The global economic downturn and the new normal status of China’s economy have revealed that the Northeastern region of the country is facing challenges due to poor adaptability and weak regional economic resilience. In regard to the regional cities of China’s municipal-administered county system and from the perspective of the relationship between the economic resilience of the central-cities and the outer-suburbs, it is helpful to explore the characteristics of the regional economic resilience in Northeast China from 2007 to 2018. We find that: (1) The economic resilience of the central-cities and outer-suburbs in Northeast China has deteriorated. Compared with the central-cities, the economic resilience of outer-suburbs has weakened even more. (2) The types of regional economic resilience of the central-cities and outer-suburbs of Northeast China have diversified and weakened. The main types of economic resilience have changed from city-prospered-suburb-prospered and city-balanced-suburb-prospered to city-balanced-suburb-balanced and city-declined-suburb-declined. There are differences in the types of municipal economic resilience that are affected by changes in the economic resilience levels of central-cities and outer-suburbs. (3) It is further confirmed that the industrial structure has an important influence on the resilience of the regional economy. The economic resilience of the outer-suburbs in the Northeast China appear to be more vulnerable and more heavily influenced by changes in the proportion of the secondary industry than the central-cities.

This paper examines the spatial spillover effects of public transportation infrastructure on regional economy in Northeast China, the “rust belt” region in China. The dataset consists of socioeconomic data from 47 cities in the area during the period of year 2005 through 2015. Accessibility is used as an explanatory variable to reflect the influence of infrastructure on economic development. In order to avoid the endogenous, queen contiguity matrix is used to define the spatial weight matrix. In the paper, the dynamic panel data model is also used to explore the effects of high‐speed railways in the whole study area and attempted to confirm the spatial differences among Heilongjiang Province, Jilin Province, and Liaoning Province. The results show that the high‐speed railways increase the cities’ connection in terms of accessibility, and a significant positive spillover effect exists after the construction of high‐speed railways (HSR), indicating the extensive economic benefits of HSR construction, despite of the overall economic difficulty experienced by this region.

当今新型能源体系建设，促使富集传统能源与新能源的资源型地区，将技术创新作为区域能源产业转型升级的关键，但既有研究缺乏传统能源与新能源产业技术创新时空演化的比较。论文以兼顾石油产业和风电产业的吉林西部为例，从产业链分工角度，分析两类能源产业技术创新产出、集聚格局以及空间联系特征，探究技术创新的时空演化路径及其差异。研究发现：① 石油产业技术创新活动集中在上游勘探开采环节，创新密度呈递减趋势，空间集聚呈现出原油产区的“单核”极化。其中，技术合作占比呈倒“U”型，合作重心呈“域内—域外”交替变化，域内合作围绕石油资源密集的宁江区展开，域外合作从东北三省逐步向南拓展。② 风电产业技术创新活动突破单一产业链环节，创新密度持续增长，集聚格局向风能分布区“多核”演变。其中，技术合作以域外联系为主并稳步增强，域外合作主要涉及东北地区的长春市以及京津冀、长三角、成渝等地区，域内联系中松原市和白城市的竞争关系始终强于合作。③ 石油与风电产业技术创新的时空演化路径受多要素共同作用，且表现不同。石油产业倾向于“内生型驱动”，而风电产业为“外源支撑型驱动”。基于研究结论，论文就吉林西部地区两类产业技术创新提出了差异化指导建议，以期为该类资源型地区能源产业绿色转型提供参考和借鉴。