The impact of digital finance use on sustainable agricultural practices adoption among smallholder farmers: an evidence from rural China

Sustainable agriculture in the digital era: Past, present, and future trends by bibliometric analysis

The digital era is reshaping agricultural practices, opening new avenues for sustainable growth, and proving indispensable in global challenges like food security and environmental conservation. However, a comprehensive understanding of this evolving landscape remains paramount. This research evaluates 344 papers from the Web of Science database to delve into sustainable agriculture's historical and current patterns in the digital era through bibliometric analysis and project future domains. Specifically, citation analysis identified influential papers, journals, institutions, and countries, while co-authorship analysis verified the interactions between authors, affiliations, and countries. Co-citation analysis found four hotspot clusters: prosperity and challenges in agricultural sustainability, digital information and agricultural development, innovations for sustainable agriculture, and geospatial analysis in environmental studies. The co-occurrence of keywords analysis revealed four main clusters for future studies: smart agriculture and biodiversity conservation, digitalization and sustainable agriculture, technologies and agricultural challenge management, and digital intelligence and farmer adoption. The study pioneers the use of bibliometric analysis to explore sustainable agriculture in the digital era. It presents invaluable insights into the evolving landscape of this field, summarizing its hotspots and suggesting future trajectories.

Can digital inclusive finance promote agricultural green development?

Digital inclusive finance (DIF) provides new momentum for green agricultural development (AGD). This paper measured AGD with entropy weight TOPSIS in five dimensions, including resource conservation, environmental friendliness, ecological conservation, green supply, and economic growth. After that, it estimated the regional spillover effects and threshold impacts of DIF on AGD utilizing China's provincial panel data from 2011 to 2020. The paper shows that (1) DIF and AGD have such a U-shaped complex interrelationship; (2) the AGD is spatially impacted by DIF. The unique manifestation is that as DIF has increased, its effect on AGD has steadily changed from being direct to being indirect, and this effect has regional heterogeneity; and (3) in regions with higher levels of green technology innovation, better development of traditional finance, or relatively concentrated agricultural industries, DIF plays a more prominent role in promoting the AGD.

A step toward inclusive green growth: can digital finance be the main engine?

Inclusive green growth (IGG) has become a worldwide consensus to achieve the target of sustainable development goals. Although the prominent role of digital finance (DF) against the pandemic has drawn considerable attention from policymakers, its plausible effect on IGG and underlying mechanisms have not been distinctly explored in academia. The aim of the study is to explore the causal effect of DF on IGG based on prefecture city-level data from 2011 to 2019 in China. To this end, we employed the non-radial direction distance function approach within the global production technology to evaluate the aggregate IGG performance and its three sub-dimensions. The empirical results demonstrate that DF exerts a significant promotional effect on urban IGG. This finding continues to survive in an extensive set of robustness checks using an alternative dependent variable, model specifications, instrumental variable, and difference-in-difference approaches to address the endogeneity concerns. Meanwhile, sub-dimensional regressions show that this positive effect is driven predominantly by the scale economy of DF, while the depth of usage and digitalization playing a minor role. Moreover, we uncover that DF enhances IGG by leveraging greater marginal product of labor rather than capital, improving environmental externalities, increasing fuller employment, and reducing rural-urban income inequality. However, we also reveal the dark side of DF on imbalanced regional development. The promotional effect of DF on IGG is only prominent for cities with better inherent comparative advantages, and we are thus likely to see a widening digital divide resulting from the "Matthew effect" on regional disparity without timely policy interventions.

Do market pressure and social network affect farmers' adoption of low-carbon fertilization practices? Evidence from China

Excessive applications of agricultural chemical fertilizers contribute to environmental pollution and climate change. Although chemical fertilizers ensure high grain yields, it is crucial to regulate fertilization practices and avoid excessive application to achieve sustainable agricultural development. The overall goal of this study is to examine how market pressure and social network affect farmers' adoption of low-carbon fertilization practice. Data analyses were based on 1255 observations collected from a field survey in Anhui Province of China in 2021. The results showed that 32.1% of farmers had adopted low-carbon fertilization practices. The findings showed that market pressure, including consumption pressure and sales pressure, had positive impacts on the farmers' adoption of low-carbon fertilization practices. Findings also revealed that consumption pressure has a more significant influence on farmers' adoption of low-carbon fertilization practices than sales pressure. Social network has a significant positive influence on the farmers' adoption of low-carbon fertilization practices. Further analysis revealed that organizational network has a more significant influence on farmers' adoption of low-carbon fertilization practices than production networks. Therefore, the government should utilize market pressure and strengthen farmers' social network to improve the adoption rate of low-carbon fertilization practices. The results and policy implications of this study are significant for sustainable agricultural development under climate change in China and other countries.

Power of Digital Economy to Drive Urban-Rural Integration: Intrinsic Mechanism and Spatial Effect, from Perspective of Multidimensional Integration

The consensus that the digital economy drives urban-rural integration has been gradually reached both in practice and theory. Besides, the way by which the digital economy drives urban-rural integration remains updated iteratively. The coming period is an important opportunity to break down the dualistic urban-rural structure and improve the urban-rural integration development. It is also a critical stage for China to promote the deep integration of the digital economy and the real economy. In this study, the intrinsic mechanism of the digital economy in driving the four dimensions of urban-rural integration was elaborated. An analysis was made of the spatial effects in 30 provinces (municipalities and autonomous regions) of China during 2011-2019 using Bivariate Global Moran's I and geographically and temporally weighted regression (GTWR) models. As revealed by the results: (1) the digital economy and the four dimensions of urban-rural integration advance steadily, in which the convergence degree of urban and rural resident consumption is comparatively higher; (2) there is a significant spatial auto-correlation between the digital economy and the four dimensions of urban-rural integration, with the influence gradually strengthened with time; (3) the digital economy exerts mainly positive impacts on the equivalent allocation of urban and rural factors, integration of three industries in urban and rural areas, and convergence degree of urban and rural resident consumption, but inhibits the equalization of urban and rural public services in nearly half research areas; (4) both digital equipment basis and user basis play a vital role in promoting the four dimensions of urban-rural integration.

Evaluation and Determinants of the Digital Inclusive Financial Support Efficiency for Marine Carbon Sink Fisheries: Evidence from China

The development of digital inclusive finance has greatly improved the feasibility of financial inclusion. Therefore, in the context of the constrained financing of marine carbon sink fisheries, we try to investigate whether digital inclusive finance exhibits a supportive effect on marine carbon sink fisheries and thus enhances the capacity of marine carbon sinks. Specifically, this paper empirically calculates the grey correlation between the development of digital inclusive finance and marine carbon sinks based on data in nine coastal provinces of China from 2011 to 2019. The empirical results show that the grey relational coefficients between the above two in China are more than 0.5, revealing a significant positive correlation. Then, on this basis, we estimate the digital inclusive financial support efficiency (DIFSE) for marine carbon sink fisheries by applying the Super-EBM model. In addition, the determinants affecting the DIFSE for marine carbon sink fisheries selected based on the grounded theory are explored through the Tobit model. The conclusions are as follows. First, there are time-varying characteristics and regional heterogeneity in DIFSE. Generally, the effect of China's digital inclusive financial support for marine carbon sink fisheries is expanding year by year. Among them, the DIFSE in the northern marine economic circle is currently the highest, followed by that in the south and east. Second, the input of productive factors, promotion of fishery skill, development of fishery technology, and Internet coverage will significantly increase the value of DIFSE, while output structure, income level, fishery disasters, and marine pollution will have significant negative effects on DIFSE. These empirical results can help policymakers better understand the contribution of digital inclusive finance to marine carbon sink fisheries and provide them with valuable information for the formulation of supportive policies.

Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China

This paper attempts to reveal the impact and mechanisms of digital inclusive finance (DIF) on agricultural carbon emission performance (ACEP). Specifically, based on the provincial panel data in China from 2011 to 2020, a super slacks-based measure (Super SBM) model is applied to measure ACEP. The panel regression model and spatial regression model are used to empirically analyze the impact of DIF on ACEP and its mechanism. The results show that: (1) during the study period, China's ACEP exhibited a continuous growth trend, and began to accelerate after 2017. The high-value agglomeration areas of ACEP shifted from the Huang-Huai-Hai plain and the Pearl River Delta to the coastal regions and the Yellow River basin, the provincial differences displayed an increasing trend from 2011 to 2020. (2) DIF was found to have a significant positive impact on ACEP. The main manifestation is that the development of the coverage breadth and depth of use of DIF helps to improve the ACEP. (3) The positive impact of DIF on ACEP had a significant spatial spillover effect, that is, it had a positive effect on the improvement of ACEP in the surrounding provinces. These empirical results can help policymakers better understand the contribution of DIF to low-carbon agriculture, and provide them with valuable information for the formulation of supportive policies.