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Abstract This study investigates the macroeconomic effects of adverse oil price shocks on a small oil-exporting economy — the Azerbaijan economy. We estimate a recursive (near) VAR model by using monthly macroeconomic data from 2006 to 2018. The results indicate the Azerbaijan economy is adversely influenced by an oil price decline. Specifically, we find that a negative oil price shock deteriorates trade balance, causes a currency depreciation, increases inflation and falls economic activity. Furthermore, our findings imply that the oil price-led devaluation shapes the inflationary and recessionary consequences of this shock.

Purpose This study aims to consider environmental sustainability, a global challenge under the preview of sustainable development goals, highlighting the significance of knowledge economy in attaining sustainable aggregate demand behavior globally. For this purpose, 155 countries that have data available from 1995 to 2021 were selected. The purpose of selecting these countries is to test the global responsibility of the knowledge economy to attain environmental sustainability. Design/methodology/approach Results are estimated with the help of panel quantile regression. The empirical existence of aggregate demand-based environmental Kuznets curve (EKC) was tested using non-linear tests. Moreover, principal component analysis has been incorporated to construct the knowledge economy index. Findings U-shaped aggregate demand-based EKC at global level is validated. However, environmental deterioration increases with an additional escalation after US$497.945m in aggregate demand. As a determinant, the knowledge economy is reducing CO2 emissions. The knowledge economy has played a significant role in global responsibility, shifting the EKC downward and extending the CO2 reduction phase for every selected country. Further, urbanization, energy intensity, financial development and trade openness significantly deteriorate the environmental quality. Originality/value This study contains the empirical existence of aggregate demand-based EKC. The role of the knowledge economy is examined through an index which is calculated by using four pillars of the knowledge economy (technology, innovations, education and institutions). This study is based on a combined panel of all the countries for which the data was available.

AbstractRemittances to the Philippines constitute a prominent part of its economy. However, remittances' effects on its environment have not been researched. In this regard, this research examines the direct and indirect impacts of remittance inflows on the Philippines' environmental sustainability for the 1977–2016 period by proposing a multivariate model, and by utilising the augmented ARDL and VECM methods to estimate this model. Our findings indicate that remittance inflows threaten environmental sustainability in the long‐run both directly and indirectly through boosting income and energy (oil) consumption. The results additionally imply that income and energy consumption also increase the ecological footprint of the Philippines in the long‐run. However, economic globalisation's long‐run impact is insignificant, yet its short‐run impact is significantly negative on the country's level of environmental degradation. Additionally, the findings reveal that the feedback hypothesis is valid between income and energy consumption in the long‐run, but the neutrality hypothesis is valid in the short‐run. This research's findings reveal that remittance inflows' impact on the environment is significant, and can occur through direct and various indirect channels, therefore, these inflows should be an integral part of sustainability policies in the Philippines, as ignoring them could cause further environmental decline.

We researched China's climate and sustainable development goal with relevant and susceptible instruments capable of inducing and mitigating carbon emissions. Amidst the contributor to the global carbon emissions, China is caught in between mitigating its carbon emission and aiming towards placing its national contribution of emissions to the acceptable levels of 1.5 °C and below 2 °C. Following the intricacies surrounding China's sustainable development as it contains its economic and environmental performance, we adopt China's data of 1980 and 2018 with different scientific approaches (nonlinear autoregressive distributed lag (NARDL), dynamic ordinary least square test, and bootstrap Granger causality) with different instruments (such as economic growth, financial development, renewable energy, and innovation policies) to research China's sustainable development. For clear exposition and insight into our findings with policies attached, we draw a conclusion from the outcomes of the mentioned approaches. From NARDL and dynamic ordinary least squares (DOLS), we find that economic growth through economic activities is statistically significant in determining the trend (increase) of carbon emissions in China in both periods (short run and long run). However, other selected instruments (financial, renewable, and innovation policies) tend towards controlling and moderating the carbon emissions in China. Thus, China has good prospects to mitigate its carbon emissions if considered tailoring its policies towards favorable instruments. From bootstrap Granger causality, we find similar inferential results that support previous findings thereby confirming the positive implication of the selected instruments to China's sustainable development. Hence, the nexus that is established among the selected instruments clearly show the importance of technological innovation and renewable energy in mitigating carbon emissions.

Abstract Globally, three-quarter of a billion people live without electricity. Besides, hundreds of million use a solar lantern for less than 4 h a day. Most of the access-deprived are in the Global South, predominantly in Sub-Saharan Africa and South Asia. The United Nations framed the seventh Sustainable Development Goal to improve access. Solar photovoltaic powered mini-grids are increasingly extending better service to deprived regions. However, poor load-factor and expensive storage adversely affect viability. Also, these mini-grids do not support infrequent large loads to avoid further loss of load-factor. Electric cooking is efficient and non-polluting; water treatment facilities can save millions from contaminant and pathogen by providing clean water. Besides, both electric cooking and water treatment are less expensive than alternatives. But mini-grids frequently do not support these. Indeed, the presence of sustained productive loads favourably influences the mini-grid economy. This study investigates the role of critical household loads to deliver similar bearing on the mini-grid economy. Results underscore realisation of desirable impact with household collaboration under a demand-response program. Collaborative consumption can lower initial investment by 62% and reduce the unit energy cost to $0.23. Also, cooperation improves the mini-grid load factor and promotes viability. Additionally, fast deployment needs during and after Covid-19 remains inherently supported while mitigating the pandemic induced financial stress of both consumer and mini-grid operator. This study of 88 nation-states underscores that demand response in a mini-grid can not only improve affordability for all consumers, but it can also bring 186 million people within affordable access.

Abstract This paper analyzes the energy consumption behavior of urban households in Nepal during the energy crisis induced by the unofficial Indian economic blockade in 2015. Our findings suggest that urban households have a smaller marginal utility attached to the consumption of one more unit of electricity relative to other dirty energy sources like firewood. The 2015 economic blockade had some deteriorating impacts on a household fuel choice as they were forced to degrade to firewood for cooking. However, to some extent, the blockade also seems to have acted as a push factor for some households towards cleaner sources like electricity largely due to the distrust in the supply of petroleum fuels. There is a variation in energy consumption behavior of households, which is explained by different demographic and socioeconomic attributes of the household. Households with a better educated head and those headed by a female are generally more amenable to cleaner fuels such as electricity. On the other hand, larger households and those residing outside the Kathmandu valley are less likely to make the jump to cleaner fuels. House ownership and number of rooms used were found to have no significant association with the energy consumption behavior of households residing in urban Nepal.

There are papers on association about natural resources, economic expansion, and their effect on the quality of the environment in Central Asia. However, no study has investigated the effect of human capital in this nexus concerning the Central Asian states. Thus this study investigates the link between natural resources, economic expansion, human capital, and CO2 in Central Asian states by employing Pooled Mean Group (PMG) and the Dumitrescu and Hurlin (DH) causality tests from 1995 to 2018. The outcomes from the PMG model showed that human capital has an opposite and significant association with CO2 in the short and long run. Therefore, it is stated that local human capital with higher environmental awareness through education and training makes a positive impact on environmental quality. With the growth of the natural resources index and expansion of the economy, Central Asian emissions will rise. With a positive and substantial coefficient of the natural resources, the finding suggests that, even though Central Asian states have plenty of natural resources, they are unable to exploit them efficiently to reap good rent advantages to reduce the emissions. The outcomes of the causality test stated that the index of natural resources, economic expansion, and human capital have one-way causality with emissions. The important policies and recommendations for maintaining the economic and environmental sustainability of this country are provided at the end of this paper.

Due to various environmental degradation and natural resource depletion around the world, researchers' and policymakers' attention has turned to what causes environmental degradation. The pursuit of a healthy environment has become a global challenge, a problem that affects more than one nation. Climate change is causing severe weather conditions in every world, disrupting economies and affecting the lives of many people. Hence, the study analyzes how trade and economic growth impact environmental degradation in Belgium, the USA, and Canada using panel data from 1995 to 2016. The study utilized the autoregressive distributed lag approach to provide new evidence and policy implications. The outcome confirmed the presence of cointegration among the selected variables. However, it was observed that economic growth decreases environmental degradation in the long run while trade openness shows a positively insignificant relationship with carbon emission. Nevertheless, a positive short-run relationship was observed between economic growth and carbon emissions whereas a negatively insignificant relationship was observed for trade and carbon emission. The findings prompted policy implications that more trading could be done between the countries. When countries trade more, their economies will flourish, ensuring global prosperity and minimizing environmental degradation.

The threat of biodiversity loss and mass extinction of species with an aftermath will shape all lives now and those to come. In this context, recent empirical studies illustrate various drivers of biodiversity for better environmental quality; however, the impact of the insurance market has not been thoroughly examined. Likewise, the possible non-linearities between biodiversity and its determinants are ignored in the current empirical literature for BRICS economies. Therefore, this work is the first to explore the effect of the insurance market, climate change, and renewable energy on biodiversity in BRICS economies using an advanced method of the non-linear autoregressive distributed lag (NARDL) method. The findings illustrated that a decline in the insurance market alleviates biodiversity loss and stimulates environmental quality. In contrast, an increasing insurance market augments biodiversity loss and negatively affects ecological quality. Furthermore, the findings uncovered that carbon emissions are detrimental to environmental quality. Lastly, the results report that reducing the level of renewable energy worsens biodiversity loss while boosting renewable energy utilization declines biodiversity loss. The policymakers and regulatory authorities in the BRICS should adopt the risk-based approach proposed by the network of greening the financial system (NGFS) to tackle the dilemma of double materiality between financial institutions and biodiversity.