There are disagreements regarding the accuracy of estimation and spatial distribution of carbon emissions in China. It is of great significance to estimate a more detailed carbon emission inventory for China and analyze the carbon emission characteristics of different regions. This study comprehensively estimated carbon dioxide and methane emissions (and their spatial distributions) across eight carbon-emitting sectors in 360 prefecture-level cities in China in 2020. The results indicated that total carbon emissions in China amounted to 146.00 × 10⁸ t, with carbon dioxide and methane accounting for 95.87% and 4.13%, respectively. The industrial sector was the main source of carbon emissions, accounting for 75.42% of the total. The North China Plain, the Northeast Plain, and the Sichuan Basin were identified as the carbon emission hotspot areas with the most intensive carbon emission densities. Among the clustered four carbon emission zones based on carbon emission density and economic carbon intensity, the High Carbon Emission Density and High Economic Carbon Intensity zones accounted for 41.73% of total carbon emissions. To achieve carbon neutrality, it is essential to devise emission reduction strategies for specific areas by thoroughly considering spatially explicit variation at the prefecture level, with a focus on primary carbon-emitting cities and sectors.

China possesses abundant solar energy resources and remains heavily dependent on agriculture. The integration of photovoltaic (PV) power generation with agricultural production has emerged as a strategic pathway to advance China’s ecological transition and dual carbon goals. By 2023, PV power generation represented 21% of the nation’s total installed capacity. The cumulative capacity was projected to reach approximately 887 GW by 2024. The novelty of this study lies in offering a systematic and integrative review of PV agriculture in China. This paper used a combination of field research, case studies, policy analysis, and a comparative evaluation of diverse “PV+” development models. The findings reveal a pronounced spatial imbalance. Western China possesses 42% of the country’s solar energy resources, whereas the eastern provinces of Jiangsu, Zhejiang, and Anhui collectively comprise 37.8% of all PV agricultural projects. Three dominant “PV+” models are identified and categorized as follows: “PV + ecological restoration”, “PV + agriculture, forestry, animal husbandry, and fisheries,” and “PV + facility agriculture.” These models provide multiple benefits. They enhance land use efficiency, stimulate local economic development, and contribute to food security by expanding the supply of essential agricultural products. Based on these insights, the study highlights future priorities in technological innovation, ecological evaluation, intelligent equipment, digitalization, and region-specific policy support. Overall, this research fills a key gap in systematically and comprehensively describing the current development status of photovoltaic agriculture in China. It also offers transferable lessons for sustainable agriculture and global energy transitions.

Finding out the dynamics of soil organic carbon and inorganic carbon is paramount for sustaining terrestrial carbon cycling and climate change mitigation. From the 1980s to 2010s, substantial changes in land use, climate, and agricultural practices have occurred across North China. This study systematically quantified the stratified dynamics of soil carbon stocks (0–100 cm with 20 cm intervals) and their compositional shifts by using the geographically weighted regression kriging model. The model integrated soil sample data from provincial surveys across North China with key environmental covariates (e.g., elevation, precipitation, air temperature, and the vegetation index) to spatially predict and analyze vertical carbon stock changes. The results indicated that soil carbon stocks decreased considerably by 5.86 Gt in the one-meter soil profile from the 1980s to the 2010s. Significant losses in soil inorganic carbon stocks directly contributed to net soil carbon sources. These significant soil inorganic carbon losses of 7.03 Gt, originating primarily from losses of 7.35 Gt in deeper soil layers (20–100 cm), effectively offset increases of 1.17 Gt in soil organic carbon. About two-thirds of regions in North China have been categorized as carbon source regions. These are distributed for the most part in arid and semi-arid areas and the Qinghai–Tibet Plateau. The remaining one-third of regions have been classified as carbon sink regions which are primarily found in the Loess Plateau, the Huang–Huai–Hai Plain, the Middle-lower Yangtze Plain, and the Northeast China Plain. Significant losses in soil inorganic carbon stocks caused by strong carbon sources may undermine global measures aimed at enhancing terrestrial ecosystem carbon sequestration and fixation. Our results highlight the urgent need to account for vulnerable subsurface inorganic carbon pools in regional carbon sequestration strategies and climate models.