Government participation in low-carbon technology transfer: An evolutionary game study

Zou, Chunxia; Huang, Yun‐Feng; Hu, Shiliang; Li, Mingguang

doi:10.1016/j.techfore.2023.122320

Cited by 25 publications

(14 citation statements)

References 39 publications

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“…They examined the relationship between rural public financial input and farmer revenue by collecting relevant data from 1998 to 2018. There is evidence that the government's financial investment in rural health care is negatively correlated with farmers' income, despite the fact that the government's financial investment in rural education is considered to have a positive impact on farmers' income growth (Zou et al, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

The Efficiency of Rural Public Finance Inputs in Promoting Rural Revitalization: Empirical Analysis Based on Henan Province, China

Chen²,

Zheng

et al. 2023

REA

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The No.1 document of the Central Government of China has been on the theme of "agriculture, rural areas and farmers" for nearly ten years, placing the solution of "agriculture, rural areas and farmers" at the forefront of the Chinese government's work. Located in the Central Plains, Henan Province in China is one of the major agricultural provinces in China and plays an extremely important role in the field of agricultural production in China. This paper uses an empirical approach and the DEA-Malquist model to study the efficiency of rural public financial inputs to rural revitalisation in Henan Province. The results show that due to different levels of regional economic development, the efficiency of rural public finance investment in Henan Province in promoting rural revitalisation varies, and there is a phenomenon of unreasonable allocation of funds. At the same time, the region's agricultural base also has a greater impact on the efficiency of financial investment. Therefore, Henan Province should adjust measures according to the different regional economic levels and agricultural bases to improve the efficiency of the use of fiscal funds.

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Section: Literature Reviewmentioning

confidence: 99%

The Efficiency of Rural Public Finance Inputs in Promoting Rural Revitalization: Empirical Analysis Based on Henan Province, China

Chen²,

Zheng

et al. 2023

REA

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Section: Ai-driven Business Model Innovation and Carbon Neutral Businessmentioning

confidence: 99%

“…According to current studies, AIDBMI presents a substantial opportunity for enterprises looking to become carbon neutral. Businesses may significantly reduce their carbon footprint by using AI to improve supply chains, buildings, energy management, and the integration of renewable energy sources (Trischler & Li‐Ying, 2023; C. Zou et al, 2023). According to Cigaina and Riss (2016), using these technologies—which are now powered by AI capabilities—may actually enhance existing business models, open up new avenues for growth, and enhance the value that is provided to clients, all of which will promote TOE theory.…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

“…There is no way to overestimate the importance of solving climate change. As greenhouse gas emissions continue to rise, the adverse impacts on ecosystems, human health, and the global economy become increasingly apparent (J. Wang, Dong, et al, 2022; B. Yu et al, 2022; C. Zou et al, 2023). Governments, businesses, and civil society are now recognizing the pressing need to mitigate these effects and transition towards a sustainable future (Arun et al, 2021; Tandon et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

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Artificial intelligence (AI)‐driven strategic business model innovations in small‐ and medium‐sized enterprises. Insights on technological and strategic enablers for carbon neutral businesses

Shaik,

Alshibani,

Jain

et al. 2023

Bus Strat Env

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This study investigates the enhancement of technological and strategic enablers for carbon‐neutral businesses (CNB) through artificial intelligence (AI)‐driven business model innovation (AIDBMI). Drawing upon the insights gained from the literature review, the study employs structural equation modeling (partial least squares structural equation modeling [PLS‐SEM]) as the methodology to examine the relationships between AIDBMI, technological enablers, strategic enablers, and the attainment of carbon neutrality. The sample size consists of 326 small‐ and medium‐sized enterprises (SMEs) in the United States of America. The findings of this study affirm the significant positive relationships between AIDBMI and both technological and strategic enablers for CNB. The utilization of AI technologies proves to be instrumental in fostering the development and implementation of innovative business models that integrate sustainability practices and address environmental challenges. By leveraging AIDBMI, SMEs can harness technological advancements to adopt energy‐efficient processes, embrace renewable energy solutions, and implement effective carbon reduction strategies. Moreover, the study highlights the critical role of strategic enablers in driving the transition towards carbon neutrality. The alignment of sustainability goals with organizational strategies, stakeholder collaboration, and employee engagement emerge as pivotal factors in enabling SMEs to effectively utilize AIDBMI and leverage technological advancements to achieve carbon neutrality. The implications of this study contribute to the existing literature by highlighting the importance of technological and strategic enablers in creating CNB. By integrating AIDBMI, organizations can drive sustainable transformations, optimize their operations, and align their resource management with sustainable practices. These insights provide valuable guidance for SMEs, policymakers, and researchers seeking to foster sustainable practices, promote carbon neutrality, and contribute to the advancement of a low‐carbon economy.

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“…In previous studies, many scholars focused on the relationship between green technology innovation and carbon emission reduction and conducted rich discussions using different research objects. Although there is a theoretical indication of a positive correlation between the extent of green technology adoption and carbon emission reduction, consensus has not been reached in existing studies regarding the impact of green technology innovation on this relationship (Zhang et al, 2023;Zou et al, 2023). The varying impacts of green technology innovation on carbon dioxide emissions can be attributed to the "rebound effect" observed during the technology application process (Kuang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Guided by the goal of "double carbon", what is the carbon emission reduction effect of the promotion and application of green technology in China?

Li,

Wang,

Wang

2023

Preprint

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This study analyzes the carbon reduction impact mechanism by constructing a spatial Durbin model based on citations of green technology patents from listed enterprises in 30 Chinese provinces between 2011 and 2020. The specific research findings are as follows: (1) The popularization and application of green technology can restrain carbon emission intensity, and has significant “space spillover” and “dry learning” effect; (2) The mediating effect test examines the role of energy structure and industrial structure in mediating the impact of green technology promotion and application on regional carbon emission reduction; (3) The analysis of linear regulation consists of two parts: Linear analysis and nonlinear analysis; (4) In terms of heterogeneity analysis, the carbon emission reduction effect of green technology popularization and application has significant regional heterogeneity and factor endowment heterogeneity. The research conclusions provide the enlightenment for the coordination of China’s economic transition to green development.

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Government participation in low-carbon technology transfer: An evolutionary game study

Cited by 25 publications

References 39 publications

The Efficiency of Rural Public Finance Inputs in Promoting Rural Revitalization: Empirical Analysis Based on Henan Province, China

The Efficiency of Rural Public Finance Inputs in Promoting Rural Revitalization: Empirical Analysis Based on Henan Province, China

Artificial intelligence (AI)‐driven strategic business model innovations in small‐ and medium‐sized enterprises. Insights on technological and strategic enablers for carbon neutral businesses

Guided by the goal of "double carbon", what is the carbon emission reduction effect of the promotion and application of green technology in China?

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