Green Technology Innovation Research Articles

What were the spatiotemporal evolution characteristics and influencing factors of global land use carbon emission efficiency? A case study of the 136 countries

Nations worldwide must collaborate to tackle the challenge of improving carbon emission efficiency and optimizing land use effectively. This study extends the study area from provinces and cities, regional city clusters, and countries to 136 major countries in the world, and shows the differences between countries. The paper analyzed the spatiotemporal evolution characteristics and influencing factors of land use carbon emission efficiency (LCEE) in these 136 countries from 2000 to 2019 using the super-efficiency slacks-based measure data envelopment analysis (Super-SBM DEA) model, global malmquist index, spatial autocorrelation measurement tools and Spatial Durbin model. It can help to promote low-carbon and green development while simultaneously improving the global LCEE. The findings indicate that: (1) Over the study period, there is a trend toward a decline in the LCEE worldwide. (2) The primary cause of the worldwide LCEE’s declining trend during the study period is the reduction in technical efficiency. (3) The low-low cluster type accounts for more, while the high-high agglomeration type accounts for less and exhibits a sluggish growth pattern. On the whole, there is a phenomenon of non-aggregation and non-uniformity. It is necessary to increase the driving effect of high-high cluster radiation. (4) Economic development level, investment level, population size, public service level and environmental sustainability level all have a significant impact on LCEE, while industrial development level has no significant impact on LCEE. From a global perspective, the radiation driving role of countries with high LCEE should be increased. Improve the efficiency and technological level of land use emission in light of local conditions, and promote independent innovation in green and low-carbon technologies. This is conducive to the establishment of long-term low-carbon growth.

Digital transformation and green total factor productivity in the semiconductor industry: The role of supply chain integration and economic policy uncertainty

Digital transformation has become a critical factor in reshaping firms towards sustainable development, while how digital transformation affects firm-level green total factor productivity (TFP) in the semiconductor industry remains unclear. This paper examines the relationship between digital transformation and green TFP using a sample of 193 Chinese-listed semiconductor companies from 2007 to 2022. The findings suggest that digital transformation improves green TFP, and the core results still hold after various robustness checks. Digital transformation impacts green TFP mainly through improving resource allocation efficiency and stimulating green technology innovation. In addition, the effect of digital transformation on green TFP can be strengthened by supply chain integration while impaired by economic policy uncertainty. Last, heterogeneous effects across regions are identified, illustrating more pronounced effects in regions with high environmental regulation and marketization and in the eastern areas. The semiconductor companies in the growth and mature stages and non-state-owned companies are more affected. This study demonstrates that digital transformation can drive semiconductor companies’ growth and environmental protection, which provides practical suggestions for green transformation.

The industrial internet and green technology innovation

This study selects a sample of A-share listed companies in China's heavy pollution industry from 2014 to 2022 to examine the impact of the industrial Internet on enterprises’ green technology innovation. Based on the findings, the application of the industrial Internet not only improves the level of green technology innovation among enterprises in China's heavy pollution industry, but it also improves their organizational capacity to promote such innovation. In addition, the application of the industrial Internet is more conducive to the improvement of green technology innovation in state-owned enterprises, compared to private enterprises.

Contract adoption of motivating green technological innovation in a supply chain

AbstractGreen technological innovation has been widely recognized around the world; however, consumer environmental awareness may result in uncertain market demand growth and lead to manufacturers’ risk‐averse attitude towards green technological innovation. This paper focuses on the contract adoption problem of a risk‐averse manufacturer who is responsible for green technological innovation, through a resell contract (RC) or agency contract (AC) with a retail platform. Stackelberg models are built, and the conditional value at risk method is used to measure the manufacturer's risk‐averse behavior. The differences between two contracts are compared. We find that when the commission rate is less than some threshold, the green technological level under AC is greater than that under RC regardless of the fixed cost coefficient, otherwise the green technological level under RC is higher. Further, there is the dual excellent region for AC and RC where the manufacturer can not only obtain a higher level of green technology but also achieve better utility. Finally, consumer surplus and social welfare under two contracts are performed through numerical experiments.

Optimal strategy for enterprises’ green technology innovation considering individual disappointment avoidance and altruistic reference based on differential game theory

Optimal strategy for enterprises’ green technology innovation considering individual disappointment avoidance and altruistic reference based on differential game theory

Accessing the efficacy of green growth, energy efficiency, and green innovation for environmental performance in top manufacturing nations in the framework of sustainable development

AbstractIn recent years, the quality of the environment has declined dramatically as a result of human activities, which threaten the sustainability of our ecosystem. In this context, a number of earlier studies have investigated the environmental problems through the lens of different environmental indicators such as ecological footprint and carbon dioxide emissions. However, it is possible that by taking these factors into account, the supply side of environmental quality will be neglected. This research seeks to address this deficiency by investigating the impact of green growth, energy efficiency, green technology innovation, economic growth, trade openness, and human capital on the level of load capacity factor. This indicator places equal emphasis on the supply and demand sides of the ecosystem by taking into account both ecological footprint and bio capacity. In this setting, the present study makes use of CS-ARDL model for the top 10 manufacturing countries from the years 1990 to 2019. The short- and long-run findings of the CS-ARDL model unveil that green growth, energy efficiency, green technology innovation, and human capital all positively influence the load capacity factor, suggesting that these factors help the top 10 manufacturing countries to improve their sustainability limits. In contrast, trade openness and economic expansion in underlying countries increase environmental degradation by lowering the level of LCF. These outcomes are also validated by the AMG and CCEMG approaches and the granger causality test. On the basis of the findings, important policy recommendations are presented with the aim of assisting the top 10 manufacturing economies in enhancing the quality of their environment and fulfilling the United Nations Sustainable Development Goals.

Does digital transformation promote local-neighborhood green technology innovation?－based on the panel data of Chinese a-share listed companies from 2011 to 2021

As China's economy continues to grow rapidly, the importance of green and sustainable development is increasingly prominent. In this context, enterprises have undergone significant changes in all aspects of the value creation process. Based on the data of Chinese a-share listed companies from 2011 to 2021, this paper links the digital transformation of enterprises with the green technology innovation of enterprises. The focuses on the relationship between the enterprises' digital transformation and the enterprises' green innovation and its Local-neighborhood effect. Research shows that the digital transformation of enterprises will promote the enterprise green technology innovation, and this relationship will have a Local-neighborhood effect in different regions, and this spatial spillover effect is mainly achieved through the transfer of high-tech industries between regions. The results of heterogeneity test show that the effect of green technology innovation is the strongest in Beijing-Tianjin-Hebei economic circle, and the weakest in Pearl River Delta economic circle. Based on the spatial econometric model, this paper provides empirical evidence for the government and the state to formulate the regional development strategy of enterprises' digital transformation and green innovation.

Can the Water Resource Fee-to-Tax Reform Promote the “Three-Wheel Drive” of Corporate Green Energy-Saving Innovations? Quasi-Natural Experimental Evidence from China

The long-standing, unrestrained utilization of energy resources by China’s manufacturing sector has created irreversible obstacles to regional sustainable development. Consequently, the Chinese government has implemented a water resource tax policy in certain regions, with the aim of compelling manufacturing enterprises to adopt green and energy-saving innovations. This study used panel data from Chinese manufacturing companies listed on the A-share market from 2009 to 2020 and employed a double machine learning model to explore whether the water resource fee-to-tax reform can compel enterprises to enhance their tripartite green energy-saving innovation drive. These innovations consist of vision-driven and mission-driven green energy-saving technological innovations and green management energy-saving innovations. Following a quasi-natural experiment, our findings revealed the following: (1) The water resource fee-to-tax policy promoted the internal coupling coordination of the triple-driven system. (2) The policy compelled progress in mission-driven green energy-saving technological innovations and green energy-saving management innovations but hindered vision-driven green energy-saving technological innovations. (3) Within the internal systems of manufacturing enterprises, green energy-saving management innovations play a positive mediating role between the water resource fee-to-tax policy and the mission-driven green energy-saving technology innovation subsystem, but they lack a similar positive mediating mechanism for the vision-driven green energy-saving technology innovation subsystem. (4) The counterfactual framework verified that the mechanistic pathway “water resource fee-to-tax → green energy-saving management innovation → mission-driven/vision-driven green energy-saving technological innovation” could be further extended to other manufacturing enterprises not currently under policy compulsion. (5) In the interaction system between manufacturing enterprises and external markets, the development of marketization and financial technology positively regulated the promoting effect of the water resource fee-to-tax policy on mission-driven green energy-saving technological innovations and green energy-saving management innovations, but it did not have a similar effect on vision-driven green energy-saving technological innovations.

ECONOMIC ASPECTS OF USING THE POTENTIAL OF BIOENERGY CROPS FOR BIOGAS PRODUCTION AND ADVANCED TECHNOLOGIES FOR DIGESTATE APPLICATION

The research examines the prospects for using the potential of the agro-industrial complex of Ukraine to study green technology innovations during economic development under martial law. Based on the study, it is proved that technological innovations in the agricultural sector contribute to economic development and improve the quality of agricultural land. The article analyses the successful implementation of the case of LLC Yuzhef-Mykolayiv Biogas Company, which has successfully restructured the production of a sugar plant and produces biogas and digestate with further processing into electricity and fertiliser. The modern capacities of the studied enterprise are highlighted, which allow to produce 2800 m3 of biogas and ensure the production of 5200 kWh of electricity, while consumption does not exceed 150 kW, at a load of 80%. The volume of digestate produced per year is 100,000 tonnes. In the regional context, innovative environmental technologies aimed at improving the quality of agricultural land have been introduced. An effective mechanism of spatial synergy with adaptation of this practice at most sugar factories through restructuring of production - creation of biogas production facilities on the basis of sugar factories - is proposed. As a long-term development perspective, the paper presents further creation of alcohol production facilities to use excess heat energy from mini-thermal power plants for the production of alcohol and bioethanol. Furthermore, this study confirms the non-linear effect of economic development; a significant result shows that the impact of green technology innovations on improving the quality of agricultural land (soil humus content, amount of mineral and organic fertilisers, pesticides, area of land under organic production, etc.) contributes to the increase in the level of regional economic development of the agricultural sector. The article clarifies the intermediary role of economic development of the agro-industrial complex. The results of the study implement the tasks of sustainable development, such as improving the environment through the innovation of green technologies and achieving regional synergy in green development.

Can environmental investors stimulate corporate green technological innovation?—Evidence from China

ABSTRACT Using a sample of A-share listed enterprises in the Shanghai and Shenzhen Stock Exchanges, this study shows that environmental investors can effectively stimulate green technological innovation measured by green patents. The stimulating effect is substantially heterogeneous across different types of enterprises and innovations. The mechanism analysis reveals that environmental investors promote green innovation mainly by increasing internal environmental investment rather than by obtaining more government subsidies. This study provides rare micro-evidence of the important role of independent environmental investors in green innovation.

An empirical analysis of the coupling and coordinated development of new urbanization and ecological welfare performance in China’s Chengdu–Chongqing economic circle

New urbanization (NU) and ecological welfare performance (EWP) play pivotal roles in achieving sustainable urban development, with both emphasizing social equity and environmental management. Exploring the coordinated relationship between EWP and NU is invaluable for understanding the symbiotic interplay between humans and nature. We constructed a framework to elucidate the coupling mechanism of EWP and NU from the perspective of systems theory. We quantified the levels of NU and EWP utilizing the entropy weighting method and the super-efficient SBM method, respectively. Furthermore, we assessed the degree of coupling coordination between the two using the coupling coordination degree model (CCDM). Spatial and temporal evolution analysis was conducted, and factors influencing the degree of coupling coordination between EWP and NU were explored through a spatial–temporal geographically-weighted regression model (GTWR). The results indicate: (1) During the study period, the average annual increase in EWP in the study area was 2.59%, with a narrowing relative gap between cities. Conversely, the average annual increase in the level of NU was 7.6%, with demographic and economic dimensions carrying the highest weights. (2) The type of coupling coordination between EWP and NU transitions from basic coordination to moderate coordination, with the development of EWP lagging behind that of NU. (3) City size demonstrates a positive yet diminishing trend on the coupling coordination level, with economic development exerting the greatest influence and exhibiting a "V" trend, while the impact of green technology innovation diminishes negatively. Additionally, regional disparities are significant, with city size exhibiting a negative impact in areas of high population density and low economic levels, and green technology innovation showing notable polarization characteristics in core cities. These findings serve as a foundation for fostering coordinated ecological development amid the rapid urbanization process of the Chengdu–Chongqing Economic Circle.

Impact of green finance on China's pollution reduction and carbon efficiency: Based on the spatial panel model

Green finance is an important means to promote the construction of ecological civilization and plays an important role in promoting the coordinated governance of pollution and carbon reduction. Based on the panel data of 277 cities at or above the prefecture level in China from 2006 to 2021, this study calculates the development level of green finance and the synergistic efficiency of pollution and carbon reduction. In addition, this study constructs the driving distance matrix. The study uses the spatial Durbin model to conduct an empirical test on the spatial effect and transmission mechanism of green finance on the synergistic efficiency of pollution and carbon reduction. Results show that: (1) A significant spatial difference exists between the development level of green finance and the collaborative efficiency of pollution and carbon reduction in China from 2006 to 2021. Moreover, the high-value areas of the two are concentrated in the eastern and southeast coastal areas, respectively; (2) The development of green finance has a positive spatial spillover effect on the collaborative efficiency of pollution and carbon reduction. The conclusion remains after a series of robustness tests, that is, green finance has a significant positive promoting effect on the collaborative efficiency of pollution and carbon reduction between the city and its neighboring cities; (3) The development of green finance can promote the improvement of the collaborative efficiency of pollution and carbon reduction by improving the level of green technology innovation and the advanced level of industrial structure, that is, the two play an intermediary effect. The conclusions of this study provide experience for an in-depth understanding of the environmental governance effect of green finance and actively guide financial resources to participate in the collaborative governance of carbon pollution.

Evaluating the Impact of Financial Agglomeration on Green Technology Innovation: Theoretical Analysis and Empirical Test

Evaluating the Impact of Financial Agglomeration on Green Technology Innovation: Theoretical Analysis and Empirical Test

How heterogeneous industrial agglomeration impacts energy efficiency subject to technological innovation:Evidence from the spatial threshold model

The relationship between industrial agglomeration (IA) and energy efficiency (EE) is significant for China to promote high-quality urban economic development and achieve China's dual carbon goals. Since technological innovation (TI) and green TI (GTI) are vital elements in the evolution of socioeconomic change and green development, this study employs a spatial threshold model to explore the technology innovation dependency of the influence of heterogeneous IA on EE based on prefecture-level city panel data of the manufacturing sector from 2006 to 2014 in China. This study finds that diversified IA (DIA) has a spatial threshold impact on EE subject to TI or GTI, while specialized IA (SIA) does not. DIA has significant positive direct, spillover, and overall effects on EE at the high TI and GTI thresholds. The distance attenuation feature is evident in the spatial spillover effect of DIA on EE. DIA impacts EE through its spatial effects on labor pooling, knowledge spillovers, and input sharing. The findings offer insights into the development of IA patterns and the enhancement of EE.

Does digital-industrial technology integration reduce corporate carbon emissions?

The integration of digital technology and industrial technology emerges as a pivotal avenue for enterprises to attain Sustainable Development Goals (SDGs), promoting the transition towards a sustainable and green trajectory of development. The panel data utilized in this paper encompasses financial, operational, and carbon emission metrics of publicly listed companies in China from 2008 to 2019. This longitudinal dataset enables us to perform robust statistical analyses to evaluate the impacts of Digital-Industrial technology integration on carbon emission intensity over time. The results indicate that: (i) Digital-Industrial technology integration significantly reduces the carbon emission intensity of enterprises, the conclusion remains robust when subjected to endogeneity and sensitivity analyses. (ii) Digital-Industrial technology integration mainly reduces the marginal cost of production and enhances the accumulation of knowledge to reduce the carbon emission intensity of enterprises. (iii) Digital-Industrial Technology Integration manifests more pronounced effects in curbing carbon emissions in regions characterized by robust property rights protection and well-developed digital infrastructure. (iv) Further research finds that Digital-Industrial technology integration increases the green technology innovation and ESG (Environmental, Social, and Governance) performance of enterprises. The results of this study provide empirical evidence for the carbon emission reduction function of the Digital-Industrial technology integration, and also verify the positive externality impact of the Digital-Industrial technology integration on the enterprise green innovation and SDGs.

The impact of green bond issuance on carbon emission intensity and path analysis.

Reducing carbon emission intensity is crucial for achieving sustainable development. Carbon emission intensity is expressively affected by the issuance of green bonds. Thus, it is imperative to assess the influence of green bond issuance on carbon emissions and examine their correlation. Such research holds great potential to expedite the overhaul and modernization of businesses and to construct a circular economy system. This paper uses the spatial Durbin model to draw empirical conclusions by using data from 26 provinces in China between 2016 and 2021. Firstly, under different spatial matrices, it has been analyzed that an increase of 1% in the issuance of green bonds leads to a reduction of 0.306% or 0.331% in carbon emission intensity. It shows that green bonds have the potential to substantially reduce carbon intensity. Additionally, the intensity of emissions in the current period is driven by the intensity of emissions in the previous period. Secondly, the analysis of mediated transmission suggests that green bonds can ultimately reduce carbon emission intensity by changing the energy consumption structure or improving the efficiency of green technology innovation. Thirdly, the analysis of heterogeneity shows that the inhibitory effect of green bond issuance on carbon emissions is stronger in less economically developed regions than in economically developed regions. There is a significant inhibitory effect of green bond issuance in neighboring provinces on local carbon emission intensity. This effect is present only in provinces in less economically developed regions and not in economically developed regions.

Research on the Coordinated Development of Digital Economy, Green Technology Innovation, and Ecological Environment Quality—A Case Study of China

Based on panel data from 285 prefecture-level cities in China from 2019 to 2023, the synergistic effects of the digital economy, green technology innovation, and ecological environment quality were analyzed. First, using the entropy method, the measurement dimensions of the indicators of the digital economy, green technology innovation, and ecological environment quality were obtained. Second, employing a neural network model with these measurements as input variables, the interactive relationship among the digital economy, green technology innovation, and ecological environment quality was explored. Finally, based on the calculation results of the neural network model, the importance and impact of each input parameter on ecological environment quality were determined using weight analysis methods. The research findings indicate: (1) Utilizing the entropy method, the measurement dimensions of the indicators of the digital economy, green technology innovation, and ecological environment quality were obtained. Analysis of each indicator measurement reveals that environmental pressure has a significant impact on ecological environment quality, with significant differences in environmental pressure among different regions. Industrial digitization emerges as the core factor influencing the digital economy, being the most significant driving effect, followed by digital industrialization. Green technology innovation is crucial for promoting environmental protection and achieving high-quality green economic development. (2) Based on the neural network model, the interactive relationship among the digital economy, green technology innovation, and ecological environment quality was revealed. The results indicate that the digital economy has a direct impact on improving ecological environment quality. The relationship between the digital economy and the ecological environment exhibits nonlinear effects, with the rate of change in environmental pressure and environmental status measurements initially increasing significantly and then gradually slowing down as the measurement levels of digital industrialization and industrial digitization increase. Improvement in digital governance and data value measurement levels will contribute to enhancing environmental status and environmental governance levels. (3) Through weight analysis, it was found that in terms of direct effects, industrial digitization, and digital industrialization have the most significant impact on environmental pressure, with importance coefficients of 0.45 and 0.3, respectively, while data valorization has the least impact. Regarding intermediary effects, industrial digitization and green technology innovation have the most significant impact on environmental pressure, while digital governance and green technology innovation have a relatively clear impact on environmental status and environmental governance. These results lay the foundation for promoting the coordinated cooperation between the digital economy and green technology innovation and for advancing the establishment of a win–win situation between economic development and environmental protection.

Unraveling the Nexus Between Financial Openness and Environmental Quality: Green Finance as the Catalyst in CEE Countries

The use of fossil fuels, which is still seen as the cheapest energy source today, has increased carbon emissions and contributed to the formation of greenhouse gases, and this gas has reached levels that threaten world health. While studies on this problem often question the relationship between production volume, energy use, and carbon emissions, few studies question the effects of the financial assets, which are the providers of investments made for production purposes, on environmental degradation. This study used the fixed effect model and system GMM technique to analyse the moderating effect of green finance in connection to financial openness and environmental quality from 2015 to 2020 in the CEE countries. Findings show, among other things that (1) CO2 in CEE countries is still growing; (2) financial openness is a positive and significant indicator of CO2 emission; and (3) that green finance usage reduces the positive impact of financial openness on CO2 emissions. The study suggests that financial openness, renewable energy (RE) investment, and green technology innovation (GTI)– consistently drive CO2 emissions in CEE countries. The study suggests that policies promoting green finance, particularly RE investment and GTI, can help mitigate environmental degradation and reduce CO2 emissions.

How to select green technology acquisition paths for enterprises: An analysis based on evolutionary game theory

AbstractAs an important method of reducing pollution, green technology innovation (GTI) is receiving more attention. However, facing the challenges in conducting GTI, it is crucial for enterprises to find the optimal path to acquire green technology. This paper investigates how high‐pollution manufacturing enterprises make decisions on independent innovation and green technology introduction under government intervention and public involvement. The influences of other factors, such as media attention and product market competition, have also been considered in the tripartite evolutionary game model. The simulation after applying MATLAB indicates that government intervention and public participation have a significant impact on the decision‐making of green technology acquisition paths for enterprises. Government subsidies and penalties are important policy tools for enterprises to make decisions on the selection of green technology acquisition paths. Meanwhile, reputational incentives or losses brought from public involvement are also essential in encouraging government intervention and green technology acquisition of enterprises. Finally, the extent to which the changes in various influencing factors affect the selection of enterprises' green technology acquisition paths have been tested and simulated. This paper aims to provide policy implications for governments, as well as decision‐making strategies for enterprises that urgently require green transition to achieve sustainable development.

The Effect of Market-Based Environmental Regulations on Green Technology Innovation—The Regulatory Effect Based on Corporate Social Responsibility

This study explores the impact of market-based environmental regulations on green technological innovation and the differential regulatory effects of corporate social responsibility (CSR) on different levels of green technological innovation. By analyzing data from 746 Chinese A-share listed companies from the period of 2008–2021, this paper examines the effect of market-based environmental regulations on corporate green technology innovation. The research findings are as follows: (1) Market-based environmental regulations have a significant promoting effect on green technology innovation in enterprises. (2) CSR amplifies the positive influence of market-based environmental on green technological innovation, but it has a greater impact on strategic innovations, like utility model patents, rather than substantial ones, like invention patents. Corporate may use CSR to superficially meet regulatory pressures and stakeholder expectations, focusing more on short-term compliance than on long-term sustainable innovation. Companies might utilize CSR as a superficial means to appease regulatory demands, concentrating on immediate compliance rather than fostering enduring innovation. (3) Market-based environmental regulations facilitate green technological innovation by alleviating enterprise financing constraints and improving the efficiency of innovation resource allocation. (4) The promotion effect of market-based environmental regulations on green technological innovation is particularly evident in state-owned enterprises, heavily polluted industries, and regions with high regulatory levels. The research contribution is to provide valuable insights into the implementation of market-based environmental regulations and firms’ green technological innovation. Specifically, it elucidates the nuanced regulatory effects of corporate social responsibility, presenting a fresh lens through which to reconsider the intricate mechanism of CSR’s role as a conduit between environmental policy and innovative practices.