Development Of Green Technologies Research Articles

Environmentally related taxes and their influence on decarbonization of the economy

Environmental taxes ensure sustainable development, but their fiscal and environmental effectiveness differs for countries with different socio-economic characteristics. This study aims to compare the impact of environmental tax revenues on economy’s decarbonization (measured through carbon productivity – the ratio of GDP to carbon dioxide emissions) in different countries, considering their green technologies development and carbon emissions. The paper analyzed OECD and World Bank statistical data for 38 OECD countries for 2002–2021 using linear panel regression models with fixed and random effects (using Hausman test and STATA 18). To identify explicit and latent patterns of this influence, which are common to certain countries, this analysis did not consider each country separately but targeted clusters, distinguished by Ward and Sturges methods based on the effective tax rate on carbon emissions, total environmental tax revenues, total carbon emissions, and carbon productivity. The positive influence of environmental tax revenues on the economy’s decarbonization level has been confirmed for 29 countries (four from six clusters). The effect is the largest for the USA (an increase in tax revenues by 1% leads to an increase in carbon productivity by 0.9% on average) and the smallest – for the cluster including Austria, Belgium, Canada, Costa Rica, Czechia, Estonia, France, Germany, Hungary, Iceland, Korea, Lithuania, New Zealand, Poland, Portugal, Slovakia, Spain, and the Great Britain (increase – 0.1%). The negative impact was confirmed for nine countries (two from six clusters): Denmark, Finland, Israel, Latvia, and Sweden (decrease – 0.3%) and Greece, Italy, the Netherlands, and Slovenia (decrease – 0.21%).

Regulatory potential of secondary metabolite DIMBOA and baicalein to imazethapyr-induced toxicity in wheat seedlings.

Controlling and mitigating the toxicity of herbicides to non-target plants is of significant importance in reducing ecological risks. The development of green and natural herbicide control technologies has become an urgent necessity. In this paper, how 2,4-dihydroxy-7-methoxy-2H-1,4-benzoxazine-3(4H)-one (DIMBOA) and baicalein alleviated oxidative stress induced by imazethapyr (IM) in wheat seedlings was investigated. We found that DIMBOA and baicalein enhanced the antioxidant enzyme activities in wheat seedlings exposed to IM and reduced the excessive reactive oxygen species due to IM stress by 21.3% and 23.5%, respectively. DIMBOA and baicalein also restored the iron content reduced by IM and effectively mitigated Fe2+ overload by alleviating the response of heme oxygenase 1 to IM stress. The antioxidant and iron homeostatic maintenance properties of DIMBOA and baicalein enhanced the defenses of wheat seedlings against IM stress. Our results highlight the potential implication of secondary metabolites as natural products to modulate herbicide toxicity to non-target plants.

Digital Economy Development and Green Innovation Efficiency from a Two-Stage Innovation Value Chain Perspective

Resolving the conflict between economic growth and ecological sustainability is crucial when transitioning from traditional economic development towards a sustainable green model. In this context, the super-NSBM model was applied to measure the efficiency of green innovation technology research and development. Additionally, it was applied to measure the efficiency of the green innovation achievement transformation among 30 Chinese provinces. This evaluation was conducted for the period from 2011 to 2021, and it utilized a two-stage innovation value chain perspective. The entropy method was used to comprehensively calculate the digital economy development index, and the impact of digital economy development on the two-stage green innovation effect was empirically explored using SDM. The findings revealed the following: Firstly, both two-stage green innovation efficiency and digital economy development exhibited significant spatial characteristics. Secondly, digital economy development had a positive effect on two-stage green innovation efficiency not only in the local region but also in neighboring regions. This conclusion remained valid throughout a series of robustness tests. Thirdly, in terms of regional heterogeneity, the eastern region and non-resource-based regions had greater digital economy development dividends than the central, western, and resource-based regions; therefore, the effect on two-stage green innovation efficiency was more significant. Lastly, both intellectual property protection and data factor endowment exerted positive moderating effects on the influence of the digital economy on two-stage green innovation efficiency. The conclusions of this research provide a theoretical backing for and empirical proof of the mechanism of digital economy development and its impact on two-stage green innovation efficiency. Policy implications are suggested based on these findings, such as reinforcing digitalization, establishing targeted policies, and fostering a favorable external environment conducive to technological innovation.

The Nexus of Artificial Intelligence and Green Innovation: a Cross-Density Analysis at the Country Level

AbstractThis study explored the synergistic effects of artificial intelligence (AI) on green innovation at the national level by identifying three core activities in green innovation: entry, exit, and sustained specialization in green technologies. Employing a comprehensive three-way fixed-effects panel model, we analyzed green innovation trends in 139 countries over a 30-year period. Our findings emphasize that technological capability, especially in green and AI technologies, is more pivotal than economic wealth in securing comparative advantages in green technologies. One notable observation is the path-dependent development of green technology, which suggests a propensity for nations to build new technologies based on existing strengths. A key contribution of this study is the development of the “AI-Green Cross-Density” model. This innovative method quantifies the interactions between green and AI technologies and highlights the role of AI in promoting green innovation. The influence of AI on the introduction of new green technologies has become more pronounced in recent years, particularly in economically less-developed countries. Our findings indicate that the integration of modern AI can significantly enhance green technology sectors in mid-to-low-income countries, providing vital insights for policymakers striving to foster a sustainable and technologically advanced future.

Investigating the integration of ESG factors into financial markets and its influence on sustainable economic growth in emerging Asian economies

It is increasingly obvious the huge improvement caused in loss of habitat and degradation in environment. Various nations are prone to natural disasters if this issue is not addressed. The development of finance has been hailed as significant in alleviating environmental concerns due to its part as a source of cash for the development of green technology. The primary goal of this research is to satisfy an acquaintance vacuum by investigating the relationship amongst economic growth and ESG (Environmental, Social and Governance) concert throughout Asia. This analysis made use of country-level data from 2010 to 2015. Economic growth is positively connected to ESG routine, due to examination upon the pooled normal least squares method, the immovable impact logistic method, these two-phase least squares technique, and the structure’s generalised approach of moments estimator. Additionally, additional tests including financial sector growth subcomponents (financial platforms and financial institutions) reveal that the conclusion is consistent and resilient under multiple model settings. Financial development, when combined, is an essential catalyst for promoting ESG performance in Asia.

Greening the BRICS: How Green Innovation Mitigates Ecological Footprints in Energy-Hungry Economies

The escalating energy consumption seen in the BRICS countries, namely Brazil, Russia, India, China, and South Africa, presents a substantial environmental problem, resulting in the depletion of resources, amplified carbon emissions, and endangering the well-being of ecological systems. The study examines the potential of green innovation to alleviate these adverse effects. By combining green technology with strong institutions and responsible energy consumption, we argue that the BRICS nations can significantly reduce their ecological footprint. This research, encompassing data from 1995 to 2022, employs Driscoll–Kraay and panel quantile regression to analyze the complex interplay of institutional quality, energy consumption, green innovation, and ecological footprints across the BRICS countries. Our findings reveal that green innovation is crucial in mitigating the ecological footprint, particularly when combined with resilient institutional quality and controlled energy use. Conversely, factors like high energy consumption, natural resource rent, and urbanization contribute to an increased ecological footprint. Notably, the study emphasizes the critical role of both institutional quality and renewable energy consumption in effectively reducing the ecological burden within the BRICS nations. These findings suggest that prioritizing investments in green technology and institutional development, even amidst high energy demands, represents a viable strategy for the BRICS nations to achieve sustainable growth and environmental responsibility.

Digital carbon neutrality: evidence of carbon emission reduction based on digital inclusive finance.

As a powerful engine for economic reform and curbing carbon emissions, digital inclusive finance provides solid support for achieving the goal of digital carbon neutrality. This study reveals the positive effect of digital inclusive finance on carbon emission reduction and the deeper reasons behind it by digging deeper into the panel data of 213 cities in China. The study adopts advanced empirical analysis methods to rigorously test the association between digital inclusive finance and carbon emissions. The results show that there is a strong positive correlation between the booming development of digital inclusive finance and the significant decline in carbon emissions. This finding remains solid after several rounds of robustness tests, which fully proves the reliability of the research results. Further mechanism analysis reveals the multiple paths of digital financial inclusion on carbon emission reduction. First, it promotes the optimization and upgrading of industrial structure by optimizing the allocation of financial resources, thus reducing the proportion of high-carbon emission industries. Second, digital inclusive finance attracts more foreign capital inflows and introduces advanced low-carbon technologies and management experience, further promoting the development of low-carbon economy. In addition, the study also found that the differences between different cities in terms of geographic location and city size have a significant impact on the carbon emission reduction effect of digital inclusive finance. In particular, the carbon emission reduction effect of digital inclusive finance is particularly significant in western regions, central cities, and first-tier cities. In response to these findings, this paper proposes a series of targeted policy recommendations. First, the financial service system should be further optimized to increase the coverage and penetration of digital inclusive finance, especially in less developed regions and small- and medium-sized cities. Second, regional policy synergies should be strengthened to form a strong synergy to promote the development of a low-carbon economy. In addition, it should guide capital flows to low-carbon industries and encourage enterprises to increase green technology research and development and application, while actively promoting low-carbon consumption concepts and guiding consumers to form green consumption habits. Through the implementation of these measures, it is expected that the potential of digital inclusive finance in the development of a low-carbon economy will be further stimulated, making a greater contribution to the realization of the goals of carbon peaking and carbon neutrality.

Can new urbanization pilot policies promote green technology innovation in cities: Empirical evidence from China.

The development of urbanization has brought new challenges to the ecological environment, and the promotion of green technology innovation and development is widely recognized as an essential method to achieve cities' economic benefits and environmental protection. This paper examines whether the new urbanization pilot policies (NUP) increase green technology innovation (GTI) from both theoretical and empirical perspectives. This paper examines the impact of new urbanization on GTI by analyzing data from 285 cities in China between 2010 and 2021, using the multi-period DID model with the implementation of NUP as an exogenous policy shock. The study results indicate that NUP significantly affects GTI, and the conclusion still holds after the parallel trend test, placebo test, and other robustness tests. Heterogeneity analysis shows that the NUP significantly enhances GTI in low environmental pollution, non-resource-based, Medium-sized, and Central Region cities. The test of moderating effect shows that NUP has a "linkage effect" with the government's environmental attention, financial investment in innovation, and regional talent pooling. The findings of this paper provide empirical evidence and decision-making reference for promoting NUP and sustainable development of cities.

Impact of natural resource dependence on green technology development: Role of digital governance in mitigating resource-curse using big data

The pursuit of a green economy as a strategy to counteract the “resource curse' phenomenon represents a burgeoning paradigm shift. A sophisticated digital governance infrastructure is vital, serving as an integral mechanism for ensuring transparency, enhancing data efficacy, and fostering public involvement—all crucial components of sustainable environmental stewardship. In light of this context, our analysis examines the interplay between natural resource dependence and green technological innovation, as well as delineating the potential pathways interlinking the two, through an empirical assessment using provincial data from China spanning the years 2011–2021. Employing advanced techniques in big data text mining, we have devised a government digital transformation index calibrated to elucidate the impacts of digitalization on the twin variables of natural resource reliance and the propagation of green technologies. Our findings indicate a marked deleterious influence of natural resource dependence on the evolution of green technological initiatives at the regional level, a trend most pronounced in China's central and western provinces as well as in locales with comparatively low economic development metrics. Furthermore, our research ascertains that the impeding force of natural resource dependence on green technology ascension is primarily exercised through diminished regional research and development capabilities, stagnation of industrial structure progression, and limited openness to external economic integration. Finally, the study posits that the implementation of digital governance measures holds the capability to substantially mitigate the restrictive impact of natural resource dependence on green technology advancement. This underscores the imperative for a digital governance architecture that actively neutralizes and meticulously monitors the adverse outcomes associated with resource consumption.

Numerical Simulation of Improving the Efficienty of Photovoltaic Thermal Panels

Abstract The need to optimize the operation of photovoltaic modules inevitably arises with the development of green energy production technology. In order to achieve a good technological yield, durability and efficiency in production, continuous studies and innovations are required. This study focuses on simulating the operation of water-cooled and uncooled PV modules in order to understand the temperature-dependent PV operation. This cooling module consists, in the first phase, of a copper coil through which water circulates, and in the second phase, of a coolant distributor/collector system. The module is attached to the lower surface of the photovoltaic panel, respectively to the teller foil layer. For this simulation we used the Ansys software package (Discovery, Fluent and Space Claim).

Exploring the Influence of Green Product Attributes on Consumer Perceived Value and Purchase Intention: Taking Green Household Appliances as an Example

Purpose - This study takes green household appliances as an example to investigate how green product attributes impact consumers’ perceived value and purchase intention. It further explores the moderating role of consumer innovativeness and mediating role of perceived value. Design/Methodology/Approach - The research participants were 259 Chinese consumers, whose relevant data were collected through a questionnaire survey. The data analysis was performed with structural equation modeling using SmartPLS. Findings - The results indicate that green products’ core (functional and value-for-money) and peripheral (emotional and social) green attributes both positively influence consumer perceived value, which, in turn, positively affects their purchase intention. Perceived value plays a positive mediating role between green product attributes and consumer purchase intention. However, the moderating effect of consumer innovativeness is not significant. Research Implications - First, this study explores the impact of green product attributes on consumer purchase intention from multiple dimensions, enriching empirical research on green product attributes. This provides a theoretical foundation for enterprises to strategically implement green product marketing strategies. Furthermore, based on the research findings, we recommend that relevant enterprises emphasize green product and technology research and development, guiding consumers toward environmentally friendly purchasing behavior with targeted approaches. This, in turn, will lead to ongoing development of the green market and green consumption.

Not so fast: Million-years of metal precipitation in Mississippi Valley type deposits inferred from in-situ petrochronology of hydrothermal carbonates

Mississippi Valley-type (MVT) deposits contain about 20% of global zinc resources and host critical raw materials crucial to the development of green technologies. Despite their economic and strategic importance, there is a lack of consensus on the duration of mineralizing fluid flow events in MVT systems. This study couples in-situ U-Pb dating with Sr-isotope and trace element analysis of syn- and post-ore gangue carbonates to establish: (1) timing and duration, (2) redox evolution, and (3) flow rates of mineralizing fluids in the world-class San Vicente Zn-(Pb) deposit (Peru). New radiometric ages bracket the crystallization of syn-mineralization dolomite, characterized by high Fe and Mn contents and Sr isotopic values overlapping with that of host carbonates, between 103.2 ± 4.1 Ma and 70.6 ± 5.6 Ma. This age interval reveals a direct genetic relationship between flow of mineralizing fluids and late Cretaceous Andean compressional tectonics. Basinal fluid expulsion coeval with known tectonic events continues in the district until Pliocene times, driving episodic crystallization of post-ore hydrothermal carbonates between 61.6 ± 9.3 and 2.7 ± 0.2 Ma. The low Mn and Fe content and high 87Sr/86Sr values characteristic of these post-ore, bedding-parallel and cross-cutting carbonate veins indicate a colder, oxidized environment. Our findings highlight the contribution of paired carbonate geochemistry and U-Pb geochronology in drawing links between tectonic events, fluid expulsion and the waxing and waning of mineralization potential in foreland basins. The results of this study challenge our understanding of timescales in MVT systems and imply that anomalous metal enrichment in basinal fluids over a short temporal interval is not a necessary precondition to form economic-sized, sediment-hosted Zn-Pb deposits. Rather, it is the coexistence of a focused fluid flow in an interconnected aquifer with suitable metal depositional mechanisms over a prolonged period of time (106–107 yr) that allows precipitation of economic amount of base metals at a specific site in the upper crust.

Offshore Energy Development in Poland—Social and Economic Dimensions

The development of green technology in the world is progressing extremely rapidly. New possibilities for obtaining energy from renewable sources are constantly being sought and existing solutions are being improved. The multifaceted potential of the seas and oceans is an important aspect being taken into account in the development of the energy systems of a number of economies. One dimension of action in this area is the orientation towards offshore wind energy and the construction of offshore wind farms for this purpose. The purpose of this article is to analyse the importance of offshore wind farms in Poland’s energy system and to assess public perception of the changes taking place in this dimension. The article is based on research and critical analysis of the available literature, legal regulations and industry reports, as well as on the results of our own surveys, the scientific findings of which were developed with the application of statistical instruments using PQstat software, ensuring the expected quality of results. The findings of the article indicate the significant importance of offshore wind farms in the creation of Poland’s energy mix, with differing public attitudes towards their construction. Furthermore, the results of the research indicate a differentiated attitude of society towards the construction of offshore wind farms. The main motivation for majority support of the measure in question are economic reasons, which are connected with the expectation of a real price reduction per 1 kW of energy, as well as increased attractiveness of the region due to investments in this area. The main concern with the measure relates to environmental aspects, with concerns about the functioning of ecosystems in light of the construction and subsequent operation of wind farms. Negative public opinion is also signalled in relation to the potential risk of landscape change in a direction that is undesirable for the studied developed coastal tourist region in Poland.

Does Free Compulsory Education Matter for the Green Transformation of Agriculture? Evidence from Rural China

Education plays a crucial role in promoting green development by shaping environmentally friendly production behaviors and fostering low-carbon lifestyles. This research examines the impact of China’s free compulsory education (FCE) policy on agricultural green total factor productivity (AGTFP) using provincial panel data from 2002 to 2015. Additionally, it explores the impact mechanisms and regional heterogeneity. The results indicate that first, the FCE policy has a significantly positive effect on AGTFP, as confirmed through a series of robustness tests. Second, the FCE policy primarily influences AGTFP by increasing farmers’ awareness of green production and promoting the development of green technologies in agriculture. Third, the impact of the FCE policy varies across regions. It promotes green technologies in agriculture in developed provinces and fosters ecological awareness among farmers in less developed provinces. These findings offer valuable empirical evidence and policy implications for implementing education popularization projects and reducing agricultural carbon emissions in developing countries.

Research on the Spatial Effect of Igital Economy Development Enabling Green Technology Innovation in Yangtze River Delta region

At the time of the transformation of old and new driving forces for economic growth, green technology innovation enabled by the digital economy has gradually become a powerful driving force for scientific and technological innovation and the improvement of the development level of green economy in the Yangtze River Delta region. This paper takes 41 cities in the Yangtze River Delta region as the research object, and empirically analyzes the spatial correlation degree and the spillover effect of green technology innovation in the Yangtze River Delta region from 2016 to 2020 by constructing the spatial Dubin model. The results show that: (1) Digital economy has a strong positive impact on green technology innovation and development, and has an empowering effect on regional green technology innovation and development. (2) The development of green technology innovation in the Yangtze River Delta showed a significant positive spatial autocorrelation, and the spatial autocorrelation decreased with the increase of years, and the trend of unbalanced development of green technology innovation increased. (3) The level of digital economy, the level of opening up to the outside world, the rate of urbanization and the level of scientific and technological development have a spatial spillover effect on regional green technology innovation and development. Based on the above conclusions, the paper puts forward some countermeasures and suggestions to promote the innovation and development of green technology enabled by digital economy in Yangtze River Delta region.

Green Logistics Development of Express Companies in the Context of “Dual Carbon” Strategy Research

In the context of "dual carbon", green logistics as an emerging concept type, not only plays an important role in environmental protection and sustainable economic development, but also can bring great economic benefits to express delivery companies. However, the current development of green logistics technology in China is not mature enough, resulting in the transformation of the courier company is facing the situation of opportunities and challenges. In this paper, we sort out the "dual carbon" background of the development of green logistics courier company status quo, analyze the courier company in the process of transition to green logistics problems and targeted to put forward the corresponding measures to solve them, and hope to be able to other courier company's green logistics development to provide reference and reference.

Organic Ligand-Mediated Dissolution and Fractionation of Rare-Earth Elements (REEs) from Carbonate and Phosphate Minerals.

Global efforts to build a net-zero economy and the irreplaceable roles of rare-earth elements (REEs) in low-carbon technologies urge the understanding of REE occurrence in natural deposits, discovery of alternative REE resources, and development of green extraction technologies. Advancement in these directions requires comprehensive knowledge on geochemical behaviors of REEs in the presence of naturally prevalent organic ligands, yet much remains unknown about organic ligand-mediated REE mobilization/fractionation and related mechanisms. Herein, we investigated REE mobilization from representative host minerals induced by three representative organic ligands: oxalate, citrate, and the siderophore desferrioxamine B (DFOB). Reaction pH conditions were selected to isolate the ligand-complexation effect versus proton dissolution. The presence of these organic ligands displayed varied impacts, with REE dissolution remarkably enhanced by citrate, mildly promoted by DFOB, and showing divergent effects in the presence of oxalate, depending on the mineral type and reaction pH. Thermodynamic modeling indicates the dominant presence of REE-ligand complexes under studied conditions and suggests ligand-promoted REE dissolution to be the dominant mechanism, consistent with experimental data. In addition, REE dissolution mediated by these ligands exhibited a distinct fractionation toward heavy REE (HREE) enrichment in the solution phase, which can be mainly attributed to the formation of thermodynamically predicted more stable HREE-ligand complexes. The combined thermodynamic modeling and experimental approach provides a framework for the systematic investigation of REE mobilization, distribution, and fractionation in the presence of organic ligands in natural systems and for the design of green extraction technologies.

Impact of Land-Use Intensification on the Development of Sustainable Agricultural Green Innovation Technology

Impact of Land-Use Intensification on the Development of Sustainable Agricultural Green Innovation Technology

The role of foreign MNEs in China’s twin transition: a study on the organization of green and digital innovation processes

PurposeThe purpose of this study is to shed light on the twin transition in China in the organization of innovation processes in artificial intelligence (AI) and green technology (GT) development and to understand the role of foreign multinationals in Chinese innovation systems.Design/methodology/approachA qualitative research approach is used by interviewing executives from German multinationals with expertise in AI and GT development and organization of innovation processes in China. In total, 11 semi-structured interviews were conducted with companies, and the data were analysed with a thematic qualitative text analysis.FindingsThe findings show that AI applications for GT are primarily developed in cross-company projects that are led by local and regional authorities through the organization of industrial districts and clusters. German multinationals are either being integrated, remaining autonomous or being excluded from these twin transition innovation processes.Originality/valueThis paper aims to fill the gap in the literature by providing one of the first qualitative approach towards twin transition innovation processes in China and exploring the integration of multinational enterprises in cluster organizations. To the best of the author’s knowledge, this is one of the first twin transition studies from this perspective in emerging economies.

Does digitalization help green consumption? Empirical test based on the perspective of supply and demand of green products

Green consumption (GC) is an unavoidable choice for mitigating environmental pressures, achieving the “double carbon goal”, and promoting the development of a low-carbon, green society as a whole. With the rapid advancement of digitization (Digi), artificial intelligence, big data, and other associated digital technologies have become powerful driving forces for GC from both the supply and demand perspectives. Therefore, a spatial Durbin model (SDM) was utilized to investigate the local and spatial spillover impacts of Digi on GC based on panel data from 2011 to 2020 from 30 Chinese provinces. It was found that: (1) Digi can influence both the supply and demand aspects of green products, establishing a positive correlation with local GC. It also exerted a favorable incentive effect on GC in neighboring provinces through spatial connections and spatial spillover, within the framework of the imitation mechanism. Several robustness tests revealed that the effects remained significant. (2) the enhanced market mechanisms and a favorable competitive environment offered by the high-level market, in addition to the subsidy and incentive mechanisms within the government's Green Consumption Policy (GCP), were instrumental in fostering the development of GC. Consequently, the government's role in “promotion” and the market's role in “pull” had a regulating effect on the impact of Digi on GC. (3) heterogeneity analysis illustrated that Digi had a more significant promoting effect on GC in the comprehensive big data pilot and large-scale industrial digitization areas. Based on this, we suggest that the state increase investment in Digi to provide a foundation for the research and development of green digital technologies. Additionally, the state should promote the construction and improvement of green consumer markets and formulate more incentive or penalty systems conducive to promoting GC. The research results also provide a theoretical basis for the direct and dynamic effects of Digi, as well as inspiration for promoting GC and green sustainable development.