期刊：
INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL,2025年30:699-711 ISSN：1368-1613
通讯作者：
Jiang, M
作者机构：
[Jiang, Man; Jiang, M; Yang, Siluo] Wuhan Univ, Sch Informat Management, Wuhan, Peoples R China.;[Tao, Shuang] Wuhan Polytech Univ, Sch Econ, Wuhan, Peoples R China.
通讯机构：
[Jiang, M ] W;Wuhan Univ, Sch Informat Management, Wuhan, Peoples R China.
摘要：
Introduction. Impact, as an intrinsic attribute of emerging technologies, plays a crucial role in their identification and understanding. Traditional citation metrics, while reflective of impact magnitude, fail to explain its nature. Method. Addressing this deficiency, this study categorizes the impact of emerging technologies into internal and external field, as well as impacts on basic versus applied development. With a focus on digital medical technology, this research investigates these four distinct impact patterns and their determinants. Using ordinary least squares (OLS) regression analysis on patent records from the Derwent innovations index (DII), the study examines how temporal novelty, innovation novelty, growth, and uncertainty influence both the magnitude and patterns of technological impact. Analysis. Analysis shows a U-shaped relationship between temporal novelty and impact, indicating that older technologies gain influence through cumulative effects, while emerging technologies attract attention early on due to their pronounced novelty. Additionally, innovation novelty positively correlates with impact, underscoring its critical role in the effectiveness of emerging technologies. In contrast, growth rates and uncertainty demonstrate inconsistent effects. Conclusions. These insights offer valuable guidance for policymakers, investors, and R&D managers in strategically advancing the development and deployment of emerging technologies.
通讯机构：
[Tao, S ] W;Wuhan Polytech Univ, Sch Econ, Wuhan, Peoples R China.
关键词：
attention-based view;environmental regulation;government environmental attention;greenwashing;signaling theory
摘要：
This study examines the relationship between government environmental attention and corporate greenwashing, with particular emphasis on the role of implicit institutional frameworks shaped by local governments' allocation of attention to environmental matters in mitigating irresponsible corporate actions. Using an attention-based view and signaling theory, we empirically investigate the impact of government environmental attention on corporate greenwashing and identify the mechanisms involved. Our findings reveal that increased government focus on environmental issues significantly curtails corporate greenwashing by alleviating firms' financial constraints, boosting their innovation capabilities, and improving managers' green perceptions. Moderating effect tests indicate that command-and-control environmental regulations enhance the effectiveness of governmental environmental attention in reducing corporate greenwashing, while a close relationship between local governments and firms weakens its inhibitory effect on greenwashing.
期刊：
Journal of Environmental Management,2025年389:126239 ISSN：0301-4797
通讯作者：
Hu, SJ
作者机构：
[Zhu, Tianyi] Suzhou Univ Sci & Technol, Business Sch, Suzhou, Peoples R China.;[Wu, Haoqiang] Wuhan Polytech Univ, Sch Econ, Wuhan, Peoples R China.;[Hu, Sujie] Soochow Univ, Business Sch, Suzhou, Peoples R China.
通讯机构：
[Hu, SJ ] S;Soochow Univ, Business Sch, Suzhou, Peoples R China.
关键词：
ESG ratings;ESG rating divergence;Corporate financialization;Sustainable development
摘要：
ESG ratings play a pivotal role in shaping corporate sustainable development. Drawing on data from Chinese listed companies between 2010 and 2023, this study examines how ESG ratings, originally designed to encourage sustainability, may inadvertently influence firms' inclination toward short-term profit-seeking behaviors, such as corporate financialization. The findings unveil a U-shaped relationship between ESG rating divergence and corporate financialization, with a pronounced impact observed in firms operating in highly competitive industries, in non-SOEs, and in firms with weaker internal governance structures. Channel tests reveal that ESG rating divergence exerts dual effects on corporate financialization. On the one hand, there is an information effect, whereby moderate divergence enhances the information environment and reduces firms’ reliance on financial assets. On the other hand, a risk effect emerges when divergence is substantial, increasing perceived uncertainty and encouraging managerial short-termism, which in turn drives greater financialization. This research provides valuable insights for advancing the sustainable development of firms and highlights how ESG ratings can have a more significant influence in this domain.
ESG ratings play a pivotal role in shaping corporate sustainable development. Drawing on data from Chinese listed companies between 2010 and 2023, this study examines how ESG ratings, originally designed to encourage sustainability, may inadvertently influence firms' inclination toward short-term profit-seeking behaviors, such as corporate financialization. The findings unveil a U-shaped relationship between ESG rating divergence and corporate financialization, with a pronounced impact observed in firms operating in highly competitive industries, in non-SOEs, and in firms with weaker internal governance structures. Channel tests reveal that ESG rating divergence exerts dual effects on corporate financialization. On the one hand, there is an information effect, whereby moderate divergence enhances the information environment and reduces firms’ reliance on financial assets. On the other hand, a risk effect emerges when divergence is substantial, increasing perceived uncertainty and encouraging managerial short-termism, which in turn drives greater financialization. This research provides valuable insights for advancing the sustainable development of firms and highlights how ESG ratings can have a more significant influence in this domain.
期刊：
International Review of Economics & Finance,2025年102:104310 ISSN：1059-0560
通讯作者：
Yang, X
作者机构：
[Zhao, Xiyang] Wuhan Polytech Univ, Sch Econ, Wuhan, Peoples R China.;[Yang, X; Yang, Xi] Hubei Univ Chinese Med, Sch Management, Wuhan, Peoples R China.;[Tian, Jilin] China Galaxy Secur Co Ltd, Postdoctoral Workstn, Beijing, Peoples R China.;[Yan, Wenshou] Zhongnan Univ Econ & Law, Sch Business Adm, Wuhan, Peoples R China.
通讯机构：
[Yang, X ] H;Hubei Univ Chinese Med, Sch Management, Wuhan, Peoples R China.
关键词：
Trade uncertainty;Non-gravity trade;Transitory economic shocks;Energy consumption;Sustainable development
摘要：
In this paper, we firstly identify the effects that trade uncertainty has on the composition of energy consumption using global panel data over the period 1990–2019. Trade uncertainty is innovatively constructed based on non-gravity trade, which has much more volatility than gravity trade, and non-gravity trade, is estimated from the unforecastable component of linear estimation in a gravity model, not being determined by economic fundamentals. Our results show that different types of energy consumption demonstrate heterogeneous responses to trade uncertainty shocks. Specifically, a 1% increase in GDP induced by negative trade uncertainty shocks will increase the non-renewable energy consumption by around 1.2%, while reducing the renewable energy consumption by around 1.7%. These results survived a number of robustness checks including heteroscedasticity for identification, different types of energy, and different instrument variables, excluding trade uncertainty related to US–China trade tension, confirming that changes in energy consumption are triggered by the transitory income shock, driven by trade uncertainty.
In this paper, we firstly identify the effects that trade uncertainty has on the composition of energy consumption using global panel data over the period 1990–2019. Trade uncertainty is innovatively constructed based on non-gravity trade, which has much more volatility than gravity trade, and non-gravity trade, is estimated from the unforecastable component of linear estimation in a gravity model, not being determined by economic fundamentals. Our results show that different types of energy consumption demonstrate heterogeneous responses to trade uncertainty shocks. Specifically, a 1% increase in GDP induced by negative trade uncertainty shocks will increase the non-renewable energy consumption by around 1.2%, while reducing the renewable energy consumption by around 1.7%. These results survived a number of robustness checks including heteroscedasticity for identification, different types of energy, and different instrument variables, excluding trade uncertainty related to US–China trade tension, confirming that changes in energy consumption are triggered by the transitory income shock, driven by trade uncertainty.
关键词：
entropy method;agricultural economic resilience;agricultural insurance;extreme weather;evidence from China
摘要：
Introduction: Against the backdrop of global warming and the frequent occurrence of extreme weather events, effectively bringing into play the effectiveness of agricultural insurance in supporting agriculture and enhancing the resilience of the agricultural economy is of universal significance for countries around the world. This study aims to explore the impact of extreme weather on the resilience of the agricultural economy, as well as whether agricultural insurance plays a role in the relationship between the two. Methods: Based on the panel data of 31 provinces (autonomous regions and municipalities directly under the Central Government) in China from 2011 to 2022, this paper selects 15 indicators from three dimensions, namely the pressure layer, the state layer, and the response layer, and measures the resilience of the agricultural economy by using the entropy method. Furthermore, through the fixed effects model and the moderating effects model, this paper empirically analyzes the impacts of extreme weather changes such as extreme high temperatures, extreme low temperatures, and extreme precipitation on the resilience of the agricultural economy, and examines the moderating role of agricultural insurance in this context. Finally, this paper explores whether the impacts of extreme weather on the agricultural economy in different regions are consistent, and the effectiveness of the role of agricultural insurance in different regions. Results: The study has revealed that extreme weather changes, predominantly characterized by extreme high temperatures, are detrimental to the enhancement of agricultural economic resilience. Conversely, agricultural insurance can effectively alleviate the negative impacts of extreme weather on the resilience of the agricultural economy. Meanwhile, the results of the heterogeneity test further validate the adverse effects of extreme weather on agricultural economic resilience and the negative moderating role of agricultural insurance therein. Overall, the adverse impacts of extreme weather are more pronounced in the central and eastern regions compared to the western region. Similarly, the moderating effects of agricultural insurance are more evident in the eastern and central regions than in the western region. Discussion: Based on the heterogeneity analysis, this study explores the reasons for the inconsistent impacts of extreme weather and agricultural insurance in different regions. By comparing the agricultural insurance systems of China with those of other countries, and further from an international perspective, a policy framework is constructed, which takes promoting the high-quality development of agricultural insurance and enhancing the resilience of the agricultural economy as its core. Based on this framework, this paper puts forward some suggestions that may help mitigate the adverse impacts of extreme weather changes on agricultural production and further steadily strengthen the resilience of the agricultural economy.
摘要：
This paper examines the relationship between government-guided fund (GGF) investment and corporate ESG (Environmental, Social, and Governance) performance using China's A-share companies that received GGFs from 2013 to 2022. Our analysis indicates a significant negative correlation between GGFs holdings and ESG performance, with one period lagged effect. This negative correlation is pronounced for non-state-owned enterprises but insignificant for state-owned enterprises. For state-owned enterprises, robust regional economic development and stringent environmental regulations mitigate the negative GGF correlation. This study provides new insights into the relation of GGFs with corporate sustainability.
This paper examines the relationship between government-guided fund (GGF) investment and corporate ESG (Environmental, Social, and Governance) performance using China's A-share companies that received GGFs from 2013 to 2022. Our analysis indicates a significant negative correlation between GGFs holdings and ESG performance, with one period lagged effect. This negative correlation is pronounced for non-state-owned enterprises but insignificant for state-owned enterprises. For state-owned enterprises, robust regional economic development and stringent environmental regulations mitigate the negative GGF correlation. This study provides new insights into the relation of GGFs with corporate sustainability.
作者机构：
[Lei, Xiao] Xiamen Univ, Sch Econ, Xiamen, Peoples R China.;[Zhou, Lin; Zhou, L] Wuhan Polytech Univ, Sch Econ, 36 Huanhu Zhong Rd, Wuhan 430048, Hubei Province, Peoples R China.;[Zhou, Lin] Ctr Cty Econ Dev Res Hubei, Wuhan, Peoples R China.;[Hu, Wentao] Henan Univ Technol, Sch Econ & Trade, Zhengzhou, Peoples R China.
通讯机构：
[Zhou, L ] W;Wuhan Polytech Univ, Sch Econ, 36 Huanhu Zhong Rd, Wuhan 430048, Hubei Province, Peoples R China.
关键词：
Digital infrastructure construction;broadband China policy;farmers’ income;double machine learning;O13;O33;Q16
摘要：
Taking the Broadband China policy as a quasi-natural experiment, this paper uses a double machine learning based on difference-in-differences approach to investigate the impact of digital infrastructure construction on farmers' income based on the county-level panel data from 2010 to 2022 in China. The results show that digital infrastructure construction can significantly increase farmers' income, and the effect is more pronounced in west regions and the Non-Major Grain Producing Areas. Mechanism analysis suggests that digital infrastructure construction increases farmers' income by reducing agricultural costs in production process, expanding sales channels in circulation process and promoting the digital transformation of agriculture.
摘要：
This study demonstrates that extreme temperatures disproportionately affect women’s employment in China’s manufacturing sector. Using matched data from county-level weather records and industrial enterprise surveys, we find that a one-percentage-point increase in extreme temperature exposure reduces female employment share by 4.75% points. Mechanism analysis reveals that this relationship is primarily driven by firms’ hiring decisions based on both perceived and actual gender differences in weather-related productivity. Our findings contribute to the literature by providing novel evidence on how indoor working conditions in manufacturing can perpetuate gender-based labour market disparities.
摘要：
China’s rapid urbanization has significantly impacted the environment, escalating resource, energy, and material consumption. Sustainable urban development has become a critical issue, with eco-efficiency emerging as a key metric for its assessment. This study employs eco-efficiency analysis, incorporating environmental contamination as an undesirable output, using data envelopment analysis (DEA) and a modified super-efficiency model for ranking cities. Empirical research was conducted on 30 Chinese provincial capital cities using real-world data. Results reveal that while many cities are eco-efficient, inefficiency is concentrated in underdeveloped regions of the southwest and northwest. Conversely, some eco-efficient cities exhibit high levels of pollution and intensive resource use, including land, energy, and water. The modified ranking methodology identified Yinchuan, Lanzhou, and Guiyang as the least eco-efficient cities, while Haikou, Fuzhou, and Beijing ranked as the top performers. The study highlights the need to reform the GDP-oriented development model and evaluation systems, continually upgrade industrial structures, and prevent the migration of heavy industries from more developed to less developed regions. These findings provide actionable insights for policymakers to balance urban growth with environmental sustainability.
China’s rapid urbanization has significantly impacted the environment, escalating resource, energy, and material consumption. Sustainable urban development has become a critical issue, with eco-efficiency emerging as a key metric for its assessment. This study employs eco-efficiency analysis, incorporating environmental contamination as an undesirable output, using data envelopment analysis (DEA) and a modified super-efficiency model for ranking cities. Empirical research was conducted on 30 Chinese provincial capital cities using real-world data. Results reveal that while many cities are eco-efficient, inefficiency is concentrated in underdeveloped regions of the southwest and northwest. Conversely, some eco-efficient cities exhibit high levels of pollution and intensive resource use, including land, energy, and water. The modified ranking methodology identified Yinchuan, Lanzhou, and Guiyang as the least eco-efficient cities, while Haikou, Fuzhou, and Beijing ranked as the top performers. The study highlights the need to reform the GDP-oriented development model and evaluation systems, continually upgrade industrial structures, and prevent the migration of heavy industries from more developed to less developed regions. These findings provide actionable insights for policymakers to balance urban growth with environmental sustainability.
关键词：
Life cycle;Emerging technology;Knowledge attributes;Innovation network evolution;TERGM
摘要：
Purpose
This study aims to explore the factors influencing the evolution of emerging technology innovation network (ETIN) in combination with the key attributes and life cycle of emerging technologies, particularly the impact of multiple knowledge attributes and technology life cycle on the ETIN evolution.
Design/methodology/approach
This study collects 5G patent data and their citation information from the Derwent Innovations Index to construct a 5G technology innovation network (5GIN) as a sample network and conducts an empirical analysis of the 5GIN using the temporal exponential random graph model (TERGM).
Findings
The results indicate that during the 5GIN evolution, the network scale continues to expand and exhibits increasingly significant core-periphery structure, scale-free characteristic, small-world characteristic and community structure. Furthermore, the findings suggest that the multiple knowledge attributes based on the key attributes of emerging technologies, including knowledge novelty, coherence, growth and impact, have a significant positive influence on the ETIN evolution. Meanwhile, the temporal evolution of ETIN is also found to be correlated with the life cycle of emerging technologies.
Originality/value
This study extends the exploration of emerging technology research from a complex network perspective, providing a more realistic explanatory framework for the factors influencing ETIN evolution. It further highlights the important role that multiple knowledge attributes and the technology life cycle play within this framework.
摘要：
In this study, we use a dataset collected from eBay to analyze buyers’ negative feedback ratings and associated textual comments. By using text mining and sentiment analysis, we identify seven key reasons why buyers post negative ratings: communication problems, shipping issues, product defects, payment refund problems, customer service issues, fraud, and product packaging. These seven reasons can be classified into three categories: (1) sellers’ malicious fraudulence toward buyers, (2) factors likely under the control of sellers, and (3) factors not likely under the control of sellers. Drawing on these categories, we discuss how sellers can effectively reduce the likelihood that buyers post negative ratings. The most important things sellers can do to avoid negative ratings are to improve communications with buyers and to handle product shipping issues properly. In addition to posting the reasons for their negative ratings of sellers, the textual comments associated with negative feedback ratings may also include direct denouncements of sellers, such as buyers explicitly claiming a seller is a liar and warning other buyers to be cautious of the seller. We collectively call these actions buyers’ denouncements against sellers. These denouncements have significant negative impacts on sellers’ reputations. In this study, we use correlation analysis and logistic regression to investigate the factors that motivate buyers to denounce sellers. We find that, of the three categories of reasons why buyers post negative ratings, sellers’ malicious fraudulence toward buyers and factors likely under the control of sellers are more likely to lead to buyers’ denouncements of sellers, while factors not likely under the control of sellers are not likely to lead to buyers’ denouncements of sellers. In addition, buyers’ strong negative sentiment is also more likely to lead to their denouncement of sellers. Managerial implications of these findings are discussed.
期刊：
Energy Strategy Reviews,2024年56:101575 ISSN：2211-467X
通讯作者：
Feng, C
作者机构：
[Xu, Tiancheng] Wuhan Polytech Univ, Sch Econ, Wuhan 430048, Hubei, Peoples R China.;[Feng, C; Feng, Chun] Guangzhou Xinhua Univ, Sch Econ & Trade, Guangzhou 510520, Guangdong, Peoples R China.;[Guluzada, Esmira] Azerbaijan State Univ Econ UNEC, Baku, Azerbaijan.;[Chao, Chen] Nanjing Normal Univ, Nanjing, Peoples R China.
通讯机构：
[Feng, C ] G;Guangzhou Xinhua Univ, Sch Econ & Trade, Guangzhou 510520, Guangdong, Peoples R China.
关键词：
Environmental degradation;Renewable energy;Fossil fuel consumption;Gold prices;Sustainable development
摘要：
Rapid industrialization in recently industrialized countries (NICs) has exacerbated environmental degradation, raising urgent concerns about how energy consumption, gold prices, and fossil fuel prices contribute to this growing issue. This study aims to evaluate the asymmetric relationships between these factors and environmental degradation across 10 NICs, including Brazil, India, South Korea, Mexico, Indonesia, Turkey, Thailand, South Africa, Malaysia, and the Philippines, from 1995 to 2023. Using the CS-ARDL model, our study demonstrates that while energy costs and renewable energy consumption reduce environmental degradation, gold prices and fossil fuel consumption significantly increase ecological harm. Additionally, the study employs FGLS, CS-DL, AMG, and Driscoll-Kray to verify the robustness of these findings. Notably, the Environmental Kuznets Curve (EKC) hypothesis holds true in these economies. Key results show that a 1 % increase in renewable energy use decreases emissions by 0.7 %, while a 1 % rise in gold prices correlates with a 0.5 % increase in pollution levels. These findings underscore the need for NICs to implement green investments, promote renewable energy, and initiate structural reforms to ensure sustainable development.
Rapid industrialization in recently industrialized countries (NICs) has exacerbated environmental degradation, raising urgent concerns about how energy consumption, gold prices, and fossil fuel prices contribute to this growing issue. This study aims to evaluate the asymmetric relationships between these factors and environmental degradation across 10 NICs, including Brazil, India, South Korea, Mexico, Indonesia, Turkey, Thailand, South Africa, Malaysia, and the Philippines, from 1995 to 2023. Using the CS-ARDL model, our study demonstrates that while energy costs and renewable energy consumption reduce environmental degradation, gold prices and fossil fuel consumption significantly increase ecological harm. Additionally, the study employs FGLS, CS-DL, AMG, and Driscoll-Kray to verify the robustness of these findings. Notably, the Environmental Kuznets Curve (EKC) hypothesis holds true in these economies. Key results show that a 1 % increase in renewable energy use decreases emissions by 0.7 %, while a 1 % rise in gold prices correlates with a 0.5 % increase in pollution levels. These findings underscore the need for NICs to implement green investments, promote renewable energy, and initiate structural reforms to ensure sustainable development.
作者机构：
[Hu, Sumin] Suzhou Univ Sci & Technol, Business Sch, Suzhou, Peoples R China.;[Wu, Haoqiang] Wuhan Polytech Univ, Sch Econ, Wuhan 430040, Peoples R China.
通讯机构：
[Haoqiang Wu] S;School of Economics, Wuhan Polytechnic University, Wuhan, People’s Republic of China
关键词：
Media pressure;green technology innovation;environmental sustainability;internal governance
摘要：
This paper has exaimed the causal effect between media pressure and corporate green innovation through the micro-perspective of internal governance. We find that media pressure is supposed to effectively improve the enterprise green technology innovation, ownership concentration, independent directors and salary incentives have a significant positive U-shaped regulatory effect on the relationship between media pressure and enterprise green technology innovation. CEO duality and equity incentives are significantly moderating the relationship between media pressure and corporate green technology innovation. As for property heterogeneity, media pressure effectively improves the enterprises green innovation performance of state-owned enterprises (SOEs) and non-state-owned enterprises (Non-SOEs). Specifically, the moderating effect of internal governance elements is consistent with the baseline results in the Non-SOEs sample, while ownership concentration inverted U-shape regulates this process and other internal governance elements are consistent with the baseline results and in the SOEs sample.
摘要：
Whether children who inherit social advantages or those who exhibit motivated hard work are more likely to attain superior well-being over time remains a critical question, yet has received little empirical examination. This paper aims to provide new evidence from China on this issue by deploying a natural experiment research design. The empirical analysis explores the link between early-life experiences shaped by parental family background and children’s long-term well-being outcome. Using household survey data from China, we find that children born with social advantages tend to complete more years of education in rural areas but fewer years in urban areas compared to their counterparts. Our results are robust to changing the cohort selection, outcome variables, and sources of the analytical sample.
作者机构：
[Li, Yihao; Chen, Hao] Dongshin Univ, Gen Grad Sch, Naju, Jeollanamdo, South Korea.;[Zhao, Weifeng; Zhang, TPM; Zhang, Tingpimei; Chen, Hao; Xu, Wei] Wuhan Polytech Univ, Food & Hlth Res Ctr, Wuhan, Hubei, Peoples R China.;[Zhao, Weifeng; Zhang, TPM; Zhang, Tingpimei; Xu, Wei] Wuhan Polytech Univ, Sch Econ, Wuhan, Hubei, Peoples R China.;[Zhao, Weifeng; Zhang, TPM; Zhang, Tingpimei; Xu, Wei] Wuhan Polytech Univ, Ctr Counyt Econ Dev Res Hubei, Wuhan, Hubei, Peoples R China.
通讯机构：
[Zhang, TPM ] W;Wuhan Polytech Univ, Food & Hlth Res Ctr, Wuhan, Hubei, Peoples R China.;Wuhan Polytech Univ, Sch Econ, Wuhan, Hubei, Peoples R China.;Wuhan Polytech Univ, Ctr Counyt Econ Dev Res Hubei, Wuhan, Hubei, Peoples R China.
摘要：
The "Internet Plus" era has established a closer connection between sports and individuals. This study used data from the 2018 China Family Panel Studies and focused on the middle- and younger-aged population aged 15 to 59 years. Employing a negative binomial regression model, this study empirically analyzed the impact of Internet use on physical exercise and its internal mechanisms among this population. The findings revealed that (1) Internet use significantly promoted physical exercise in the middle- and younger-aged population, with the frequency of physical exercise increasing to 1.549 times the original value; (2) The positive effects of the internet on physical exercise outweighed the negative effects, with online learning and entertainment enhancing physical exercise and online socialization limiting it. Specifically, online learning and entertainment increased the frequency of physical exercise among the middle- and younger-aged population by 0.063 and 0.018, respectively. Online socialization reduced the frequency by 0.023; and (3) The influence of internet use on physical exercise varies; significantly, it positively affects the exercise frequency among individuals over 35 years old and shows a positive correlation with employment status, including both employed individuals and those out of the labor market. The positive role of Internet use in encouraging physical exercise participation among the middle- and young-aged groups should be valued and enhanced.
