Evaluating the effects of ECON-ESG on load capacity factor in G7 countries.

For the first time, this study introduces the ECON-ESG quadruple, developed by Isik et al. (2024a), by adding the economy (ECON) dimension to the classical ESG (environment, social, governance) triad. Based on this new concept, it explores the impact of ECON-ESG factors on the Load Capacity Factor (LCF) in G7. The impact of ECON-ESG factors on LCF is vital because sustainability through these factors plays a critical role in a sustainable environment with LCF. CS-ARDL model finds that while governance factors (GOVNF) positively affect LCF, economic factors (ECONF) have negative effects. Environmental factors (ENVF) and social factors (SOCF) do not affect LCF. These findings can be interpreted as follows: (i) Negative effects of ECONF on LCF can be interpreted as high productivity levels in G7 leading to high resource consumption, exceeding biocapacity. (ii) In G7 with high-income levels, increased consumption may lead to overconsumption of natural resources and exceeding biocapacity. (iii) High technological progress in G7 can sometimes paradoxically lead to greater resource consumption rather than encouraging more efficient resource use, increasing an ecological footprint. The positive effects of GOVNF on LCF can be interpreted as follows: (iv) High and quality governance practices and policies in G7 can increase biocapacity. (vi) Under good governance, governments and environmental organizations can positively impact LCF by raising public awareness of environmental issues and enabling society to use natural resources more sustainably. Therefore, policymakers should harmonize economic policies through ECONF and governance policies through social factors (GOVNF), which contradict each other in LCF. Additionally, the effect of the single composite form ECON-ESG introduced and proposed in this study on LCF is found to be negative. This requires policymakers and firms to re-evaluate their sustainability one more time from a holistic perspective, including economic factors, as done in this study.

Analysis of collaborative control of dairy product supply chain quality based on evolutionary games: Perspectives from government intervention and market failure.

Dairy quality affects the health and quality of life of consumers. Implementing supply chain management and collaborative quality control is an effective way to solve dairy quality problems. Based on the perspective of the combination of market failure and government intervention, this paper analyzes the conditions for the realization of collaborative quality control between dairy farmers and dairy processors. At the same time, this paper uses relevant data to verify the applicability of the model and the accuracy of the conclusions. The findings show that both low yields and high spillovers lead to market failures. When farmers adopt advanced prevention strategies and dairy processors adopt advanced inspection strategies with low yields, basic prevention and basic inspection will be the best combination of quality control strategies for both parties. In this case, the government should subsidize the advanced control strategy to provide adequate subsidies. This will provide incentives for both parties to work together to ensure the quality of dairy products. Secondly, when farmers adopt advanced prevention strategies or dairy processors adopt advanced inspection strategies yields increase but spillover rates are higher. Advanced prevention, basic inspection or basic prevention, advanced inspection would be the optimal combination of strategies for both parties. At this point, the government should increase the penalties. The simulation results further indicate that the government subsidy is more effective for dairy farmers. Government penalties have both the positive and negative reinforcing effects.

Institutional quality, oil price, and environmental degradation in MENA countries moderated by economic complexity and shadow economy.

This paper aims to analyze the link between environmental degradation and institutional quality and the price of oil moderated by economic complexity and the underground economy. We use quantile regressions with annual panel data for 15 countries in the Middle East and North Africa during 1995-2021. The findings indicate that institutional quality, economic complexity, and output positively and heterogeneously impact environmental degradation. However, the square of production has a negative impact, confirming an inverted U relationship between production and environmental degradation. Likewise, we find that the price of oil and the underground economy have a negative and heterogeneous impact on environmental degradation. Based on our results, a potential recommendation for policymakers is that the institutional framework of Middle Eastern and North African countries should be accompanied by a more significant concern for the environment instead of prioritizing extractive growth that is detrimental to the environment's environmental sustainability. Likewise, economic diversification will mitigate environmental degradation and improve formal employment. Our findings are relevant to policymakers and researchers interested in promoting ecological sustainability.

Functional and Histological Changes in Umbilical Artery and Myometrium Isolated from IUGR Complicated Pregnancies.

Objective: To investigate the relaxation responses mediated by L-type Ca2+ channels and big-conductance Ca2+-activated K+ (BKCa) channels and histological changes in the human umbilical artery (HUA) and myometrium smooth muscle isolated from pregnancies complicated with intrauterine growth restriction (IUGR).Methods: The muscle reactivity and the histology of the smooth muscle of the HUA and myometrium retrieved from 14 women with IUGR and 14 controls were investigated by the isolated tissue bath and immunohistochemical method.Results: In HUA, the maximum relaxation responses and pD2 values of nifedipine and NS11021 (BKCa channel opener) were significantly increased and significant histopathological changes are observed in the IUGR group.Conclusions: The pathogenesis of IUGR might be associated with the impairment in the functional responses of L-type Ca2+ channels and BKCa channels in HUA smooth muscle. The increased staining of myometrium and UC with HIF-1α in IUGR may indicate apoptosis, histological damage, and impaired fetal growth.

The impacts of renewable energy and institutional quality in environmental sustainability in the context of the sustainable development goals: A novel approach with the inverted load capacity factor.

It is crucial to fulfill sustainable development goals in combating environmental pollution. Recently, there has been a growing literature on environmental pollution; however, while many proxies represent environmental pollution, few proxies represent environmental sustainability. In this paper, we examine the effects of institutional quality (SDG-16), economic growth (SDG-8), and renewable energy (SDG-7) on the inverted load capacity factor (SDG-13) in OECD countries from 1999 to 2018. The objective is to ensure environmental sustainability within the Sustainable Development Goals (SDGs) framework. In this respect, the study differs from the existing literature by approaching the sustainable environment literature from a broader perspective. Long-term empirical estimates from the PMG-ARDL technique have shown that institutional quality, reel income, and population increase the inverted load capacity factor, that is, decrease environmental sustainability. However, on the contrary, renewable energy decreases the inverted load capacity factor. Therefore, renewable energy consumption helps reach SDG-7 and SDG-13 in OECD countries. In addition, it is found that economic growth is significant both in the long run and in the short run, and the impact of economic growth on the environment is greater in the short run than in the long run. This result supports the environmental Kuznets curve (EKC) hypothesis for OECD countries. The panel causality test results find a bidirectional causality relationship from renewable energy and population to inverted load capacity factor and a unidirectional causality relationship from institutional quality to inverted load capacity factor. This study argues that policymakers should concentrate on deploying environmentally friendly technology to slow down environmental degradation, increase the usage of renewable energy sources, and promote sustainable development in line with the SDGs.

The nexus between government spending, economic growth, and tourism under climate change: testing the CEM model for the USA.

This study examines the impact of government spending, income, and tourism consumption on CO2 emissions in the 50 US states through a novel theoretical model derived from the Armey Curve model and the Environmental Kuznets Curve hypothesis. The findings of this research are essential for policymakers to develop effective strategies for mitigating environmental pollution. Utilizing panel cointegration analysis, the study provides valuable insights into whether continued increases in government spending contribute to higher pollution levels. By identifying the threshold point of spending as a percentage of GDP, policymakers can make informed decisions to avoid the trade-off between increased spending and environmental degradation. For instance, the analysis reveals that Hawaii's tipping point is 16.40%. The empirical results underscore the importance of adopting sustainable policies that foster economic growth while minimizing environmental harm. These findings will aid policymakers in formulating targeted and efficient approaches to tackle climate change and promote long-term environmental sustainability in the United States. Moreover, the impact of tourism development on CO2 emissions varies across states, with some US states experiencing a decrease while others see an increase.

The construction of green finance and high-quality economic development under China's SDGs target.

The study of top economic growth with the goal of Sustainable Development Goals (SDGs) has become an important issue in the world, and scholars have analyzed high-quality economic development(HED) influencing factors from many perspectives, but there are few studies on green finance(GF) and high-quality economic development(HED). we examine the logical link between green financing and high-quality economic development, as well as the transmission mechanism behind this relationship. Using data from 30 Chinese regions from 2011 to 2021, our empirical study shows that green financing may improve high-quality economic development. Several robustness tests show that this association exists. Furthermore, our findings indicate that more robust government governance and market synergy may promote green finance for high-quality economic development. Green finance can enhance high-quality economic development by minimizing resource mismatch and encouraging green technology advancement. Simultaneously, green finance for high-quality economic development is significantly heterogeneous. Green credit and green insurance are important forms of support for promoting high-quality economic development, with significantly higher impacts in the eastern regions than in the central and western regions. Our research offers policymakers insights on encouraging green finance growth in China.

Non-linear effect of manufacturing on an environmental pollution index in Latin America.

Manufacturing is one of the primary sources of environmental pollution due to the emission of polluting gases and waste generation. This research aims to examine the manufacturing industry's effect on an environmental pollution index in nineteen Latin American countries using non-linear methods. The youth population, globalization, property rights, civil liberties, the unemployment gap, and government stability moderate the relationship between the two variables. The research has a temporal coverage between 1990 and 2017 and uses threshold regressions to verify the hypotheses. In order to obtain more specific inferences, we group countries according to the trade block and geographic region to which they belong. Our findings indicate that manufacturing has limited explanatory power for environmental pollution. This finding is supported by the fact that the manufacturing industry in the region is scarce. In addition, we find a threshold effect on the youth population, globalization, property rights, civil liberties, and government stability. Consequently, our results highlight the importance of institutional factors in designing and applying environmental mitigation mechanisms in developing regions.

Assessing the competitiveness of Indian solar power industry using the extended Five Forces Model: a green innovation perspective.

India's demand-supply imbalance electricity market results from the country's rapid population growth and extensive industrialization. Due to increased costs, many residential and commercial customers have difficulty paying their electric bills. Households with lower incomes are confronted with the most severe energy poverty in the entire country. A sustainable and alternative form of energy is required to solve these issues. Solar energy is a sustainable energy choice for India; however, the solar industry faces many issues. One of them is managing end-of-life cycle photovoltaic (PV) waste, as massive deployment of solar energy capacity has resulted in generating large amounts of PV waste, ultimately affecting environmental and human health. Therefore, this research employs "Porter's Five Forces Model" to analyze the factors that significantly impact the competitiveness of India's solar power industry. The inputs for this model consist of semi-structured interviews conducted with experts in the solar power industry on various solar energy-related issues and a critical analysis of the national policy framework using the relevant literature and official statistics. The impact of five significant stakeholders of the solar power industry on solar power generation in India is evaluated: buyers, suppliers, competitors, substitutes, and potential competitors. Research findings indicate the Indian solar power industry's current status, challenges, competition environment, and future estimates. This study will help the government and stakeholders to understand the intrinsic and extrinsic factors affecting the competitiveness of the Indian solar power sector and suggest policy recommendations to formulate procurement strategies that promote sustainable development within the solar industry.

Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries.

This study aims to demonstrate the impact of renewable energy consumption (REC) on environmental degradation using the EKC hypothesis testing for the BRIC and G-7 countries. Two EKC models were created and tested, with Model 2 including REC and other independent variables such as economic freedom (EF) and economic policy uncertainty (EPU), which affect the level of renewable energy consumption and CO2 emissions. Empirical findings indicate that the EKC hypothesis is verified faster in the REC-EF-EPU-based EKC model (Model 2) than in the EF-EPU-based EKC model (Model 1) for G-7 countries since the turning point takes place earlier in Model 2 than in Model 1 with REC. This suggests that renewable energy consumption accelerates the reduction of CO2 emissions. Moreover, this earlier turning point results in lower environmental cleaning costs, less time vesting, and saving resources and money for G-7 countries. However, the study found no evidence supporting the EKC hypothesis for the BRIC countries.

Is environmental sustainability transmissible? Transportation-based environmental taxation spillovers for sustainable development.

Environmental sustainability investigation has been a hotly debated topic of the modern literature; however, past studies have primarily overlooked its transmissibility or spillover outreach across economies. Herein, we investigate the novel aspect of whether transportation-based environmental taxation spatially induces spillover impacts across Italy, Germany, and France over the 1994-2020 period by employing a simultaneous spatial equation with multi-country dynamic stochastic general equilibrium modeling (DSGEM) framework. Transportation-based environmental taxation of the domestic economy negatively impacts its own investment and consumption, while it impacts the economy of neighboring economies positively. Change in output and investment in the domestic economy can be well explained by the environmental volatility of the domestic economy, whereas the environmental volatility of neighboring economies does not contribute much to explain the change in investment and output of the domestic economy. Volatility in pollution discharge occurs more by environmental volatility in the neighboring economy than in the domestic economy, and validating that environmental sustainability is transmissible across regions and economies. It urgently calls for environmental protection policies integrated and coordinated across the countries and regions to spread and capitalize on environmentally and economically favorable and sustainable effects globally. Achieving the spatially transmitted positive environmental and economic outcomes would help strengthen the Sustainable Development Goals (SDG), with a particular focus on Climate Action (SDG13), Sustainable Production and Consumption (SDG12), and Affordable and Sustainable Energy for All (SDG7).

Nexus between corporate social responsibility and firm performance: a green innovation and environmental sustainability paradigm.

Climate change concerns have become severe challenges in developing countries' sustainable development due to the immense usage of fossil fuels. The government has effectively employed green practices to solve these challenges in developing countries. This study explores how corporate social responsibility influences firm performance by analyzing the data collected from 650 respondents of manufacturing firms in a developing country, i.e., China. Structural equation modeling has been applied to analyze and investigate the proposed hypotheses. The results showed that corporate social responsibility does not directly affect the firm performance. In contrast, corporate social responsibility is positively related to green transformational leadership and green innovation, which improve firm performance. The results further indicated that green innovation and green transformational leadership significantly mediate the link between corporate social responsibility and firm performance. This study offers essential insights for managers and policymakers of manufacturing firms in managing corporate social responsibility, green innovation, and green transformational leadership when analyzing firm performance. It may aid general managers of major manufacturing firms in strengthening internal resources to improve the firm performance.

Are economic growth and environmental pollution a dilemma?

For the first time, this study introduces-proposes using the Armey curve hypothesis (ACH) for testing the environmental Kuznets curve hypothesis (EKCH) in the relevant literature. The rationale for this new proposed methodology is that both hypotheses are expected to have similar inverted U-shaped curves. Hence, we combine the aforementioned hypotheses to obtain a single composite model. This single model may allow us to calculate a maximum (optimum) level of government expenditures that will increase or decrease CO2 emissions for USMCA (the USA-Mexico-Canada Agreement) countries. To this end, our study employs an augmented mean group (AMG) estimator. The results demonstrate that the EKCH is verified by way of the AC model only for Mexico. Additionally, with the advantage of this approach, we calculated the optimal government spending level, which will increase both per capita real GDP (RGDPPC) and CO2 emissions in this country by around 26.4% of RGDPPC. This level of spending will be a kind of threshold point for the Mexican government's policymakers. Hence, they will know that if they continue to spend more than this level, both the RGDPPC and CO2 emissions will decrease, implying either a lower RGDPPC or a cleaner environment. The primary purpose of the proposed methodology in this study is to reveal the possible effects of the government's economic growth-oriented increased public expenditures on the environment in a single composite model. In other words, the relationship between economic growth and the environment is approached from the perspective of public spending, and it is reminded that governments should have harmonious and sustainable public spending policies for both economic growth and a cleaner environment.

Assessing thermo-physical products' efficiency in the building and construction industry: a bibliometric analysis approach.

This study aims to assess the performance of thermophysical materials in the construction and building industry to establish the necessary academic basis for the interpretation of trends, developments, and status in this research field. The Scopus database contains 159 papers on this topic, which were published between 1968 and 2021 and originated in 60 countries. The International Organization for Standardization published significant information on thermal insulating materials, merchandize, elements, and applications. Several forms of insulation currently exist: (i) solid-state foam insulation composed of fibers, grains, and matrix; (ii) liquid-state insulation that encloses humidity within the filling; and (iii) gasifier form, which incorporates air, steam, or alternative gases. To reduce the amount of energy demanded, thermal insulation materials must be extended, current solutions must be modified, and new materials must be developed. Because high-temperature thermal insulation materials have more complex working conditions than alternative materials, their application requires further consideration.

Do environmental knowledge and green trust matter for purchase intention of eco-friendly home appliances? An application of extended theory of planned behavior.

This study aims to identify the determinants of consumers' intentions to buy eco-friendly appliances for their households. This research scrutinizes the linkage between environmental knowledge (EK), consumer attitude (CAT), green trust (GT), and purchase intention (PI) in an emerging economy's context. This study analyzes survey data from 331 Pakistani consumers using energy-efficient household products. SEM is employed to assess the formulated hypotheses. Empirical findings suggest that EK positively and significantly influences CAT and green trust. Similarly, CAT has a negative and insignificant influence on PI. In contrast, green trust is significantly and positively related to PIs. The research outcomes further disclose that perceived consumer effectiveness (PCE) and perceived behavioral control (PBC) positively influence PI. The study extends the B2B sales literature and suggests future directions for academics and practitioners.

Addressing the effect of meteorological factors and agricultural subsidy on agricultural productivity in India: a roadmap toward environmental sustainability.

In the last two decades, the extensive literature that has measured agricultural productivity and growth rate remains controversial and provides few strategies about its main determinants. The present study aims to find out the key determinants of food grain yield (FGY) and examine the role of climate change and agricultural subsidy (SUB) in the context of India using annually data spanning from 1991 to 2018. The current study applied the ARDL modelling to investigate the impacts of climatic factors (average rainfall (RF), mean temperature (AT), and carbon emission (CO2) and agricultural subsidy (SUB) on food grain yield (FGY) in the short-and long-term in India. The estimated outcomes indicate that climatic factors such as RF have a positive impact while AT and CO2 have a negative effect on FGY. Similarly, non-climate variables such as gross capital formation (GCF) and fertilizer usage (FERT) positively contributed to FGY, while the area under crop (LUC), SUB, and employment (AL) negatively affected FGY in India. The results from Granger causality divulge that climatic and non-climatic elements are the main determinants of food grain yield, which have been playing play a significant role in enhancing food grain production and ensuring food security in India. Based on empirical outcomes and findings, some key policy implications emerged. Precisely, government and policy developers should focus on technological innovation and precision agriculture to increase agriculture production and productivity. Government should create funds to curb the climate change problem and promote eco-friendly renewable energy.

Globalization and renewable energy use: how are they contributing to upsurge the CO2 emissions? A global perspective.

The present study major aim was to examine the impact of globalization, economic growth, population growth, renewable energy usage and nuclear energy on CO2 emissions globally by taking the annual data varies from 1985 to 2020. Stationarity among study variables were tested via unit root testing, while nonlinear autoregressive distributed lag (NARDL) technique was used to demonstrate the linkages among variables with the estimation of long-run and short-run. Study results reveal that both in the short run and long run, negative globalization and economic growth shocks positively and negatively influence CO2 emissions, respectively. Besides, higher population growth is found to positively influence CO2 emissions while renewable energy consumption cannot influence the CO2 emission figures. Lastly, positive and negative shocks to alternative nuclear energy consumption are evidenced to negatively influence CO2 emissions both in the short run and long run. Hence, in line with these findings, several new policies and strategies are recommended for reducing carbon emissions globally.

Biocapacity convergence clubs in Latin America: an analysis of their determining factors using quantile regressions.

Latin America experiences an increasing urban primacy index and a rapid expansion of the financial system, putting direct pressure on the demand for resources to satisfy the consumption of large cities. We investigate the convergence of per capita biocapacity in 16 Latin America countries and evaluate the factors that influence its evolution over time. Specifically, we analyze the impact of the urban primacy index, economic progress, and the financial globalization index on the convergence of per capita biocapacity. We use the methodological framework developed by Phillips and Sul Econometrica 75:1771-1855, (2007) to analyze the convergence and the formation of convergence clubs of biocapacity during 1970-2017. The findings indicate that the countries of the region do not share a common trend of biocapacity, although they are grouped into five converging clubs. Biocapacity transition analysis reveals that countries have heterogeneous transition pathways between them. Using marginal effects, we find that the urban primacy index and economic progress reduce the biocapacity. The effect of the financial globalization index on biocapacity is not conclusive. The quantile regressions reveal that quantiles' impact of the urban primacy index and financial globalization on per capita biocapacity is heterogeneous. However, the effect of economic progress on biocapacity that predominates among quantiles is positive. The adoption of common policies among the countries that form the converging clubs could improve the effectiveness of pro-environmental policies and promote the achievement of the Sustainable Development Goals related to environmental quality.

Retesting the EKC hypothesis through transmission of the ARMEY curve model: an alternative composite model approach with theory and policy implications for NAFTA countries.

We investigate the validity of the environmental Kuznets curve (EKC) hypothesis for the NAFTA countries. In this investigation, we approach this hypothesis from a different methodology and propose employing the ARMEY curve hypothesis since the mathematical-functional propositions of both hypotheses were constructed on the same inverted U-shaped relationships. Thus, for the first time, it can be interpreted that the EKC hypothesis is empirically tested through a transmission mechanism of the ARMEY curve hypothesis in a single composite model. Therefore, this approach makes our study different from all empirical studies in the relevant literature. We apply the Augmented Mean Group (AMG) estimator to this aim. Empirical findings indicate that the ARMEY curve hypothesis was verified only for the USA. However, this new approach proposed in this study cannot test the EKC hypothesis through the ARMEY curve model for any NAFTA country since this approach requires verification of the ARMEY curve hypothesis and a significant composite model for the same NAFTA country. If our composite model was significant, it might make it possible to numerically determine a maximum real GDP per capita level that would minimize or maximize CO2 emission levels for the USA. Therefore, this study introduces-proposes this new methodology as an alternative way of testing the EKC hypothesis in the relevant literature for future empirical studies.