Solar energy technology adoption and diffusion by micro, small, and medium enterprises: sustainable energy for climate change mitigation

The effect of incentive policies on the diffusion of construction and demolition waste recycling: A government perspective

Construction and demolition (C&D) waste recycling plays a significant role in waste reduction and carbon reduction, which is critical for sustainable development. However, due to various limitations such as financial problems, C&D waste recycling industry is not well developed in developing countries. To address this problem, this study combines complex network theory and evolutionary game theory to analyse the diffusion of C&D waste recycling behaviour among enterprises under governmental incentive policies within a complex network context. The results demonstrate that the size of the network has limited effects on behaviour diffusion in Watts-Strogatz small-world network. Additionally, the study highlights the clear impact of governmental incentive probability, initial rate and connection degree on the diffusion path. By quantitatively investigating the effects of incentive tools, this study contributes to the knowledge of C&D waste management and provides valuable implications for stakeholders seeking to promote the diffusion of C&D waste recycling.

Carbon emissions of power transmission and transformation projects in the whole life cycle for smart sustainable energy systems

The study investigates the optimization of life cycle carbon emissions in smart sustainable energy systems through power transformation and transmission project power load predictions. Firstly, a multi-task learning-based short-term user load forecasting technique is developed, where the power load curves of multiple residential customers are grouped and classified using the K-means clustering method. Additionally, the Bidirectional Long Short-Term Memory (BiLSTM) technique is introduced to anticipate the power load intelligently. Secondly, a life cycle carbon emission assessment model for the power transmission and transformation project (PTTP) is constructed based on the life cycle assessment (LCA) method, which divides the project's life cycle into four stages: production, installation and construction, operation and maintenance, and demolition. Finally, an experimental evaluation of this model is conducted. The results demonstrate that compared with the baseline model Long Short-Term Memory (LSTM), this model achieves a significantly lower average Mean Absolute Error (MAE) at 3.62% while achieving significantly higher accuracy in power load forecasting at 94.34%. A comprehensive examination of carbon emissions across all four phases reveals that overall carbon emissions are highest during the operation and maintenance stage followed by the equipment production stage and installation/construction stage, with the lowest overall carbon emissions observed. Hence, this study endeavors to forecast power load demand with precision and identify the principal determinants of carbon emissions in power engineering. By discerning and managing these key factors, an optimal, energy-efficient intelligent power load scheme can be derived.

Does active transport create a win-win situation for environmental and human health: the moderating effect of leisure and tourism activity

The current environmental crisis is mostly due to global warming. Promoting walking and cycling requires both the availability of green public areas (such as parks, green paths, and greenways) and a mentality that values such active modes of transportation. Significant health advantages from increased physical activity (PA) are associated with transportation options like walking and cycling (sometimes known as "active transportation," AT): the health and environmental advantages of encouraging workers to use bicycles for transportation been widely acknowledged. The authors of this research set out to fill this information gap by investigating the theoretically theorized links between green public space awareness and attitudes toward active mobility, adapting to a changing environment, and improving one's mental and physical health, with leisure and tourist activities serving as a moderator. The data was collected quantitatively using purposive sampling and then analyzed using PLS-SEM. We surveyed Korean walkers (n = 282) and bikers (n = 315) online between May 25 and June 17, 2021, and used a partial least squares structural equation modeling (PLS-SEM) analysis to test our hypothesis. As stated in the findings, being conscious of green public space when using active transportation significantly affects how clean the air feels. Active transportation was shown to have a significant effect on health, and climate change mitigation efforts were found to have a significant effect on health. Those who used active transportation for tourism had a stronger connection between green public space awareness and air quality, in addition to environmental sustainability and ethical conduct mitigation, than those who used active transport for recreation. Therefore, the model may aid in locating transport and health scenarios that benefit both sectors.

Analyzing the influencing factors of collaborative innovation and industrial structure upgrading on the economy: reflection on the economic dilemma of enterprises

The present study has investigated the impact of enterprises, collaborative innovation, industrial structure, inflation, and entrepreneurship in 27 provinces of China. The study used annual time series data from 2003 to 2019. This study adopts the CC-EMG and AMG tests to estimate the long-term association between the variables. The study applied one-step system GMM, two-step system GMM, Cup-FM, and Cup-BC regression estimations to calculate robust and reliable outcomes. The findings show that collaborative innovation, industrial structure, and entrepreneurship positively impact economic growth, whereas enterprises and inflation negatively impact economic growth. The estimated results also provide important policy implications for the selected and the other emerging economies in designing an appropriate way forward to economic development.

Does higher education promote sustainable development? Role of green technology and financial performance

How do digitalizing businesses help them achieve sustainable growth? This research examines the mediating function of green technology innovation in answering this question by defining sustainable development performance in terms of corporations' financial and environmental success. The educational system in China is examined to see how much of an impact it has on eco-innovation, as well as the relationship between green technology and innovation. The IFE test was utilized to determine whether or not the associations between variables such as GDP per capita, urbanization, green technology, higher education, and carbon dioxide emissions will continue to exist between 2004 and 2020 in China. The data for this analysis came from 30 of China's provinces. The findings of both the short-term and long-term CS-ARDL estimations demonstrated a positive link between eco-innovation and GDP per capita, green technology, higher education, and CO2 emissions. On the other hand, a negative correlation was found between urbanization and eco-innovation. The next topic covered in the research was how the effects of green technology might be seen in areas such as GDP per capita, higher education, and carbon dioxide emissions. The findings might provide valuable knowledge that developing economies can use to construct a feasible, sustainable path.

Technology adoption path of construction and demolition waste recycling under governmental subsidy: a theoretical model

To achieve sustainable development, waste recycling is regarded as an ideal method to dispose of construction and demolition (C&D) waste. The economy is seen as the priority factor influencing recycling technology adoption. Hence, the subsidy is generally used to cross the economic barrier. To illustrate the recycling technology adoption path under governmental subsidy, this paper constructs a non-cooperative game model to investigate the impact of governmental subsidy on the C&D waste recycling technology adoption. By taking adoption profit, opportunity cost, and initial adoption marginal cost into consideration, the best time to adopt recycling technology and adoption behavior is discussed in detail in four scenarios. Results show that the governmental subsidy has a positive impact on C&D waste recycling technology adoption, and the subsidy could advance the adoption time of recyclers. If the subsidy proportion can reach 70% of the cost, recyclers will adopt recycling technology at the initial time. The results could contribute to a deeper understanding of C&D waste management by promoting the development of C&D waste recycling projects and also provide references to governments.

A novel EKC perspective: do agricultural production, energy transition, and urban agglomeration achieve ecological sustainability?

We aim to analyze the existence of a novel agricultural production-augmented environmental Kuznets curve (EKC-AP) theory for energy transition, urban agglomeration, and financial depth. To conduct this research, we use a global panel of selected 54 countries belonging to low, medium, and high levels of economic development from 1971 to 2017. Since our data are distributed into three development levels, it is highly likely to face cross-sectional dependence across the countries within and between the development levels, which may provide biased empirical results. To outpace such possibility, we employ advanced econometric strategies, which are robust to cross-sectional dependence and slope heterogeneity issues. We found that agricultural production, energy transition, urban agglomeration, financial depth, and ecological degradation experience a long-term cointegrating equilibrium association. We also confirm that exists an EKC-AP linkage of agricultural production with ecological degradation in highly developed economies, while those at the low and medium levels of development reveal a positive exponential and monotonic impact, respectively, of agricultural production on ecological degradation. The energy transition is found to promote ecological sustainability in developed countries through technique impact, while it deteriorates the ecological quality in countries at the medium development level. Moreover, urban agglomeration adversely impacts the ecological quality in the economies at low and medium development levels, whereas it improves the ecological sustainability in developed economies. Besides, financial depth proves harmful to ecological sustainability, with less subtle effects in developed economies. Based on our findings, for countries at low and medium levels of development, we propose advancing farming techniques using ecologically friendly technologies, promoting green energy transition, expanding the share of the services sector, and providing green financial systems to support green investment projects to achieve the Sustainable Development agenda of the United Nations.

Towards sustainable environment: why green energy technology diffusion is sluggish in South Africa?

Energy security, job development, and minimal environmental damage are just a few of the reasons why green energy technologies have gained popularity. Still, developing these technologies in underdeveloped countries is sluggish due to several bottlenecks. To find and prioritize the bottlenecks to development of green energy technologies (GETs), this study has used the case of South Africa. In this study, technical, financial, social, regulatory, geographical, and institutional bottlenecks are six headings under which 22 bottlenecks are further subdivided. For prioritizing these bottlenecks, a Multi-Objective Optimization based on Ratio Analysis (MOORA) strategy combined with an Evaluation based on Distance from Average Solution (EDAS) method was used. The top three bottlenecks impacting the GETs' development involved social, institutional, and regulatory, whereas in sub-headings, corrupt political systems, knowledge of the public, and fixed investments were revealed to be the most significant hurdles. In addition to that, a framework is also developed for assessing how each bottleneck hinders the development of green energy technologies. The results of this study recommend that formulation of policy using the bottom-up approach is important. Notably, politicians at the highest levels should work together to bolster government agencies so that they can monitor and carry out the policies designed to advance GETs. Building the institutional capacity of government offices is crucial for eliminating corruption in political offices and progressing GETs in South Africa.

Does green technology advancement and renewable electricity standard impact on carbon emissions in China: role of green finance

Renewable energy growth should be accelerated in order to meet our goal of carbon neutrality and peak carbon emissions. Laws like the Renewable Electricity Standard (RES) are becoming increasingly important in producing renewable energy. Using green technology advancements is seen as balancing economic growth with environmental security. Though the connection between green technology advancements and CO₂ emissions is poorly understood, empirical research is lacking, especially in developing countries. Climate change action now falls under a single overarching contract, signed in Paris on November 4, 2016. Global warming mitigation aims to keep temperature increases to no more than 2 °C above preindustrial levels. By 2060, China intends to reach carbon neutrality by developing green technologies (GTI). Because of these interconnections, this research explores the relationship between green technology innovation (GI) and renewable energy investment (REI) in selected Chinese provinces from 2005 to 2019. GI, REI, urbanization, industrial value-added, and income per capita were all considered in the STIRPAT model. We used a panel of chosen regions to test two relatively new panel estimation methods empirically: "continuously updated fully modified" (Cup-FM) and "continuously updated bias-corrected" (Cup-BC). According to our findings, urbanization and green technological developments positively impact CO₂ emission reduction. The panel also finds that investments in renewable energy and the industrial sector fail to reduce pollution levels. A positive and negative coefficient of income per capita indicates that the inverted U-shaped EKC hypothesis is valid for the Chinese provinces. The results provide vital strategy insights and recommendations for the panel of experts and countries worldwide.

Toward next-generation green solar cells and environmental sustainability: impact of innovation in photovoltaic energy generation, distribution, or transmission-related technologies on environmental sustainability in the United States

Photovoltaic is emerging as a cost-competitive source of energy generation and has experienced a decade of substantial cost decline. Recognizing that innovation in sustainable technologies can substantially contribute to the sustainable generation of energy, the federal government, universities, and industries in the USA have invested considerably in innovative solar technologies involving photovoltaic energy generation. However, the association between innovations in photovoltaic energy generation, distribution, or transmission-related technologies (IPVEGRT) and carbon dioxide emissions is unclear. The present study significantly contributes to energy economics by inspecting the nexus between IPVEGRT and carbon dioxide emissions, renewable energy consumption, the expansionary monetary policy, international collaboration in green technology development, gross domestic product per capita, and trade openness in the USA from 1990Q1 to 2018Q4. The results indicate that IPVEGRT helps reduce carbon dioxide emissions. International collaboration in green technology development and renewable energy consumption was negatively associated with carbon dioxide emissions, while expansionary monetary policy, gross domestic product per capita, and trade openness were positively associated with carbon dioxide emissions. The two-way causality between IPVEGRT and carbon dioxide emissions and between international collaboration in green technology development and carbon dioxide emissions was validated. Finally, a one-way causality between expansionary monetary policy, carbon dioxide emissions, gross domestic product per capita, and carbon dioxide emissions was validated.

An empirical assessment of electricity consumption and environmental degradation in the presence of economic complexities

To a large extent, the theories and concepts behind the effect of ecological footprint have been the paramount concern of the recent literature. Since the rising and falling of environmental degradation have been a continuous issue since the first phase of development, determinants such as economic complexity may play a critical role in achieving long-term sustainable development in the framework of environmental Kuznets curve (EKC) paradigm. Therefore, this research expands on the notion of an EKC paradigm for the world's top ten most complex economies by considering four variables, such as real GDP per capita, electricity consumption, trade openness, and a new putative factor of environmental obstacle, the economic complexity index (ECI). This is one of the first studies to look at the impact of ECI on the ecological footprint of a specific sample from 1998 to 2017. The findings demonstrate a continuous inverted U-shaped link between real GDP per capita, the square of real GDP per capita, and ecological footprint. The EKC hypothesis is found to be valid in the long term in the examined complex economies. The findings of the panel autoregressive distributed lag (ARDL) of the pooled mean group (PMG) and fully modified ordinary least squares (FMOLS) estimations demonstrate that in the long term, electric power usage contributed to the carbon footprints. Furthermore, the economic complexity index and trade openness increase environmental performance over time. To determine if there is causation between the variables, we employ the panel vector error correction model (VECM) framework. Particularly, the results show unidirectional causality running from electric power consumption to ecological footprint and bidirectional causal relationship between (1) economic growth and ecological footprint; (2) square of economic growth and ecological footprint; (3) economic complexity index and ecological footprint; and (4) trade openness and ecological footprint.

Intra-industry peer effect in corporate environmental information disclosure: Evidence from China

Corporate environmental information disclosure is an important way for stakeholders to understand the performance of corporate environmental responsibilities. To explore the group relevance of corporate environmental information disclosure, this paper empirically tests the intra-industry peer effect of corporate environmental information disclosure using a panel fixed-effects model based on data of Chinese heavily polluted listed companies from 2015 to 2019 and studies its formation mechanism and impact path. The results show that there is an intra-industry peer effect in corporate environmental information disclosure; this effect exists in corporations of different ownership; social learning mechanism and environmental pressure mechanism are the channels to form the intra-industry peer effect of corporate environmental information disclosure; there are both intra-group imitation and inter-group imitation in the intra-industry peer effect of corporate environmental information disclosure. Based on the research results, the government can select corporations in various industries with excellent quality of environmental information disclosure as benchmarks to provide learning templates for corporations with inferior information. At the same time, the government can impose appropriate environmental protection pressure to promote learning and imitation among corporations. It is important to note that when selecting benchmarking companies, priority should be given to large and high-performing corporations.

Research on the coupling and coordination of green finance, higher education, and green economic growth

Green finance is the main way to solve financing problems and support green technology innovation. The development of higher education is the source of innovative human capital and a key factor in promoting green economic growth. Studying the relationship between the three is an important realistic meaning for achieving green economic growth. Based on the idea of system coupling, this paper adopts the analysis method of the three-system coupling coordination model. This paper constructs a three-system coupling model, which incorporates green finance, higher education, and green economic growth into a unified framework, and based on a comprehensive review of the interaction and mechanism, the degree of system coupling is analyzed from the regional and provincial levels. Conclusions of the study are as follows: (1) the composite indexes of green finance, higher education, and green economic growth are all on the rise. The highest increase has been found in the index of higher education. In addition, the green finance index has also shown an accelerated upward trend in recent years, and green economic growth index has also shown a steady rise in recent years. (2) The upward trend of the coupling degree is relatively observable, but the overall coupling degree is still at low level. The coupling state has jumped from the low-degree coupling stage to the primary coupling stage, and the coupling degrees of the three major regions all show a fluctuating rising trends, but there are apparent regional differences. The degree of coupling between the eastern region and the other two regions is quite different. (3) During the sample period, the degree of coordination between green finance, higher education, and green economic growth in each province has increased to varying degrees. The degree of coordination in the eastern region is the best, the western region is the worst, and the central region is somewhere in between. The study concludes with implications for the protection of the environment. Finally, based on the empirical analysis results, this paper puts forward corresponding countermeasures and suggestions from the perspectives of improving the ability of green technology innovation, promoting the development of green finance and the high-quality development of higher education, and hoping to provide theoretical reference for the coordinated development of China's regional economy.

Assessing the Green R&D Investment and Patent Generation in Pakistan towards CO2 Emissions Reduction with a Novel Decomposition Framework

Energy plays an imperative role in global economies, such that products and services are generally dependent on energy use. This study leads to the application of environmental policies under green research and development (R&D) investment in Pakistan. Existing research has tried to analyze the effects of R&D investment associated with patent applications using the logarithmic mean Divisia index (LMDI) method called PATENT. The objective of this method is to examine the variations in R&D activities motivated by the reduction of fossil fuel power. The research contributes the following: (1) the R&D reaction is the main factor in raising the number of patent applications, while R&D efficiency needs more enhancements. (2) Reaction and production effects are imperative in raising the number of patent applications during the study period. (3) R&D expenditure presents a significant rise in renewable energy technologies (RETs), by 6.7% yearly, which ultimately impacts the economy, sustainability, and the environment. (4) Energy intensity shows a lowering trend in economic development, which confirms that that share of energy will decline, and that Pakistan will move towards significant contributions. Finally, the results show that raising R&D investments, technology transfer and engendered measures are the authentic approaches to Pakistan’s environmental and economic development. Based on the analyzed method, the study recommends that environmental regulation policies’ efficiency be incremented by investing and joining them with RETs. Furthermore, the concerned policies linked with the estimated outcomes are provided below.