The government’s environmental attention and corporate green innovation: A threshold analysis and quantile regression approach DOI Creative Commons
Guo-yan Huang, Xiao Li, Zhen Chu

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(10), P. e0311154 - e0311154

Published: Oct. 31, 2024

Based on an analysis of 643 listed firms in clean technology sectors, this study explores the nonlinear impact government’s environmental attention (GEA) firms’ green innovation by exploiting threshold and quantile regression techniques Stata 17. We show that a double exists when level GEA is 51 or 104, above which positive cleantech significantly diminishes. The results from further indicate receive almost no benefits at lower levels innovation. Thus, policy-makers designing policies should consider marginal benefit wanes beyond certain levels, especially for lack sufficient enthusiasm

Language: Английский

Spatiotemporal evolution and driving factors of the synergistic effects of pollution control and carbon reduction in China DOI Creative Commons
Qinggang Meng, Xiaolan Chen, Hui Wang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113103 - 113103

Published: Jan. 1, 2025

Language: Английский

Citations

1
Digitalization Drives the Green Transformation of Agriculture-Related Enterprises: A Case Study of A-Share Agriculture-Related Listed Companies DOI Creative Commons

Yue Yuan,

Xiaoyang Guo, Yang Shen

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(8), P. 1308 - 1308

Published: Aug. 7, 2024

The advent of new digital technologies has catalyzed a disruptive technological revolution, fostering significant industrial changes and advancing the green transformation economy society. This paper investigates influence digitization on agribusiness firms, focusing agriculture-related companies listed Shanghai Shenzhen A-share markets from 2013 to 2021. Employing fixed-effect mediated-effect models, study examines mechanisms through which impacts these enterprises. findings indicate that relationship between in is non-linear; certain threshold must be achieved before it positively affects transformation. effect varies according nature business ownership, company size, supply chain flexibility, regional environmental regulations. reveals influences several promote economies scale, innovation, structural adjustments. While scale derived do not directly support transformation, they facilitate innovation adjustments enhance initiatives agribusiness.

Language: Английский

Citations

4
Quantifying Socio-Regional Variability via Factor Analysis over China: Optimizing Residential Sector Emission Reduction Pathways DOI Open Access
Zhao Yu, Prasanna Divigalpitiya

Environments, Journal Year: 2025, Volume and Issue: 12(2), P. 37 - 37

Published: Jan. 22, 2025

Policy synergy, the evidence-based coordination of public policies, can aid in more rapidly achieving air pollutant and carbon dioxide (CO2) emission reduction targets. Using logarithmic mean Divisia index (LMDI) decomposition, coupling degree (CCD), geographically temporally weighted regression (GTWR) models, we analyzed characteristics, drivers, pathways residential pollution across 30 Chinese provinces from 2001 to 2020. The southern produced than northern provinces, with gap widening after 2015. In sector, energy factors (LMDI decomposition result, 686,681.9) population size (14,331) had greater impacts on emissions structure, intensity, synergies, or GDP per capita. GTWR analysis CCD mechanism indicated that hydroelectricity urbanization enhanced southeast. Meanwhile, west, was improved by R&D investment, government spending industrial control, electricity consumption, capita cropland, temperature, urbanization. This provides a valuable reference for optimizing strategies.

Language: Английский

Citations

0
Economic and Technological Challenges in Zero-Emission Strategies for Energy Companies DOI Creative Commons
Piotr F. Borowski

Energies, Journal Year: 2025, Volume and Issue: 18(4), P. 898 - 898

Published: Feb. 13, 2025

The energy transition requires substantial financial investments and the adoption of innovative technological solutions. aim this paper is to analyze economic aspects implementing zero-emission strategies as a key component toward carbon-neutral economy. study assesses costs, benefits, challenges these strategies, with particular focus on wind farms nuclear power, including small modular reactors (SMRs). presents an in-depth examination examples, onshore offshore farms, well from both large-scale reactors. It highlights their construction operating associated challenges. investment required generate 1 MW varies significantly depending technology: range $1,300,000 $2,100,000, $3,000,000 $5,500,000, traditional power plants $5,000,000, while (SMRs) require between $5,000,000 $10,000,000 per MW. discussion underscores critical role in diversifying renewable sources addressing high capital requirements technical complexities emerging SMRs. By evaluating solutions, article contributes broader understanding essential for advancing sustainable future.

Language: Английский

Citations

0
Can digitalization promote cities' low-carbon development: Insights from local and neighboring regions DOI Creative Commons

Weijian Du,

Yuhuan Fan, Nini Yuan

et al.

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 58, P. 101680 - 101680

Published: March 1, 2025

Language: Английский

Citations

0
Achieve sustainable operation of agricultural enterprises: improving agribusiness performance through digital transformation DOI Creative Commons

Yue Yuan,

Hui Wu, Yang Shen

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 9

Published: April 9, 2025

Introduction Digital transformation (DT) refers to the process of leveraging digital technologies drive innovation in business models, thereby enabling enterprises create greater value and deliver innovative solutions for efficient agricultural production. Methods Using data from 211 listed companies China 2009 2022, this study investigates impact pathways through which DT influences financial performance (FP), employing a range methodologies. To enhance text mining accuracy, research incorporates natural language processing (NLP) large models (LLM). Results The findings indicate that within enterprises’ production, purchasing, sales departments significantly enhances FP. address potential endogeneity concerns, robustness checks were conducted using propensity score matching (PSM), Heckman two-stage model, least squares (2SLS) method. Mechanism analysis reveals improves FP three primary channels: reducing expenses, easing cost stickiness, promoting breakthrough innovation. However, positive effects exhibit heterogeneity. These are more pronounced non-state-owned enterprises, larger firms, located major grain-producing regions. Conclusion This validates necessity use technology improve age. By expanding measurement methods DT, provides valuable insights seeking leverage tools optimize production efficiency.

Language: Английский

Citations

0
The government’s environmental attention and corporate green innovation: A threshold analysis and quantile regression approach DOI Creative Commons
Guo-yan Huang, Xiao Li, Zhen Chu

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(10), P. e0311154 - e0311154

Published: Oct. 31, 2024

Based on an analysis of 643 listed firms in clean technology sectors, this study explores the nonlinear impact government’s environmental attention (GEA) firms’ green innovation by exploiting threshold and quantile regression techniques Stata 17. We show that a double exists when level GEA is 51 or 104, above which positive cleantech significantly diminishes. The results from further indicate receive almost no benefits at lower levels innovation. Thus, policy-makers designing policies should consider marginal benefit wanes beyond certain levels, especially for lack sufficient enthusiasm

Language: Английский

Citations

0