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The Organization for Economic Cooperation and Development (OECD) countries are facing unprecedented challenges related to climate change and population aging. The purpose of the analysis is to explore the relationship between population aging and environmental degradation, accounting for human capital, using a sample of 19 OECD countries over the period 1980–2019.

On the empirical methodology, the analysis uses panel estimators with heterogenous coefficients and an error structure that takes into consideration cross-country heterogeneity and cross-sectional dependence for a panel of 19 OECD countries over the period 1980–2019. To examine the relationship between population aging and environmental degradation, the authors employ two alternative measures of environmental degradation that is energy consumption and CO2 emissions in metric tons per capita. Concerning the regressors, the authors account for two alternative aging indicators, namely the elderly population and the old-age dependency ratios to confirm robustness.

The analysis provides evidence that population aging and human capital development (IHC) lead to lower energy consumption in the OECD sample. Overall, the growing number of elderly people in the OECD seems to act as a mitigating factor for energy consumption. The authors view these results as conveying the message that the evolution of population aging along with channeling government expenditures towards human capital enhancement are important drivers of curbing energy consumption and ensuring environmental sustainability. The authors' research is of great significance for environmental policymakers by illuminating the favorable energy consumption patterns that population aging brings to advanced economies.

The main limitation of this study concerns data availability. Future research, and subject to greater data availability in the future, could dig deeper into understanding the dynamics of this complex nexus by incorporating additional control variables. Similarly, the authors focus on aggregate renewable energy consumption, and the authors do not explicitly model the sources of renewable energy (wind, hydropower, solar power, solid biofuels and other). Additional analysis of the breakdown of renewable energy sources would be insightful – subject to data availability – especially for meeting the recently agreed new target of 42.5% for European Union (EU) countries by 2030. A deep transformation of the European energy system is needed for the EU to meet the target. Finally, extending the model to include a range of non-OECD countries that are also experiencing demographic transformations is a promising avenue for future research.

To the best of the authors' knowledge, this study is the first to examine the effects of population aging and human capital on environmental degradation using a broad set of OECD countries and advanced spectrum estimation methods. Given cross-sectional dependencies and cross-country heterogeneity, the authors' empirical results underline the importance of cross-OECD policy spillovers and knowledge diffusions across the OECD countries. The new “energy culture” calls for concerted policy action even in an aging era.

The aim of this study is to assess the opportunity for the development of hydrocarbon transportation using high-strength steel (HSS) in pipeline construction in terms of cost savings and reliability.

Several optimizations of pipeline design and operations were performed to estimate the total life-cycle cost variation associated with different grades of high-strength steel. The generalized reduced gradient (GRG) method was used in an Excel table to determine optimal total life cycle each pipeline. Variables used in this optimization with respect to each steel grade were as follows: pipeline external diameter, wall thickness, number of compression stations and installed power in each compression station. The reliability of a pipeline with optimal cost was assessed to highlight the impact of steel grade on pipeline reliability.

The study showed that the cost reduction is strongly dependent on the adopted gas pipeline configuration. The number of compression stations and external diameter are the main factors influencing the pipeline total life cycle cost, while the steel price seems to have a minor effect, the reduction of the gas pipeline total life cycle does not exceed 5% even with a 50% difference in pipe steel prices between X70 and X100 steels. On the other side, for the same external diameter, X100 steel presents better pipeline reliability against carbonic corrosion compared to X70 steel.

The main contribution of this study is to provide a decision-support tool to help pipeline constructors enhance the profitability of natural gas transmission pipelines. The optimization method used is simple to use for design engineers during a feasibility study.

The present study presents one step to fill the gap concerning the question of balancing the trade-off between cost savings and structural reliability in high-strength steel pipelines during the early stages of feasibility studies. The optimal design and operations parameters ensuring cost savings on total life cycle costs are identified via an optimization method. The impact of selected optimal parameters on the long-term pipeline service life was estimated via a structural reliability analysis.

This study investigates the relation between ESG-driven investment strategies and the performance of infrastructure funds. More specifically, this study examines the impact of the different dimensions – environmental (E), social (S) and governance (G) – of the ESG profile of infrastructure funds on their performance.

To study the risk-return properties of infrastructure funds and the relationship with their ESG profiles, an econometric analysis is conducted, based on a sample of 180 listed, ESG-oriented infrastructure funds identified through Refinitiv Eikon.

The results show that infrastructure funds with more solid environmental investment policies experience a lower performance, while those with a stronger social orientation yield a superior performance. Governance-related investment policies seem trivial in determining the performance of these funds. Further analysis shows that ESG controversies have a negative impact on infrastructure funds' performance, whereas Emissions and Resource Use scores, both proxying for different elements under the environmental pillar, have opposite signs. Finally, the Community score has a positive impact on funds' performance consistent with the positive impact of the social pillar score. The study also provides a number of sub-sample analyses to shed light on the conditions under which each pillar has significant impact on funds’ performance.

First, infrastructure funds should choose the composition of their portfolio holdings in a way that the total return is not penalized by the prevalence of the tricky E aspects (compliance with environmental regulations) over the main benefits of the S dimension. Second, fund managers need to bet on infrastructures with an expected impact on the social pillar dimension such as those aimed at promoting the wealth of the local communities (e.g. hospitals, schools). Third, to strengthen the fund's social dimension, fund managers must increase the dollar amount of the assets under management to count on a higher firepower.

This study makes three contributions to literature. First, the ESG profiles of the infrastructure funds operating both at local and global level and their relationship with annual performance are studied. Second, the different dimensions of the ESG profile of infrastructure funds are investigated by measuring their impact on performance. Third, the study sheds light on some detailed but relevant aspects of this phenomenon by analyzing the breakdown of the ESG profile of infrastructure funds into four sustainability sub-scores capturing their efforts to reduce CO2 emissions, the use of polluting materials and to influence local communities as well their exposure to the risk of litigation due to the occurrence of ESG controversies. This study addresses the extent to which the adoption of ESG investment policies by the infrastructure funds have an impact on their performances.

The main objective of the quantitative study is to ascertain the relationship between the circular economy (CE) and carbon emissions. And also, the study examines the threshold beyond which the quality of governance reduces carbon emissions.

The autoregressive distributed lag approach is employed for the econometrics analysis. The study employed quarterly data from 2006Q1 to 2017Q4 on Ghana.

The results indicated that, although the CE had a positive and significant effect on carbon emissions, the moderating term had an adverse and significant effect on carbon emissions. This result suggests that to mitigate carbon emissions, a robust and efficient quality of institutions should be sustained. Finally, the study also identified a quality of governance threshold of 1.155 beyond which a shift to a CE would result in a reduction in carbon emissions.

The study recommends that policymakers should initiate policies that would enhance quality governance.

The main contributions of the study are that the paper ascertained the threshold beyond which quality of governance assists circular economic practices to mitigate carbon emissions. Also, the study revealed that quality of governance is a catalyst to promote circular economic practices in reducing carbon emissions. Finally, the study ascertains the long-run effect of the variables of interest on carbon emissions.

This study is the first to examine how big data analytics (BDA) capabilities affect green absorptive capacity (GAC) and green entrepreneurship orientation (GEO). It uses the dynamic capability view, BDA and knowledge-sharing literature. There is a lack of studies addressing the BDA–GAC and BDA–GEO relationships and their potential impact on green innovation. Continuing the ongoing research discussion, a few studies examined the vital implications of knowledge sharing (KS) on GAC, GEO and green innovation.

The study used a cross-sectional and stratified random sampling technique to collect data through self-administered surveys among Chinese manufacturing firm employees. The study applied SmartPLS to analyze the obtained data.

The findings revealed that BDA capabilities positively influence GAC and GEO. In addition, GEO and KS positively impact green innovation. The KS recorded a positive impact on GAC and GEO. Furthermore, GAC and GEO recorded a partial mediating effect.

The study acknowledges that GAC is the backbone of a firm green entrepreneurial orientation, which needs to be aligned with BDA capabilities to anticipate future green business trends. GAC's help drives GEO's green business agenda. KS plays a strategic role in developing GAC, fostering GEO and improving green innovation.

The study highlights the necessity of aligning BDA capabilities to fit firms' GEO green business agendas. This study focuses on the role of BDA capabilities in developing firms' green dynamics capabilities (e.g. GAC), which helps GEO drive superior green business growth. KS develops GAC and boosts GEO to enhance green innovation.

This paper empirically addresses the effect of coercive, normative and mimetic pressures on sustainability results, focussing on the three dimensions of the triple bottom line approach: environmental, economic and social. The mediating role of compliance, analyser or proactive corporate strategies towards sustainability is also considered.

The hypotheses developed in this study were tested using data from a sample of private companies from two industries: manufacture of chemicals and chemical products, and manufacture of basic metals.

The results confirm the role played by institutional pressures for sustainability in explaining the involvement of organisations in economic, social and environmental aspects. The mediating effect of corporate strategy is also confirmed, although only for environmental aspects.

Research into sustainability development is evolving rapidly; however, few studies have explored its diffusion amongst organisations from a triple bottom line perspective by considering the role of different current external pressures, the corporate strategy and the diverse results.

本研究擬對強制壓力、規範壓力和模仿壓力對可持續性成果的影響進行實證研究。研究的焦點放在三重底線法的三個層面上,即是環境層面、經濟層面和社會層面。研究人員亦探討尋求可持續性的承諾、分析儀和積極主動的公司戰略的中介作用。

研究人員測試其建立的各項假設; 使用的數據取自兩個企業的私人公司的樣本,它們是製造化學品和化學產品的企業,以及製造基本金屬的企業。

研究結果確認了尋求可持續性所帶來的制度壓力,在解說企業於經濟、社會和環境三方面的參與上所扮演的角色。研究結果亦確認了公司戰略的中介作用,唯這只見於環境的層面上。

探討可持續性發展的學術研究發展迅速,唯當中較少從三個基本的角度去探討可持續性發展在組織內的傳播; 本研究考慮了目前各種外來壓力、公司戰略和不同的結果所扮演的角色,以彌補這研究差距。

This study aims to examine the relationship between financial inclusion, CO₂ emissions and financial sustainability across 17 African countries.

Data were sourced from the World Development Indicators for the period 2004-2021. The study performs the principal component analysis, panel fixed effects model and quantile regression estimations to investigate the relationship between financial inclusion, CO₂ emissions and financial sustainability.

The study finds that an increase in automated teller machine (ATM) penetration rate, savings and credits increases CO₂ emissions. Findings also reveal that financial sustainability reduces financial inclusion, with significant negative effects on the conditional mean of CO₂ emissions and the conditional distribution of CO₂ emissions across quantiles.

This study is beneficial for policymakers, particularly in the age of digitalization and drive for low-carbon emissions, to develop green credits for energy players and investors to take up renewable and green energy projects characterized by high levels of carbon storage and carbon capture. Further, the banking sector’s credits and liquid assets should be used to finance alternative banking energy-related equipment and services, such as solar photovoltaic wireless ATMs, and fewer bank branches.

This study aims to explore the pandemic's opportunities for enhancing the environmental practices of the food and beverages green supply chains and its effect on the supply chains' viability by exploring the relationship between fear and uncertainty of COVID-19, food and beverages green supply chain management (F&B-GSCM) and supply chains’ viability based on the two dimensions (robustness and resilience) and examine the moderating effect of innovative technology adoption like big data analysis (BDA) capabilities and blockchain technologies (BCT) on this relationship.

This study adopted partial least squares structural equation modeling (PLS-SEM) on a sample of 362 F&B small and medium enterprises (SMEs)’ managers in the Egyptian market for data analysis and hypothesis testing.

The empirical results show that the fear and uncertainty of the pandemic have a significant positive effect on green supply chain management (GSCM). Also, BDA moderates the relationship between fear and uncertainty of COVID-19 and GSCM. However, BCT do not moderate that relationship. Similarly, GSCM positively affects supply chain viability dimensions (robustness and resilience). In addition, F&B-GSCM significantly mediates the relationship between fear and uncertainty of COVID-19 and supply chain viability dimensions (robustness and resilience).

Food and beverages (F&B) managers could develop a consistent strategy for applying BCT and BDA to provide clear information and focus on their procedures to meet their stakeholders' needs during COVID-19. Governments and managers should develop a consistent strategy to apply food and beverages supply chains (F&B SCs)' green practices to achieve F&B SCs' resilience and robustness, especially during the pandemic.

The Egyptian F&B SCs have been linked directly with many European countries as a main source of many basic food and agriculture products, which have been affected lately by the pandemic. Based on the “social-cognitive,” “stakeholder” and “resource-based view” theories, this study sheds light on the optimistic side of the COVID-19 pandemic, as it also brings the concepts of F&B-GSCM, SC resilience, SC robustness and innovative technologies back into the light, which helps in solving F&B SC issues and helps to achieve their viability.

The choice of crops to produce at a location depends to a large degree on the climate. As the climate changes and food demand evolves, farmers may need to produce a different mix of crops. This study assesses how much cropland may be subject to such upheavals at the global scale, and then focuses on China as a case study to examine how spatial heterogeneity informs different contexts for adaptation within a country.

A global agricultural economic model is linked to a cropland allocation algorithm to generate maps of cropland distribution under historical and future conditions. The mix of crops at each location is examined to determine whether it is likely to experience a major shift.

Two-thirds of rainfed cropland and half of irrigated cropland are likely to experience substantial upheaval of some kind.

This analysis helps establish a global context for the local changes that producers might face under future climate and socioeconomic changes. The scale of the challenge means that the agricultural sector needs to prepare for these widespread and diverse upheavals.

The study aims to investigate the impact of financial inclusion (FI) on environmental quality and the mediating role of industrialization (IZ). In addition, these relationships among the counties with different levels of income and carbon emissions were also analyzed.

This paper used the International Monetary Fund database for indicators of FI. The environmental indicators were obtained from the World Bank database for a panel of worldwide countries from 2004 to 2019. Separate indices of environmental sustainability (ES) and environmental degradation (ED) were created by using principal component analysis . The generalized method of moments regression was applied to examine the relationship between variables.

The study found full mediation of IZ between FI and ES, whereas partial mediation between FI and environmental degradation. The results were found robust against alternative measures of carbon emissions. Furthermore, the study also bifurcated the sample according to the level of income and carbon emission. It was found that FI plays a positive role in the betterment of environmental quality for high-income countries, while a negative role in upper-middle-income, lower-middle-income and low-income countries. Besides, FI has a negative role in the ES of the countries having higher or lower carbon emission levels.

Empirically this study contributes by creating two different novel measures of ES and environmental degradation, in contrast to other studies that solely relied on carbon emission. Contrary to previous studies, this study suggests that FI is not solely responsible for environmental damages, and IZ is the key channel by which FI shifts its impact on ES. Moreover, for environmental degradation, there are some other channels involved that need to be investigated further. This study has also noted that the relationship between FI and ES is context-dependent. Theoretically, this paper contributes to the literature by using ecological modernization theory in the nexus of FI, IZ and environmental quality.