Integrating renewable energy systems: Assessing financial innovation, renewable energy generation intensity, energy transition and environmental regulation with renewable energy sources DOI Creative Commons
Xin Zhang, Dan Feng,

Jingchun Wang

и другие.

Energy Strategy Reviews, Год журнала: 2024, Номер 56, С. 101567 - 101567

Опубликована: Окт. 30, 2024

Язык: Английский

Do green finance and hi-tech innovation facilitate sustainable development? Evidence from the Yangtze River Economic Belt DOI
Lixia Zhang, Huaping Sun,

Tianlong Pu

и другие.

Economic Analysis and Policy, Год журнала: 2024, Номер 81, С. 1430 - 1442

Опубликована: Фев. 7, 2024

Язык: Английский

Процитировано

73

The impact of green finance on persistence of green innovation at firm-level: A moderating perspective based on environmental regulation intensity DOI

Ruifeng Jing,

Ruizhi Liu

Finance research letters, Год журнала: 2024, Номер 62, С. 105274 - 105274

Опубликована: Март 21, 2024

Язык: Английский

Процитировано

23

Towards sustainable development: Exploring the spillover effects of green technology innovation on energy markets and economic cycles DOI
Kai‐Hua Wang,

Cui-Ping Wen,

Hai Long

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 203, С. 123368 - 123368

Опубликована: Апрель 4, 2024

Язык: Английский

Процитировано

19

The Impact of Social Investment and Green Finance on Sustainable Development: Evidence From Emerging Market Economies DOI Open Access
Yasir Ahmed Solangi, Rakan Alyamani, Muhammad Nadeem Asghar

и другие.

Sustainable Development, Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

ABSTRACT This study examines how social investment and green finance affect sustainable development (SDE) in 16 emerging market economies from 2014 to 2022. Truncated regression, Prais‐Winsten single‐equation instrumental variables (IV) regression models were applied for the empirical analysis. The findings reveal that have positive effects, whereas poverty ecological footprint negatively SDE. Social reduces negative impact of on SDE by enhancing human reducing economic vulnerability, confirming moderation impact. Juodis‐Karavias‐Sarafidis (JKS) panel's non‐causality analysis confirms causal relationship between variables. recommends markets allocate more resources initiatives limit their consumption natural avoid consequences a high footprint. implies doing going is essential meeting sustainability challenges post‐modern era economies.

Язык: Английский

Процитировано

3

Towards Paris Climate Agreement goals: The essential role of green finance and green technology DOI
Tianyu Li, Xiao‐Guang Yue, Meng Qin

и другие.

Energy Economics, Год журнала: 2023, Номер 129, С. 107273 - 107273

Опубликована: Дек. 19, 2023

Язык: Английский

Процитировано

39

Nexus between green finance development and green technological innovation: A potential way to achieve the renewable energy transition DOI
Rui Bai, Boqiang Lin

Renewable Energy, Год журнала: 2023, Номер 218, С. 119295 - 119295

Опубликована: Сен. 11, 2023

Язык: Английский

Процитировано

32

Establishing the relationship between the strategic factors influencing blockchain technology deployment for achieving SDG and ESG objectives during infrastructure development: an ISM-MICMAC approach DOI

Atul Kumar Singh,

V.R. Prasath Kumar

Smart and Sustainable Built Environment, Год журнала: 2024, Номер 13(3), С. 711 - 736

Опубликована: Март 22, 2024

Purpose Implementing blockchain in sustainable development goals (SDGs) and environmental, social governance (ESG)-aligned infrastructure involves intricate strategic factors. Despite technological advancements, a significant research gap persists, particularly emerging economies. This study aims to address the challenges related SDGs ESG objectives during delivery remain problematic, identifying evaluating critical factors for successful implementation. Design/methodology/approach employs three-stage methodology. Initially, 13 are identified through literature review validated by conducting semi-structured interviews with six experts. In second stage, data were collected from nine additional final undergoes analysis using interpretive structural modeling (ISM)–cross-impact matrix multiplication applied classification (MICMAC), aiming identify evaluate independent dependent powers of driving implementation objectives. Findings The study’s findings highlight three crucial successfully integrating technology (BT) into goals: security (F4), identity management (F8) supply chain (F7). unravels these factors, hierarchical relationships dependencies applying MICMAC ISM techniques, emphasizing their interconnectedness. Originality/value highlights integration SDG ESG-aligned development, offering insights policymakers practitioners while importance training support advancing practices.

Язык: Английский

Процитировано

13

Assessing the impact of natural capital and innovation on sustainable development in developing countries DOI
Muhammad Nadeem Asghar, Nidhaleddine Ben Cheikh, Ahmed Imran Hunjra

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 460, С. 142576 - 142576

Опубликована: Май 15, 2024

Язык: Английский

Процитировано

13

Receiver or transmitter? Unlocking the role of green technology innovation in sustainable development, energy, and carbon markets DOI
Kai‐Hua Wang,

Cui-Ping Wen,

Baochang Xu

и другие.

Technology in Society, Год журнала: 2024, Номер 79, С. 102703 - 102703

Опубликована: Авг. 30, 2024

Язык: Английский

Процитировано

13

Impact on green finance and environmental regulation on carbon emissions: evidence from China DOI Creative Commons
Xiaoyang Guo,

Jingyi Yang,

Yang Shen

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Фев. 7, 2024

Introduction: Achieving peak carbon dioxide emissions and neutrality is an extensive profound systematic economic social change. Through market-oriented financial means, green finance has moved forward the effective governance port, curbed polluting investment promoted technological progress such as low-carbon, energy conservation environmental protection, which become a powerful starting point to support practice of low-carbon development. Methods: Based on panel data 30 provinces in China (except Tibet, Hongkong, Macau Taiwan Province) from 2004 2021, this paper calculates development level by using entropy weight method, basis, uses mathematical statistical model verify impact its sub-dimensions regulatory effect heterogeneous regulation tools. Results: The results show that significant inhibitory during investigation period, there time lag effect. After series robustness tests considering endogenous problems, conclusion still holds. From heterogeneity analysis, emission reduction credit most obvious, slightly different regions. Besides, Command-controlled tools public participation play positive role transmission path finance’s emissions, but market-driven cannot effectively enhance Discussion: research provide basis for government formulate flexible, accurate, reasonable appropriate policies, help strengthen exchange cooperation between regions reducing fixing carbon, actively steadily promote China’s goal “peak neutrality”.

Язык: Английский

Процитировано

11