【摘要】 “双碳”战略的实施为统筹推进生态保护、环境治理和资源循环节约利用工作提供了新的目标，“双碳”目标下生态安全研究是学术界和社会关注的热点。本文选择能较为全面并契合实际地反映盐城市生态安全的指标，根据各指标对提升生态安全和减排降碳的贡献，确定其性质，利用PSR模型，对盐城市2013—2021年的生态安全进行评价，并利用障碍度模型对影响盐城市生态安全、阻碍“双碳”目标实现的主要障碍因子进行了诊断。结果表明：盐城市2013—2021年生态安全综合指数整体呈下降趋势，安全等级由2013—2016年的“临界安全”降为2017—2019年的“较不安全”，2020—2021年又缓慢上升到“临界安全”，未来五年将继续缓慢下降；需要加大提升生态安全的力度，降低主要障碍因子的障碍作用；城市化率、第一产业占GDP的比重、医院床位数、农业机械总动力、全社会民用私人汽车五个因子不仅障碍度总和较高，还呈上升趋势，成为近些年影响盐城市生态安全、阻碍“双碳”目标实现的主要障碍因子。更多还原

【Abstract】 The proposal and implementation of the “double carbon” strategy provides a new starting point for the coordinated promotion of ecological protection, environmental governance, and resource recycling and utilization of its preservation. In this study, indicators that reflect Yancheng’s ecological security in a more comprehensive manner and which fit reality were selected, and their properties were determined according to the contribution of each indicator to improving ecological security and reducing carbon emissions. The PSR model was used to evaluate the ecological security of Yancheng from 2013 to 2021, and the obstacle degree model was used. The main obstacles were identified that affect the ecological security of Yancheng City and hinder the realization of the "double carbon" goal. The results showed that,the overall ecological security index of Yancheng City from 2013 to 2021 had a downward trend, and the security level of Yancheng City decreased from “critical security” during 2013-2016 to “relatively unsafe” during 2017-2019, and then slowly rose to “critical security” during 2020-2021. Over the next five years, it will continue to decline slowly. Efforts must be strengthened to improve ecological security and reduce the roles of major obstacles. The urbanization rate, proportion of the primary industry in GDP, number of beds, and total power of agricultural machinery and civil private cars in society not only have a high obstacle degree but also an increasing trend. This has become the main obstacle affecting the ecological security of Yancheng City in recent years.更多还原