Realization Path for Inclusive Finance to Support Rural Revitalization in Poverty-stricken Areas

Based on the quarterly economic,social and financial development data of 39 poverty-stricken counties in Henan Province during 2016-2018,this paper utilized the entropy-based TOPSIS method to objectively measure the rural revitalization index,and then built the quantile regression model to study the effects of various elements of inclusive finance on different stages of rural revitalization.Research results show that industrial development,agricultural modernization,targeted poverty alleviation,endogenous demand,and rural governance are the main points of inclusive finance in poverty-stricken areas to support rural revitalization;the rural revitalization index indicates that compared with the Dabie Mountain area and the non-contiguous poverty-stricken areas,the rural revitalization of the Qinba Mountain area is slower;for inclusive finance supporting rural revitalization,it is necessary to bring into play the role of monetary policy tools in re-lending,functions of credit in supporting industrial development,and role of insurance in risk protection;furthermore,inclusive finance solves problems such as the diminishing marginal effect of physical machinery investment in rural revitalization support,financial support for the coordinated development of small farmers and new agricultural business entities,financial support for the development of the entire industry chain,and the"siphon effect"of capital.

Articulating CO_(2)emissions limiting roles of nuclear energy and ICT under the EKC hypothesis:An application of non-parametric MMQR approach

Limiting toxic elements from being exposed to the world’s atmosphere has been the biggest challenge among environmental researchers and stakeholders.Climate change conferences have been counselling the global economies to take serious steps toward profound decarbonization to keep the universal temperature below 1.5C.In this context,the direction of environmental research has changed,and researchers are more focused on tracing how to limit pollution and keep it below the threshold level.In this milieu,nuclear energy can make a big difference along with other alternatives to fossil energy.Therefore,we extend the extant literature by exploring the dynamic effects of atomic energy and ICT on carbon emissions(CO_(2))for top nuclear energy countries using data from 1990 to 2017.To obtain robust findings,we deploy a novel non-parametric econometric approach(i.e.,method of moments quantile regression).The results suggest that nuclear energy is a sustainable alternative to historical fossil fuel as it curbs CO_(2)emissions in the lower,middle,and upper quantiles.Furthermore,our findings corroborate that ICT penetration through the internet,mobile and telephone plays a vital role in improving environmental quality.Moreover,we unveil that linear economic growth jeopardizes the environment by unleashing harmful gases.The findings also support the existence of the Environmental Kuznets Curve(EKC)hypothesis by confirming the negative association between the polynomial economic growth(squared-GDP)and CO_(2)emissions among the designated nations.Also,the Granger causality test reaffirms the causal nexus among selected series that runs from nuclear energy and technological innovation to CO_(2)emissions,indicating that any policy shock in both series leads to environmental degradation.We,therefore,advocate that the designated territories keep enriching their energy baskets with nuclear energy and boost ICT penetration to achieve a 100%decoupling of economic growth from pollution.