How can the “resource curse” be broken? Transition factor flows, the urban life cycle and value chain upgrades in resource-based cities DOI Creative Commons
Shuo Lu, Shuo Lu, Wenzhong Zhang

et al.

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 16, 2025

Language: Английский

Environmental policy uncertainty and green transformation dilemma of Chinese enterprises DOI
Chaobo Zhou, Shaozhou Qi, Yuankun Li

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122891 - 122891

Published: Oct. 14, 2024

Language: Английский

Citations

8

Evaluating renewable energy adoption in G7 countries: a TOPSIS-based multi-criteria decision analysis DOI Creative Commons

Ali Haddad Tabrizi,

Hossein Yousefi, Mahmood Abdoos

et al.

Discover Energy, Journal Year: 2025, Volume and Issue: 5(1)

Published: Jan. 6, 2025

The transition from conventional non-renewable and fossil fuels to renewable energies represents an innovative approach toward achieving environmental, economic, social sustainability. This has gained more importance due global warming environmental issues. A significant portion of carbon emissions energy consumption is attributed developed countries. Despite the many similarities, these countries have different performance in field energy. Thus, must be ranked according attitude renewables. To able identify beneficial harmful factors among them. In this article, G7 were by using TOPSIS method. use method used for first time survey it shows that new. For each country, a set primary data such as total power generation, generated source, dioxide emissions, etc. collected. Subsequently, five parameters calculated based on country: per dollar GDP, ratio renewables capita production capacity capita, population density, impact investment GDP. score was assigned seven ranking, Britain place Canada took last place. Notably European countries, which rely less resources, generally outperformed other nations, nations.

Language: Английский

Citations

1

Dynamic effects of uncertainty, risks, R&D, and innovation on global economic growth DOI Creative Commons

Hasibul Islam

Innovation and Green Development, Journal Year: 2025, Volume and Issue: 4(2), P. 100225 - 100225

Published: March 20, 2025

Language: Английский

Citations

1

Analysis of green total factor productivity in China's forestry industry: Technological, organizational, and environmental framework for sustainable economic development DOI
Jiale Yan, Cem Işık, Serdar Ongan

et al.

Sustainable Development, Journal Year: 2024, Volume and Issue: unknown

Published: June 19, 2024

Abstract As a green industry, forestry plays pivotal role in economic and ecological development. Green Total Factor Productivity (GTFP) is crucial indicator of progress. This paper employs the Non‐Radial Distance Function (NDDF) model to measure GTFP comprehensively. Additionally, it utilizes fuzzy set qualitative comparative analysis (fsQCA) explore pathways for enhancing across technological, organizational, environmental (TOE) dimensions. The study reveals following outcomes: Government financial support six additional antecedent conditions offer three distinct avenues boost forestry. Regional disparities emerge, with technology‐driven predominantly found eastern provinces, dual‐driven routes centered on average forest land size carbon sinks (FCS) taking precedence central paths driven by government FCS coming forefront western provinces. Under specific circumstances, foreign investment exhibit potential interchangeability, facilitating attainment elevated However, constraint arises from operating entities' low size. Ultimately, this equips policymakers nuanced understanding factors shaping forestry, enabling them craft compelling, regionally tailored policies that foster adaptability contribute sustainable development sector, recognizing one‐size‐fits‐all approach may not be suitable all regions.

Language: Английский

Citations

6

Global environmental sustainability: the role of economic, social, governance (ECON-SG) factors, climate policy uncertainty (EPU) and carbon emissions DOI
Cem Işık, Serdar Ongan,

Hasibul Islam

et al.

Air Quality Atmosphere & Health, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 18, 2024

Language: Английский

Citations

6

Natural resource development, economic policy uncertainty and urban residents’ consumption in China: a nonlinear ARDL and time-varying parameter vector autoregressive with stochastic volatility approach DOI Creative Commons

Tianxiang Long,

Xiangying Cui,

Jiale Yan

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2024, Volume and Issue: 38(7), P. 2563 - 2579

Published: March 29, 2024

Abstract Increased risks of economic policy uncertainty and overexploitation natural resources exist in China. At the same time, growth rate urban residents’ consumption has generally declined. The paper analyses role (EPU) resource exploitation on Based data from first quarter 2002 to third 2021, uses a nonlinear autoregressive distributed lag model verify asymmetric effects. Then constructs time-varying parameter vector with stochastic volatility term analyze responses. Impulse response analysis was used further explain relationship between three. negative impact rising EPU is larger than its reduction. Negative shocks development increase consumption. Positive reduce There non-linear effect been exacerbated by major crises such as financial crisis, COVID-19 post-crisis period. diminished after government introduced industrial upgrading policies environmental regulations. This study provides constructive suggestions for optimization improvement also enriches consumer theory new evidence curse hypothesis.

Language: Английский

Citations

5

Does digital transformation promote the green innovation of China’s listed companies? DOI
Peng Liang, Xinhui Sun

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: 26(9), P. 22199 - 22235

Published: May 25, 2024

Language: Английский

Citations

4

How Environment and Technology Affect the Regional Manufacturing Industry Development DOI Creative Commons
Yanming Sun,

Shaoshuai Tang,

Zixin Dou

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35321 - e35321

Published: July 29, 2024

To help the manufacturing industry achieve high-quality development, it is urgent to identify factors that affect development of regional manufacturing. Compared previous regression models, this article attempts discover nonlinear effects different on (RMID) and their future impact trends. Based theory new structural economics, we used order parameter analysis examine environmental pollution technology RMID. The results indicate that: (1) half cities promote industrial growth, but there are still three other situations: slow down (3/21), a slight downward trend (5/21), recession (2/21). (2) two-thirds adopt green while slows some have (4/21). conclusion as follows: Through comparison, found environment RMID remains roughly synchronous, currently promotion effect greater. We four technological paths can extend effectively promoting RMID's development. These suggestions will lay foundation for

Language: Английский

Citations

4

Promoting green taxation and sustainable energy transition for low-carbon development DOI Creative Commons
Gul Jabeen, Dong Wang, Stefania Pinzón

et al.

Geoscience Frontiers, Journal Year: 2024, Volume and Issue: unknown, P. 101928 - 101928

Published: Sept. 1, 2024

Language: Английский

Citations

4

Unravelling complexities: a study on geopolitical dynamics, economic complexity, R&D impact on green innovation in China DOI

Sun Ai-hui,

Cem Işık, Ummara Razi

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 14, 2024

Language: Английский

Citations

4