Eco-Innovation and Its Influence on Renewable Energy Demand: The Role of Environmental Law.

There is a consensus among the empirics regarding the positive role of renewable energy in mitigating the effects of climate change. Hence, it is vital to search for the factors that can promote renewable energy demand. As a result, this analysis investigates the impact of educational attainment, environmental law, and innovation on renewable energy consumption (REC) in China. From empirical estimates, we confer that the long-run estimates attached to the environment-related taxes and environmental policy stringency are positive and significant, implying that both these factors increase the REC in China in the long run. Similarly, the estimated coefficients of environment-related technologies and patent applications are significantly positive, confirming that environmental and other technologies give rise to REC in the long run. Likewise, the long-run estimates of education are significantly positive in both models, which confer that REC increases along with an increase in average years of schooling. Lastly, the estimates of CO2 emissions are significantly positive in the long run. These results imply that policymakers should invest in research and development activities that are crucial for promoting eco-innovation and renewable energy demand. In addition, strict environmental laws should be introduced to induce firms and businesses to invest in clean energy.

Designing a clean environmental framework for Pakistan: analyzing the nonlinear impact of aggregate demand drivers on CO2 emissions.

Aggregate demand in every country is one of the main components of macroeconomics, and Pakistan is no exception. This paper uses a fresh econometric framework to analyze the nonlinear impact of aggregate demand drivers on CO2 emissions in Pakistan by using a nonlinear ARDL approach over the data period from 1975 to 2019. The linear findings reveal that consumption and government expenditure indicates deteriorating effects on carbon emissions in long run in Pakistan. However, nonlinear findings revealed that positive change in government expenditure and trade has positive effects on carbon emissions. The positive change in investment has a negative significant and meaningful effect on the environment in Pakistan and asymmetric findings are also country-specific. Therefore, this study offers a few important policy implications for theorists, academics, and policymakers of Pakistan as well developing economies.

Re-evaluating the asymmetric conventional energy and renewable energy consumption-economic growth nexus for Pakistan.

To understand the nexus between economic growth and energy sources, in this study, we have selected Pakistan and collected data over the period 1980-2016. The neoclassical production function of Pakistan is augmented with conventional and renewable energy, capital, and labor. Conversely, the conventional and renewable models are being constructed by using GDP as an independent variable. This paper applied linear and nonlinear ARDL models to see whether the influence of conventional and renewable energy consumption on GDP per capita of Pakistan is symmetric or asymmetric and vice versa. Furthermore, the asymmetric causal effects between the energy variables and economic growth are also discussed. From the findings of the study, we deduce the long-run asymmetric effects of renewable energy on the economic growth of Pakistan. Similarly, the asymmetric effects of GDP, in the long run, are confirmed in both energy models. The symmetric and asymmetric causality results have recommended growth and conservation hypothesis. The findings propose that renewable energy is a significant factor in boosting the economic growth of Pakistan and a decline in the use of renewable energy could actually stem the economic growth of Pakistan.

Physical infrastructure, energy consumption, economic growth, and environmental pollution in Pakistan: an asymmetry analysis.

This study explores the symmetric and asymmetric effects of physical infrastructure on energy consumption, economic growth, and air pollution of Pakistan over the period 1990-2019. The ARDL results for the energy consumption model suggest that aircraft carriers (ACC) and road infrastructure foster energy consumption in the short term. For the growth model, the impact of trade is negative and significant in both short run and long run. The results for environmental pollution model suggest that information communication technology (ICT) is positively associated with CO2 emissions, whereas trade is negatively associated with emissions in the short and long run. The road has a positive impact on CO2 emissions while ACC has a negative impact in the long run. The nonlinear ARDL results reveal that negative component of ICT negatively influences energy consumption, while positive component has insignificant impact. Similarly, ACC, road, and trade also exhibit asymmetric effects. ICT has a significantly negative impact on economic growth. Finally, the positive shock to road has a significantly positive impact on pollution but the negative shock has no impact. Additionally, the coefficient of ACC and trade also infer asymmetries in pollution model. The results offer important policy implications for achieving high growth and better environmental quality in Pakistan.