Abstract: Chongqing Municipality is an important agricultural development area, and a large number of agricultural inputs are used in agricultural production activities. Carbon emissions occur during the use of agricultural inputs. Analyzing the characteristics and influencing factors of carbon emissions of agricultural inputs in Chongqing is of great significance for green agricultural development and promoting the achievement of the "dual carbon" goals. Based on the Chongqing Statistical Yearbook and China Agricultural Yearbook for 2013-2022, the number of agricultural inputs, grain output, cultivated land area, sown area of grain crops, rural population and various GDP values of Chongqing were integrated, and the classical carbon emission calculation theory was used to study the carbon emission of inputs and its dynamic change in the process of agricultural production in Chongqing from 2013 to 2022. The logarithmic mean divisia index (LMDI) model and Tapio decoupling model were used to explore the influencing factors and decoupling effects of agricultural input carbon emissions, providing scientific support for agricultural input carbon reduction. The results showed that: (1) In the past 10 years, the number of agricultural inputs in Chongqing showed an increasing trend before 2015, and showed a decreasing trend after 2015. The total carbon emissions from agricultural inputs in Chongqing have fluctuated within the range of 452.01 to 482.70 million t CO₂-eq, and reached the lowest in 2021. Fertilizer and irrigation were the main sources of carbon emissions, accounting for 31.01% and 39.48% of carbon emissions respectively. (2) Compared with the base period, carbon emissions per unit sown area, unit output, unit output value and unit cultivated land area of Chongqing have all shown a downward trend, and the trend of carbon emissions per unit cultivated land area was basically consistent with that of carbon emissions per unit sowing area. (3) Both the changes of agricultural inputs and agricultural planting structure had an impact on agricultural carbon emissions. The input of agricultural inputs and planting structure affected carbon emissions, while factors such as agricultural production efficiency, regional industrial structure, and rural population had a positive effect on agricultural carbon reduction. The adjustment of agricultural industrial structure, regional economic development level and labor force level were the main reasons for the increase of carbon emissions in Chongqing. (4) The decoupling state between input carbon emissions from agricultural inputs and economic growth in Chongqing was mainly manifested as a transition from weak decoupling to strong decoupling. Agricultural economic growth has gradually got rid of the dependence on high carbon emissions, achieving relatively green development. The findings of this study provide recommendations for Chongqing’s decision-making on the carbon emissions reduction of agricultural inputs. The government should speed up the research and development of green agricultural technologies such as precision fertilization, water-saving irrigation and intelligent equipment, adjust the structure of the agricultural industry, and promote the development of organic agriculture and ecological agriculture. At the same time, farmers' environmental awareness and low-carbon production capacity should be improved. And exerting the inhibition effect of agricultural production efficiency, regional industrial structure and rural population scale on the carbon emissions of agricultural inputs in Chongqing.