In an increasingly digital age, studying how the digital economy affects carbon emissions is important for China’s dual carbon goals. Based on the panel data of 30 provinces and regions in China from 2012 to 2020, the impact of the digital economy on carbon emissions in China and the mechanism of its effect are empirically analyzed. This study reveals that the digital economy has an inverted U-shaped impact on China’s carbon emissions. Initially, it promotes carbon emissions but later inhibits them. The carbon emission reduction effect is more significant after the digital economy reaches the inflection point of the inverted U-shape in the more economically developed regions. Energy structure and energy use efficiency are the two key factors through which the digital economy affects China’s carbon emissions. Among them, the digital economy shows an inverted U-shaped effect on energy structure, which is first positive and then negative, and a positive U-shaped effect on energy use efficiency, which is first negative and then positive. Based on the above findings, this paper suggests that: First, to achieve peak carbon and carbon neutrality, the digital economy needs to be strengthened and the foundations of the digital economy need to be consolidated. Second, the digital transformation of the energy sector should be accelerated, and digitalization should lead to the low-carbon energy transformation. Finally, in the process of developing the digital economy, attention should be paid to the rebound in energy consumption caused by a large number of basic digital facilities, and the low-carbon integration of the digital economy and traditional industries is of great significance in reducing carbon emissions.

The natural forest protection and restoration (NFPR) system is imperfect due to contradictions between the objectives of natural forest protection and the reality of situations, outdated cultivation concepts, conflicting interests among participating parties, and the lack of regulation guarantees and assessment criteria. These problems are not only common in China but also in international forest protection. As the NFPR system is more focused on the protection of natural forests, the level of natural forest restoration in China has been poor, with low natural forest quality and forest productivity. At the same time, the value of natural forest ecosystem services does not match the demand of farmers, forest management, and other multiple participating parties. As a result, except for the government, other multiple parties lack the intrinsic motivation to participate in NFPR, ultimately forming a sustainable management dilemma. Under the institutional analysis and development (IAD) framework, the objective of this research was to explore the influencing factors and outcomes of the participation of multiple parties in NFPR and to construct a multiple parties’ participation mechanism for solving this dilemma. This research found that among external variables, multiple parties’ characteristics, biophysical conditions, attributes of community, and rules-in-use jointly influence and constitute the driving mechanism of multiple parties’ participation in NFPR. The rules-in-use directly impact the participation action scenario and regulate the other three external variables. Various factors and mechanisms in NFPR interact in the action space and produce outcomes that create positive incentives for each external variable, thus promoting the whole mechanism to achieve a virtuous cycle of sustainable management. This study provides a theoretical contribution to understanding the behavior of multiple parties participating in NFPR.

The importance of sustainable innovation in the wood industry is growing, but there is a lack of comprehensive analysis of its evolution, regional differences, and patterns of convergence in China. Based on the panel data of 31 provinces in China from 2011 to 2021, the sustainable innovation index of the wood industry is measured by the projection pursuit method. On this basis, the kernel density estimation method and Dagum Gini coefficient are used to study the dynamic evolution trend, regional differences, and sources of the index, and the convergence characteristics are examined using the coefficient of variation method. The study shows that (1) China’s overall wood industry sustainable innovation index shows a decreasing trend from 2011 to 2021. (2) The differences in the four regions mainly come from inter-regional differences. (3) The index shows significant nonequilibrium characteristics and progressive evolution patterns, and the spatial agglomeration is significant. The magnitude of the index deviation from the average did not decrease over time for the northern and southwestern forest regions. (4) The wood industry sustainable innovation index of the four major forest regions has obviously converged to the same level; under the condition of considering multifactors differentiation, the growth rate of the index of the lower regions is significantly higher than that of the higher regions. The study concludes that current regional imbalances in sustainable innovation in China impede progress and equitable distribution of benefits in the wood industry, and that the impact of regional differences on the β-convergence of sustainable innovation varies according to specific regional characteristics and conditions. These findings provide important theoretical contributions and practical guidance for the development of targeted innovation strategies for the sustainable development of the wood industry, as well as for the promotion of balanced regional development.

Agricultural socialized services (ASS) play an important role in connecting smallholders with modern agriculture and in strengthening agricultural economic resilience (AER). Using panel data from 30 Chinese provinces for 2011–2022, this study applies two-way fixed-effects, mediation, and threshold models to examine the effect of ASS on AER and the associated mechanisms. The results show that: (1) ASS significantly enhances AER, and this finding remains robust after excluding municipalities and the COVID-19 period; (2) the positive effect of ASS is more pronounced in non-major grain-producing regions than in major grain-producing regions; (3) ASS strengthens AER by reducing agricultural product import dependence and expanding agricultural operation scale; and (4) agricultural industrial restructuring exhibits a threshold effect, with the effect of ASS becoming positive when the restructuring coefficient exceeds 0.0057. Based on these findings, this study recommends improving the agricultural socialized service system, strengthening domestic agricultural supply capacity, diversifying supply channels, promoting land transfer and moderate-scale operations, and aligning service policies with regional industrial restructuring.