The green production transition in agriculture is all about the quality of agricultural products at the source of production. Whether the product quality certification can accelerate the green production transition in agriculture is an issue of concern. We have measured the degree of green production transition of kiwifruit growers using a finite mixture model in this paper, and use research data from the main kiwifruit production areas in Shaanxi and Sichuan provinces to verify the impact of conducting product quality certification on the green production transition of kiwifruit growers. Besides, we use a multi-valued treatment effects model to verify the differences in the degree of green production transition among kiwifruit growers in the face of different certification types. Our findings are mainly as follows: the degree of green production transition among kiwifruit growers is not high, with an average of only 36.3%. Product quality certification can significantly promote the green production transition of kiwifruit growers, and the promotion effect of different certification methods in green production transition of kiwifruit growers significantly varies. The promotion effect of organic certification is greater than that of green certification and pollution-free certification. Further, the mechanism test analysis reveals that product quality certification can influence the green production transition of kiwifruit growers through three mechanisms: quality monitoring, market premium, and market access threshold. Based on this, this paper proposes policy recommendations to advance quality certification and green production transition among kiwifruit growers to increase the certification, enhance the willingness to green transition, and boost the differentiated certification system.

The digital economy’s development has been significantly influenced by data, which have emerged as a new propelling force for the promotion of high-quality and environmentally friendly agricultural development. This paper employs panel data from 30 provinces in China, spanning from 2000 to 2022. We construct a multi-period difference-in-differences model to investigate the impact of data elements on agricultural green total factor productivity (AGTFP) by utilizing the launch of public data open platforms as a quasi-natural experiment. AGTFP is substantially improved by public data openness, as indicated by the findings. Cross-sectoral labor transfer and green technological innovation are critical pathways through which public data openness enhances AGTFP, according to the mechanism analysis. Furthermore, heterogeneity analysis indicates that the beneficial impact of public data openness on AGTFP is more pronounced in regions with high levels of environmental regulation and non-major grain-producing regions. The results of this study have significant policy implications for the evaluation of the economic impacts of data elements and the promotion of sustainable and environmentally friendly agricultural development.

Since the going-global approach of Chinese enterprises has accelerated, the host country’s foreign direct investments (FDI) restrictiveness index has dramatically influenced the upgrading of China’s trade structure. This study investigates the relationship between the host country’s FDI restrictiveness index and the export sophistication of the home country. Using two-way fixed-impact models and firm-based microcosmic data, it verifies the impacts of reverse technology spillover (RTS) by the intermediary model. The empirical outcomes illustrate that the host country’s FDI restrictiveness index significantly inhibits the export sophistication of the home country. In particular, overseas equity restrictions, selection and endorsement requirements, and additional operational limitations hold more substantial influence. However, the limits on key foreign experts have promoted the export sophistication of the home country. Seemingly, host countries’ FDI restrictiveness has inhibited export sophistication in the textile industry and the processing of the resource industry but promoted the same in the mechanical and electronic industries. Likewise, the host country’s FDI restrictiveness impacts the export sophistication of the home nation through resource allocation. Manufacturing enterprises increased export sophistication by guiding resource allocation, and export trade models were changed from the previous quantitative competition to quality competition.

Digital finance reshapes the logic of value creation and injects impetus into the enhancement of enterprise innovation ability. This paper uses A-share listed companies from the Shanghai and Shenzhen Stock Exchanges from 2011 to 2023 as the research sample to examine the effect of digital finance on enterprise innovation ability from the perspective of value co-creation. The research results indicate that digital finance significantly enhances enterprise innovation ability. In terms of the impact mechanism, digital finance improves enterprise innovation ability through four value co-creation models: customer economic value co-creation, customer social value co-creation, partner economic value co-creation, and partner social value co-creation. Heterogeneity analysis reveals that the effect of digital finance on enterprise innovation ability is more pronounced among enterprises subject to post-financial regulation, those with lower regional resource endowment, those with a higher level of data elements, and those in the manufacturing sector. This study contributes to the existing literature by deepening the understanding of the determinants and underlying mechanisms driving enterprise innovation ability. The findings provide reliable empirical evidence and policy insights to support digital finance in promoting the development of the real economy.