Investigating factors affecting global environmental sustainability: evidence from nonlinear ARDL bounds test.

The concept of environmental sustainability formed the basis of the Paris Agreement and the United Nations conference in Rio de Janeiro. Empirically, without environmental sustainability, everything else could fall apart or be aimless. This study investigates factors affecting global environmental sustainability spanning 1966Q1 to 2019Q4. However, there are many micro-/macroeconomic factors engendering the environment, and the absence of robust clarity on whether factors such as economic growth, urbanization, trade openness, and energy consumption matter for global environmental sustainability remains a global academic dilemma in the economics literature. This paper utilized the unrestricted nonlinear autoregressive distributed lag (NARDL) bounds test techniques to model their relationship. Furthermore, the study adopted fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and canonical cointegrating regression (CCR) methods to test the research hypothesis, catering to the problem of endogeneity and serial correlation. Up-to-date of this study, no empirical study has examined the nexus of these variables within the global framework. The outcomes suggested that (i) NARDL bounds test of cointegration confirmed evidence of long-run and short-run relationships among the variables; (ii) long-run asymmetric relationship was affirmed among the variables; and (iii) DOLS, FMOLS, and CCR models demonstrate that economic growth, energy consumption, and trade openness are positively significantly correlated with environmental sustainability except for economic growth which shows negative and insignificant correlation. These findings validate the protracted argument in literature that these estimated variables are significant for global environmental sustainability. This study recommends that environmental policymakers integrate global economic incentives with favorable regulatory changes for achieving the goals of a global sustainable environment in the long-run equilibrium.

The impact of financial development on carbon dioxide emissions in Jamaica.

We determine the possible impacts of changes in financial development on carbon dioxide (CO2) emissions in Jamaica for the period 1980 to 2018, with special attention given to the possible existence of asymmetries in this relationship. There are three major findings. First, there is a unique cointegrating relationship among the variables where CO2 emissions are a function of financial development, real domestic economic activity, and trade openness. Financial development negatively impacts CO2 emissions in this relationship, even though CO2 emissions are impacted positively by rising levels of real domestic economic activity and trade openness. Second, there is an asymmetric impact of changes in financial development in the long run and short run on changes in CO2 emissions. Third, positive and negative changes in financial development Granger cause CO2 emissions in the short run. One policy implication of these findings is that strengthening the negative relationship between CO2 emissions and financial development could lessen the increase in CO2 emissions associated with rising levels of real domestic economic activity.

Determinants of consumption-based carbon emissions in Chile: an application of non-linear ARDL.

In recent years, a growing number of scholars have employed various proxies of environmental degradation to understand the reasons behind rising environmental degradation. However, very few studies have considered consumption-based carbon emissions, even though a clear understanding of the impact of consumption patterns is essential for redirecting the pattern to more sustainable consumption. Thus, this study takes a step forward by using consumption-based carbon emissions (CCO2) as a proxy of environmental degradation using the novel non-linear ARDL technique for Chilefrom 1990 to 2018. To the best understanding of the investigators, no prior studies have investigated the drivers of consumption-based carbon emissions utilizing non-linear ARDL. The study employed ADF and KSS (non-linear) tests to check the data series' stationary level. Additionally, the symmetric and asymmetric ARDL approaches are utilized to explore cointegration and long-run linkages. According to the results, there is no symmetric cointegration among the variables; however, the empirical estimates reveal a long-run asymmetric connection between the indicators and CCO2 emissions. The novel results from the asymmetric ARDL indicate that negative and positive changes in economic growth deteriorate the quality of the environment. Interestingly, a reduction in economic growth makes a more dominant contribution to environmental degradation. Moreover, positive changes in renewable energy usage improve the quality of Chile's environment, inferring that the country can achieve a reduction in environmental degradation by boosting renewable energy consumption. Surprisingly, the study found that technological innovation is ineffective in reducing consumption-based carbon emissions, which implies that Chile's technological innovation is not directed towards manufacturing green technology. Finally, the policy implications are discussed with respect to reducing consumption-based carbon emissions.

The impact of agriculture trade and exchange rate on economic growth of Pakistan: an NARDL and asymmetric analysis approach / O impacto do comércio agrícola e da taxa decâmbio no crescimento econômico do Paquistão: uma abordagem de análise NARDL e assimétrica

This study contributes to the extant literature on the nexus among agriculture export, import exchange rate and economic growth in Pakistan. We used annual time series data for 1980-2017 and employ the Non-linear Autoregressive Distributed Lag (NARDL) model. The NARDL testing results affirms asymmetric co-integration among the variables. The study main results show: (i) Co-integration test for long run the positive shocks in export and import have positive significant while exchange rate has positive effect the economic growth. (ii) Co-integration test for short run the positive shocks in import has positive significant and while Export and exchange rate have negative significant effect on economic growth. The symmetrical results show: (i) Export has unidirectional granger causality (ii) Exchange rate has bidirectional granger causality (iii) Import has not ganger causality with economic growth. In addition, the results demonstrated that causality relationship can help out policy maker to design such policies which are useful to economic growth of Pakistan, which could further promote foreign trade to gain the maximum level of economic growth.(AU)

Este estudo contribui para a literatura existente sobre o nexo entre exportação agrícola, taxa de câmbio de importação e crescimento econômico no Paquistão. Utilizamos dados de séries temporais anuais para 1980-2017 e empregamos o modelo Não-linear Autoregressive Distributed Lag (NARDL). Os resultados dos testes NARDL afirmam a co-integração assimétrica entre as variáveis. Os principais resultados do estudo mostram: (i) no teste de co-integração de longo prazo, os choques positivos nas exportações e importações têm uma significância positiva, enquanto a taxa de câmbio afeta positivamente o crescimento econômico; (ii) Teste de co-integração para curto prazo, os choques positivos nas importações são positivos significativos e, enquanto a exportação e a taxa de câmbio têm um efeito negativo significativo no crescimento econômico. Os resultados simétricos mostram: (i) a exportação tem causalidade unidirecional sobre o crescimento ; (ii) a taxa de câmbio tem causalidade bidirecional sobre o crescimento ; (iii) a importação não tem causalidade sobre o crescimento econômico. Além disso, os resultados demonstraram que a relação de causalidade pode ajudar o formulador de políticas a elaborar políticas úteis ao crescimento econômico do Paquistão, o que poderia promover ainda mais o comércio exterior para obter o nível máximo de crescimento econômico.(AU)

Does Cereal crops asymmetrically affect Agriculture gross domestic product in Pakistan? Using NARDL model approach / As colheitas de cereais afetam assimetricamente o produto interno bruto da agricultura no Paquistão? Usando a abordagem do modelo NARDL

This study contributes to the extant literature on the nexus among rice, maize and wheat production with agriculture gross domestic product (AGDP) of Pakistan. We use time series data from 1970 to 2017 and employ the Non-linear Autoregressive Distributed Lag (NARDL) model. Short run and long run shocks between the selected variables and results is checked through the co-integration and nonlinear error correction model.Autoregressive distributed lag bound testing approach for co-integration and to find the relationship between variables Granger causality test is applied.Our results confirm co-integration, positive shocks results show that rice, maize and wheat production have significantly influence on AGDP. The asymmetrically positive shocks of three crops have neutral effect on AGDP. While in symmetric results show the unidirectional effect between rice, maize production with AGDP and wheat production do not have ganger causality with AGDP. Finally, results depict that wheat, maize and rice production significantly contributes to agricultural GDP in the case of Pakistan.(AU).

Este estudo contribui para a literatura existente sobre o nexo entre a produção de arroz, milho e trigo com produto interno bruto agrícola (AGDP) do Paquistão. Utilizamos dados de séries temporais de 1970 a 2017 e empregamos o modelo NARDL (Non-linear Autoregressive Distributed Lag). Choques de curto e longo prazo entre as variáveis selecionadas e os resultados são verificados por meio do modelo de co-integração e correção não linear de erros. É aplicada uma abordagem de teste de atraso retardado distribuído autorregressivo para co-integração e para encontrar a relação entre variáveis. Nossos resultados confirmam a co-integração; os resultados de choques positivos mostram que a produção de arroz, milho e trigo influencia significativamente na AGDP. Os choques assimétricos positivos de três culturas têm efeito neutro no AGDP. Enquanto nos resultados simétricos mostram o efeito unidirecional entre o arroz, a produção de milho com AGDP e a produção de trigo não têm causalidade de ganger com AGDP. Finalmente, os resultados mostram que a produção de trigo, milho e arroz contribui significativamente para o PIB agrícola no caso do Paquistão.(AU)

The impact of agriculture trade and exchange rate on economic growth of Pakistan: an NARDL and asymmetric analysis approach / O impacto do comércio agrícola e da taxa decâmbio no crescimento econômico do Paquistão: uma abordagem de análise NARDL e assimétrica

ABSTRACT: This study contributes to the extant literature on the nexus among agriculture export, import exchange rate and economic growth in Pakistan. We used annual time series data for 1980-2017 and employ the Non-linear Autoregressive Distributed Lag (NARDL) model. The NARDL testing results affirms asymmetric co-integration among the variables. The study main results show: (i) Co-integration test for long run the positive shocks in export and import have positive significant while exchange rate has positive effect the economic growth. (ii) Co-integration test for short run the positive shocks in import has positive significant and while Export and exchange rate have negative significant effect on economic growth. The symmetrical results show: (i) Export has unidirectional granger causality (ii) Exchange rate has bidirectional granger causality (iii) Import has not ganger causality with economic growth. In addition, the results demonstrated that causality relationship can help out policy maker to design such policies which are useful to economic growth of Pakistan, which could further promote foreign trade to gain the maximum level of economic growth.

RESUMO: Este estudo contribui para a literatura existente sobre o nexo entre exportação agrícola, taxa de câmbio de importação e crescimento econômico no Paquistão. Utilizamos dados de séries temporais anuais para 1980-2017 e empregamos o modelo Não-linear Autoregressive Distributed Lag (NARDL). Os resultados dos testes NARDL afirmam a co-integração assimétrica entre as variáveis. Os principais resultados do estudo mostram: (i) no teste de co-integração de longo prazo, os choques positivos nas exportações e importações têm uma significância positiva, enquanto a taxa de câmbio afeta positivamente o crescimento econômico; (ii) Teste de co-integração para curto prazo, os choques positivos nas importações são positivos significativos e, enquanto a exportação e a taxa de câmbio têm um efeito negativo significativo no crescimento econômico. Os resultados simétricos mostram: (i) a exportação tem causalidade unidirecional sobre o crescimento ; (ii) a taxa de câmbio tem causalidade bidirecional sobre o crescimento ; (iii) a importação não tem causalidade sobre o crescimento econômico. Além disso, os resultados demonstraram que a relação de causalidade pode ajudar o formulador de políticas a elaborar políticas úteis ao crescimento econômico do Paquistão, o que poderia promover ainda mais o comércio exterior para obter o nível máximo de crescimento econômico.

Does Cereal crops asymmetrically affect Agriculture gross domestic product in Pakistan? Using NARDL model approach / As colheitas de cereais afetam assimetricamente o produto interno bruto da agricultura no Paquistão? Usando a abordagem do modelo NARDL

ABSTRACT: This study contributes to the extant literature on the nexus among rice, maize and wheat production with agriculture gross domestic product (AGDP) of Pakistan. We use time series data from 1970 to 2017 and employ the Non-linear Autoregressive Distributed Lag (NARDL) model. Short run and long run shocks between the selected variables and result's is checked through the co-integration and nonlinear error correction model.Autoregressive distributed lag bound testing approach for co-integration and to find the relationship between variables Granger causality test is applied.Our results confirm co-integration, positive shocks results show that rice, maize and wheat production have significantly influence on AGDP. The asymmetrically positive shocks of three crops have neutral effect on AGDP. While in symmetric results show the unidirectional effect between rice, maize production with AGDP and wheat production do not have ganger causality with AGDP. Finally, results depict that wheat, maize and rice production significantly contributes to agricultural GDP in the case of Pakistan.

RESUMO: Este estudo contribui para a literatura existente sobre o nexo entre a produção de arroz, milho e trigo com produto interno bruto agrícola (AGDP) do Paquistão. Utilizamos dados de séries temporais de 1970 a 2017 e empregamos o modelo NARDL (Non-linear Autoregressive Distributed Lag). Choques de curto e longo prazo entre as variáveis selecionadas e os resultados são verificados por meio do modelo de co-integração e correção não linear de erros. É aplicada uma abordagem de teste de atraso retardado distribuído autorregressivo para co-integração e para encontrar a relação entre variáveis. Nossos resultados confirmam a co-integração; os resultados de choques positivos mostram que a produção de arroz, milho e trigo influencia significativamente na AGDP. Os choques assimétricos positivos de três culturas têm efeito neutro no AGDP. Enquanto nos resultados simétricos mostram o efeito unidirecional entre o arroz, a produção de milho com AGDP e a produção de trigo não têm causalidade de ganger com AGDP. Finalmente, os resultados mostram que a produção de trigo, milho e arroz contribui significativamente para o PIB agrícola no caso do Paquistão.