Asymmetric impact of Agriculture Ecosystem on Corban Dioxide emission evidence from China: Using Asymmetric and Non-linear Approach

Abstract The worldwide ecology has recently changed substantially due to rising carbon dioxide emissions. As a result, concerns about climate change, global warming, and environmental damage have surfaced. Humans, as well as the agricultural ecosystem, are presumably the most sensitive to these concerns. The study focuses on the link between the China's agricultural ecology and carbon dioxide emissions in this context. Annual time-series data from 1961 to 2019 were used in this investigation. Modern approaches such as Johansen, NARDL, and asymmetric and symmetric Granger causality, for example, were used. According to the Johansen test and the NARDL model, carbon dioxide emissions and agricultural ecosystems are co-integrated. According to the NARDL model, a 1% rise in Agriculture GDP, Animal heads, and Cereal crop harvested use will increase carbon dioxide emissions by 0.254, 0.82, and 5.38 percent, respectively, in the short run. The residual diagnostics assessments advise that the NARDL model is stable, reliable, and credible in the present form. The symmetric granger causality results reveal a unidirectional causality between carbon dioxide and agriculture GDP, rural populations, and pesticide imports. However, the granger causality of corban dioxide emissions with agricultural land use is symmetrically bidirectional. As a result, it is recommended that the government take proactive measures to limit the danger of environmental pollution and degradation by implementing coordinated tactics, notably crop management and pesticide imported into the country.