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In China, agricultural non-point source pollution is one of the key factors limiting farmers' income growth, and pro-environmental behavior can address agricultural surface pollution. Based on field survey data from 591 farmers in Xinjiang, China, this study empirically estimates the impact of pro-environmental behavior on farmers' income growth. The results show that pro-environmental behavior plays a significant positive role in increasing farmers' income, and the positive effect continues in the long run. Specifically, pro-environmental behavior can optimize the allocation of agricultural production factors, thus resulting in farmers' income growth. The mechanism analysis shows that pro-environmental behavior affects farmers' income growth by promoting the increase in the size of arable land and farmers' willingness to transfer their land in the future. These findings indicate that a sound reward-punishment system for pro-environmental behavior should be established; training on pro-environmental behavior should be strengthened, and a mechanism for linking the benefits of pro-environmental behavior among stakeholders should be constructed.

Counting the world's poor: problems and possible solutions; by Angus Deaton. Comments on \"counting the world's poor\"; by Martin Ravallion, and T. N. Srinivasan. Ecology, history, and development : a perspective from rural Southeast Asia; by Yujiro Hayami. Productivity growth and sustainability in post-green revolution agriculture: the case of the Indian and Pakistan Punjab; by Rinku Murgai, Mubarik Ali, and Derek Byerlee. The politics of Russian enterprise reform: insiders, local governments, and the obstacles to restructuring; by Raj M. Desai and Itzhak Goldberg.

This study analyzes the effect of digital rural construction on farmers’ income growth and the underlying mechanism using a 2SLS instrumental variable approach based on the county digital village index developed by Peking University and AliResearch, as well as micro-survey data of farmers in China. After fully correcting for endogeneity and verifying the robustness of the models, we found that digital rural construction has a significant positive impact on farmers’ total household income, wage income, and property income, while also inhibiting the growth of net agricultural income. Furthermore, we found that digital rural construction increases farmers’ income mainly by promoting non-agricultural employment and asset transformation. In terms of heterogeneity analysis, digital rural construction has a greater effect on increasing farmers’ income with high physical and human capital, but it is not beneficial to farmers with moderate social capital. It also has a greater effect on increasing farmers’ income in villages with better infrastructure. In addition, digital rural construction more significantly increases farmers’ income in the eastern, central, and southern regions of China compared with the western and northern regions. These findings provide new empirical evidence of the effect of digital rural construction on farmers’ income growth in China and other developing countries.

This paper investigates the hypothesis that the casual effect of life expectancy on income per captia growth is non-monotic. This hypothesis follows from the recent literature on unified growth, in which the demographic transition represents an important turning point for population dynamics and hence plays a central role for the transition from stagenation to growth. Results from different empirical specifications and identification strategies document that the effect is non-monotonic, negative (but often insignificant) before the onset of the demographic transition, but strongly positive after its onset. The results provide a new interpretation of the contradictory existing evidence and have relevant policy implications.

This paper presents examination of how a pension policy affects income growth and the inflation rate in a utility model. Even if the contribution rate of pension increases because of an aging society, an aging society increases income growth and the inflation rate. Moreover, this paper presents examination of the optimal growth rate of the money supply. Because of the pension policy, the optimal growth rate of money stock changes. This result is intuitive because a pay-as-you-go pension changes capital accumulation. Therefore, the income growth rate should be changed to raise the welfare of all generations.

Broad-based growth is critical for accelerating poverty reduction. But income inequality also affects the pace at which growth translates into gains for the poor. Despite the attention researchers have given to the relative roles of growth and inqequality in reducing poverty, little is known about how the microunderpinnings of growth strategies affect poor households' ability to participate in and profit from growth. Delivering on the Promise of Pro-Poor Growth contributes to the debate on how to accelerate poverty reduction by providing insights from eight countries that have been relatively successful in delivering pro-poor growth: Bangladesh, Brazil, Ghana, India, Indonesia, Tunisia, Uganda, and Vietnam. It integrates growth analytics with the microanalysis of household data to determine how country policies and conditions interact to reduce poverty and to spread the benefits of growth across different income groups. This title is a useful resource for policy makers, donor agencies, academics, think tanks, and government officials seeking a practical framework to improve country level diagnostics of growth-poverty linkages.

Global anthropogenic greenhouse gas emissions have exacerbated climate variation. Climate variation impacts the agricultural production and rural residents’ income negatively, further widening the urban-rural income gap and harming the co-benefits. Narrowing the income gap has always been a global concern and an important part of China’s rural revitalization strategy. However, little is known about whether digital inclusive finance can mitigate the negative impact of climate variation on rural residents’ income growth in China. Using panel data from 31 provinces in China from 2011 to 2019 and a digital inclusive finance index developed by Peking University, together with historical temperature data, this study examined the impact of digital inclusive finance on Chinese rural residents’ income growth in response to climate variation. It was found that digital inclusive finance could promote rural resident operating, wage, and transfer income growth. A heterogeneity analysis revealed that rural residents in central and western regions experienced larger digital inclusive finance facilitating effects on income growth than the eastern regions. Further analyses using the Spatial Dubin Model found that digital inclusive finance had a spatial spillover effect as it could significantly promote income growth in neighboring provinces. Although climate variation reduced rural residents’ income and increased their risks, digital inclusive finance significantly mitigated this negative effect. Digital information infrastructure construction, financial risk prevention, digital financial knowledge, and e-commerce popularization were practical paths to optimizing inclusive finance development in rural areas and promoting poverty alleviation and rural revitalization to resist climate risks.

PurposeThe purpose of this paper is to examine the direct effects of Internet use on rural residents' income growth and the indirect effects of increasing their income by promoting rural residents' entrepreneurial and non-agricultural employment.Design/methodology/approachRegarding the implementation of the rural revitalization strategy, based on the 2016CFPS data, multiple linear regression analysis and mediation effect analysis are used. To decrease the potential endogeneity of the model, we used the instrumental variable in the model.FindingsThe results show that: (1) Internet use has a direct effect on rural residents' income growth; (2) rural residents' entrepreneurial or non-agricultural employment affects the mechanism of Internet use and their income growth, so that can perform an indirect promotion effect; (3) the direct promotion effect of Internet use is stronger than the indirect promotion effect of entrepreneurship and non-agricultural employment.Originality/valueThe effect of using Internet for the income growth of Chinese farmers has been confirmed by some scholars, but the specific mechanism is still relatively vague. The originality is to consider the intermediary transmission effect of entrepreneurship and non-agricultural employment in the study of the impact of Internet use on Chinese farmers' income growth, and use the mediation effect model for empirical analysis. The empirical research results further reveal this mechanism.

The study empirically examines the environmental Kuznets curve (EKC) hypotheses by investigating the relationship between ecological footprint, economic growth, energy consumption, and population growth. The study uses ecological footprint as a measurement of environmental degradation which is a more comprehensive indicator and considers all factors responsible for environmental degradation. Keeping in view the problem of cross-sectional dependence, a more efficient estimation tools like pooled mean group and augmented mean group have been used to estimate the long-run parameters for 22 European countries from 1995 through 2015. Results of the study found a quadratic relationship between income growth and ecological footprint and support validity of EKC. Energy consumption positively contributes to ecological footprint, while population growth plays no significant role in determining environmental quality. The long-run estimates of the study are validated through robustness analysis by employing dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS) techniques. Dumitrescu and Hurlin (2012) panel non-causality test indicated that there is a unidirectional causality running from GDP to ecological footprint while bidirectional causality running between energy consumption and ecological footprint. The study identified that population growth in European region is not a severe issue as compared to intensive energy consumption. Policies which restrict emission, deforestation, and water pollution should be adopted for sustainability of environment.

This paper analyses the impact of digital technological innovation on the carbon emission intensity of enterprises and conducts an empirical test based on the data of listed enterprises in China from 2009 to 2021. The study finds that (1) digital technological innovation can significantly reduce carbon emission intensity. (2) Enterprises’ digital attention and investment can significantly increase their operating income but not reduce carbon emissions. Digital technology patents can significantly reduce carbon emissions in the short term. In the long run, even new digital technologies will have a carbon rebound effect once they are deployed on a large scale. Therefore, digital technology innovation is still challenging in the long run to realize the synergy effect of “increasing production and reducing carbon.” (3) Mechanism tests show that digital technology innovation can reduce carbon intensity by improving operational efficiency, promoting cleaner production, and improving human capital. (4) If the government pays moderate attention to digital development, digital technological innovation by enterprises can significantly reduce carbon intensity. Meanwhile, this effect is more significant in regions with higher levels of intellectual property protection. Digital technology innovation can significantly reduce carbon intensity for mature, high-tech, and technology-intensive enterprises. First published online 18 November 2024