Article
Economics
Xinze Li, Kerui Du, Xiaoling Ouyang, Lili Liu
Summary: This study examines the impact of stricter environmental regulation on firms' innovation using China's 11th Five-Year Plan as a quasi-natural experiment. The results support the Porter Hypothesis, showing that stricter environmental regulation leads to an increase in patent applications by industrial firms in China. Furthermore, the study also finds heterogenous effects based on ownership, industrial characteristics, and firm size.
Article
Environmental Sciences
William Mbanyele, Fengrong Wang
Summary: The study found that environmental regulations significantly promote technological innovation, especially for state-owned enterprises, pollution-intensive industries, and high-tech-intensive industries. The three underlying economic mechanisms identified include government financing, external governance, and R&D intensity as channels through which environmental regulations drive technological innovation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Fei Fan, Huan Lian, Xiaoyang Liu, Xueli Wang
Summary: The study reveals significant regional disparities in green innovation efficiency in Chinese cities, with the efficiency increasing in the East, remaining stable in the Central region, and decreasing in the West. Urban green innovation efficiency exhibits significant spatial autocorrelation and spillover effects. Furthermore, environmental regulation has a positive U-shaped relationship with urban green innovation efficiency, which can be strengthened by improving educational resources, industrial structure, and economic development.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Environmental
Rongxin Wu, Boqiang Lin
Summary: The study reveals a U-shaped relationship between environmental regulation and the energy-environmental performance of the iron and steel industry: low regulation intensity hinders performance improvement, while increased regulation intensity contributes to enhancement. Environmental regulation impacts industrial energy-environmental performance through technological innovation, and regional variations in the impact of regulation on energy-environmental performance are noticeable.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Environmental Sciences
Yantuan Yu, Ning Zhang
Summary: This paper investigates the impact of environmental regulation on innovation in the manufacturing sectors in China. The study finds that stricter environmental regulation is negatively associated with innovation and leads to a decline in labor demand, firm entry, and inbound foreign direct investment.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2022)
Article
Business
Yuchen Li, Wenhao Ma
Summary: This study suggests that strict environmental regulations have a negative impact on the innovation strategy of industrial enterprises, making them more conservative and challenging the realization of the Porter hypothesis. Furthermore, it shows that these regulations have a long-term negative effect on company innovation strategy, with heavy pollution enterprises being particularly affected.
EMERGING MARKETS FINANCE AND TRADE
(2022)
Article
Green & Sustainable Science & Technology
Xin Nie, Jianxian Wu, Zhoupeng Chen, Anlu Zhang, Han Wang
Summary: This study examines the relationship between environmental regulation and the regional Porter effect, using propensity score matching - difference in difference (PSM-DID) and dynamic panel data models for research experiments. The results show that environmental regulation has not been able to stimulate the regional Porter effect, mainly due to the pollution heaven effect induced by the carbon emissions trading pilot policy.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Economics
Yanping Tian, Wenjing Song, Min Liu
Summary: This study evaluates the impact of China's Low-carbon Pilot Cities (LCPC) program on urban innovation, finding that the program may have a negative effect on urban innovation, particularly on non-green innovation. The program appears to have a crowding-out effect on industrial firms lacking green innovation.
ECONOMIC ANALYSIS AND POLICY
(2021)
Article
Green & Sustainable Science & Technology
Chunyang Wang, Yongjia Lin
Summary: This study investigates the relationships between different types of environmental regulations and firm performance. The results show that mandatory environmental regulation has negative effects on firm performance, while voluntary environmental regulation contributes positively to performance. Investors tend to overreact to environmental regulation, overestimating the benefits of voluntary regulation and the negative effects of mandatory regulation. Firm bargaining power can mitigate the negative effects of mandatory regulation on performance.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Psychology, Multidisciplinary
Moon Gyu Bae, Yi Chen Wang, Na Liu
Summary: This article examines the impact of environmental regulations on foreign direct investment and considers the influence of country distance on this relationship. The research on environmental regulations is currently controversial and lacks studies on country distance in international management.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Business
Subhan Ullah, Henry Agyei-Boapeah, Ja Ryong Kim, Asma Nasim
Summary: This study fills the research gap on the determinants of environmental innovation in developing countries and finds that it is mainly driven by demand-pull factors, with national culture playing an important role.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Green & Sustainable Science & Technology
Xinhao Li, Tianshun Ruan, Ke Hou, Rong Qu
Summary: This paper explores the low-carbon manufacturing issues in China and identifies stable industrial chain structure and policy sensitivity as the reasons for the formation of simmelian tie. Furthermore, it finds that low-carbon manufacturing is influenced by green technological advances, organizational strategies, and policy environment. Additionally, the low-carbon pathways of manufacturing enterprises are directly related to their position in the industrial chain, with downstream enterprises having more diverse pathways. Finally, the study suggests that active governmental support is more effective in promoting low-carbon manufacturing than environmental pressure.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Wei Liu, Jing Shen, Yehua Dennis Wei
Summary: This paper examines the drivers of distribution of pollution-intensive enterprises (PIEs) at the intraurban level and finds that the changing environmental policy regime has influenced the siting strategy of PIEs. The research conducted at the regional or global level has oversimplified the 'Pollution Haven Hypothesis' and the 'Porter Hypothesis'.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Sihan Zhang, Ming-ang Zhang, Yuanbo Qiao, Xiao Li, Sheng Li
Summary: Transparent environmental information is crucial for government regulation of pollution and public awareness. This study investigates the impact of China's air quality monitoring and disclosure program on firms' green innovation. The results show that the program has significantly increased firms' green innovation, particularly in terms of the number of green invention patent applications.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Hongxun Liu, Jinfeng Gao, Peng Tian, Xiaoming Ma, Guanfei Meng, Jingnan Yang, Zhi Li
Summary: Governments have implemented environmental regulation policies to improve environmental performance, but these policies may negatively affect productivity by changing input allocation, economic outputs, and pollutant emissions. Ignoring the co-production of goods and bads may lead to biased estimation, particularly concluding an inverse relationship between environmental regulation and productivity. This paper incorporates the co-production of goods and bads into the empirical framework and estimates productivity shocks from environmental regulation and explores their mechanisms.
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)