RESUMEN

Green technology is an important path to achieve low-carbon development, and green credit provides financial support for green technology innovation. Existing literature often fails to pay attention to the important role of spatial factors and outliers in green technology innovation. Based on 2005-2022 provincial panel data in China, this paper uses a novel spatial lag quantile model to explore the impact of green credit on green technology innovation and its impact mechanism. The empirical results indicate that green credit exerts a greater positive impact on green technology in the provinces with moderate technical level. Technological innovation has the characteristic of spatial spillover. The spatial spillover of technology contributes more to green technology innovation in the provinces with low- and medium-tech level. This result has been proven even after robustness test of the changes in sample units, and the replacement of core variable values. Further mechanistic analysis demonstrates that banking market structure and enterprise R&D investment both produces the greater impact on green technology innovation in the low-tech provinces such as Qinghai, Ningxia, and Hainan. This article provides policy reference for local governments to formulate green finance policies and promote carbon neutrality strategies.

Asunto(s)

RESUMEN

Government innovation subsidies play an important role as a policy to incentivize green transformation of enterprises, but whether government innovation subsidies can reduce the carbon intensity of industrial enterprises is still unclear, the exploration of the impact pathway needs to be further developed. This study takes government innovation subsidies as the entry point. It takes Chinese industrial listed companies as the research object from 2007 to 2021, explores the internal mechanism of government innovation subsidies on carbon intensity of industrial enterprises, analyzes the heterogeneity of the impact of government innovation subsidies on the carbon intensity of government innovation subsidies, and finally compares the differences arising from the governance effects of the policies of government innovation subsidies and government non-innovation subsidies. The results of the study show that: 1. Government innovation subsidies are beneficial for improving the energy utilization efficiency of enterprises and significantly reducing carbon intensity, unit government innovation subsidies can reduce the carbon dioxide emissions of industrial enterprises by 11.069 tons per 10,000 yuan of output value; 2. Government innovation subsidies can effectively incentivize industrial enterprises to carry out green technological innovations, and improve the quantity and quality of green technological innovation; 3. Government innovation subsidies can reduce carbon intensity of industrial enterprises by incentivizing the green technological innovations of enterprises to "increase the quantity and improve the quality". In fact, carbon intensity of industrial enterprises could be significantly reduced by incentivizing green technological innovation. Heterogeneity analysis shows that the greater the pressure of environmental tax and the higher the degree of market competition, the stronger is the effect of government innovation subsidies in reducing carbon intensity. The inclusion of government non-innovation subsidies in the control study shows that government innovation subsidies with innovation orientation motivate industrial enterprises to reduce carbon emissions significantly more than those subsidies without innovation orientation. In conclusion, this study provides a practical reference for the promotion of green technological innovation in enterprises to "increase the quantity and improve the quality" and reduce carbon intensity, as well as a revelation for the adoption of differentiated policies for different enterprises.

Asunto(s)

RESUMEN

This study investigates the role of green technology implementation (GTI) based on artificial intelligence (AI) at the household level to achieve carbon neutrality by addressing gaps in the existing research. The research focuses on understanding how education on green consumption preferences, green invention and emission impacts can optimally influence AI-based GTI decisions. Through behavioural analysis at the household level, this study quantifies the effects of education and preferences on emissions and proposes subsidies as accelerators for carbon-neutral transitions. Furthermore, the study employs regression analysis and simulation-based optimisation, which are then validated against prior methodologies, with a focus on Punjab, Pakistan. Utilising a simple random sampling technique, approximately 1000 households were surveyed to represent the province's diverse demographics comprehensively. Findings reveal that higher education levels correlate with less enthusiasm for AI-based GTI. Simulations measured optimal subsidy levels by striking a balance between encouraging green behaviour and technological adoption. By integrating diverse factors and AI-based GTI optimisation, this study defines important thresholds for education and subsidies, thus highlighting their pivotal role in advancing AI-based green technologies and sustainable household practices. This research significantly enhances the understanding of the complex relationship between AI-based GTI decisions and educational influences, thereby contributing to the advancement of environmental sustainability.

RESUMEN

There is a lack of quantitative methodology for the sustainability assessment based on field data in the process of innovative technology development for groundwater remediation. This study developed a quantitative assessment framework, a model based on the life cycle assessment integrated with best management practices (LCA-BMPs), to evaluate the environmental, economic, and social sustainability of in-situ electrical resistance heating coupled with steam enhanced extraction (ERH-SEE), an innovative technology being demonstrated in the field. The results indicated that ERH-SEE offered better environmental sustainability performance compared to ERH only, with a reduction in carbon emissions by 52.6 %. ERH-SEE also significantly reduces human toxicity, resource consumption, and ecosystem impacts under the same remediation scenarios. The further assessment indicated that if taking the renewable energy share in energy structure in different countries into consideration, higher shares of renewable energy used in energy supplies can substantially reduce the environmental footprint of the studied scenarios. The economic sustainability assessment results showed that ERH-SEE was more sustainable than ERH only, as it reduces direct economic costs by 35.7 % and provides higher levels of worker employment. Regarding the social sustainability, ERH-SEE involved more complex operational procedures and presented more health risk exposure scenarios compared to ERH only, resulting in slightly more pronounced worker safety issues. Based on the final normalized results, the overall sustainability results of ERH-SEE and ERH only were 78.4 and 61.5, respectively, demonstrating that the sustainability performance of ERH-SEE was better than ERH only. It can be concluded that the application of ERH-SEE in groundwater remediation where significant heterogeneities occur in subsurface can increase the sustainability in developing countries, due to the lower percentage in renewable electricity in the energy supply. This study provided new insights into the technology development for the remediation of soil and groundwater contamination.

RESUMEN

To delve into the intricate dynamics of green innovation, it is imperative to establish a policy-driven green innovation network and optimize its multi-entity collaborative mechanism. Given the dynamic complexity of a technological innovation network composed of multiple entities, this paper examines the interactions among four subsystems based on system dynamics (SD) simulation: resource input, innovation performance, policy-driven, and digital empowerment subsystem. Furthermore, we analyze the combined effects of policy-driven initiatives and the role of digital platforms in facilitating innovation efficiency based on empirical evidence. The results indicate that: (1) Government can effectively promote green development by enforcing stronger environmental regulations, such as increasing carbon trading price, while enhancing the emission reduction efficiency of innovative products. (2) Increased per capita R&D investment, along with financial, tax, fiscal incentives for innovation investment, will increase the rate of innovation achievements. (3) Government should strengthen talent policy during anticipated increases in talent numbers and reduce the intensity of introductions during expected declines. (4) By implementing incentive policies to develop S&T platforms, government can broaden innovation network cooperation, promotes resource aggregation, and leverages multi-entity cohort effects.

RESUMEN

This study investigates the impact of aqueous ozone (AO) on the yield, molecular structure, and rheological properties of wheat gluten separated using the batter procedure. Employing strong gluten flour (SGF) and weak gluten flour (WGF), we demonstrate that AO pretreatment significantly enhances the yield and purity of separated starch and gluten. Surface hydrophobicity, free sulfhydryl groups, Fourier transform infrared spectroscopy (FTIR), Raman, and size exclusion-high-performance liquid chromatography (SE-HPLC) analyses were used to evaluate the effects of AO on the molecular structure of gluten. Our analysis reveals that low concentrations of AO induce specific modifications in gluten proteins. AO treatment increases cross-linking in glutenin macropolymer (GMP), reduces surface hydrophobicity, and stabilizes secondary and tertiary structures. These changes include an increase in ß-sheet content by approximately 9% and a corresponding decrease in ß-turn structures, leading to enhanced viscoelastic properties of the gluten. The research highlights AO's potential as a sustainable and efficient agent in wheat flour processing, offering advancements in both product quality and eco-friendly processing techniques. Future research should optimize AO treatment parameters and explore its effects on different cereal types further to enhance its applicability and benefits in food processing. PRACTICAL APPLICATION: Our work substantially advances the existing knowledge on wheat flour processing by demonstrating the multifaceted benefits of AO pretreatment. We unveil significant improvements in the yield and purity of starch and gluten when compared to conventional separation methods. Moreover, our in-depth analysis of molecular changes induced by AO, including increased cross-linking, alterations in surface hydrophobicity, and modifications in glutenin macropolymer content, provides new insights into how AO affects the viscoelastic properties of gluten. This contribution is pivotal for the development of more efficient, sustainable, and eco-friendly wheat flour processing technologies.

RESUMEN

This study uses data of Chinese A-share listed companies from 2012 to 2021 to empirically examine the impact and action mechanisms of executives' green cognition on enterprises' green technology innovation (GTI). The results of Poisson regression show that executives' green cognition have a significant effect on promoting enterprise GTI, with the conclusion remaining valid after endogenous and robustness tests. Moreover, the mechanism test indicates that executive green cognition could promote enterprise GTI by enhancing their ESG performance. Further analyses find that both government environmental regulation and executive overseas experience have strengthened the promotion effect of executive green cognition on enterprise GTI. These findings provide a new action mechanism path for the relationship between executive cognition and corporate innovation and a micro-level theoretical basis for policy recommendations for promoting enterprises' GTI and ESG practices.

RESUMEN

Avocado oil is rich in nutrients beneficial to human health, such as monounsaturated fatty acids, phenolic compounds, tocopherol, and carotenoids, with numerous possibilities for application in industry. This review explores, through a comparative approach, the effectiveness of the supercritical oil extraction process as an alternative to the conventional cold-pressing method, evaluating the differences in the extraction process steps through the effect of temperature and operating pressure on bioactive quality and oil yield. The results reveal that supercritical avocado oil has a yield like that of mechanical cold pressing and superior functional and bioactive quality, especially in relation to α-tocopherol and carotenoids. For better use and efficiency of the supercritical technology, the maturation stage, moisture content, fruit variety, and collection period stand out as essential factors to be observed during pre-treatment, as they directly impact oil yield and nutrient concentration. In addition, the use of supercritical technology enables the full use of the fruit, significantly reducing waste, and adds value to the agro-industrial residues of the process. It produces an edible oil free of impurities, microorganisms, and organic solvents. It is a green, environmentally friendly technology with long-term environmental and economic advantages and an interesting alternative in the avocado market.

RESUMEN

The production of renewable biofuel through microalgae and green technology can be a promising solution to meet future energy demands whilst reducing greenhouse gases (GHG) emissions and recovering energy for a carbon-neutral bio-economy and environmental sustainability. Recently, the integration of Energy Informatics (EI) technology as an emerging approach has ensured the feasibility and enhancement of microalgal biotechnology and bioenergy applications. Integrating EI technology such as artificial intelligence (AI), predictive modelling systems and life cycle analysis (LCA) in microalgae field applications can improve cost, efficiency, productivity and sustainability. With the approach of EI technology, data-driven insights and decision-making, resource optimization and a better understanding of the environmental impact of microalgae cultivation could be achieved, making it a crucial step in advancing this field and its applications. This review presents the conventional technologies in the microalgae-based system for wastewater treatment and bioenergy production. Furthermore, the recent integration of EI in microalgal technology from the AI application to the modelling and optimization using predictive control systems has been discussed. The LCA and techno-economic assessment (TEA) in the environmental sustainability and economic point of view are also presented. Future challenges and perspectives in the microalgae-based wastewater treatment to bioenergy production integrated with the EI approach, are also discussed in relation to the development of microalgae as the future energy source.

Asunto(s)

RESUMEN

This study aimed to characterize potato varieties for producing potato juice media (PJM) that allow bacterial cellulose (BC) effective and cost-efficient production. The study used 12 edible and 10 starch potato varieties from an accredited company for breeding and seed production. In general, edible varieties produced a 73 % higher PJ yield. Favorable BC yields were obtained using five edible and two starch varieties. Notably, the average BC yields in PJM from three edible varieties (Altesse, Mazur, and Owacja) were above the average BC yield from Hestrin-Schramm (HS) medium (4.3, 4.1, and 3.9 g/L v. 3.69 g/L, respectively); these varieties had relatively high concentrations of glucose (3.3-4.2 g/L), fructose (3.0-4.2 g/L), and sucrose (2.9-4.2 g/L). It was also shown that the macro- and microstructure, crystallinity, and polymerization degree showed no significant differences between PJM-derived BC and HS-BC. As estimated, the cost of PJM required to produce 1 kg of BC is approximately EUR 60. In contrast, the cost of HS medium exceeds 1200 EUR. In conclusion, our research has proven that PJM can significantly reduce the costs (by over tenfold) of the medium for BC biosynthesis, ultimately lowering overall costs of producing this valuable biomaterial.

Asunto(s)

RESUMEN

In the context of the new normal, enhancing digitalization to empower the transition to a green economy is a critical instrument to promote China's economic transition from virtual to real sectors. It is also a necessary approach to realize the high-quality economic development in China. Based on panel data of 282 prefecture-level and above cities in China from 2011 to 2020, the study employs panel regression, spatial metrics, and other methods to explore the impact of urban digitization on the transition to a green economy from the dimensions of direct and indirect transmission mechanism, as well as heterogeneous effects. The findings reveal that digitalization not only exerts a positive effect on the green transition but also generates significant spatial spillover effects. The influence of digitization level on green economic transition exhibits notable regional heterogeneity. Advancement in digitization can foster green economic transition by catalyzing green technological innovation. While digitalization contributes to the green transition by optimizing the structure of energy consumption, its mediating effect is relatively modest. Therefore, it is essential to fortify the supply of digital innovative technology and strengthen digitalization and green technology innovation to jointly facilitate the transition to a green economy. This necessitates the implementation of differentiated development paths for digitization-enabled green economic transition in various regions.

Asunto(s)

RESUMEN

Ecological risk management has emerged as a critical research and policy development area in energy and environmental economics. Sustained ecology is crucial for the standard of living and food security. As the adverse impacts of environmental degradation and climate change become increasingly apparent it is imperative to understand ecological risk and its interconnectedness with environmental pressure, clean energy, economic activity, globalization, and green technology. Ecological risk is assessed using the environmental performance index which is a holistic indicator of climate change, environmental pressures and human actions in which most of these indicators have spatial effects. This paper explores the multifaceted relationship between identified anthropogenic critical factors and their role in effectively managing ecological risk globally. This study has developed the second-generation dynamic panel quantile regression considering spatial effects of economic activities on ecology across borders of 55 countries between 1995 and 2022. This innovative hybrid estimation scheme that integrated theoretical and econometric aspects makes the model robust to major regression issues. Several implications ranked in decreasing order of its effectiveness are reducing environmental pressure, expediting energy transition, and embracing economic integration while there is a need to work on rejuvenating green technology and green growth.

Asunto(s)

RESUMEN

Given the increasing threat of economic downturns and global warming, the governments of developing countries urgently need effective measures that can both stimulate economic development and promote low-carbon transitions. As a widely accepted method for stimulating economic growth, the improvement of the business environment and its effect on economic activity have been fully discussed. However, little is known about whether and how the business environment affects the low-carbon transition. By leveraging city-level data from China, this paper exploits whether and through which channels a favorable business environment promotes a low-carbon transition. We find that improving the business environment has a positive impact on carbon efficiency. This relationship is verified to be robust through various alternative tests. Additionally, it is demonstrated that enhancing the business environment can increase carbon efficiency by promoting green technology progress and stimulating new firm entry. Heterogeneity analysis indicates that the positive effect of the business environment is pronounced for cities with intensive environmental regulation, sufficient environmentally targeted fiscal expenditure, and loose economic growth requirements. This paper reveals the unintentional environmental gains of business environment optimization and provides important insights into the low-carbon transition for developing economies.

Asunto(s)

RESUMEN

Regional integration plays an important role in dicarbon reduction and sustainability development. Based on dynamic panel model and spatial econometric model, this study analyzes the impact of market integration (MI) on industrial green transformation (IGT). The study finds that: (1) MI has a nonlinear relationship with the IGT. With the increasing of MI degree, the IGT shows the characteristic of first rising and then declining. (2) MI plays a role in the IGT mainly through industrial agglomeration, resource mismatch and green technological progress, respectively. (3) The impact of MI on IGT exhibits spatial heterogeneity. Although MI significantly promotes IGT in core cities, its impact on the IGT in peripheral cities is not significant. (4) The IGT has spatial spillover effect, and the improvement of MI degree in adjacent regions can also promote the IGT in the cities.

RESUMEN

OBJECTIVE: This study focused on the development of a new-to-world ingredient harnessing the natural potential of fresh Jasminum grandiflorum flowers to self-ferment by its phytobiome revealing flower content. Analytical investigations were conducted to highlight specific phytocompounds generated during the natural fermentation of flowers in comparison to a conventional extraction. The synergy with another extraction technology maximized the generation of biocompounds for an interesting efficacy. METHODS: Jasmine extract was elaborated by combining two patented technologies: the phytofermentology™, inspired by plant-microorganisms interaction and designed to develop ingredients obtained by natural fermentation of the vegetal using its own phytobiota; and the PSR™ technology allowing the extraction of bioactive phytocompounds such as small RNAs from plants. RESULTS: Analytical investigations of Jasmine extract highlighted uniqueness and richness of the phytocompound profiles, such as organics acids and phenolic compounds, markers of fermentation only obtained after phytofermentology in comparison to conventional extraction. Jasmine extract has the particularity to contain jasmintides, flower small peptides belonging to the family of cysteine-rich peptides (CRPs). Antioxidant and global anti-ageing properties were investigated in cell-free assays demonstrating interesting results: about 20% scavenging of free radicals from 0.5% of Jasmine extract and protection from DNA damage of 26% in comparison to a stressed control. CONCLUSION: Phytofermentology™ technology combined with PSR™ technology, meant to be respectful of the environment, allowed to development of biofunctionals very close to nature with a unique analytical signature as Jasmine extract, using the potential of fresh flowers phytobiota to self-ferment. The efficacy of the ingredient on global antioxidation and anti-ageing via hyaluronidase/tyrosinase inhibitions was highlighted by cell-free evaluation assays. Further and complementary studies should be conducted to confirm the bioefficacy of this ingredient with in vitro / ex vivo assays.

Cette étude a pour objectif de développer un nouvel ingrédient unique en exploitant le potentiel des fleurs fraîches de Jasminum grandiflorum à fermenter naturellement en utilisant leur phytobiome, révélant ainsi le contenu de ces fleurs. Des investigations analytiques ont été menées pour mettre en évidence des phytocomposés spécifiques générés lors de la fermentation naturelle des fleurs par rapport à une extraction conventionnelle. La synergie avec une autre technologie d'extraction maximise la génération de biocomposés pour une plus grande efficacité de l'extrait. L'extrait de jasmin a été élaboré en combinant deux technologies brevetées: la phytofermentologie™, inspirée de l'interaction plante/micro­organismes et conçue pour développer des ingrédients obtenus par fermentation naturelle d'un végétal en utilisant son propre phytobiote; et la technologie PSR™ permettant l'extraction de phytocomposés bioactifs tels que les petits ARN des plantes. Les recherches analytiques de l'extrait de jasmin ont mis en évidence le caractère unique et la richesse des profils des différents phytocomposés composant l'extrait, tels que les acides organiques et les composés phénoliques, marqueurs de fermentation obtenus uniquement grâce à la phytofermentologie par rapport à l'extraction conventionnelle. L'extrait de jasmin a la particularité de contenir des jasmintides, petits peptides de fleurs appartenant à la famille des peptides riches en cystéine (CRP). Les propriétés antioxydantes et anti­âge ont été étudiées par des tests acellulaires démontrant des résultats intéressants: environ 20 % d'élimination des radicaux libres à partir de 0,5 % d'extrait de jasmin et une protection contre les dommages à l'ADN de 26 % par rapport à un contrôle stressé. La technologie phytofermentologie™ combinée à la technologie PSR™, se voulant respectueuse de l'environnement, a permis de développer des ingrédients très proches de la nature avec une signature analytique unique comme l'extrait de Jasmin, utilisant le potentiel d'auto­fermentation du phytobiote des fleurs fraîches. L'efficacité de l'ingrédient sur l'antioxydation globale et l'anti­âge via les inhibitions enzymatiques de la hyaluronidase et de la tyrosinase a été mise en évidence par des tests d'évaluation acellulaires. Des études supplémentaires et complémentaires devraient être menées pour confirmer la bioefficacité de cet ingrédient avec des tests in vitro/ex vivo.

RESUMEN

As an emerging force enabling high-quality economic development, digital economy (DE) still requires further investigation regarding its impact on synergistic governance of pollutants and carbon emissions (SGPCE). This study examines the impact of DE on SGPCE using two-way fixed effects model, intermediary effect model, and spatial Durbin model using provincial panel data from 2011 to 2020. The research reveals that: (1) DE has a significant promoting effect on SGPCE. (2) Enhancing the degree of green technology innovation is a crucial means of transmission for DE to propel SGPCE. (3) DE additionally exerts a constructive influence on SGPCE in adjacent regions, manifesting a spatial spillover effect. (4) Furthermore, DE demonstrates a notably heightened impact on SGPCE in the western region with respect to regional heterogeneity. Additionally, in the realm of dimension heterogeneity, the industrial digitization yields more favorable dividends for SGPCE compared to digital industrialization. The above conclusions provide novel insights and empirical evidence to validate the connection between DE and SGPCE. It also gives new policy recommendations for China to combat pollution prevention and climate warming under the wave of global digitization.

Asunto(s)

RESUMEN

This study explores the impact of the digital economy (DE) on natural resource efficiency (NRE) across 275 Chinese cities between 2011 and 2021. Through a comprehensive empirical analysis, we find that the DE significantly positively affects NRE. A key moderating factor in this relationship is green technological innovation (GTI), focusing on the quality rather than the quantity of green technology. Our study also uncovers regional variations of moderating effect. Additionally, we identify several mechanisms through which the DE contributes to enhanced NRE, including the transformation of industrial structure and improvements in green total factor productivity. A detailed heterogeneity analysis shows that the DE's impact on NRE varies according to city-specific factors such as natural resource endowment, city size, environmental regulations, and administrative levels. These findings provide a more nuanced understanding of how the DE influences NRE at the urban level, contributing to the broader discourse on sustainable development in the digital age. Our research offers policy recommendations and potential pathways for cities to leverage the DE for greater natural resource efficiency.

Asunto(s)

RESUMEN

Sustainable development addresses global challenges by promoting practices that balance economic, social, and environmental considerations. Key factors include the shifting to green energy and the integrating of green technology in the sustainable development process. This study investigates the heterogenous effects of green technology development, green energy, R&D expenditures, FDI, economic growth, and urbanization on CO2 emissions in 25 European Union (EU) countries using panel quantile regression over the period 2000-2021. The results, based on panel quantile regression, indicate that green energy decreases CO2 emissions from the 10th to the 90th quantiles, while green technology development increases CO2 emissions at the lower quantiles (10th to 60th) and then turns negative. The robustness of the fixed effect model also confirms the findings of the study. Additionally, panel causality tests indicate no causal link between green technology development and CO2 emissions, but there is bidirectional causality between green energy and CO2 emissions. Therefore, the findings highlight that policymakers should thoroughly evaluate measures and strategies to encourage the development of green technologies and green energy sources to reduce high levels of CO2 emissions. One strategy is to provide financial aid and support technological advances to produce green energy at reduced costs.

Asunto(s)

RESUMEN

In light of China's objectives for carbon peak and carbon neutrality, there is an opportunity for fintech to leverage its technological advantages and enhance its integration with green finance (GF). This can bring about enhanced coverage and precision of financial services for green industries, facilitating the transformation towards a sustainable, greener, and low-carbon real economy. We investigate how fintech development influences the carbon emission reduction effects of GF utilizing a two-way fixed effects model with a panel dataset covering 30 provinces in China from 2011 to 2020. Our findings indicate that the negative impact of GF on carbon emissions (CE) is heightened in areas with high levels of fintech development. Furthermore, we notice regional disparities in how fintech development impacts the effectiveness of GF in reducing CE. Specifically, fintech has a statistically significant impact in the central and western regions, whereas its significance is absent in the eastern region. Lastly, our mechanism analysis reveals that fintech plays a vital role in enhancing GF's capacity to mitigate CE, which is achieved through channels of promoting green technology innovation (GTI), alleviating corporate financing constraints (FC), and optimizing energy structure (ES). These findings provide compelling evidence for the positive effect of fintech on the environment and offer justification for promoting the development of fintech and GF.

Asunto(s)

RESUMEN

China proposed establishing a carbon emission trading market in its 12th Five-Year Plan to reduce carbon dioxide emissions through market mechanisms, promote the development of science and technology and help China become an environment-friendly country. To examine the impact of carbon emission trading on green technology innovation in Chinese energy enterprises, data from 1993 to 2020 were collected from 494 A-share-listed energy enterprises. Enterprises located in the pilot area of carbon emissions trading were assigned to the treatment group, while those in the non-pilot area were assigned to the control group. The propensity-score-matching method was utilized to match the treatment group with the control group, and the resulting samples were used as the actual sample data. The difference-in-differences method was then employed to assess the net impact of carbon emission trading and investigate its effect on green technology innovation in energy enterprises. This empirical study suggested that carbon emission trading has a positive impact on green technology innovation in energy enterprises, particularly state-owned ones. Larger enterprises are more willing to engage in green technological innovation than small enterprises. Furthermore, when faced with a carbon emission trading system, 'mature' companies tend to pay more attention to green technology innovation than younger enterprises do. This study puts forward policy measures for establishing a national-level carbon emission market in China in the future.

Asunto(s)