
Energy Strategy Reviews, Год журнала: 2024, Номер 56, С. 101567 - 101567
Опубликована: Окт. 30, 2024
Язык: Английский
Energy Strategy Reviews, Год журнала: 2024, Номер 56, С. 101567 - 101567
Опубликована: Окт. 30, 2024
Язык: Английский
Economic Analysis and Policy, Год журнала: 2024, Номер 81, С. 1430 - 1442
Опубликована: Фев. 7, 2024
Язык: Английский
Процитировано
73Finance research letters, Год журнала: 2024, Номер 62, С. 105274 - 105274
Опубликована: Март 21, 2024
Язык: Английский
Процитировано
23Technological Forecasting and Social Change, Год журнала: 2024, Номер 203, С. 123368 - 123368
Опубликована: Апрель 4, 2024
Язык: Английский
Процитировано
19Sustainable 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
3Energy Economics, Год журнала: 2023, Номер 129, С. 107273 - 107273
Опубликована: Дек. 19, 2023
Язык: Английский
Процитировано
39Renewable Energy, Год журнала: 2023, Номер 218, С. 119295 - 119295
Опубликована: Сен. 11, 2023
Язык: Английский
Процитировано
32Smart 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
13Journal of Cleaner Production, Год журнала: 2024, Номер 460, С. 142576 - 142576
Опубликована: Май 15, 2024
Язык: Английский
Процитировано
13Technology in Society, Год журнала: 2024, Номер 79, С. 102703 - 102703
Опубликована: Авг. 30, 2024
Язык: Английский
Процитировано
13Frontiers 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
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