Green innovation is crucial for China, the “world’s factory”, to reduce the environmental impact of the high energy consumption and high emissions of heavily polluting industries. However, existing studies rarely investigate the emission-reduction effects of green innovation in heavily polluting industries in China. This study applies a dynamic panel model to explore how green innovation reduces pollutant emissions in these industries. Additionally, it examines the significant role of cost pressures in this process. The findings reveal three key insights: (1) Green innovation significantly reduces pollutant emission intensity in heavily polluting industries. However, cost pressures weaken the emission-reduction effects of green innovation. In contrast, efficiency-empowered advantages strengthen these effects. (2) Heterogeneity analysis reveals that the inhibitory effect of cost pressures primarily impacts small-scale and low-profit enterprises. This result highlights that the sensitivity of enterprises to costs is a key factor in reducing the effectiveness of green innovation. (3) Regional analysis indicates that cost pressures do not significantly affect the emission-reduction effects of green innovation in eastern and western enterprises. However, these pressures have a more pronounced inhibitory effect on central enterprises. This result could be due to increased competition for eligibility to receive industrial transfers from eastern coastal regions, which heightens the cost sensitivity of central enterprises. To address these challenges, this paper recommends improving the “cost-regulation matching mechanism” to resolve the paradox between green innovation and economic benefits, often referred to as the “weak Porter hypothesis”.

The implementation of green production policies (GPPs) is an important guarantee to improve the utilization of agricultural resources and adapt to climate change and plays an important role in supporting and guiding farmers. The overall goal of this study is to explore the mechanisms of the impacts of policy structure and implementation on the satisfaction of farmers with GPPs. Data analysis was based on 1180 observations collected from a field survey in Anhui Province, China, in 2021. The results revealed that the satisfaction of farmers with GPPs is not high. Policy structure affects the satisfaction of farmers with GPPs, and there are differences in the impacts of agricultural service, financial, technical, subsidy, and supervision policies. The results also showed that a positive evaluation of policy implementation by farmers can significantly improve their satisfaction with GPPs, and there are differences in the effectiveness of evaluating the support intensity, degree of promotion, policy sustainability, and implementation effect. Further analysis revealed that the impact of policy structure on the satisfaction of farmers with GPPs is transmitted through policy implementation evaluation. The impacts of policy structure and policy implementation on the satisfaction of farmers with GPPs are heterogeneous in terms of gender, age, and education. Finally, some policy recommendations are proposed to construct GPPs for farmers across the entire industrial chain, increase policy promotion efforts, ensure the sustainability of policy formulation and implementation, and consider farmers’ subjective evaluations of policy implementation effects. The results of this study and the related policy recommendations can provide support for the formulation and optimization of agricultural GPPs in China and other countries.

Ecosystem service valuation (ESV) provides a scientific basis for balancing ecological conservation and socioeconomic development. With the rapid progress of Earth observation technologies, remote sensing has become an essential tool for quantifying and mapping ecosystem services at multiple spatial and temporal scales. However, a comprehensive understanding of the global research landscape on ecosystem service valuation using remote sensing remains limited. In this study, this study conducted a bibliometric analysis of publications retrieved from the Web of Science Core Collection between 1990 and 2024. A total of 1172 articles were identified through a systematic search strategy integrating ecosystem service valuation and remote sensing keywords. The analysis employed performance indicators (e.g., publication output, citation trends, and core journals), collaboration networks (countries, institutions, and authors), and keyword co-occurrence to reveal research hotspots and emerging frontiers. The results show a steady growth of publications, with a significant surge after 2010 driven by the application of MODIS, Landsat, and Google Earth Engine in large-scale ESV studies. China, the United States, and several European countries play dominant roles in terms of both output and international collaboration. Research hotspots have shifted from conceptual frameworks and regional case studies to methodological innovations, such as spatial modeling, integration of remote sensing with ecosystem accounting frameworks, and applications in ecological security and sustainable development. This study highlights the increasing importance of remote sensing in advancing ecosystem service valuation and provides insights into future directions, including high-resolution monitoring, machine learning integration, and policy-oriented assessments.

Bamboo forests constitute a strategic resource within China's forest ecosystem, encompassing approximately 6.416 million hectares, which represents nearly 2\% of the total forested area. This paper presents a comprehensive review of bamboo forest management policies in China, tracing the evolution of macro-level policy frameworks, organizational structures, and incentive mechanisms from the 1950s to the present. The Chinese bamboo sector has transformed from a marginal forestry subsector into a nationally prioritized industry, with the total output value projected to exceed one trillion yuan by 2035. Key policy milestones, including the 2008 reform of collective forest rights, national bamboo industry development plans, and the 2021 establishment of the first bamboo carbon sink trading center, are analyzed within the context of China's dual carbon goals to peak emissions by 2030 and achieve carbon neutrality by 2060. Furthermore, the study examines structural challenges such as fragmented land tenure, low mechanization levels, and shortages of skilled personnel, while proposing policy recommendations to enhance sustainable bamboo forest management. These findings provide valuable implications for bamboo-producing regions at earlier stages of policy development, particularly in Africa and Latin America.