Analysis of spatiotemporal evolution and influencing factors of the carbon emission efficiency of China's agroforestry industry under dual carbon target
In order to achieve the carbon emission reduction objectives in agroforestry industry,it is imperative to decrease conventional resource inputs within these sectors,enhance production efficiency,and bolster carbon sequestration capabilities.The computation of carbon emission efficiency of agroforestry industry,along with the analysis of its crucial influencing factors,represent essential strides toward fulfilling dual carbon target.Grounded in the low-carbon economy theory,this paper employed the super-efficiency model and spatial Durbin model to evaluate the carbon emission efficiency of agroforestry industry across 31 provinces in China from 2000 to 2021.The research delved into the spatiotemporal fluctuations and influential elements within this realm.The research revealed that:(1)The mean carbon emission efficiency of agroforestry industry in the 31 provinces in China from 2000 to 2021 stood at 0.70,with an average yearly growth rate of 9.80%.(2)Innovations within agroforestry industry significantly restrained local carbon emission efficiency and prompted noteworthy cascading impacts on neighboring regions.(3)Augmenting the carbon sequestration capacity of agroforestry industry distinctly propelled the enhancement of their carbon emission efficiency.Furthermore,amplifications in the total value of forestry output and urbanization rates markedly bolstered the local carbon emission efficiency of agroforestry industry.The expansion of forestry land area and rural labor exerted substantial vacuum effects on the carbon emission efficiency of the agroforestry industry within surrounding areas,while urbanization rates yielded notable spill-over effects on the carbon emission efficiency of these sectors in neighboring regions.The scholarly contribution of this study lay in the introduction of innovation in agroforestry industry as a pivotal input factor and the examination of its impact on the carbon emission efficiency in these sectors,as well as the innovative use of the quantity of new plant variety patents applications as a metric to gauge the level of innovation in agroforestry industry.The policy implications encompassed establishing a robust monitoring and reporting framework for carbon emissions and sequestration in agroforestry industry,promoting innovation and R&D endeavors within these sectors,fortifying their carbon sequestration capabilities,and comprehensively integrating agricultural and forestry carbon sequestration into China's carbon emissions trading marketplace.
dual carbon targetcarbon emission efficiency of agroforestryR&D innovation in agroforestrycarbon sequestration in agroforestryspatial Durbin model