A step towards achieving SDG 2030 agenda: Analyzing the predictive power of information globalization amidst technological innovation-environmental stewardship nexus in the greenest economies

How exports affect green technology innovation in small- and medium-sized enterprises? Evidence from Chinese companies listed on the growth enterprise market

Using matched data from China Stock Market and Accounting Research (CSMAR) and Wind databases, this paper explores the impact of exports on the green technology innovation (GTI) of small- and medium-sized enterprises (SMEs). The mechanisms are analyzed through a two-way fixed effects model. First, exports contribute significantly to GTI of SMEs. Second, exports mainly contribute to GTI of SMEs by attracting government subsidies and increasing firms' environmental awareness. Third, from the perspective of heterogeneity, exports significantly positively impact GTI of SMEs especially in medium- and low-technology industries and in eastern China. The impact of exports on GTI is also examined by replacing core variables, modifying the sample for robustness testing, and utilizing both urban river density and distance from the center of the city to the nearest port as instrumental variables for endogeneity test. With the continuous development of international import and export trade, enterprises increase GTI research and development by attracting government subsidies, improving the quality of disclosed information, and increasing environmental awareness.

Revisiting the nexus between digital trade, green technological innovation, and environmental sustainability in BRICS economies

After the UN Climate Action Summit in 2019, many countries started progressing towards race to zero targets. The intricate framework of digitalization and green technologies has the potential to persuade governments to implement policies that promote a zero-carbon economy, i.e., green economy. Hence, this study determines the effect of digital trade (DGT) and green technological innovation (GTI) on environmental sustainability (ENS) by considering the role of renewable energy consumption (REC), globalization (GLOB), and economic growth (EG). The study measured ENS by taking into account three proxy variables, i.e., ecological footprint (EF), carbon dioxide emission (CO2e), and methane emissions (CH4e). POLS and PMG-ARDL techniques are applied to the panel data of BRICS (Brazil, Russia, India, China, and South Africa) from 2000 to 2019. Panel Quantile Regression (PQR) along with AMG and CCEMG estimators is applied hereafter for checking the robustness of the empirical results. The long-run empirical outcomes show the positive association of DGT, GTI, REC, and GLOB with ENS. Lastly, this study inscribed the Environmental Kuznets Curve (EKC) and highlights policy implications and governmental measures to ensure environmental sustainability in BRICS economies.

The role of digital transformation in supply chain efficiency and economic output

From the perspective of sustainable supply chain management (SSCM), this research looks at the key elements influencing how small- and medium-sized companies (SMEs) move toward a circular economy (CE). This research aims to understand the elements that influence SMEs to embrace CE principles and determine the real-world applications of SSCM practices. This research gathered and analyzed data from diverse European SMEs working inside CE networks using a mixed-method approach. We received answers from several of these firms using a survey form sent and emailed to them. The replies were then assessed using an independent t test to account for any biases. We used confirmatory factor analysis (CFA) for the validity assessment, compound consistency, and corrected-item-total association measures to validate the model's validity and reliability. According to our research, SMEs are influenced significantly by societal pressures, green economic incentives, and environmental dedication when deciding whether to adopt CE practices. Our study further emphasizes the importance of SSCM for SMEs' successful transition to a CE model, especially regarding resource and waste management efficiency. This work contributes to the corpus of research on the topic by providing empirical support for the function of SSCM in easing the transition towards CE in the setting of SMEs. The results might serve as a reference for managers and policymakers as they create plans to encourage SMEs to embrace CE practices and to emphasize the advantages of such a change on the economic, social, and environmental fronts. Putting a particular emphasis on the vital roles that public pressure, green financial incentives, and ecological dedication play, this research provides insights into the complex interactions between SSCM and CE transition in SMEs. Further study is needed to examine how these determinants could fluctuate across various industries and geographies.

Dynamic assessment of the impact of agricultural land use change and globalization on environmental quality in the tropical African Rainforest: evidence from the Congo Basin

The rising human demand for food has increased the pursuit for more agricultural land to feed the ever-growing human population. Although agriculture constitutes the cornerstone of most economies and serves as a vital source of foreign earnings to others, experts suggest that it emits a substantial amount of greenhouse gases into the atmosphere, thereby enhancing global warming. Furthermore, with the growing pace of globalization, less developed countries are witnessing economic growth with detrimental impacts on the environment. Inspired by the need to protect tropical rainforests and basins, the current research aims to assess the dynamic impacts of agricultural land use change (LALUC) and globalization (LGLO) on environmental quality (LCO2) in the Congo Basin while controlling for economic growth (LGDP), biomass energy consumption (LBIO), and urbanization (LURBN). Based on panel data from 1980 to 2018, this study utilized second-generation econometric methods including the cross-sectional Im, Peseran Shin (CIPS), Westerlund bootstrapped co-integration test, autoregressive distributive lag/pooled mean group (ARDL/PMG), and the Dumitrescu Hurlin (D-H) panel causality estimates. The outcome reveals a long-run equilibrium co-integrating association among the estimated variables, and LALUC, LBIO, and LURBN were found to reduce LCO2, while LGDP and LGLO increase LCO2. These findings imply the inverted U-shaped relationship between LALUC, LBIO, and LURBN is beneficial for environmental quality in the Congo Basin. Based on the findings, environmental quality and economic growth can be achieved instantaneously in this region by engaging in large-scale production of biomass energy. Therefore, policymakers and governments should promote renewable energy use and convey foreign funds towards its enhancement, while investments in agriculture should prioritize environmentally benign practices such as agroforestry.

Unveiling the environmental efficiency puzzle: Insights from global green innovations

The latest surge of global uncertainty and disruptions in global supply networks put policymakers under pressure to emprise green innovations as a vital tool to address environmental concerns. However, producing green innovations doesn't always help in achieving environment-related sustainable development goals. Therefore, in this study, we endeavour to investigate to what extent green innovations are efficient in improving environmental efficiency. To this end, a network bias-corrected data envelopment analysis and clustering analysis is applied. The data used in this study covers 42 countries from different regions, spanning from 2000 to 2020. The results reveal that most countries have not made major advancements in environmental efficiency signifying the low level of green innovations utilization to achieve environment-related sustainable development goals (SDGs). Additionally, the results demonstrate a U efficiency curve for inputs-oriented green innovations efficiency over time, indicating that the initial stages of green innovations production are associated with a decreased return. However, over time, the efficiency exhibits an upward trend. The benchmarking analysis reveals that South American and European Union nations set the bar for other countries in terms of efficiently leveraging green innovations to achieve SDGs. Our findings also suggest that environmental efficiency is more dependent on green-supporting policies such as green energy production and green taxes. As a result, we conclude that achieving environmental SDGs while utilizing green innovations does not always result in the development of other SDGs. Therefore, policymakers need to prioritize pursuing a green developmental approach and supporting policies to achieve environment-related SDGs and other SDGs.

Towards sustainability: the impact of industrial synergistic agglomeration on the efficiency of regional green development

Guided by the concept related to sustainable development, we investigate the effects related to the synergistic agglomeration development of productive service and manufacturing industries on regional green development, which is also an important path for promoting the global sustainable development process and achieving carbon neutrality goals. Using the panel data of 285 prefecture-level cities in China from 2011 to 2020 as the basis of our study, we focus on the impact of industrial synergistic agglomeration on the efficiency of regional green development and the mediating influence of technological innovation. Results show that (1) industrial synergistic agglomeration positively contributes to the improvement of regional green development efficiency level and is significantly positive at the 5% level, (2) technological innovation plays a mediating role in the process of promoting regional green development efficiency through industrial synergistic agglomeration and can better realise the green development effect of industrial synergistic agglomeration, (3) results of the threshold effect test show the nonlinear effect of industrial synergistic agglomeration on regional green development efficiency with a single threshold value of 3.2397, and (4) the effect of industrial synergistic agglomeration on regional green development efficiency shows significant variability under different geographical locations, city scales, and resource endowment conditions. On the basis of these findings, we propose corresponding policy recommendations for improving the quality of inter-regional industrial synergistic agglomeration and formulating differentiated policy guidelines to help regions achieve long-term sustainable development.

Environmental quality and energy transition prospects for G-7 economies: The prominence of environment-related ICT innovations, financial and human development

Energy transition and reducing greenhouse gas emissions are fundamental to achieving sustainable development and ensuring a bright and healthy future. To contribute to the empirical literature on these objectives, this study explores the long-term influence of environment-related ICT innovations (EICT) on energy transition and greenhouse gas emissions (GHGE) in G-7 economies for the first time, while considering financial development (FD) and human development (HD). Additionally, the study investigates the moderating role of FD with EICT and HD in energy transition and GHGE. Using a Cross-Sectional Augmented Distributed Lag (CS-ARDL) technique to tackle the issues of cross-sectional dependency and slope heterogeneity, the study evaluated data from 1990 to 2020. The results indicate that EICT, FD, and HD have a significant positive effect on long-term energy transition, and mitigate GHGE in G-7 economies. Furthermore, the influence of EICT and HD on energy transition and GHGE is amplified in the presence of financial development, as evidenced by the moderating effect of FD. Based on these facts, the study suggests various policy measures, such as investing in clean technologies and education, to promote the energy transition and environmental quality in G-7 economies to achieve sustainable development goals.

The impact of green accounting on environmental performance: mediating effects of energy efficiency

This study investigates the relationship between green accounting, energy efficiency, and environmental performance in the context of Bangladeshi pharmaceutical and chemical companies. The study also explores the mediating role of energy efficiency in the relationship between green accounting and environmental performance. A total of 326 responses were collected using a simple random sampling technique from pharmaceutical and chemical companies in Bangladesh. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the data. The results indicate that green accounting has a significant positive impact on both energy efficiency and environmental performance. Moreover, energy efficiency partially mediates the relationship between green accounting and environmental performance. The study also found that economic, environmental, and social practices of green accounting positively impact energy efficiency and environmental performance, with environmental practices having the highest impact. The findings of this study provide important insights for managers and policymakers of pharmaceutical and chemical companies in Bangladesh, highlighting the need for green accounting practices that promote environmental sustainability. The study suggests that integrating green accounting practices can lead to better energy efficiency and environmental performance, which can enhance the reputation and competitive advantage of these companies. This study identifies the mediating role of energy efficiency in the relationship between green accounting and environmental performance, providing a unique perspective on the mechanism behind the relationship.