The Chinese government is vigorously implementing the rural revitalization strategy and accelerating the process of new-type urbanization. The rapid development of the rural digital economy has emerged as a new driving force for new-type urbanization. This study aims to explore how the rural digital economy impacts China’s new-type urbanization from direct, heterogeneous, and indirect perspectives. Using the provincial-level panel data in China from 2014 to 2022, a mixed-methods approach is employed for the empirical research. The CRITIC and Entropy TOPSIS are used to assess the comprehensive development level and temporal characteristics of the rural digital economy and new-type urbanization. Moreover, a global-local auto-correlation analysis is carried out to depict the spatial distribution of the two variables. Subsequently, a two-way fixed effects model is constructed to verify the direct impact of the rural digital economy on new-type urbanization, as well as its structural and spatial heterogeneity characteristics. Finally, an mediating effect model is established to explore the impact paths through which the rural digital economy impacts new-type urbanization. The results show that the rural digital economy has significantly promoted new-type urbanization. Specifically, rural digital infrastructure, digital transformation of agriculture, agricultural production service informatization have a significant positive effect, while the role of rural life digitization is not significant. The rural digital economy has more significant positive impact on population agglomeration and economic growth, followed by social public service, but has no significant impact on ecological environmental protection and urban-rural coordination. Additionally, the qualitative analysis identifies geographical region, poverty, demographic structure and social equality as notable influencing factors in this impact. Further mechanism analysis result indicates that the rural digital economy impacts new-type urbanization through rural human capital improvement, agricultural economic growth and rural industrial structure upgrading. This research contributes to the existing body of knowledge by providing the practical path of rural development to promote new-type urbanization in the context of the digital economy, also clarifies the weak points and key links in this process. It also highlights the need for further research into the institutional factors that influence this relationship to enhances the policy applicability.

The purpose of this paper is to apply the Balanced Scorecard (BSC) concept to the sustainable performance evaluation of emerging family farms in Jilin, China. A sustainable performance evaluation system was constructed based on the BSC. A questionnaire survey was used with a sample of 156 emerging family farms involved in the production of planting (grain, horticultural crops) and breeding (animal products) enterprises in Jilin, China. The Analytic Hierarchy Process (AHP)-Fuzzy Comprehensive Evaluation method (FCE) was used for the sustainable performance evaluation by different BSC dimensions, farm types, and regions. This empirical study revealed that the BSC is applicable for the farm sustainable performance evaluation in the Chinese context. The key is selecting suitable indicators for the evaluation index system while considering the particularity of market, resources, management, and personnel. The sustainable performance of the investigated family farms is in the slightly above moderate level as a whole. Financial performance and market performance are above moderate, while internal business process performance is moderate, and learning and growth performance is below moderate. They are facing difficult challenges to upgrade in terms of marketing and financing channels, branding, and organic production. Industrial differences existed in the farms’ sustainable performance. Farms combining planting and breeding have better sustainability, which could be a signal for transformation of the traditional single planting or breeding modes in China. The internal business process performance of grain farms is significantly less, due possibly to long-term policy support and protection with less of an emphasis on ecological outcomes. Subtle regional differences in the overall sustainable performance of surveyed family farms suggest that farm performance depends more on management than on external environment.

As China’s agriculture transitions toward high-quality development, reconciling agricultural green transformation with improved farmers’ income quality has become critical. This study seeks to investigate the effects of agricultural green development on the quality of farmers’ income from three dimensions: direct impact, structural influence, and heterogeneous characteristics. Leveraging provincial panel data from China spanning the period 2011 to 2022, a mixed-methods research design is adopted to conduct empirical analysis. First, the entropy weight method is applied to evaluate the comprehensive development level of agricultural green development and the quality of farmers’ income, along with their respective temporal variation features. On this basis, a two-way fixed effects model is then constructed to examine three core issues: the overall impact of agricultural green development on farmers’ income quality, as well as the structural heterogeneity and spatial heterogeneity characteristics inherent in this impact relationship. The results show that agricultural green development has significantly promoted farmers’ income quality in China, with improved resource utilization efficiency and output quality being the core driving factors, while environmentally friendly practices exhibit a negative effect in the short term. Specifically, agricultural green development significantly enhances income adequacy and structure but has a short-term inhibitory effect on income growth, with no significant impact on knowledge-based income. Regional heterogeneity analysis shows the strongest positive effect in the western region, followed by the eastern region, a negative impact in the northeastern region, and an insignificant effect in the central region. The income-increasing effect of green development is more significant in regions with poor natural resource endowments and low fiscal support for agriculture but is weakened in regions with high market vitality. This study provides a theoretical and practical basis for formulating differentiated agricultural green development policies and improving farmers’ income quality. These findings enrich the theoretical interface between agricultural green transformation and rural income improvement and offer actionable, region-specific policy insights by clarifying the constraints, key links and heterogeneous effects involved.