Spatial analysis of ischemic stroke in Spain: the roles of accessibility to healthcare and economic development.

Ischemic stroke is a major cause of mortality worldwide; however, few studies have been conducted to measure the impact of the distribution of healthcare services on ischemic stroke fatality. This study aimed to explore the relationship between three ischemic stroke outcomes (incidence, mortality, and fatality) and accessibility to hospitals in Spain, considering its economic development. A cross-sectional ecological study was performed using data on hospital admissions and mortality due to ischemic stroke during 2016-2018. Gross geographic product (GGP) per capita was estimated and a healthcare accessibility index was created. A Besag-York-Mollié autoregressive spatial model was used to estimate the magnitude of association between ischemic stroke outcomes and economic development and healthcare accessibility. GGP per capita showed a geographical gradient from southwest to northeast in Spain. Mortality and case-fatality rates due to ischemic stroke were higher in the south of the country in both women and men aged 60+ years. In women and men aged 20-59 years a EUR 1,000 increase in GGP per capita was associated with decreases in mortality of 5% and 4%, respectively. Fatality decreased 3-4% with each EUR 1,000 increase of GGP per capita in both sexes and in the 20-59 and 60+ age groups. Decreased healthcare accessibility was associated with higher fatality in the population aged 60+. Economic development in southwest Spain would not only improve employment opportunities but also reduce ischemic stroke mortality. New health related strategies to improve hospital accessibility should be considered in more sparsely populated regions or those with worse transport and/or healthcare infrastructure.

Experiências no acesso e cuidado de populações vulnerabilizadas na atenção primária: Brasil, Chile, Colômbia e Peru / Experiences in access and care for vulnerable populations in primary care: Brazil, Chile, Colombia and Peru

Combater as desigualdades e iniquidades em saúde exige uma abordagem abrangente e colaborativa. Para tal, é necessário investir em sistemas universais de saúde, acessíveis e de qualidade, com foco na população vulnerabilizada. Políticas públicas efetivas devem ser implementadas para abordar as disparidades socioeconômicas, de gênero e étnicas, que afetam a saúde das pessoas. Nesse sentido, as Experiências Latino-americanas podem ser bem diferentes considerando a organização dos sistemas de saúde, mas que precisam ser conhecidas pensando nos desafios de desenvolvimento econômico e social no "Sul Global". Esta obra está organizada em três partes. A primeira é composta por três capítulos iniciais que trazem perspectivas de análise para o tema da desigualdade e das iniquidades em saúde na América Latina e o Caribe, a categoria "questão social" enquanto expressão das desigualdades e política social de saúde brasileira e o tema sobre as vulnerabilidades, a determinação social e a APS. Os capítulos visam contribuir para o debate mais conceitual, como pano de fundo para o livro. A segunda parte é composta por sete capítulos que abordam experiências do território nacional, e a terceira é formada por cinco capítulos que abordam experiências internacionais nos países de Chile, Colômbia e Perú. Esperamos que esta obra se constitua como um recurso educativo para pesquisadores, profissionais de saúde, gestores e formuladores de políticas, promovendo reflexões coletivas, críticas e profundas sobre o que é e o que deveria ser a APS no contexto sociopolítico latino-americano e caribenho de hoje e como poderia contribuir para reduzir disparidades e iniquidades em saúde.

On the role of government spending, trade openness and terms of trade in Iran's agricultural growth.

Agriculture is recognized as the driving force of economic growth, especially in developing economies. It plays a crucial role in Iran's economy especially during economic sanctions as it is a source of income for rural people, food security, job creation, and foreign exchange earnings. The present study investigates the impact of government spending, trade openness, and terms of trade on agricultural growth in Iran using annual data for the period 1978-2021 by application of the nonlinear autoregressive distributed lag model (NARDL). The results confirmed asymmetry in the impact of all three variables of interest on agricultural growth. In other words, the superiority of the nonlinear specification in explaining the relationships between variables was confirmed. To be specific, a positive and negative shock to government spending affects sector growth by 0.18 and -0.05 percent, respectively in the long run. The same finding was found for trade openness with 0.22 and -0.11 impact coefficients for positive and negative shocks, respectively. Moreover, we could not find significant impact for terms of trade.

Paisagens, caminhadas e lazer: uma abordagem sistêmica do desenvolvimento turístico em Linha Nova/RS / Landscapes, walking and leisure: a systemic approach of tourism development in Linha Nova/RS

O objetivo deste estudo é compreender as correlações e interações entre a paisagem, caminhadas de lazer e o contexto sistêmico de desenvolvimento turístico na cidade de Linha Nova, Rio Grande do Sul. O estudo de natureza aplicada tem abordagem qualitativa. Quanto aos procedimentos, caracteriza-se como um estudo de caso do município de Linha Nova. Foram entrevistados seis organizadores de caminhadas e disponibilizado um questionário online para pessoas que praticam caminhadas de lazer, totalizando 40 participantes. As respostas indicaram dois temas: a) A natureza como principal atrativo; b) Desenvolvimento econômico e turístico através das caminhadas. Os resultados demonstraram que existe uma relação positiva entre eventos de caminhada e o desenvolvimento da cadeia produtiva do turismo, além de uma percepção de "paisagem" associada à natureza, espaços naturais e cenários panorâmicos.

The objective of this study is to understand the correlations and interactions between the landscape, leisure walks and the systemic context of tourist development in the city of Linha Nova, Rio Grande do Sul. The study of an applied nature has aqualitative approach. As for the procedures, it is characterized as a case study of the municipality of Linha Nova. Six walk organizers were interviewed,and an online questionnaire was made available to people who take leisure walks, totaling 40 participants. The responses indicated two themes: a) Nature as the main attraction; b) Economic and tourist development through hiking. The results demonstrated that there is a positive relationship between walking events and the development of the tourism production chain, in addition to a perception of "landscape" associated with nature, natural spaces and panoramic scenarios.

[Homicides in southern South American cities: educational inequalities and economic fluctuations]. / Homicidios en ciudades del sur de Sudamérica: desigualdades educativas y fluctuaciones económicas.

Information on how economic fluctuations affect educational inequalities in homicides in Latin America is scarce. This study aimed to: (a) analyze the temporal variations of educational inequalities related to homicide mortality and (b) compare these inequalities between years of economic growth and recession in southern South America cities from 2000 to 2019. Data from seven urban areas in three countries in the Southern Cone of South America were used: Mendoza and Rosario (Argentina); Belo Horizonte, Curitiba, Rio de Janeiro, and São Paulo (Brazil); and Santiago (Chile). Poisson models were estimated by using age, sex, city of residence, year of economic growth or recession, and schooling level as explanatory variables. Results showed significant differences in the temporal evolution of homicide rates in the seven cities, although populations with a low schooling level always showed the most vulnerability. The four Brazilian cities, analyzed together, showed greater educational inequalities related to homicides in years of economic recession when compared to those of economic growth. On the one hand, the indiscriminate use of force by the State against criminal groups seems to increase social inequality in homicide mortality. On the other hand, criminal fragmentation and economic crisis can exacerbate these inequalities by increasing territorial disputes between criminal groups.

Se sabe poco sobre cómo las fluctuaciones económicas afectan las desigualdades educativas en homicidios en países latinoamericanos. Los objetivos de este estudio fueron (a) analizar las variaciones temporales de las desigualdades relativas educacionales de la mortalidad por homicidio, y (b) comparar estas desigualdades entre años de crecimiento económico y años de recesión en ciudades del sur sudamericano durante el período 2000-2019. Se utilizaron datos de siete áreas urbanas, en tres países del Cono Sur Sudamericano: Mendoza y Rosario (Argentina); Belo Horizonte, Curitiba, Rio de Janeiro y São Paulo (Brasil); y Santiago (Chile). Se estimaron modelos de Poisson, utilizando como variables explicativas la edad, sexo, año, ciudad de residencia, año de expansión o recesión económica y nivel educativo. Encontramos diferencias marcadas en la evolución temporal de las tasas de homicidio entre las siete ciudades, aunque siempre las poblaciones de nivel educativo bajo fueron las más vulnerables. Las cuatro ciudades de Brasil, analizadas en conjunto, tuvieron desigualdades educativas relativas de homicidios mayores en años de recesión económica, con respecto a años de crecimiento económico. Por un lado, el uso de la fuerza indiscriminado por parte del Estado enfocado hacia grupos criminales parece haber llevado a una creciente desigualdad social de la mortalidad por homicidio. Por el otro, en un contexto de fragmentación criminal y crisis económica se podrían agravar estas desigualdades a través de mayores disputas territoriales entre grupos criminales.

São escassas as informações sobre como as flutuações econômicas afetam as desigualdades educacionais em homicídios na América Latina. Os objetivos deste estudo foram: (a) analisar as variações temporais das desigualdades educacionais relacionadas à mortalidade por homicídio, e (b) comparar essas desigualdades entre os anos de crescimento econômico e os anos de recessão nas cidades do sul da América do Sul no período de 2000 a 2019. Foram utilizados dados de sete áreas urbanas, em três países do Cone Sul da América do Sul: Mendoza e Rosário (Argentina); Belo Horizonte, Curitiba, Rio de Janeiro e São Paulo (Brasil); e Santiago (Chile). Os modelos de Poisson foram estimados utilizando como variáveis explicativas a idade, sexo, ano, cidade de residência, ano de expansão ou recessão econômica e nível de escolaridade. Os resultados mostraram diferenças significativas na evolução temporal das taxas de homicídio entre as sete cidades, apesar de que as populações com baixo nível de escolaridade sempre foram as mais vulneráveis. As quatro cidades brasileiras, analisadas em conjunto, apresentaram maiores desigualdades educacionais relacionadas a homicídios em anos de recessão econômica em relação aos anos de crescimento econômico. Por um lado, o uso indiscriminado da força pelo Estado contra grupos criminosos parece ter levado ao aumento da desigualdade social na mortalidade por homicídio. Por outro lado, em um contexto de fragmentação criminal e crise econômica, essas desigualdades podem ser exacerbadas pelo aumento das disputas territoriais entre grupos criminosos.

How does external debt and governance quality impact renewable energy consumption: novel policy insights from BRICS countries.

Amidst global environmental reforms, the role of energy systems is under scrutiny to promote ecological welfare through low-carbon alternatives. Amongst the solutions, the role of renewable energy as a clean source has become popular to mitigate climate change. However, the impact of debt on renewable energy consumption remains limited in the economic literature. The debt initiatives provide funding for environmental initiatives primarily, while it is also credited as a barrier to limiting the growth of clean energy programs. Within such discussion, the current study extended the dialogue by examining how external debt impacts energy transition in Brazil, Russia, India, China, and South Africa (BRICS) economies in the presence of institutional quality, education expenditures, and banking development. Using the novel CS-ARDL, AMG, and CCEMG tests, the study results showed that external debt decreases renewable energy consumption, while institutional quality, educational expenditures, banking developments, and economic growth are essential elements of green energy developments. Based on these conclusions, this study provides novel policy guidelines to align BRICS energy and economic agendas.

Coal consumption and carbon emission reductions in BRICS countries.

The primary energy consumption structure of BRICS countries is dominated by fossil energy, particularly coal. Coal consumption in BRICS countries is a major driver underlying increased carbon emissions. Therefore, this study developed a spatiotemporal decoupling mode and incorporated factors related to coal consumption-induced carbon emissions into a spatiotemporal decoupling analysis method to provide differentiated and targeted policies for energy restructuring and emission reduction targets in BRICS countries. Moreover, a temporal-spatial decomposition logarithmic mean Divisia index model was developed using the spatiotemporal decoupling index method. The model is based on CO2 emissions generated by coal consumption in BRICS countries, with a primary focus on data from Brazil, Russia, South Africa, India, and China. The findings reveal distinct spatiotemporal distributions and driving effects of coal consumption and carbon dioxide emissions across various countries. Factors such as CO2 emission intensity, coal consumption intensity, economic output per capita, and population structure exerted either positive or negative effects on the distributional effect of the carbon emission-economic output per capita association in BRICS countries. Additionally, country-level heterogeneity in the influence of the distributional effects of CO2 emissions was observed within each BRICS country. Thus, different policies are needed to achieve carbon emission reduction targets in different countries.

A decision support procedure for the bioeconomy transition: A Colombian case study.

An increasing number of countries and regions consider the bioeconomy transition a strategic policy priority. When approached through the lens of a circular economy perspective, investments in bioeconomy have the potential to enhance resource utilisation efficiency, preserve biodiversity and ecosystems, and foster sustainable development with low emissions. At the same time, if requirements and contextual factors of bioeconomy strategies are not formally analysed, bioeconomic investments might lead to unintended negative consequences. This paper proposes a decision support procedure to design, assess, prioritise, and monitor bioeconomy investments and policies. The flexibility and scalability of our decision support procedure is tested in Colombia to foster a regional and local transition to bioeconomy initiatives that consider the local capital assets and the stakeholders' views. The heterogeneous character of the Colombian environment, economy, society and culture represents an ideal condition to test the strength of the decision support procedure to promote bioeconomy in low and middle-income countries. Our empirical results highlight the benefit of adopting a formal assessment framework that includes strategic national indicators, regional features and stakeholders' views. In terms of the Colombian regional bioeconomy ambitions, we highlight the need for expanding knowledge hubs and participatory stakeholder networks and buttressing appropriate financial mechanisms.

Contemporary slave labor and subjectivity: psychosocial perspectives on the enslaved's narratives / Trabalho escravo contemporâneo e subjetividade: considerações psicossociais sobre narrativas de escravizado(a)s / Trabajo esclavo contemporáneo y subjetividad: consideraciones psicosociales sobre narrativas de personas esclavizadas

This study addresses the relation between subjectivity and contemporary enslaved labor from the enslaved workers' narratives in Brazil. A qualitative social research was carried out based on a constructionist perspective. We sought interaction with rescued workers and used (a) participant observation of workers' routine in an institutional project that supports them and a field diary, (b) semi-structured and open individual interviews with workers and a member of the team project. The fieldwork lasted a year and a half and the analysis followed Content Analysis. Freudian theory and Foucault's thought were used for interpretation, which managed to understand aspects of workers' experiences, exploitation characteristics, parental abandonment, as well as the tensions in self-classification as enslaved. The narratives pointed to a dramatic reality manifested in body exploitation, authoritarian abuses, violence, and negligence. At the same time, these narratives showed forms of worker resistance that calls for further investigations to increase knowledge on the subjective experiences of those who were enslaved.(AU)

O artigo aborda as relações entre subjetividade e trabalho escravo contemporâneo a partir da narrativa de trabalhadores(as) escravazados(as). Foi realizada uma pesquisa social qualitativa em uma perspectiva construcionista. Buscamos a interação com trabalhadores resgatados e realizamos a observação participante da rotina de trabalhadores atendidos em um projeto institucional, com diário de campo, e entrevistas individuais (semiestruturadas e abertas) com trabalhadores(as) e equipe do projeto institucional. O trabalho de campo durou um ano e meio, e a pesquisa foi realizada com o suporte da Análise de Conteúdo. Para a interpretação utilizamos aportes da teoria freudiana e do pensamento de Foucault, com os quais foi possível compreender aspectos das vivências dos trabalhadores, características da exploração, abandonos parentais e tensões em torno da autoclassificação como "escravo". As narrativas apontaram uma realidade dramática manifesta na exploração do corpo, em abusos autoritários, na violência e negligência. Ao mesmo tempo, as narrativas evidenciaram formas de resistência dos trabalhadores que convocam mais investigações para adensar o conhecimento sobre as experiências subjetivas desses que estão num lugar de escravizado(a).(AU)

Este artículo aborda la relación entre la subjetividad y el trabajo esclavo contemporáneo desde la narrativa de trabajadores esclavizados. Se realizó una investigación social cualitativa desde una perspectiva construccionista. Buscamos la interacción con los trabajadores liberados y utilizamos la observación participante de la rutina de los trabajadores atendidos en un proyecto institucional, diario de campo y entrevistas individuales (semiestructuradas y abiertas) con trabajadores y miembros del equipo del proyecto institucional. El trabajo de campo duró un año y medio, y se utilizó como apoyo el análisis de contenido. Para la interpretación se utilizaron aportes de la teoría freudiana y el pensamiento de Foucault, con lo que fue posible comprender aspectos de las vivencias de los trabajadores, características del escenario de explotación, abandono parental y las tensiones relacionadas con la autoclasificación "esclavo". Las narrativas apuntan a una realidad dramática manifestada en la explotación del cuerpo, abuso autoritario, violencia y abandono. Al mismo tiempo, evidenciaron formas de resistencia por parte de los trabajadores, que reclaman más investigaciones para profundizar en el conocimiento sobre las vivencias subjetivas de quienes se encuentran en esclavitud.(AU)

A descaracterização da política de financiamento da CT& I: uma análise do FNDCT / La descaracterización de la política de financiación de CT& I: un análisis del FNDCT / The mischaracterization of the ST& I funding policy: an analysis of the Brazilian Fund for the Development of Science and Technology

Resumo Este estudo tem como objetivo analisar criticamente os mecanismos que desidratam o Fundo Nacional de Desenvolvimento Científico e Tecnológico (FNDCT), debilitando-o na sua função de promover o desenvolvimento econômico e social. Os dados foram extraídos das bases do sistema integrado de orçamento e planejamento (SIOP) e do relatório de execução orçamentária, entre 2012 e 2021, disponibilizados pela financiadora de estudos e projetos (FINEP). Os resultados da investigação apontam que, do ponto de vista quantitativo, há um processo de desidratação, por mecanismos como a desvinculação de receitas da união (DRU), a formulação do projeto de lei orçamentária anual (PLOA) e as reservas de contingência. Do lado qualitativo, há descompasso entre a promessa de uma política arrojada e inovadora e uma estrutura de governança centralizada e burocrática. Os fundos setoriais não enfrentam problemas de arrecadação, mas a gestão centralizada e subserviente a políticas fiscais de austeridade leva a uma execução orçamentária quantitativamente insuficiente e qualitativamente pobre em diversificação, quadro que descaracteriza a política de financiamento de ciência, tecnologia e inovação (CT&I), deixando de cumprir a promessa de desenvolvimento via inovação.

Resumen Este estudio tiene como objetivo analizar críticamente los mecanismos que deshidratan el fondo nacional de desarrollo científico y tecnológico (FNDCT), debilitándolo en su función de promover el desarrollo económico y social. Los datos fueron extraídos de las bases del sistema integrado de planificación y presupuesto y del informe de ejecución presupuestaria entre 2012 y 2021, puestos a disposición por la financiadora de estudios y proyectos. Los resultados de la investigación indican que, desde el punto de vista cuantitativo, existe un proceso de deshidratación, a través de mecanismos como la Desvinculación de Ingresos de la Unión Federal, la formulación del proyecto de ley presupuestaria anual y las reservas de contingencia. En el aspecto cualitativo, existe un desajuste entre la promesa de una política audaz e innovadora y una estructura de gobierno centralizada y burocrática. Los fondos sectoriales no enfrentan, en promedio, problemas de recaudación, pero la gestión centralizada supeditada a políticas fiscales de austeridad conduce a una ejecución presupuestaria cuantitativamente insuficiente y cualitativamente pobre en términos de diversificación, situación que descaracteriza la política de financiamiento para la ciencia, tecnología e innovación (CT&I), incumpliendo con la promesa de desarrollo a través de la innovación.

Abstract This study aims to critically analyze the mechanisms that depletethe Brazilian fund for the development of science and technology (FNDCT), jeopardizing its ability to promote economic and social development. Data were extracted from the integrated budget and planning system (SIOP) bases and the budget execution report between 2012 and 2021, made available by the Brazilian funding agency FINEP. The quantitative results indicate a process of "dehydration" due to changes such as the regulation that allows the executive to redirect resources previously earmarked for the fund (called DRU), the formulation of the legislation on the annual budget (PLOA) and the contingency reserves. The qualitative analysis shows a mismatch between the promise of a bold and innovative science and technology policy and a centralized and bureaucratic governance structure. Sectoral funds do not face, on average, problems in raising resources. However, the centralized management subservient to fiscal austerity policies leads to quantitative insufficient budget execution and qualitatively poor diversification. As outcomes, this situation mischaracterizes the ST&I funding policy, failing to comply with the promise of development through innovation.

Mexico: Determinants of the real exchange rate, 2001.01-2022.12.

We estimate the determinants (terms of trade, tradable to non-tradable price differentials, interest rate differentials, forward exchange rate and risk premium) of the Mexican bilateral real exchange rate (q) for the short and long run by using an Autoregressive Distributed Lag model (ARDL, Pesaran and Shin et al. (2001)) for Mexico (2001.01-2022.12). The inclusion of commercial and financial variables and finding empirical evidence of cointegration only for 2009.01-2022.12 are the main contributions. Our results indicate no cointegrating relationship either for the entire sample, or for 2001.01-2008.12. This finding has to do with the increasing international financialization process, after the 2008-2009 Great Financial Crisis. Using a double log model we find that: a) there is a strong short-run autoregressive effect of q of up to 4 lags (0.75), b) that the Balassa-Samuelson Effect is the largest in the model (-0.27 and -1.11 for short and long terms), c) the next most important factor is the terms of trade (-0.126 and -0.51, respectively), d) there are considerable, although lesser, effects of financial variables: forward exchange rate (0.0155 and 0.063, respectively) and risk-premium (0.009 and 0.036, respectively), e) there is a clear long-term trend of real depreciation expressed by the trend of 0.0020, which suggests that the PPP hypothesis applies.

Analysis of spatial differences in global regional human development index under planetary pressure and decomposition study of driving factors.

To urge nations worldwide to implement robust measures for enhancing human development and mitigating the pressures exerted on the planet by human activities in pursuit of sustainable development, this study encompasses 154 countries globally, using the seven major regions as focal points. Leveraging the Planetary Pressure Adjusted Human Development Index (PHDI) proposed by the United Nations Development Programme on December 15, 2020, as a metric for human development levels, this paper aims to standardize and internationally compare human development data from 1990 to 2021. Subsequently, employing the Theil index, the study assesses the global human development status across the seven regions to analyze spatial disparities in PHDI. Lastly, a comprehensive Generalized Diese Index Method (GDIM) is constructed to accurately reflect absolute and latent factors, dissecting the driving forces impacting global PHDI. The study explores critical pathways for high-quality human development within the harmonious coexistence between humanity and nature. It validates the robustness of GDIM results through a stepwise regression. Research findings indicate varying levels of PHDI development across regions, with a distinct spatial hierarchy evolving: higher human development levels in Europe and Eastern Europe, favorable levels in North and South America, similar levels in Oceania and Asia, and significant improvement potential in Africa. As globalization progresses, overall differences in PHDI gradually decrease; however, disparities persist between and within regions. Economic, technological, and per capita welfare effects consistently positively drive PHDI. In contrast, environmental pressure effects, social effects, per capita value-added effects, and output carbon intensity effects consistently exert hostile driving forces. Population size effects on PHDI show a fluctuating trend. Moreover, in terms of cumulative contribution values, the top three contributors to driving forces are economic, technological, and per capita welfare effects.

Short-term power load forecasting based on the CEEMDAN-TCN-ESN model.

Ensuring an adequate electric power supply while minimizing redundant generation is the main objective of power load forecasting, as this is essential for the power system to operate efficiently. Therefore, accurate power load forecasting is of great significance to save social resources and promote economic development. In the current study, a hybrid CEEMDAN-TCN-ESN forecasting model based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and higher-frequency and lower-frequency component reconstruction is proposed for short-term load forecasting research. In this paper, we select the historical national electricity load data of Panama as the research subject and make hourly forecasts of its electricity load data. The results show that the RMSE and MAE predicted by the CEEMDAN-TCN-ESN model on this dataset are 15.081 and 10.944, respectively, and R2 is 0.994. Compared to the second-best model (CEEMDAN-TCN), the RMSE is reduced by 9.52%, and the MAE is reduced by 17.39%. The hybrid model proposed in this paper effectively extracts the complex features of short-term power load data and successfully merges subseries according to certain similar features. It learns the complex and varying features of higher-frequency series and the obvious regularity of the lower-frequency-trend series well, which could be applicable to real-world short-term power load forecasting work.

Achieving sustainable environment through infrastructure and energy structure developments: empirical evidence from BRICS.

The development of an environment that is sustainable requires infrastructure matching this goal. Moreover, it is almost impossible to achieve this goal without the requisite energy structure. Devising an energy structure that is both effective and efficient must precede the desired infrastructure to achieve sustainability goals. Therefore, it is important to look into the nexus of energy structure, infrastructure, and carbon emissions in "Brazil, Russia, India, China, and South Africa (BRICS)" countries under the growth and environment hypothesis. To empirically estimate the said nexus, robust econometric techniques are adopted. This paper employs panel data analysis techniques to investigate the relationship between infrastructure, energy consumption, and carbon emissions in the BRICS countries. The econometric estimation methodology includes a cross-sectional dependence test, unit root attribute of the panel data using the cross-sectionally augmented Im Pesaran and Shin (CIPS) test, and estimation of co-integration among the variables, and to address the issues in the panel data, augmented mean group (AMG) technique and common correlated effects mean group (CCEMG) estimator were employed. Findings suggest the existence of a supportive role of infrastructure and energy structure in abating carbon emissions. It is suggested that the BRICS economies need to enhance their investment in infrastructure and energy structure for them to create a sustainable environment. Findings are also robust to short- and long-run policy implications. This study is a step forward toward the Sustainable Development Goals (SDGs).

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.

Dynamic relationship between green finance, environmental taxes, and CO2 emissions in transition toward circular economy: what causes what?

The study was aimed at investigating the dynamic relationship between environmental taxes, green financing, and carbon dioxide (CO2) emissions in Brazil, China, India, and South Africa from 1994 to 2019. To thoroughly examine the proposed relationship, a family of robust econometric methods is used to get reliable and accurate results. Our evidence indicates that green finance and CO2 emissions are negatively connected with each other. Similarly, positive relationship is found between environmental taxes and CO2 emissions. Additionally, environmental taxes and green finance are positively related as well. Further, the results of the Method of Moments Quantile Regression estimator indicate that green finance and CO2 emissions decrease in countries with higher pollution compared to those with lower pollution. Interestingly, environmental taxes only contribute to pollution in countries with higher emissions, whereas CO2 emissions increase environmental taxes in all sample countries. Lastly, green finance has a mitigating effect only in countries with greater pollution, and CO2 emissions have a negative rebound effect on green finance in countries with greater CO2 emissions. According to the evidence, green financing can be an effective tool for promoting environmental quality. By allocating the funds collected from environmental taxes to green financing, environmental sustainability can be promoted in sample countries.

Analysis of spatial correlation networks of carbon emissions in emerging economies.

Studies have shown that energy consumption from economic development leads to an increase in carbon emissions. Emerging economies, as important sources of carbon emissions with high growth potential, play a crucial role in global decarbonisation efforts. However, the spatial pattern and evolution trend of carbon emissions in emerging economies have not been studied in depth. Therefore, this paper uses the improved gravitational model and carbon emission data from 2000 to 2018 to construct a spatial correlation network of carbon emissions in 30 emerging economies around the world, aiming to reveal the spatial characteristics and influencing factors of carbon emissions at the national level. The results show that the spatial network structure of carbon emissions in emerging economies is closely linked, forming a "big network" of interconnection. Amongst them, Argentina, Brazil, Russia, Estonia, etc. are at the centre of the network and play a leading role. Geographical distance, economic development level, population density, and scientific and technological level have a significant impact on the formation of spatial correlation between carbon emissions. Further use of GeoDetector shows that the explanatory power of two-factor interaction on centrality is greater than that of a single factor, indicating that a single economic development cannot well enhance the influence of countries in the carbon emission network, and needs to be combined with factors such as industrial structure and scientific and technological level. These results are helpful to understand the correlation between carbon emissions between countries from the perspective of the whole and part and provide a reference for optimizing the carbon emission network structure in the future.

Role of geopolitical risk, currency fluctuation, and economic policy on tourist arrivals: temporal analysis of BRICS economies.

The tourism industry is vulnerable to a range of economic and political factors, which can have both short-term and long-term impacts on tourist arrivals. The study aims to investigate the temporal dynamics of these factors and their impact on tourist arrivals. The method employed is a panel data regression analysis, using data from BRICS economies over a period of 1980-2020. The dependent variable is the number of tourist arrivals, while the independent variables are geopolitical risk, currency fluctuation, and economic policy. Control variables such as GDP, exchange rate, and distance to major tourist destinations are also included. The results show that geopolitical risk and currency fluctuation have a significant negative impact on tourist arrivals, while economic policy has a positive impact. The study also finds that the impact of geopolitical risk is stronger in the short term, while the impact of economic policy is stronger in the long term. Additionally, the study shows that the effects of these factors on tourist arrivals vary across BRICS countries. The policy implications of this study suggest that BRICS economies need to develop proactive economic policies that promote stability and encourage investment in the tourism industry.

The effect of financial development and economic growth on ecological footprint: evidence from top 10 emitter countries.

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.

Does the frequency of stochastic convergence in per capita ecological footprint matter?

Among the environmental economics research issues, the issue of convergence has received quite a lot of attention, which is also known as stationary analysis. In this research strand, whether shocks to the time series variable are permanent or temporary is tested via the unit root tests. In this study, based on the theory and empirical works of stochastic convergence, we evaluate the convergence for the BASIC member countries, including Brazil, South Africa, India, and China. We use a variety of methodologies to see whether the convergence of ecological footprint holds for these countries or not. We first use the wavelet decomposition technique to decompose the series into the short run, middle run, and long run, and then we run several unit root tests to confirm the stationarity property of the series. The methodologies implemented in this study allow us to apply econometric tests to the original series as well as to the decomposed series. The results of panel CIPS test demonstrate that the null hypothesis of unit root could be rejected for the short run but not for the middle and long run, implying that long-lasting impact might prevail due to any shocks to the ecological footprint in the middle and long run. The results for individual countries varied.