从“八七”扶贫到两个农村扶贫开发纲要，中国的扶贫开发经历了从解决温饱到注重贫困地区教育、医疗、住房、基础设施、环境卫生各个方面的发展，显著提高了贫困人口的生活水平，促进了社会和谐和稳定。《中国农村扶贫开发纲要(2011-2020)》确定了14个集中连片贫困地区，其中甘孜藏族自治州18个县均属于集中连片特殊贫困县，位于四川，青海，甘肃，云南四省藏区。甘孜藏族自治州位于长江上游，是重要的生态屏障，同时也是少数民族聚居区，在国家生态安全和民族和谐中均具有重要的地位。通过分析甘孜藏族自治州生产、生活、生态状况的空间分布特征和时间变化趋势，可以为甘孜州生产、生活、生态三者之间的协调和谐发展提供政策参考，促进甘孜州稳定、可持续的脱贫。 本文通过对甘孜藏族自治州自然资源和社会经济状况的深入了解，依据现有生产-生活-生态相关理论，选取反映研究区生产、生活和生态状况的指标构建评价指标体系，并确定各指标基准值。采用熵权法为各指标赋权重，结合灰色关联方法得到2010年到2016年甘孜藏族自治州各县的生产-生活-生态评价指数。基于2010~2016年的生产-生活-生态综合评价指数，运用贝叶斯时空模型，分析甘孜州各县2010年到2016年生产-生活-生态变化状况相对于甘孜州全州整体水平变化情况的空间格局，甘孜州2010~2016年生产-生活-生态状况随时间变化的趋势，以及各县的发展趋势偏离整体发展趋势的程度。建立模型过程中考虑了邻近关系，即相邻县之间的关联更紧密。最后结合甘孜藏族自治州目前的扶贫开发进展，扶贫开发政策和项目，分析原因并提出建议。 本文通过分析研究得出以下主要结论：(1) 从2010年到2016年，甘孜州生产-生活-生态综合状况随时间呈缓慢的上升趋势。其中，生产状况整体呈缓慢的上升趋势，生活状况上升趋势十分明显，而生态状况却有明显的下降趋势。(2) 从2010年到2016年，甘孜州生产-生活-生态综合状况相对于全州总体水平发展趋势在空间上有明显的区域差异，北部地区整体发展状况相比较东部和南部地区较差。其中，生产和生活发展状况有明显的区域差异，北部地区落后于东部和南部地区，而生态发展状况无明显的南北差异。(3) 从2010年到2016年，部分县的生产-生活-生态发展状况与全州整体变化趋势相比有较快的增长趋势。其中，北部地区德格县和甘孜县的三生综合评价指数处于较低水平，但它们却有着比全州整体三生状况更快的发展趋势，有较大的发展潜力。

From the Seven-year Poverty Reduction Program to two outlines of poverty reduction in rural poor areas, China’s poverty reduction and development has experienced from satisfying the food and clothing to coordinating the development of education, medical, housing, infrastructure and environmental hygiene, which have been improving the living standard of rural residents and promoting social harmony and stability. The issued The Outline for Development-oriented Poverty Reduction for China’s Rural Areas (2011-2020) has delimitated 14 continuous poverty-stricken areas, and the 18 counties of Ganzi Tibetan Autonomous Prefecture are all located in the Tibetan area of Sichuan, Qinghai, Gansu and Yunnan, which is one of the continuous poverty-stricken areas. The Ganzi Tibetan Autonomous Prefecture is located in the upper Yangtze River, which is an important ecological barrier. Meanwhile, the Ganzi Tibetan Autonomous Prefecture is an ethnic area, which made this area play an important role both in national ecological security and national harmony. According to analyzing the spatial pattern and changing trend of production-living-ecology in Ganzi Tibetan Autonomous Prefecture could provide a policy reference of the coordinated development of production-living-ecology, promoting the stable and sustainable eliminating poverty in Ganzi Tibetan Autonomous Prefecture. In this article, we learned a lot about the natural resources and socio-economic conditions in Ganzi Tibetan Autonomous Prefecture first. And then according to the existing researches about production-living-ecology, we selected the indices that could reflect the production-living-ecology conditions of study areas to construct the index system, and meanwhile determined the reference value for each index. Using entropy weighting methods to determine the weights of each index, and then using gray relational methods to calculate the production-living-ecology evaluation indices for each county from 2010 to 2016. Subsequently, based on evaluation indices from 2010 to 2016 which have been calculated above, using the Bayesian spatial-temporal model to analyze the spatial patterns of production-living-ecology conditions compared to overall conditions, the overall changes over time and the deviates from overall development trend for each county. During the construction of Bayesian spatial-temporal model, we considered the adjacent relation of each county that is the adjacent counties has stronger correlation. Finally, combing the current development of poverty reduction, poverty reduction policies and projects in Ganzi Tibetan Autonomous Prefecture to analyze the reasons and give suggestions. Through this analysis we draw the conclusions as follows: (1) From 2010 to 2016, the overall production-living-ecology condition changing over time in Ganzi Tibetan Autonomous Prefecture has shown a slow increasing trend. While the production condition had slow increasing trend and the living standard had significant increasing trend, the ecological condition had obvious decreasing trend. (2) From the 2010 to 2016, compared to overall production-living-ecology condition in Ganzi Tibetan Autonomous Prefecture, the development of production-living-ecology has shown a significant regional differences spatial pattern. The northern region was lagged behind the eastern and southern regions. While the development of living standard and production condition has shown obviously regional differences, the ecology condition has no such spatial pattern. (3) From 2010 to 2016, compared to the overall development of production-living-ecology in Ganzi Tibetan Autonomous Prefecture, some counties showed a higher development speed than overall development trend. Among them, the evaluation indices of the production-living-ecology in Dege County and Ganzi County in the northern Ganzi was at a lower level, but they have shown a faster development trend than the overall trend of Ganzi Tibetan Autonomous Prefecture, and have great potential of development.