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This study reexamines the causal nexus among electricity consumption (EC) and economic growth (EG) for a panel of 31 countries in Latin America and the Caribbean between 1980 and 2021. We find that there are statistically significant feedback impacts among the research variables in the long run. A 1 percent augment in EC raises EG by 0.5 percent and a 1 percent augment in EG produces a 1.54 percent increase in EC which reflects the nature of the latter as a luxury good and implies a tradeoff between economy and environment, since although greater electrical infrastructure drives EG, the latter also increases the EC whose use in a non-responsible manner could lead to environmental degradation through higher CO2 emissions. Therefore, the main policy implication is that, it is necessary to promote EG based on infrastructure focused on sustainable development, ensuring the well-being of present and future generations.

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Abstract Objective: The objective of this paper is assessed the nexus among health status, economic growth, and the Gini index in North America and its countries using a panel model. Materials and Method: The materials consist of annual data regarding life expectancy, government health expenditure as percentage of the gross domestic product, Gini index, and gross domestic product at constant 2015 US$ for the period 2000-2019. The method applies a panel model for North America and its three countries: Canada, Mexico and The United States. North America diversity treatment among countries is dealt with fixed and random effects. Results: North America inhabitants health status are negatively influenced by an increasing income inequality, and a reduction on economic growth. The country that expends more in health care is The United States, follow by Canada and Mexico. The biggest reduction on life expectancy from an increase in income inequality is in The United States, followed by Canada and Mexico. Life expectancy increases when Canada and The United States experience economic growth. The countries with inarticulate health policy responses to an increase in income inequality are first Mexico followed by The United States. Conclusions: In North America and its countries an increasing income inequality reduces life expectancy, and government health expenditure. Economic growth benefits life expectancy and government health expenditure. Health status seems to improve with a reduction in income inequality and a greater public health expenditure. Therefore, policies that increases income inequality and reduces public health expenditure seems to be advocates of a reduction: in health status, population welfare and economic growth.

Resumen: Objetivo: Un análisis cuantitativo de las relaciones entre salud, crecimiento económico e índice de Gini en América del Norte y sus países se realiza mediante un modelo de panel. El estado de salud está representado por la esperanza de vida y los sistemas de salud pública por el gasto público en salud. El crecimiento económico es el cambio porcentual del producto interno bruto. La desigualdad de ingresos se representa con el índice de Gini. Materiales y método: Los materiales consisten en datos anuales de esperanza de vida, gasto público en salud como porcentaje del producto interno bruto, índice de Gini y producto interno bruto en dólares estadounidenses constantes de 2015 para el período 2000-2019. El método consiste en aplicar un modelo de panel para América del Norte y sus tres países: Canadá, México y Estados Unidos. El tratamiento de la diversidad entre los países de América del Norte es abordada con efectos fijos y aleatorios. Resultados: El estado de salud de los habitantes de América del Norte se ve influenciado negativamente por la creciente desigualdad de ingresos y la reducción del crecimiento económico. El país que más gasta en salud es los Estados Unidos, seguido de Canadá y México. La mayor reducción en la esperanza de vida debido a un aumento en la desigualdad de ingresos se encuentra en los Estados Unidos, seguido de Canadá y México. La esperanza de vida aumenta cuando Canadá y Estados Unidos experimentan crecimiento económico. Los países con respuestas de política de salud desarticuladas ante un aumento en la desigualdad de ingresos son primero México seguido de Estados Unidos. Conclusiones: Las políticas que aumentan la desigualdad de ingresos y reducen el gasto público en salud parecen ser promotoras de una reducción: en el estado de salud, el bienestar de la población, y el crecimiento económico.

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Introduction: The rapid advances in technology, market pressures, globalization, and, recently, the COVID-19 pandemic show the need to find educational models that respond to these realities while improving the employability levels of young people and promoting economic growth. This research analyzes how the professional formation model, where two learning spaces, the academy, and the company, are combined, promotes the closing of gaps and economic growth, through the development of intellectual capital that arises from this relationship, in an emerging economy such as Colombia. Methods: The methodology used corresponds to a qualitative approach, where the vision of the actors involved in the training process at the undergraduate level in Colombia is analyzed through semi-structured interviews, focus groups, and documentary analysis. Results and discussion: The results show five major elements to consider for the formation of the intellectual capital required for the success of the relationship and the reduction in the gaps between academia and business: decision-making mechanisms, inter-organizational coordination, knowledge.

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This study investigates the effect of financial development and economic growth on ecological footprint by including non-renewable energy consumption and trade openness as additional determinants. For this purpose, annual data of 10 countries with the highest ecological footprint (China, the USA, India, Japan, Brazil, Indonesia, Mexico, Korea, Turkey, and the UK) for the period 1992-2017 is used. The Westerlund and Edgerton (2007) Panel LM bootstrap test results reveal that there is cointegration between the variables. Additionally, the results obtained from the Common Correlated Effects (CCE) coefficient estimator show that financial development, economic growth, and non-renewable energy consumption negatively affect environmental quality by increasing ecological footprint. On other hand, the effect of trade openness on ecological footprint is found to be statistically insignificant. In addition, according to the panel causality test results, a unidirectional causality from financial development to ecological footprint is found while bidirectional causality between economic growth and ecological footprint exists. Therefore, it would be beneficial for policymakers in such countries to direct financial resources to green energy production and consumption and to encourage projects and practices.

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The Mexico, Indonesia, Nigeria, and Turkey (MINT) economies are recognized to be bedevilled with many obstacles hampering the economic expansion. In the meantime, many of these problems have not been comprehensively scrutinized in the context of the countries. In recent years, natural resources and tourism development have significantly increased in MINT economies. This study scrutinizes the relationship between natural resource rent, mobile use, foreign direct investment, international tourism, and economic growth in a balanced panel data of four MINT nations from 1971 to 2019. The key finding of this study shows that there is a positive and significant impact of foreign direct investment, natural resource rent, mobile use, and international tourism on MINT's economic growth. Furthermore, the tourism-led growth hypothesis is supported empirically in the case of MINT nations. Furthermore, the Granger causality analysis demonstrates that unidirectional causality is discovered from economic growth to tourism. The study recommends that MINT nations implement some practical tourism strategies to push up economic development, and in turn economic growth will positively contribute to the tourism sector.

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This study focuses on uncovering the effect of country risks and renewable energy consumption on environmental quality. In this context, the study examines Mexico, Indonesia, Nigeria, and Turkey (MINT) nations; takes economic growth, trade openness, and urbanization into account; includes data from 1990 to 2018; applies cross-sectional autoregressive distributed lag (CS-ARDL) as the main model while common correlated effects mean group (CCEMG) and augmented mean group (AMG) for robustness checks. The empirical results show that (i) economic growth, political risk, urbanization, and trade openness contribute to an increase in ecological footprint; (ii) economic and financial risks as well as renewable energy use have a positive influence on environmental quality; (iii) a unidirectional causality exists from economic risk, financial risk, political risk, economic growth, urbanization, and trade openness to the ecological footprint: (iv) the validity of the EKC hypothesis for the MINT economies is verified; (v) the robustness of CS-ARDL results are validated by CCEMG and AMG approaches. Based on these results, policymakers should promote a sustainable environment to lessen the ecological footprint. Additionally, governments should firmly support investments in green technology as well as economic and financial stability to boost energy efficiency and promote the adoption and usage of energy-saving products.

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In this paper, the effects of economic growth and four different types of energy consumption (oil, natural gas, hydroelectricity, and renewable energy) on environmental quality in terms of carbon dioxide (CO2) emissions were examined within the framework of the Environmental Kuznets Curve (EKC) for three Latin American countries, namely, Argentina, Brazil, and Chile, from 1975 to 2018. The autoregressive distributed lag (ARDL) in the form of Error Correction Mechanism (ECM) was used to verify the validity of the EKC hypothesis and the impacts of the variables in the short and the long run alike. Furthermore, the Toda-Yamamoto Granger causality test was carried out to identify the direction of causality between the variables. From ARDL-ECM estimation, the EKC was confirmed (inverted U-shaped curve between income growth and CO2 emissions) only in Argentina in the long run but not in Brazil and Chile. Based on the findings, renewable energy can have a great potential in reducing CO2 emissions in the future, but this advantage has not been fully exploited yet since a significant negative impact on CO2 emissions was only found in Chile. Also, the use of other less carbon-intensive energy sources such as natural gas and hydropower if they could be combined with renewable energy would be of great benefit and contribute to enhancing environmental quality and energy security in the short and the medium term and to successful low-carbon energy transition in the long run in Argentina, Brazil, and Chile.

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This paper surveys future managers' cognitive framings of interconnected concerns for economic growth, social prosperity, and the natural environment across six countries in Latin America, and elaborates on implications for sustainability management education. Our cluster analysis unveils three cognitive types. Our findings show that whereas some future managers exhibit a 'business case' cognitive frame, prioritizing economic growth over the environment, the other two clusters of participants show signs of cognitive dissonance with some of the tenets of the current growth paradigm while still not neatly fitting the definition of a paradoxical cognitive frame. In particular, individuals within the latter two groups do not visualize links among economic, social, and environmental dimensions that make up sustainable development. Following calls to enhance our understanding of sustainability micro-foundations, our study offers a more nuanced picture of the cognitive plurality beyond dichotomous characterizations of managerial cognitive frames as either business case or paradoxical. Moreover, results elucidate the cultural mediation that operates in the reproduction of business stances vis-à-vis nature, opening up possibilities for management education programs to engage with cognitive plurality to effect paradigmatic change. Supplementary Information: The online version contains supplementary material available at 10.1007/s10551-022-05180-4.

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Most emerging economies and the South American Countries are no exception to the negative consequences of trade-off between economic growth and environmental sustainability decisions. This study draws strength from the United Nations Sustainable Development Goals (UN-SDGs-7, 11, 12, and 13). Therefore, this study examines the environmental nexus between economic growth, globalization, renewable, and non-renewable energy, in South America from 1995 to 2020. We deployed the pooled mean group (PMG), mean group (MG), and dynamic fixed effects (DFE). Cross-sectional dependence, panel unit root, and cointegration tests were performed. Finally, we used the Dumitrescu and Hurlin test of causality to determine the long-run association between variables. The finding indicates that while environmental pollution increases with increasing economic growth, it decreases with increasing renewable energy both in the short and long term. Whereas economic globalization positively affects environmental pollution in the long term, social globalization and the moderation effect between political globalization and renewable energy improves environmental quality in the long run. Finally, a bidirectional causality was found between economic growth and environmental pollution, with a unidirectional causality running from economic, political, and social globalization, renewable, and non-renewable energy to environmental pollution. Given these findings, we discussed potential policy measures.

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In this paper, we examine the consequences of populist government for long-term economic growth and development. To this end, we estimate the long-term growth impact of the Juan Péron's political rule in Argentina, which led to a comprehensive overhaul of the institutional framework laid by the Argentine founding fathers in the 1853 Constitution. Our hypothesis is that the progressive substitution of a growth-enhancing institutional framework by exclusionary growth-distorting frameworks explains Argentina's economic decline from one the world's richest countries on the eve of World War I to an underdeveloped nation in the present day. We emphasize the erosion of the rule of law and restraint of economic freedom during Perón's first government (1943-1955) as two fundamental coadjutant causes of Argentina's decline. The populist legal reforms of Perón had long-lasting adverse economic effects. By comparing Argentina's pre-Péron growth trajectory with a donor pool of 58 countries for the period 1860-2015, we estimate the counterfactual scenario without Péron's reforms. A variety of synthetic control estimates uncover substantial negative effects of the weakening of the rule of law and the populist reforms that began in 1940s on the trajectory of economic growth and development. The populist overhaul negated the economic growth advantages inherent in the 1853 Alberdian constitution. Without the short-sighted populist Peron episodes, Argentina would be a rich country down to the present day with per capita income comparable to southern European countries. We also perform a series of randomization inferences and a battery of placebo analyses, which confirm our results. Supplementary Information: The online version contains supplementary material available at 10.1057/s41294-022-00193-4.

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As a region rich in natural resources and biodiversity, Latin America is particularly vulnerable to environmental crises. The ecological footprint (EF) of Latin America and the variables that affect it in the long run are examined through a panel data approach and causality, using a sample of 12 countries in the region over the period 1990 to 2014. The study uses human development instead of human capital, because the former considers health and standard of living in addition to schooling. Applying a recent methodology that contains tests and estimators for various specification problems including cross-sectional dependence, the study finds that economic growth and imports damage environmental quality while human development, renewable energy consumption and exports tend to mitigate the ecological footprint. Human development and imports have a unidirectional effect on the EF while there is feedback between economic growth, renewable energy consumption and the EF. Urbanization and financial development do not play a significant role, and the Environmental Kuznets Curve theory is not validated for the region. Policies are proposed for EF management to ensure sustainable development in Latin America.

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This paper attempts to model both static and dynamic dependence structures and measure impacts of energy consumptions (both renewable (EC) and non-renewable (REN) energies), economic globalization (GLO), and economic growth (GDP) on carbon dioxide (CO2) emissions in Argentina over the period 1970-2020. For analyses purpose, the current research deploys the novel static and dynamic copula-based ARIMA-fGARCH with different submodels. The static bivariate copula results show that the growth rates of the pairs EC-CO2 and GDP-CO2 are asymmetrically positive co-movements and have high left tail (extreme) dependencies, implying that the increase in non-renewable energy and economic growth can critically contribute to the environmental degradation, and the decrease in the consumption of non-renewable energy at a high level will consequently reduce the CO2 emissions at the same level. Based on several copula-based dependence measures, we document that between the two factors, the non-renewable energy has a stronger impact than the economic growth regarding the CO2 emissions. On the other hand, the growth rates of both economic globalization and renewable energy symmetrically negatively co-move with the growth rates of the CO2 emissions, but they have no extreme dependencies, indicating that these factors contribute to Argentina's environmental quality, in which the factor of renewable energy has a greater impact. Furthermore, the dynamic copula outcomes show that the (tail) dependencies of CO2 emissions on the non-renewable energy and economic growth are time-varying, while the pairs REN-CO2 and GLO-CO2 possess only dynamic dependencies, but no dynamic tail dependencies. Moreover, through the dynamic copula-based dependence, the environmental Kuznets curve (EKC) hypothesis can be estimated and illustrated explicitly. In addition, we leverage multivariate vine copulas for modelling dependence structures of the five variables simultaneously, which can reveal rich information regarding conditional associations among the relevant variables. Some policy implications are also provided to mitigate CO2 emissions.

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This paper analyzes the impact of international oil price uncertainty on the different economic sectors (primary, secondary, and tertiary) in Mexico in the period 1993:1-2020:4 through a bivariate structural vector autoregressive (VAR) model with a generalized autoregressive conditional heteroskedasticity (GARCH) in mean to capture the impact of oil volatility on economic growth at the sectoral level of economic activity. The results show that the uncertainty of the international price of oil has a differentiated effect on the different sectors of economic activity in Mexico since it does not influence the primary sector; it negatively impacts the secondary sector, and there is mixed evidence in the tertiary sector. Additionally, evidence is provided that both positive and negative shocks to the international oil price have asymmetric effects at the sectoral level in Mexico. The results highlight the need to implement public policies, at the country level, that help mitigate the effect of uncertainty in the oil market and promote economic stability at the sector level.

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This study uses a counterfactual analysis to investigate, from the Brazilian experience, the "perfect storm" resultant from the combination of economic policies on economic growth. Specifically, we analyze whether the combination of economic policies that neglect fiscal balance and low and stable inflation with the adoption of strategies to stimulate economic growth without considering the side effects on the economy harmed economic growth. Our findings, robust to several placebo tests, show Brazil's growth rate is approximately 2.8 pp below the "synthetic Brazil" growth rate. Furthermore, comprehending the great shocks in the period under investigation, the complementary empirical analysis supports the view that the "perfect storm" is the main factor explaining the underperformance of the Brazilian economic growth. Supplementary Information: The online version contains supplementary material available at 10.1007/s00181-021-02167-4.

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This study assesses the asymmetric impact of financial development, trade openness, and environmental degradation on economic growth in Venezuela between 1980 and 2019 using the nonlinear autoregressive distributed lag model. Findings from the bounds test indicate the presence of cointegration between the series in the model. Further findings from the study showed evidence of a significant negative long-run impact of negative shocks to financial development on long-run economic growth, thereby confirming that declining financial development hinders economic growth in Venezuela. Furthermore, positive and negative shocks of trade openness show a positive impact on economic growth in the long run. Meanwhile, in the short-run, negative shocks to financial development negatively impacts economic growth, while one year lagged negative shocks to financial development improve the short-run economic growth. More so, results from the long-run asymmetric test reveal that only financial development has a significant asymmetric effect on economic growth. However, errors to the system are adjusted at a speed of 38%. This study, thus, recommends the improvement of the financial sector and removing barriers to trade where possible, while adopting low carbon emissions for economic growth.

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In this paper, we use (Yilanci et al. 2020) Fourier autoregressive distributed lag (ARDL) model to study the correlation between health expenditures, CO2 emissions, and GDP fluctuations in BRICS countries from 2000 to 2019. The Fourier ARDL model has the function of bootstrap repeated simulation calculations, so that small samples can also achieve the advantages of finer inspection results. In this paper, we find that in the long term, Brazil and China are countries that both have cointegration relationships in health expenditure, CO2 emissions, and economic growth. With CO2 emissions as the dependent variable and health expenditure and economic growth as independent variables, in the short term, there is a negative causal relationship between India's CO2 emissions and health expenditure; other countries only show the relationship between CO2 emissions, health expenditure, or economic growth one-way relationship. This paper also has some policy suggestions on health expenditures and CO2 emissions in the BRICS countries at the end.

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This study assesses the impact of exchange rate volatility on economic growth using a panel of 194 countries for the period 1995-2019. We resort to dynamic panel data models considering the exchange rate volatility estimated based on GARCH models as an explanatory variable, along with some control variables such as the level of economic openness and financial development, investment, government spending, and the expected level of education. Countries are grouped according to the level of corruption of the governments. The estimates from both Difference and System Generalized Method of Moments are obtained. The results consistently show a significant negative effect of exchange rate volatility on economic growth, which diminishes as the financial system develops. An important finding is that the effect of volatility is lower in high-corruption countries, which could be because they are used to dealing with the economic instability associated with low levels of governance and incorporate it as part of their costs.

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In most nations across the world, the fundamental goal of economic policy is to achieve sustainable economic growth. Economic development, on the other hand, may have an influence on climate change and global warming, which are major worldwide concerns and problems. Thus, this research offers a new perceptive on the influence of renewable and nonrenewable energy consumption on CO2 emissions in Argentina utilizing data from the period between 1965 and 2019. The current research applied the wavelet tools to assess these interconnections. The outcomes of these analyses reveal that the association between the series evolves over both frequency and time. The current analysis uncovers notable wavelet coherence and significant lead and lag connections in the frequency domain, while in the time domain, contradictory correlations are indicated among the variables of interest. From an economic perspective, the outcomes of the wavelet analysis affirm that in the medium and long term, renewable energy consumption contributes to environmental sustainability. Furthermore, in the medium term, trade openness mitigates CO2, although in the long term, no significant connection was found. Moreover, both nonrenewable energy and economic growth contribute to environmental degradation in the short and long term. Finally, the frequency domain causality outcomes reveal that in the long term, economic growth, trade openness, and nonrenewable energy can predict CO2 emissions. The present analysis offers an innovative insight into the interconnection and comovement between CO2 and trade openness, renewable energy utilization, and GDP in the Argentinean economy. The findings from this research should be of interest to economists, researchers, and policymakers.

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The present study assesses the effect of public-private partnerships in energy and financial development on Brazil's ecological footprint and also takes into account the role of renewable energy and economic growth using data spanning from 1983 to 2017. The study utilized several techniques including autoregressive distributive lag (ARDL) and dynamic ordinary least square (DOLS) to examine the relationship between ecological footprint and the determinants, while the gradual shift causality test was utilized to capture the causal linkage between the series in the presence of a single structural break. The outcomes of the Maki co-integration test revealed evidence of a long-run association among the variables of interest. Furthermore, the results of the ARDL and DOLS tests revealed that economic growth and public and private investment in energy increase environmental degradation, while it is mitigated by both renewable energy and financial development. Moreover, the gradual shift causality test revealed a bidirectional causal linkage between ecological footprint and economic growth. The present study recommends the establishment of a forum that will foster public and private partnerships to enhance communication, which will promote collaboration on new initiatives involving green technological innovations.

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The COVID-19 pandemic has wreaked havoc worldwide, with profound economic, environmental, and social implications. Fears about the economic situation have called attention to freight transportation performance as a derivative economic development demand. It is critical to economic growth, especially in industrialized countries with a strong positive relationship to road transport. The empirical evidence in developing countries, such as Colombia, showed that economic growth has had linked to road freight transport regardless of comparisons with other economic sectors. Thie main objective of the paper is to assess the impact caused by the COVID-19 restrictions on freight transport by road to depict the challenge between freight transport performance and economic growth. The total freight transported in 2020 was predicted based on a time series analysis considering the system's performance. As a result, in 2020, the ton of freight transported became only 40% of the predicted freight in the most critical month. The analysis can help planners implement policies to improve freight transport behavior and react during future economic downturns. Events such as the COVID-19 pandemic demonstrate that freight transportation must be fast and flexible, is crucial to act in the short term, and consider the long-term recovery. In addition, cooperation among the various economic sectors' stakeholders must be necessary.