The Impact of Oil Price Shocks on National Income: Evidence from Azerbaijan

Environmental pollution and price dimension of renewable and nonrenewable energy, economic growth, and financial inclusion in Asia: analysis for carbon mitigation to achieve UN Agenda-13

This study scrutinizes the impacts of oil price fluctuations, financial inclusion, and energy consumption on carbon flare-ups in 20 Asian developing nations. For empirical analysis panel data for the period from 1990 to 2020, and the CS-ARDL model is applied. Furthermore, our data confirm the existence of CD), slope parameter heterogeneity (SPH), and panel co-integration among the variables. For the stationarity of variables, this study applies a cross-sectional augmented IPS (CIPS) unit root test. The outcomes of the study depict that the price volatility of oil in the selected countries affects carbon emissions positively and significantly. This is because these nations use oil as a primary source of energy for the production of electricity, for manufacturing activities, and mainly in the transport sector. Financial inclusion helps to mitigate carbon emissions in developing Asian economies by motivating the industrial sector to adopt clean environmentally friendly production methods. Therefore, the study suggests that reducing dependency on oil and promoting renewable energies, and improving access to affordable and financial products will provide a pathway to achieve UN Agenda-13, a clean environment by mitigating carbon emissions in developing Asian nations.

Study on the Dynamic Relationship between Chinese Residents' Individual Characteristics and Commercial Health Insurance Demand

Based on the time series data of age characteristics, household registration characteristics, gender characteristics, education characteristics, marriage characteristics and commercial health insurance density of Chinese residents from 1997 to 2020, this paper aims to explore the dynamic relationship between the individual characteristics of Chinese residents and the demand for commercial health insurance by means of impulse response and variance decomposition analysis using an SVAR model. The results show that the age characteristics, household registration characteristics, gender characteristics, education characteristics and marriage characteristics of Chinese residents have a significant impact on the demand for commercial health insurance, but there is a time lag. There is a long-term equilibrium relationship between them: In terms of age characteristics and gender characteristics, the former has a positive effect in the short term and a significant inhibition on commercial health insurance demand in the long term, while the latter has the opposite. In terms of household registration characteristics, education characteristics and marriage characteristics, there are positive effects on the whole and negative effects in a particular period.