Exploring the nexus between green innovations and green growth in G-7 economies: evidence from wavelet quantile correlation and continuous wavelet transform causality methods.

There are numerous studies on the nexus between technology and economic growth. However, the recent paradigm shift toward achieving green economic growth calls for divulging the important drivers of green growth to derive the salient policies for triggering the green growth process. In this context, the recent study claims green technologies (GT) as the crucial determinant of green economic growth (GG) and extends the prior literature by examining the dynamic effects of GT on GG for G-7 nations.

Linking tourist's footprint and environmental tragedy through transportation, globalization and energy choice in BIMSTEC region: Directions for a sustainable solution using novel GMM-PVAR approach.

The rising temperature in the world's atmosphere is an outcome strongly linked to man-made manufactured interventions. Recreational activities in the form of tourism are such interventions that can unleash multidimensional negative externalities if not regulated properly. The Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) region has become one of the major hubs for recreational activities in the last few decades.

Will ASEAN countries be a potential choice for the export of pollution intensive goods?

China, being the world's largest exporter, has now certain environmental commitments such as to achieve carbon neutrality before 2060. These commitments of China has raised a reasonable concern regarding the expected reduction in the production and export of pollution intensive goods in the future. Besides China, the most efficient countries in the region to produce these goods are most of the member countries from ASEAN.

Environmental R&D and trade-adjusted carbon emissions: evaluating the role of international trade.

In the contemporary era, it is evident that consumption-based carbon emissions (CCO2e), adjusted for international trade, are a more accurate and robust measure of environmental pollution than production-based emissions. Therefore, many studies have focused on exploring the determinants of CCO2e; however, the literature could not yet discern environment-related R&D budget (ERRD) and political risk index (PRI) as a new driver. To fill this gap, the current paper aims to divulge the dynamic effects of ERRD and PRI on CCO2e while taking imports, exports, and GDP as control regressors.

Exploring the dynamic effects of shocks in monetary and fiscal policies on the environment of developing economies: evidence from the CS-ARDL approach.

The literature review of ample body indicates that the majority of the studies rely on a single proxy, while exploring the determinants of environmental quality, that can produce misleading results. To subdue this exigency, the current study extends the literature by deploying three proxies (carbon dioxide, methane, and nitrous oxide emissions) for assessing the environmental quality. In this context, the current study links macroeconomic policies, economic growth, fossil fuel consumption, and renewable energy consumption with the environmental quality for selected developing countries from 1990 to 2017.

Pathways towards environmental sustainability: exploring the influence of aggregate domestic consumption spending on carbon dioxide emissions in Pakistan.

The traditional literature has explored various factors including, but not limited to, trade openness, financial development, energy consumption, foreign direct investment, globalization, and per capita income that significantly contribute to carbon emissions. However, the current study identifies aggregate domestic consumption spending as a novel driver of carbon dioxide, employing the data for the period of 1973-2018 in Pakistan. To this end, we develop the theoretical framework to illustrate the link between aggregate domestic consumption spending and carbon dioxide emissions and deploy autoregressive distributed lag (ARDL), asymmetric ARDL, and the threshold non-linear ARDL (NARDL) techniques.

Decomposing the asymmetric effects of terrorism and FDI on carbon emission: evidence from fragile economies.

Terrorism is a universal phenomenon that creates economic, political, social, and environmental problems. The literature infers that little consideration is delivered to the nexus of terrorism and pollution emissions. To the best of the authors' knowledge, this study is a pioneer that investigates the linear/symmetric and non-linear/asymmetric impacts of foreign direct investment and terrorism on the CO emissions for ten fragile economies.

The asymmetric associations between foreign direct investment inflows, terrorism, CO2 emissions, and economic growth: a tale of two shocks.

Foreign direct investments can exert ambiguous effects on the environmental quality of the host economies. At the same time, terrorism is a worldwide phenomenon that affects human life, FDI inflows, economic growth, and, most importantly, environmental well-being. Hence, it can be expected that there are relationships between terrorism, foreign direct investment inflows, and carbon dioxide emissions.

How do climatic change, cereal crops and livestock production interact with carbon emissions? Updated evidence from China.

Carbon dioxide emission and climatic variation have a detrimental influence on the atmosphere as well as on agriculture production. The key aim of the present study was to investigate the influence of carbon dioxide emission on livestock, cereal crops production, rainfall and temperature in China by utilizing the vector autoregressive model and Granger causality test for the period 1988-2017. Variables stationarity was verified by using ADF, P-P and KPSS unit root tests.

Asymmetric investigation to track the effect of urbanization, energy utilization, fossil fuel energy and CO emission on economic efficiency in China: another outlook.

The accelerated urbanization in China was already coupled with a steadily increasing demand for energy usage. The present study major aim was to determine the asymmetric influence of urbanization, energy utilization, fossil fuel energy and CO emission on economic progress in China by using an annual time series data varies from 1975 to 2017. Stationarity amid variables was verified by applying the unit root tests, while non-linear autoregressive distributed lag (NARDL) bounds testing model was used to examine the asymmetric impacts on variables with short- and long-run dynamics.

Asymmetric effects of militarization on economic growth and environmental degradation: fresh evidence from Pakistan and India.

To examine the asymmetric effects of militarization on economic growth and environmental degradation, this empirical research analyzes annual data of Pakistan and India over the period 1985-2018 using the NARDL econometric model. The empirical results show significant positive militarization effects on economic growth, while non-militarization also shows positive effects on the economic growth in Pakistan and India. Estimation showed that a 1% increase in militarization (non-militarization) led to 8.

Effect of foreign direct investment on CO emission with the role of globalization, institutional quality with pooled mean group panel ARDL.

This study utilized the Pooled Mean Group estimator to investigate the effect of renewable energy consumption, electricity consumption, economic growth, institutional quality, and globalization on carbon dioxide emission with an updated dataset for 10 economies for the time period from 1985 to 2018. Results of Harris-Tzavalis's test and Levin-Lin-Chu's test show that the utilized regressand and regressors are stationary at I(0) and I(I) that conform that the pooled mean group estimator panel ARDL can be utilized. Results of Kao and Pedroni cointegration tests show that cointegration exists amongst the variables.

Examining the asymmetric effects of fiscal policy instruments on environmental quality in Asian economies.

Empirical studies pertaining to the effects of fiscal policy instruments on environmental quality have provided mixed evidence. We consider the asymmetric effects of fiscal policy instruments on environmental quality for the top ten Asian carbon emitters over the period 1981-2018. We go beyond the literature and claim that the effects could be asymmetric.

Asymmetric effects of inflation instability and GDP growth volatility on environmental quality in Pakistan.

This study inspects the empirical association between inflation instability, GDP growth volatility, and the environmental quality in Pakistan, covering the period 1975-2018 by using an asymmetric autoregressive distributed lag (ARDL) methodological approach. The asymmetric ARDL results document that positive and negative shocks of inflation instability have different effects on environmental quality. Negative shocks of inflation instability have a positive influence on carbon dioxide emissions (CO) and nitrous oxide emissions (NO), while positive shocks of inflation instability have insignificant effects in the long run.

The asymmetric effects of oil price changes on environmental pollution: evidence from the top ten carbon emitters.

The basic purpose of this study is to scrutinize the asymmetric effect of oil price changes on environmental pollution in Canada, China, India, Iran, Germany, Japan, Russia, South Korea, Saudi Arabia, and the USA. The study uses time series annual data of selected courtiers from 1981 to 2018 and applies non-linear ARDL (NARDL) model to examine the long- and short-run asymmetries. The results show that positive shocks in diesel prices in the USA, India, Japan, Germany, South Korea, Iran, and Canada, while negative shocks in China and India reduce carbon emissions in the long run.

Examining the asymmetric effects of globalization and tourism on pollution emissions in South Asia.

The asymmetrical impacts of globalization and tourism on pollution emissions of 5 South Asian countries for the period from 1980 to 2018 are examined through a non-linear autoregressive distributed lag (NARDL) technique, which shows that both short and long-run coefficients are asymmetric. The findings suggest that positive and negative shocks in globalization affect carbon emissions differently in the case of Bangladesh, India, and Pakistan, while similar results are found in the case of Nepal and Sri Lanka in the long run. Furthermore, positive tourism shock, in the long run, ameliorates the environmental quality by reducing carbon emissions in Nepal and Sri Lanka, however, increases the carbon emissions in Bangladesh, India, and Pakistan.

Analysis of asymmetries in the nexus among clean energy and environmental quality in Pakistan.

This study examines the short-run and long-run asymmetric effects of clean energy consumption on carbon emission in Pakistan, over the annual time period 1975-2018, by using a non-linear ARDL approach. The findings of the study confirm the existence of asymmetries, in the nexus between the clean energy consumption and carbon emission in the short and long run. The findings of non-linear model confirm that carbon emission responded contrary to positive shocks of energy variables as compared with their negative shocks.