critical policy implications to enhance economic and financial well-being.
Article
Business, Finance
Chien-Chiang Lee, Chih-Wei Wang, Bui Tien Thinh
Summary: This study examines the impact of the interaction between climate risks and cash flow on corporate cash holdings in 87 countries. The findings show a positive relationship between cash holdings and the interaction between climate risks and cash flow, while indicating a negative relationship with green development. The study suggests that policymakers should take into account corporate decisions on cash holdings and consider them when implementing climate-related strategies, as these decisions can be influenced by financial constraints, level of green development, and regional factors.
PACIFIC-BASIN FINANCE JOURNAL
(2023)
Article
Business
Chien-Chiang Lee, Chuan Zhang, Dan Ma
Summary: This study examines the impact of the COVID-19 pandemic on economic uncertainty and its spillover network using social network analysis. It constructs the inter-provincial economic uncertainty spillover network and provincial social network in China. The results indicate that the pandemic significantly affects provincial economic uncertainty and social networks hinder the spillover of economic uncertainty. The inhibitory effect of social networks on uncertainty spillover varies regionally, being more significant in heavily affected and tightly controlled provinces.
EMERGING MARKETS FINANCE AND TRADE
(2023)
Article
Economics
Chien-Chiang Lee, Runchi Lou, Fuhao Wang
Summary: Digital financial inclusion has a significant impact on poverty alleviation in China, and developing it can provide new approaches to inclusive growth and sustainable development. The research shows that digital financial inclusion contributes considerably to poverty alleviation, with different effects on individuals at different poverty levels. Income level and distribution play a vital role, and digital financial inclusion enhances poverty alleviation through a spillover effect, although there is a non-linear relationship that may increase poverty. The use of instrumental variable regression confirms the reliability of the research's basic conclusion.
ECONOMIC ANALYSIS AND POLICY
(2023)
Article
Economics
Chien-Chiang Lee, Mingli Zeng, Kang Luo
Summary: China, the world's largest food producer, is under increasing pressure to solve food security issues and is committed to creating new prospects for global food security and sustainable agricultural development. This research examines the spatial spillover effect of the digital economy on food security using panel data from 31 provinces and cities in China from 2011-2020. The study concludes that the improvement of the digital economy significantly promotes China's food security and that the digital economy has both inhibitory and promotive effects on food security in different regions.
ECONOMIC ANALYSIS AND POLICY
(2023)
Article
Green & Sustainable Science & Technology
Afzol Husain, Kwang-Jing Yii, Chien-Chiang Lee
Summary: This paper examines the dynamic connectedness between green cryptocurrencies, green investment, conventional commodities, and equities, and investigates the effect of uncertainty on their co-movements. The findings suggest that green cryptocurrencies do not exhibit hedge or safe haven properties and are no different from diversifiers. Financial uncertainty significantly influences the interconnectedness between green cryptocurrencies and other assets, indicating increased exposure during market turmoil. Therefore, during financial distress, more emphasis should be placed on green bonds and gold rather than on green cryptocurrencies. Additionally, the study notes the similarities between green cryptocurrencies and conventional counterparts, suggesting that conventional cryptocurrencies could be used as proxies for green counterparts in portfolio management strategies.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Economics
Chien-Chiang Lee, Mei-Ping Chen, Zihao Yuan
Summary: This research examines the impact of information and communication technology (ICT) on renewable energy (RE), considering country risk (CR) as an interaction term. The findings show that Internet usage, secure network services, and high-tech exports have a greater impact on promoting RE output in countries with lower levels of RE output. On the other hand, fixed broadband subscriptions are more effective in countries with higher RE output. Additionally, CR influences the causal connection between RE output and ICT. The study provides valuable insights for policymakers to consider CR, RE condition, and the varying impacts of different ICTs for advancing both RE and ICT usages.
Article
Business
Chien-Chiang Lee, Lijun Jiang, Huwei Wen
Summary: Based on panel data of A-share listed manufacturing enterprises in China from 2010 to 2020, this study examines how manufacturing enterprises allocate their financial assets in the process of digitalization from the perspective of operating profit and risk taking. The results indicate that ICT investment reduces financial asset allocation, while digital transformation improves it. The findings support the existence of precautionary saving and substitutional investment as phenomena in this context. The study also highlights the impact of innovation characteristics and ownership on these patterns.
EMERGING MARKETS FINANCE AND TRADE
(2023)
Article
Thermodynamics
Min Liu, Hong-Fei Liu, Chien-Chiang Lee
Summary: This paper is the first attempt to examine the relationship between the AI industry and the energy market from the perspective of risk connectedness. The findings suggest that the shock from AI challenges the stability of the energy market and reveals a close relationship between the AI industry and the clean energy market.
Article
Business, Finance
Yan Su, Chien-Chiang Lee
Summary: This research analyzes the impact of green finance development on China's environmental quality and verifies the hypotheses that green finance improves environmental quality and enhances innovation levels. The findings highlight the importance of developing technology-intensive industries and indicate that the effects of green financial development on environmental improvement vary across regions. Moreover, the study validates the environmental Kuznets curve theory by showing an inverted U-shaped relationship between green finance and environmental quality.
INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS
(2023)
Article
Business
Chien-Chiang Lee, Zeshuang Xiao
Summary: This research examines the impact of supply chain finance (SCF) on the investment efficiency of new energy firms. The findings indicate that SCF significantly improves investment efficiency by enhancing cash-holding position in new energy corporations. Additionally, the study reveals that supply chain concentration and digital finance positively amplify the relationship between SCF and corporate efficiency.
EMERGING MARKETS FINANCE AND TRADE
(2023)
Article
Business
Ying Fu, Chien-Chiang Lee, Weiqi Dai, Emma Su
Summary: This study examines the impact of second-generation returnees on a family firm's entrepreneurial risk-taking in China. The findings suggest that second-generation returnees in higher managerial positions, operating in high-growing markets, or in institutionally underdeveloped regions have a stronger positive influence on a family firm's entrepreneurial risk-taking.
EMERGING MARKETS FINANCE AND TRADE
(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)