Surveying the quality and quantity of carbon stock in litter layer and woody debris of Eucalyptus and Acacia plantations is critical in understanding their carbon pools. Here, the focus of the present study was on a number of Eucalyptus and Acacia plantations of different stand aged in the Pearl River Delta region of southern China. The plantation type proved to be a crucial driver of the carbon concentration in litter layer and woody debris, with Acacia exhibiting a superior ability to Eucalyptus to accumulate carbon with stand age in both these materials. The relative contribution of the litter layer and woody debris to the carbon stock of the ecosystem was also significantly higher under mature Acacia (8% and 7%, respectively) than that under mature Eucalyptus (4% and 1%, respectively). Most of the carbon stock within the litter layer was present in the leaf debris. The carbon stock in woody debris was mainly contained in the components within the 10–20 cm diameter class during the primary decay stage, represented as snags in middle-aged and mature Acacia, and as logs for mature Eucalyptus, respectively. The results indicate that both plantation type and stand age influence the characteristics of carbon stored in litter layer and woody debris significantly.

Driven by the principles of green consumption and social responsibility, more companies are making strategic green investments by adopting blockchain technology to achieve sustainable development goals. However, in the real market, upstream manufacturers often tend to be overconfident. This can have a significant impact on decision-making processes and even influence other members within the sustainable supply chain. This paper investigates the influence of blockchain technology on investment decisions in sustainable supply chains for a manufacturer exhibiting overconfidence. We construct a supply chain with an overconfident manufacturer and a rational retailer and discuss the performance of supply chains by comparing two scenarios: without blockchain and with blockchain. First, we find that overconfident manufacturer can only benefit from blockchain adoption if the actual operating cost is below this threshold. Then, the maximum adoption cost acceptable to manufacturer increases with the carbon tax rate and the consumers’ green sensitivity coefficient. Furthermore, with blockchain, manufacturer is likely to make more profit as the level of overconfidence increases compared to the case without blockchain. We also found that the retailer benefits from adopting blockchain technology only when the manufacturer’s overconfidence is at a low level. Otherwise, only when the blockchain operating cost is less than a certain threshold can the retailer increase their revenue. Finally, we find that when the level of overconfidence increases, blockchain adoption can boost consumer surplus and social welfare.

With the decisive results of poverty alleviation in China, figuring out how to consolidate the results and transform them into the driving force of rural revitalization is an important adjustment for rural revitalization and high-quality development. The efficiency of policy implementation as well as the sustainable development of the areas out of poverty are both reflected in rural households’ satisfaction with the ex-suit poverty alleviation policy for relocation. Based on survey data collected from 293 households in County M, Sichuan Province, this paper selects 23 indicators of satisfaction with post-relocation support policies from livelihood capital, political trust, policy participation, and public service perception. On this basis, we use the multinomial logistic model to analyze the impact of each influencing factor on the post-relocation support policy’s satisfaction degree for rural households. The results show that the satisfaction degree of relocated households with post-relocation support policies is upper-middle. Among the livelihood capital of relocated households, the proportion of non-agricultural income, cultivated land area, infrastructure conditions, number of family workers, and number of civil servants are all factors that positively affect policy satisfaction. In addition, with regard to relocating households’ engagement in political trust, policy participation, and public service perception, it should be pointed out that policy results trust, policy understanding, opinions expressed, local government, back-up personnel, policy process, and support funds all have appreciably positive effects on policy satisfaction. These evaluation results can serve as a reference for the revision of post-relocation support policies in China and other developing countries.

This study evaluates how environmental regulation influences enterprise management practices in the YREB of China, which faces a dilemma between economic growth and ecological conservation. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines, a qualitative systematic review of empirical studies published between 2015 and 2025 was conducted. The data were retrieved via Web of Science and Scopus, supplemented by Google Scholar and ScienceDirect. Subsequently, thematic analysis and data visualization were conducted by MAXQDA 2024. The findings synthesize evidence across key themes, environmental information disclosure (EID), green innovation, governance adaptation, and regional disparity themes to synthesize key empirical findings. From the perspectives of Institutional Theory and Stakeholder Theory, the findings suggest that environmental regulation is not only a compliance burden, but also a force for enterprise change, driving EID practices and innovation-oriented competitive advantages. The results further suggest that when institutions are more developed or policy implementation is more stable, enterprises are better able to adjust, implying that downstream regions are more flexible than upstream regions. Other instruments to close the implementation gap and support sustainable development are multi-level governance, context-specific policy instruments, and Integrated Water Resource Management. Also, it may be highlighted that effectiveness in environmental governance relies on governance quality, institutional capacities, and regionally differentiated aspects. Future research should better identify causal mechanisms and improve cross-region learning to improve equitable and effective environmental governance in China’s evolving socio-ecological context.