Towards sustainability path in Argentina: the role of finance, energy mix, and industrial value-added in low or high carbon emission-application of DARDL simulation

Comparing developed and emerging nations' Economic development with environmental footprint for low-carbon competitiveness

This study delves into the intricate relationship between economic growth and its ecological repercussions, employing a comprehensive assessment of ecological footprint across 131 nations. The time period considered for the research spans from 2009 to 2019. Utilizing the CS-ARDL methodology, the results indicate a correlation between reducing ecological footprint and bolstering private sector domestic credit. Additionally, a relationship between diminishing private sector domestic credit of banks and augmenting private sector domestic credit within the financial sector has been identified. In conjunction with other indicators of financial advancement, the significance of domestic lending to the private sector has been underscored. The study reveals a notable reduction in human population's adverse impact on the environment. However, increased levels of energy consumption, foreign direct investment and per capita GDP are associated with an improvement in global quality of life. Particularly noteworthy is the validation of the "pollution haven hypothesis" in the global economic context. The implications of this research are substantial; suggesting that global economic dynamics may support efforts towards environmental conservation. However, outcomes may vary across regions or countries, particularly regarding the emphasis placed by the financial sector on environmental preservation. This study comprehensively examines the complex nexus between economic progress and its ecological consequences, keeping in consideration factors such as financial growth, urbanization, energy consumption and Foreign Direct Investment (FDI).

How does Information and Communication Technology (ICT) industry agglomeration affect carbon emission efficiency? Evidence from China

The Information and Communication Technology (ICT) industry takes on critical significance in promoting economic development and reducing carbon emissions. From the agglomeration perspective, how the ICT industry agglomeration affects carbon emission efficiency (CEE) in 30 provinces in China from 2006 to 2020 is innovatively investigated. We measured CEE using a dynamic directional distance function-based DEA model. Then, based on the research hypotheses, the specific impact and transmission mechanism of ICT industrial agglomeration on CEE are revealed using a spatial Dubin model and a threshold panel model. The results show that: (1) the ICT industry agglomeration exerts a remarkable inverted "U-shaped" effect on CEE. This non-linear effect is significant in the eastern and central regions, but not in the western region. (2) ICT industry agglomeration can affect CEE in neighboring regions. The spatial spillover effect shows an inverted "U-shaped" in the central region, positive in the western region, and insignificant in the eastern region. (3) when green technology innovation exceeds the threshold value (4.948), ICT industry agglomeration positively affects CEE, and when energy structure exceeds the threshold value (0.389), their marginal effects are significantly negative. The threshold effect also shows regional heterogeneity. This research proposes policy recommendations focusing on accelerating the ICT industry transformation, leveraging the spillover and technological advantages of agglomeration, and enhancing regional cooperation.

Green technology, exports, and CO2 emissions in Malaysia

The pressing global effort to tackle CO2 emissions has brought about a strong emphasis on adopting green technology by economies striving for low-carbon development. Within this context, this research investigates the environmental significance of green technology and exports in Malaysia. By examining 30-year data from 1989 to 2019 and utilising the autoregressive distributed lag model (ARDL), this study explores these variables' long-run and short-run effects on Malaysia's environment. The outcomes reveal noteworthy insights: population growth and green technology negatively impact environmental degradation, whereas exports and economic expansion contribute to environmental depletion over the long term. However, the influences of a higher population and exports are inconsequential in the short term. Additionally, the study captures the influences of transient economic challenges, such as the COVID-19 outbreak. Consequently, the study emphasises crucial policy implications for the Malaysian government. Firstly, it strongly recommends increasing investment in sustainable technology, especially within the manufacturing sector, to mitigate the adverse environmental impact of exports. Furthermore, it suggests incentivizing companies to embrace green technology through subsidies for acquiring renewable energy and imposing higher taxes on non-renewable energy sources. Additionally, policymakers are urged to prioritise human capital development by raising public awareness about the dangers of heightened CO2 emissions. Malaysia can leverage its expertise to foster economic expansion without compromising the environment by engaging the working population in environmentally sustainable economic activities. These policy recommendations aim to expedite the shift towards a decarbonised economy, promote sustainable development, and safeguard Malaysia's natural resources.

How e-commerce support economic growth amid COVID-19: evidence from Chinese economy

The study's motivation develops from the need to comprehend how e-commerce affects economic resilience and recovery amid the COVID-19 crisis, particularly in the Chinese economy, and to provide empirical evidence to help stakeholders and policymakers understand how to use e-commerce for economic growth. This study aims to investigate how e-commerce supported economic expansion during the COVID-19 pandemic, particularly emphasizing the Chinese economy. Because of the rapid changes in consumer perceptions brought on by the COVID-19 epidemic, this study gives a thorough methodology for assessing the success of e-commerce businesses. The application's twenty-five secondary standards include two sustainability elements, sustainable development, and carbon dioxide emissions. Three Indian e-commerce companies serve as a case study to illustrate the assessment methodology. To capture the uncertainty in the judicial process, the findings are achieved via multi-criteria judgment (MCDM) technique called fuzzy VIKOR. In addition, quantitative research is used to rate and compare e-commerce businesses in terms of how well it meets the needs of their customers. The results break down the most crucial criterion and sub-criteria for online retailers to meet to meet consumer aspirations and remain profitable and environmentally responsible in the long run.

Exploring the nexus between energy consumption, income inequality and poverty, economic growth, and carbon dioxide emission: evidence from two step system generalized method of moments

The concern of environmental degradation, poverty, and income inequality remains a priority in achieving sustainable development goals. Countries are trying to reduce income inequality, alleviate poverty, and reduce environmental degradation which needs special attention. Consequently, this study explores the effect of income inequality, poverty, and energy consumption on carbon dioxide emission in the Belt and Road Initiative countries from 1996 to 2018. By employing the generalized method of moments, the findings show that income inequality, poverty, and energy consumption significantly increase carbon dioxide emission and lead to environmental degradation, while access to electricity significantly raises environmental quality. Economic growth positively affects carbon dioxide emission; however, the environmental Kuznets curve is valid. Income inequality exerts a moderating effect on carbon dioxide emission via per capita economic growth that reduces environmental degradation in the Belt and Road Initiative countries. The results of this study give important policy implications for the Belt and Road Initiative countries.

The nexus between natural resources, renewable energy consumption, economic growth, and carbon dioxide emission in BRI countries

This study investigates the nexus between natural resources, renewable energy consumption, economic growth, and carbon emission in 35 belt and road initiative (BRI) countries from 1985 to 2019. By employing OLS, fixed effect, generalized method of moments, and seemingly unrelated regression models, the results show that carbon dioxide and renewable energy are the driver factors of economic growth while natural resources reduce economic growth. The effect of economic growth and natural resources on carbon dioxide is positive; however, renewable energy consumption significantly reduces carbon emission. Economic growth rise renewable energy consumption while carbon dioxide and natural resources reduce it. The findings of this study have considerable policy implications for the belt and road countries that how natural resources and income inequality influence the interlinkage of renewable energy consumption, economic growth, and carbon dioxide emission.

Assessing the nexus between energy consumption, urbanization, and carbon dioxide emissions: does human capital matter?

This study is intended to add to the existing body of knowledge by examining the relationship between environmental pollution, human capital, energy use, and urbanization in 7 selected ASEAN (Association of South East Asian Nations) countries from 1990 to 2019. The cross-section augmented Dickey-Fuller and cross-section augmented Im, Pesaran, and Shin (CADF and CIPS) are applied based on the cross-sectional independence test results, and the feasible generalized least squares (FGLS) and the spatial correlation consistent standard error (PSCC) are employed for empirical results. The findings indicated that the variables have a positive long-run relationship. The human capital-energy consumption interaction contributed to environmental quality improvement. Thus, the study concludes that human capital is crucial in the energy-environment relationship. ASEAN nations are advised to adopt laws and treaties to provide a healthy environment that help to keep carbon dioxide emission as low as possible.

Military spending, financial development, and ecological footprint in a developing country: insights from bootstrap causality and Maki cointegration

Military spending is required for national sovereignty, but it comes at a cost. The ecological consequences of military activities remain insufficiently investigated, especially in developing countries, where military spending is on the rise due to terrorism and civil unrest created by different secessionists' groups. As such, this study has a maiden attempt to address this gap by exploring the effects of military spending on the ecological footprint (EF) using the bootstrap causality test and the Maki (2012) cointegration test under multiple structural breaks. The findings suggest that military spending increases the EF. Also, while energy consumption and economic growth degrade the environment, financial development enhances environmental wellbeing by reducing the ecological footprint. The causality results suggest a unidirectional causality from military spending to EF, while feedback causality exists between military spending and economic growth. The result of this study affirms the existence of destruction theory and also provides a better understanding of the links behind environmental degradation and is applicable for the design and implementation of environmental policies.

The role of financial development and institutional quality in environmental sustainability: panel data evidence from the BRI countries

The belt and road countries are mostly emerging and developing countries and heading to attain economic prosperity; however, this development process leads to ecological footprint. The factors of ecological footprint need to be identified and sound level of quality institutions might be helpful to overcome the issue of environmental degradation. Utilizing data from 1985 to 2019 of the belt and road initiative (BRI) countries, this study explores the effect of institutional quality indicators and financial development on carbon dioxide emission by including energy consumption and economic growth to the model. By using OLS, fixed effect, and two-step generalized method of moments, the results indicate that financial development, economic growth, and energy consumption increase carbon dioxide emission and degrade environmental quality. Three out of six institutional quality indicators that include government effectiveness, voice and accountability, and corruption control effect carbon dioxide emission positively, while the other three that include rule of law, regulatory quality, and political stability significantly rise environmental quality. The interaction terms of voice and accountability, government effectiveness, and political stability with financial development also give negative coefficients and reduce emission; however, the interaction of control of corruption with financial development is positive and the interaction of rule of law and regulatory quality with carbon dioxide is insignificant. The findings have considerable policy implication for the sample countries on each individual institutional quality indicator and financial institutions in rising environmental sustainability.

Do bureaucratic policy and socioeconomic factors moderate energy utilization effect of net zero target in the EU?

Based on the commitment to improve environmental quality across European Union under the United Nations' Sustainable Development Goals and varying national goals, this study investigates the dynamic linkages between bureaucracy, socioeconomic factors, conventional fossil fuel energy consumption vis-à-vis aggregate fossil and disaggregate fossil (oil, coal, and gas) fuels and environmental quality in the panel of selected 25-EU nations for the period 1990-2017. The study employs relevant second-generation empirical method and unearth the following results: (1) inverted environmental Kuznets curve was validated while fossil fuel consumption has a deteriorating impact on environmental performance due to its positive effect on carbon emission; (2) fossil fuel energy consumption (both aggregate and it components) exerts a dampening impact on environmental performance due to its positive effect on carbon emission; (3) that direct effect of bureaucracy and socioeconomic factors promote environmental quality but the degree or magnitude of influence is significantly different between bureaucratic system and socioeconomic factor, and (4) the moderating or indirect impact of bureaucracy, socioeconomic on the environment via fossil fuel energy consumption is observed and significantly different across the model specification. Moreover, the result reveals a unidirectional causal relationship flows from GDP per capita, bureaucracy and socioeconomic factors to carbon emission, while bi-directional relationships between oil, gas and carbon emission are established. In policy direction, the study therefore recommend that the European Union member countries should further explore the opportunities in clean energy development in order to ameliorate the continent's environmental concerns. Furthermore, in the quest to scale up the bloc's energy transition, significant improvement in the countries' bureaucracy establishment and socioeconomic conditions could hasten the energy transition and efficiency policy while improving the environmental sustainability drive.

Agriculture, globalization, and ecological footprint: the role of agriculture beyond the tipping point in the Philippines

This study is hinged on analyzing factors such as agriculture and globalization (de jure trade and financial) that threaten a sustainable environment using two proxies of ecological footprint: carbon and noncarbon ecological footprint in the Philippines while controlling for the influence of fossil to GDP, economic growth, urban population, and financial development using the autoregressive distributed lag (ARDL) framework. The result provides evidence of long-run stable state among the variables. The result validates inverted U-shaped pattern of EKC involving relationship between agricultural development and ecological footprint for the Philippines indicating that initially, ecological footprint increases as the agriculture develops and then declines as the agriculture matures to generate efficiency and low carbon. In addition, this study explores elasticities of the variables using ARDL, FMOLS, DOLS, and CCR procedure and found that de jure financial globalization exerts positive influence on ecological footprint in the long run. De jure trade globalization is found to be negative and significant in the long run. It is also found that agricultural level operates below the threshold level required to maximize the growth benefits of agricultural system towards mitigating environmental sustainability. Further empirical result shows a positive relationship between economic growth, fossil fuel, urban-population growth, and ecological footprint, and negative insignificant relationship between credit to private sector and ecological footprint. The government should optimize the use of agricultural land through well-articulated economic integration strategy fashioned to pave way for cleaner and low-carbon technologies sources like solar, geothermal, biomass, biogas, tidal power, photovoltaic, and wind energy in the agricultural production to avoid further deterioration of the environment.

Green investments, financial development, and environmental quality in Ghana: evidence from the novel dynamic ARDL simulations approach

Numerous studies have examined the influence of macroeconomic factors on environmental quality in Ghana. However, to the best of our knowledge, there has been no study on the connection between green investments, financial development, and environmental quality in the context of this Sub-Saharan African country. This study was therefore conducted to help fill this gap using annual frequency time series data ranging from 1970 to 2018. In attaining the objectives of this study, robust econometric techniques were employed. From the results, all the variables were first differenced stationary and cointegrated in the long run. The dynamic ARDL simulations technique with the support of the ARDL estimator was employed to examine the elastic effects of the predictors on the response variable, and from the discoveries, green investments improved environmental quality in Ghana both in the long and the short run via carbon dioxide mitigations. However, in both the long and the short run, financial development and energy utilization had a detrimental influence on environmental quality due to their positive influence on carbon dioxide emissions. Moreover, the N-shaped association between national income and environmental pollution was validated for Ghana. On the causal directions amidst the variables, there was no causality between green investments and environmental degradation was evidenced; however, a bidirectional causality between financial development and environmental pollution was also discovered. Also, unidirectional causalities running from national income and energy consumption to environmental degradation were discovered. Based on the findings, the study recommend that investments in green sources should be intensified to help improve environmental quality in Ghana. Furthermore, improving developments in the financial sector is a vital means through which the country could attain its sustainable development goals.

Sustainability challenges in Peru: embossing the role of economic integration and financial development-application of novel dynamic ARDL simulation

Inspired by the commitment to address the environmental challenges in Peru under the UN Sustainable Development Goals 13 (Climate Action) and its implications by 2030, therefore, this study investigates the combined role of economic globalization, financial development, and fossil fuel intensity consumption using a combination of dynamic ARDL counterfactual simulation and kernel-based regularized least squares within the context of Stochastic Impact by Regression on Population, Affluence and Technology over the period 1971-2017. This research output confirms the inverted-U-shaped hypothesis between economic growth and carbon emissions. In contrast, the kernel-based regularized least squares confirms the scale effect and fossil curse hypothesis in the relationship between financial development and carbon emission, and heterogeneous effects in economic integration and carbon emission. We further document that financial development, fossil fuel consumption, urban population, affluence (economic growth), and government final consumption expenditure spur environmental pollution while economic integration reduces it. This study recommends Peru to instill environmental justice through regulations and policies restricting inflows into an exploration of environmentally unsustainable projects within Peruvian metropolises or in the Peruvian Amazon. There is a need to revisit finance and investment laws and increase investment in low-carbon infrastructure within Peru.

Pathways to Argentina's 2050 carbon-neutrality agenda: the roles of renewable energy transition and trade globalization

The government of Argentina has recently declared its objective of turning the nation carbon-neutral by 2050. Thus, it is essential to identify the relevant factors which can facilitate the attainment of this environmental development target. Against this backdrop, this study aims to evaluate the impacts of renewable electricity output, trade globalization, economic growth, financial development, urbanization, and technological innovation on sectoral carbon dioxide emissions in Argentina during the 1971-2014 period. The findings, overall, suggest that enhancing renewable electricity output share in the total electricity output figure of the nation helps to curb carbon dioxide emissions generated from Argentina's energy, manufacturing and industry, residential and commercial buildings, and transportation sectors. Contrarily, greater trade globalization is evidenced to boost carbon dioxide emissions in almost all the aforementioned economic sectors. Besides, the findings also validate the existence of the carbon dioxide emission-induced environmental Kuznets curve hypothesis for all four sectors. In addition, financial development and urbanization are also evidenced to exert carbon dioxide emission-stimulating impacts, while technological innovation is witnessed to be necessary for curbing sector-based carbon dioxide emissions in Argentina. Accordingly, to decarbonize the economy, this study recommends the government of Argentina to adopt necessary policies for fostering renewable energy transition within the electricity sector, greening the trade globalization strategies, achieving environmentally sustainable economic growth, developing the financial sector by introducing green financial schemes, planning sustainable urbanization, and financing technological development-oriented projects.

Mitigating energy production-based carbon dioxide emissions in Argentina: the roles of renewable energy and economic globalization

The energy sector of Argentina is predominantly reliant on fossil fuels. Consequently, such fossil fuel dependency within the nation's power sector, in particular, has aggravated the environmental quality in Argentina by amplifying the nation's energy production-based carbon emission levels. However, keeping into consideration the international commitments pledged by Argentina under the Paris Accord and the Sustainable Development Goals agenda, it is pertinent for this South American country to curb its energy production-based emission of greenhouse gases, especially carbon dioxide. Against this milieu, this study examines the impacts of renewable electricity generation, economic globalization, economic growth, and urbanization on carbon dioxide emissions generated from the production of electricity and heat in the context of Argentina. Using annual frequency data from 1971 to 2016, recent econometric methods are applied to control for multiple structural breaks in the data. The major findings from the ecnometric analyses affirmed long-run associations between renewable electricity generation, economic globalization, economic growth, urbanization, and energy production-based carbon dioxide emissions in Argentina. Besides, enhancing renewable electricity output shares is found to curb these emissions while economic globalization and urbanization are witnessed to boost them. Moreover, renewable electricity generation and economic globalization are found to jointly reduce the energy production-related carbon dioxide emissions in Argentina. The results also validate the authenticity of the Environmental Kuznets Curve (EKC) hypothesis. Finally, the causality analysis reveals evidence of unidirectional causalities running from renewable electricity generation, economic globalization, economic growth, and urbanization to energy production-related carbon dioxide emissions in Argentina. In line with these findings, this study recommends several viable policies which can be implemented to help Argentina control the growth of its energy production-based carbon dioxide emissions.