Published: Jan. 1, 2025
Language: Английский
Published: Jan. 1, 2025
Language: Английский
Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)
Published: March 5, 2025
Language: Английский
Citations
1Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 1222 - 1222
Published: Feb. 3, 2025
China’s manufacturing industry is characterized by high energy consumption and pollution, which urgently requires resolution through green technological innovation. This study focuses on A-share listed enterprises to explore their development path for The primarily employs statistical regression analysis uncover the causal link between digitalization technology study’s conclusion indicates that of has significantly promoted remains robust after a series tests, including alternative variable measurements, instrumental (IV) estimation, counterfactual analysis. Mechanism reveals can enhance innovation improving human capital innovating business models. results heterogeneity show effect promoting more pronounced in with higher awareness among senior executives, credit, non-heavy pollution industries, level existing innovation, larger enterprise scale. government should increase support digital transformation promote enhancing optimizing credit policies, formulating policies heavily polluting enterprises, implementing differentiated based scale, transformation.
Language: Английский
Citations
0Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2175 - 2175
Published: March 3, 2025
At present, China’s manufacturing industry is urgently in need of a transition, as well an upgrade from low- to high-end production. Concurrently, digital technology continues advance, the enterprise-level transformation anticipated emerge new “engine” driving technological innovation. This study centered on A-share listed enterprises, we aim explore impact Employing fixed-effect model, instrumental variable method, and propensity score matching, combined with difference-in-differences approach, threshold regression, quantile regression empirically examine influence innovation within sector. Our findings reveal following: (1) Digital enhances (2) Mediation analysis indicates that boosts by mitigating cost stickiness. (3) The heterogeneity shows effect more pronounced larger particularly those lower intensity, asset stronger capabilities. outcome this provides decision-making reference for governments whereby government can formulate industrial fiscal policies, helping enterprises carry out through policy guidance support. Enterprises differentiated strategies based their own characteristics, optimize structure transformation, release resources innovation, improve
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0