Is the economic uncertainty- human health relationship nonlinear? An empirical analysis for the China.

The health costs of economic uncertainty always remain a major concern among policymakers of China. The theoretical and empirical literature on the economic uncertainty-human health nexus is still in its infancy stage. This study is firmly rooted in the economic uncertainty theory advanced by Baker, Bloom, & Davis. In this study, the primary objective of the analysis is to estimate the asymmetric impact of economic uncertainty on human health in China's economy. In order to evaluate the short and long-run estimates of economic uncertainty on human health across various quantiles, we have employed the linear and nonlinear QARDL models. The linear QARDL model shows that the long-run relationship between economic uncertainty and the infant mortality rate is positive and significant at all quantiles, while the long-run relationship between economic uncertainty and the death rate is positive and significant at higher quantiles. The nonlinear QARDL model reveals that, in the long run, the relationship between the positive shock of economic uncertainty and the infant mortality rate is positive and significant at quantiles 0.30 to 0.95, while the long-run relationship between the positive shock of economic uncertainty and the death rate is positive and significant at higher quantiles. The relationship between the negative shock of economic uncertainty and the infant mortality rate is negative and significant at the highest quantiles, while the relationship between the negative shock of economic uncertainty and death rate is negative and significant at higher quantiles in the long run. The findings indicate a positive relationship between economic uncertainty in China and higher rates of infant mortality and death. Thus, adopting suitable policies for controlling economic uncertainty can help in improving human health in China.

Eco-innovation and environmental entrepreneurship: steps towards business growth.

Eco-innovations are widely considered the best possible solution to fight the menace of environmental degradation. Therefore, in this analysis, we try to examine the impact of eco-innovations and environmental entrepreneurship on SME performance in China from 1998 to 2020. In order to get the short- and long-run estimates, we have employed the QARDL model that can estimate across various quantiles. The findings of the QARDL model confirm the positive impact of eco-innovations in increasing the number of SMEs in the long run, as the estimates attached to eco-innovations are positive and significant across most quantiles. Similarly, the estimates attached to financial development and institutional quality are positively significant across most quantiles. However, in the short run, the results are inconclusive for almost all variables. As far as the asymmetric impact of eco-innovations on SMEs is concerned, it is confirmed both in the short and long run. However, the asymmetric impacts of financial development and institutional quality on SMEs are only confirmed in the long run. Based on the results, important policy suggestions are discussed.

Exploring the asymmetric determinants of consumption and production-based CO2 emissions in China.

Environmental pollution has intensified significantly in the last few decades. Policymakers have considered this issue due to its direct influence on human lives throughout the globe. This study explores the asymmetric determinants of consumption-based and production-based CO2 emissions for China, for time horizon 1990-2019. ARDL and NARDL regression approaches have been adopted for empirical investigation. The ARDL regression method reveals that GDP does not produce any impact on production-based and consumption-based CO2 emissions, while energy use contributes as an increasing determinant of consumption-based and production-based CO2 emissions in the long-run. The NARDL regression method reveals that a positive shock in GDP is beneficial for a decline of consumption-based CO2 emissions, while it does not reduce production-based CO2 emissions in the long-run. However, negative shock in GDP contributes as an increasing determinant of consumption-based CO2 emissions. Results also report that positive shock in energy use behaves as an increasing agent of consumption-based and production-based CO2 emissions in the long-run, while negative shock in energy use produces a decline in production-based CO2 emissions in the long-run. Thus, policymakers should adopt such demand and supply sides' management policies that contribute to controlling CO2 emissions.

Towards a green economic policy framework in China: role of green investment in fostering clean energy consumption and environmental sustainability.

Recently, China has relished rapid green investment, and its influence on clean energy consumption and environment is substantial. Therefore, this study scrutinizes the effects of green investment on clean energy consumption and CO2 emissions in China by using autoregressive distributed lag model (ARDL) approach over time from 1998 to 2019. The results show that green investment tends to have a positive effect on clean energy consumption in China in the long run. The outcomes of study also show that green investment also tends to have a negative effect on CO2 emissions in China, but it has a small effect on carbon emissions in magnitude in the long run. Importantly, possible channels revealed green investment encouraging consumers and producers to consume clean energy, thereby positively affecting the environmental quality in China. Other control variables' findings show that environmental tax and financial development have increased the environmental quality by decreasing the CO2 emissions. Based on the findings, it recommends that green investment is considered necessary for encouraging clean energy consumption to reduce carbon emissions in high pollutant economies.

Green purchase behavior towards green housing: an investigation of Bangladeshi consumers.

Worldwide green products are getting popularity and acceptance due to energy crisis, climate change, and other environmental degradations which reveal the upcoming challenges of the twenty-first century. In construction industry, green housing (GH) is an emerging concept towards environmental sustainability. However, this study intends to consider the green purchase intention of Bangladeshi consumers towards GH through augmented theory of planned behavior (TPB) implantation. To investigate proposed hypotheses, the structural equation modeling (SEM) approach is applied on a sample set of 319 valid responses residing in Dhaka City and aging over 20 years. The empirical results infer that attitude and consumers' perceived behavioral control are significant features of green purchase intention and have a vital role in green purchase behavior. In contrast, environmental concern, environmental knowledge, and subjective norm have no direct effect on the green purchase intention of consumers towards GH in Bangladesh. Instead, environmental knowledge and environmental concern indirectly affect the green purchase intention. The findings of the present study can contribute to the existing literature to understand Bangladeshi consumers' green purchase intention and their green purchase behavior and promote GH which can play a robust role in environmental sustainability.