income inequality
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2022 ◽  
Vol 11 (1) ◽  
Author(s):  
Monica Addison ◽  
Kwasi Ohene-Yankyera ◽  
Patricia Pinamang Acheampong ◽  
Camillus Abawiera Wongnaa

Abstract Background Government of Ghana’s effort to reduce income inequality consistently poses a major challenge to public policy formulation. The promotion and dissemination of agricultural technologies as a pathway out of income inequality in rural Ghana have received widespread support. Yet, knowledge about the impact of agricultural technologies on rural income inequality remains low. The objective of the study is to evaluate the link between the uptake of improved rice technologies and income distribution in the study area. Methods This paper uses a survey data from 917 smallholder rice producers in selected communities in Ghana. The study employs the Bourguignon, Fournier, and Gurgand (BFG) selection bias correction model, a two-stage model, to empirically analyse the role of agricultural technologies in rural income distribution. Results The empirical result shows that education, farm size, land ownership, participation in relevant extension training programmes enhance adoption, but gender (female) inhibits uptake of the selected technologies. The empirical result further shows that the uptake of the improved rice seed and fertilizer increases rice farmers’ net revenue significantly. The result further indicates that farmers’ choice of the selected agricultural technologies decreases the sample population income inequality, indicating the uptake of the technologies has an equalizing effect on rice farmers’ income distribution. Conclusion The study concludes that the use of the selected technologies has potential to fight rural poverty in Ghana. The findings have implications for National Development Planning Commission (NDPC) agenda of redistribution of wealth in Ghana.


PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0257498
Author(s):  
Kaiyang Zhong

In recent years, digital finance has become a crucial part of the financial system and reshaped the mode of green finance in China. Digital finance has brought certain impact on economic growth, industrial structure, and resident income, which may affect pollution. The nexus of digital finance and environment in China is thus worth exploring. By revising the traditional Environmental Kuznets Curve model with income inequality variable, this paper decomposes the environmental effects of economic activities into income growth effect, industrial structure effect and income inequality effect, and use panel data of China’s provinces to conduct an empirical analysis. The results reveal the following: (1) the Environmental Kuznets Curve is still valid in sample, and digital finance can reduce air and water pollution (as measured through SO2 and COD emission) directly; (2) in the influence mechanism, digital finance can alleviate income inequality and promote green industrial structure, thus reducing pollution indirectly, but the scale effect of income growth outweighs the technological effect, which increases pollution indirectly; and (3) digital finance has a threshold effect on improving the environment, then an acceleration effect appears after a certain threshold value. From the regional perspective, digital finance development in eastern regions is generally ahead of central and western regions, and the effects of environmental improvement in the eastern regions are greater. According to the study, this paper suggest that digital finance can be an effective way to promote social sustainability by alleviating income inequality and environmental sustainability by reducing pollution.


2022 ◽  
Vol 2 (1) ◽  
Author(s):  
Guanghua Wan ◽  
Xiaoling Zhang ◽  
Mengxue Zhao

AbstractThe global community has been confronted with rising income inequality, in particular, for those least developed countries (LDCs), since the same level of inequality as in advanced countries would push many LDCs into abject poverty. This paper focuses on income inequality in developing countries, particularly LDCs. First, we demonstrate the infeasibility of fiscal measures in resolving income inequality even in developed countries. Second, we show that inequality in LDCs can be largely explained by urban-rural gap. Third, we uncover the benign impacts of urbanization on urban-rural gap. This leads us to propose an out-of-box strategy—containing income inequality by promoting well-managed urbanization. Fourth, we reveal a misperception that may have contributed to the neglect of urban-rural gap in constituting national inequality. This has possibly caused anti-urbanization mentalities and practices, with adverse distributional consequences. Finally, we provide evidence-based policy suggestions aimed at reducing income inequality and poverty—two major goals of SDGs.


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