research data for How productive service industry agglomeration affects regional economic resilience: empirical evidence from China

1. The data is sourced from the "China Statistical Yearbook", "China Urban Statistical Yearbook", "China Rural Statistical Yearbook", and provincial statistical yearbooks from 2003 to 2019. The data is based on 31 provincial-level administrative regions in China. In Tibet, due to some missing data, interpolation method is mainly used for data filling. According to the "Guiding Opinions of the State Council on Accelerating the Development of Productive Services to Promote Industrial Structure Adjustment and Upgrading" issued by the China Bureau of Statistics in 2014, the productive services industry is defined as five categories: "transportation industry, warehousing and postal and telecommunications industry, information transmission, computer services and software industry, finance industry, leasing and commercial services industry, scientific research, technical services, and geological exploration industry". 2. Regional Economic Resilience (ERE) is evaluated based on the dimensions of resilience and resilience proposed by Martin (2012), referring to commonly used indicators summarized in articles such as Li et al (2020) and Kumar (2022), and selecting 12 sub variables based on China's actual situation. The entropy method is used to calculate the comprehensive index. 3. Measurement of Diversified Agglomeration Level (DV) of Productive Services Industry (combes, 2000). 4. The Specialized Agglomeration of Productive Services (SSP) is measured using the approach of (combes, 2000). 5. Regional economic resilience (SERE) is measured using principal component analysis, and the selected sub variables are consistent with ERE. 6. The measurement of manufacturing agglomeration (MSP) adopts the approach of (combes, 2000).7. Human capital (HUM) refers to the number of higher education students/total population, openness (FDI) refers to foreign direct investment, technological innovation capability (TIN) refers to the number of patent authorizations (10000), and service industry productivity (SIP) refers to the value-added/employment of the service industry.