世界银行、联合国开发计划署全球环境基金等支持实施的气候智慧型农业示范项目，已在包括中国在内的多个国家启动。本研究项目从评价的视角，提出在“项目内-项目体-项目间”三个层次上进行评价，构建气候智慧型农业项目评价分析框架，并以世界银行在中国的示范项目为例进行实证研究。在遴选当地适宜的气候智慧型农业技术措施类别基础上，开展项目内技术措施类别优先序评价，拟定不同技术措施类别的优先序；开展项目体效率及影响因素重要性评价，采用SBM-DEA模型测度气候智慧型农业项目体效率，运用回归分析模型评价项目体效率不同影响因素的重要程度；开展项目间（或区域间）发展水平综合评价，选取多维评价指标综合评价气候智慧型农业项目间（或区域间）发展水平差异，并进行比较分析。本项目研究涉及多学科领域，体现自然科学与人文社会科学相融合的特点，对于促进农业绿色、低碳和可持续发展有着广泛的科学意义。

The climate-smart agriculture demonstration projects, supported by World Bank and the Global Environment Facility of United Nations Development Program, have been brought into force in many countries including China. This research project, from the perspective of the appraisal of climate-smart agriculture projects, proposes to evaluate in the three levels of "project inner - project itself- between projects”, sets up the framework of appraisal and analysis of climate-smart agriculture projects, and takes the World Bank demonstration projects in China as Example for empirical research. Based on selecting the appropriate types of climate-smart agricultural technical measures in the local area, it carries out the priority appraisal of technical measures within the project, and then formulates the priority of different technical measures categories; carries out appraisal of the importance of influencing factors on the project efficiency, which measures the efficiency of climate-smart agriculture project by SBM-DEA model, and evaluates the importance of different factors of project efficiency using regression analysis model; and carries out the comprehensive appraisal of the development level between projects (or between regions), which evaluates the developing differences between climate-smart agriculture projects (or between regions) by selecting multi-dimensional index, and does some comparative analysis at last. The research project involves multidisciplinary areas, which embodies the integration of natural sciences and humanities and social sciences and has broad scientific significance for promoting agricultural development along the path of green, low-carbon and sustainable.