Exploring the impact of natural resource dependence on green technology innovation: New insights from China DOI
Yang Xu, Xia Liu, Liu Yang

и другие.

Resources Policy, Год журнала: 2023, Номер 86, С. 104051 - 104051

Опубликована: Авг. 30, 2023

Язык: Английский

ESG performance and green innovation: An investigation based on quantile regression DOI
Han Long,

Gen‐Fu Feng,

Qiang Gong

и другие.

Business Strategy and the Environment, Год журнала: 2023, Номер 32(7), С. 5102 - 5118

Опубликована: Март 25, 2023

Abstract Using panel data from 37 countries 1990 to 2019 and applying a quantile regression approach with fixed effects, we investigate the impact of national Environmental, Social, Governance (ESG) performance on green innovation how this varies across different capacity distributions. The research conclusions are as follows. (1) National ESG improvement significantly promotes innovation. (2) environmental governance innovation, but in weak capabilities, social reduces output (3) role promoting is stronger capabilities. (4) In non‐high‐income countries, capability is, more obvious promotion findings paper provide empirical evidence policy basis for governments focus improving commit activities effectively.

Язык: Английский

Процитировано

116

Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects DOI

Qiang Wang,

Tingting Sun,

Rongrong Li

и другие.

Energy & Environment, Год журнала: 2023, Номер unknown

Опубликована: Дек. 25, 2023

This paper investigates the intricate relationship between artificial intelligence (AI) and green innovation within context of sustainable development goals. As societies strive to achieve sustainability, understanding dynamics technological advancements environmental progress becomes paramount. Drawing from panel data encompassing 51 countries 2000 2019, this study employs fixed-effects models, mediated effects spatial Durbin models meticulously examine influence AI on innovation. The empirical findings reveal a robust significantly positive correlation innovation, highlighting critical role in fostering Heterogeneity analysis across developed developing economies delineates variations impact shedding light economic levels financial structures. Developed nations showcase more pronounced AI-green compared their counterparts, complexities technology adoption distinct landscapes. Moreover, delves into transmission mechanisms underlying nexus, revealing mediating roles industrial structure human capital. Industrial upgrading enhancement capital emerge as crucial pathways through which indirectly stimulates Spatial analyses reveals relevance globally, emphasizing AI's substantial not only domestic spheres but also neighboring regions. There are significant direct, indirect, total its spillover characteristics catalytic it plays driving collaborative global scale. research contributes nuanced insights interplay providing foundation for policymakers, businesses, researchers comprehend multifaceted dimensions interventions emphasize imperative efforts utilizing potential propel thereby advancing sustainability agendas.

Язык: Английский

Процитировано

94

Extreme climate, innovative ability and energy efficiency DOI
Haijie Wang, Kai Tang

Energy Economics, Год журнала: 2023, Номер 120, С. 106586 - 106586

Опубликована: Фев. 23, 2023

Язык: Английский

Процитировано

61

Volatility spillover and hedging strategies between the European carbon emissions and energy markets DOI Creative Commons
Jian Liu, Yue Hu, Lizhao Yan

и другие.

Energy Strategy Reviews, Год журнала: 2023, Номер 46, С. 101058 - 101058

Опубликована: Янв. 26, 2023

Much attention has been paid to the complex risk transmission between carbon and energy markets along with increasing global financial market integration. This research thus uses DCC-MVGARCH model spillover index method investigate volatility linkages European emissions markets. The results make it clear that there are indeed correlations bidirectional effects for above two In particular, dramatically change when economic turbulence political events occur. Apart from strongest correlation coal markets, effect renewable is gradually increasing. role of also changing: net information recipient becomes a transmitter phase II IV. Therefore, our findings provide investors flexible portfolio strategies by making full use dynamic gives decision-making basis regulators improve market's management mechanism. It means should pay close potential sources. Further policy recommendations put forward in conclusion section.

Язык: Английский

Процитировано

57

Green innovation, natural extreme events, and energy transition: Evidence from Asia-Pacific economies DOI
Jia Wang, Jun Wen,

Xiaoyang Wang

и другие.

Energy Economics, Год журнала: 2023, Номер 121, С. 106638 - 106638

Опубликована: Март 24, 2023

Язык: Английский

Процитировано

55

The impact of digital economy on renewable energy development in China DOI Creative Commons
Mingbo Zheng,

Chun Yee Wong

Innovation and Green Development, Год журнала: 2023, Номер 3(1), С. 100094 - 100094

Опубликована: Авг. 24, 2023

Digital economy has been the essential driving force for green development and energy transition, while role of digital in renewable remains limited. This paper explores how alters China. Based on panel data 31 provinces fixed effects model, this finds a positive association between development. The exhibits stronger impact hydro compared to wind solar energy. Local government intervention can enhance development, reducing effect We also find that produces larger promoting central western with eastern provinces.

Язык: Английский

Процитировано

55

Green finance, environment regulation, and industrial green transformation for corporate social responsibility DOI
Di Chen, Haiqing Hu, Chun‐Ping Chang

и другие.

Corporate Social Responsibility and Environmental Management, Год журнала: 2023, Номер 30(5), С. 2166 - 2181

Опубликована: Март 10, 2023

Abstract In order to meet the strategic goals of carbon peak and neutralization on schedule, it is crucial examine effects limitations green finance transformation industry. This research utilizes entropy method, Global Malmquist–Luenberger technique, panel data 30 provinces in China from 2005 2018 estimate extent industrial development each province. It builds static dynamic models experimentally effect transformation. After introducing environmental regulation (ER), this paper presents how ER influences link between The finds following. (1) According geographical differences growth transformation, economically developed east region more advanced than central west regions, region. (2) Green has a significantly positive impact influence certain continuity inertia. (3) Environmental favorable transformation; specifically, rise level stimulates process that boosts policy recommendations herein offer reference for construction China's financial system promotion CSR.

Язык: Английский

Процитировано

53

Impact of digital transformation on performance of environment, social, and governance: Empirical evidence from China DOI

Quan‐Jing Wang,

Hai‐Jie Wang,

Gen‐Fu Feng

и другие.

Business Ethics the Environment & Responsibility, Год журнала: 2023, Номер 32(4), С. 1373 - 1388

Опубликована: Июль 12, 2023

Abstract This research empirically investigates the static and dynamic impacts of firms' digital transformation on environmental, social, governance (ESG) performance by employing data listed Chinese companies from 2011 to 2020 via estimations propensity score matching difference in differences. First, we find that does some good improve ESG, which is confirmed after conducting several robustness tests. Second, benefits three aspects ESG (environmental performance, social responsibility, governance), its impact dynamic, promote two years reform. Third, not constant among different firms. Specifically, transformation's stronger firms located western or central regions China those polluting competitive industries, as well non‐stated‐owned enterprises.

Язык: Английский

Процитировано

52

From traditional innovation to green innovation: How an occurrence of natural disasters influences sustainable development? DOI
Yan Ma,

Gen‐Fu Feng,

Chun‐Ping Chang

и другие.

Sustainable Development, Год журнала: 2023, Номер 32(3), С. 2779 - 2796

Опубликована: Ноя. 7, 2023

Abstract With the high incidence of extreme events, it is important to examine how occurrence natural disasters influences long‐term sustainable development. We give evidence from changing process innovation. Using data OECD countries 1985 2018, we conclude that environmental threats drive pay more attention development and promote change innovation type traditional green Moreover, for different types disasters, volcanic activities, landslides, floods show a positive influence, while epidemics dampen it. Based on sub‐sample analysis, this impact pronounced in with levels economic development, oil exports right‐wing parties power. Furthermore, renewable energy consumption acts as moderator, moderating effects government efficiency, corruption globalization are inhibiting. Our paper provides new insights into disaster economics

Язык: Английский

Процитировано

50

The impact of extreme weather events on green innovation: Which ones bring to the most harm? DOI
Jun Wen, Xinxin Zhao, Qiang Fu

и другие.

Technological Forecasting and Social Change, Год журнала: 2023, Номер 188, С. 122322 - 122322

Опубликована: Янв. 16, 2023

Язык: Английский

Процитировано

48