PROGRESS IN GEOGRAPHY ›› 2019, Vol. 38 ›› Issue (4): 546-555.doi: 10.18306/dlkxjz.2019.04.007

• Articles • Previous Articles     Next Articles

Spatiotemporal distribution of capital stock exposure of 17 sectors for individual provinces in China

Li LIU1,2(), Ning LI1,2,*(), Zhengtao ZHANG1,2, Jieling FENG1,2, Xi CHEN1,2, Kou BAI1,2, Chengfang HUANG1,2   

  1. 1. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
    2. Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • Received:2018-06-07 Revised:2019-01-20 Online:2019-04-28 Published:2019-04-28
  • Contact: Ning LI;
  • Supported by:
    National Key Research and Development Program of China, No. 2016YFA0602403;National Natural Science Foundation of China, No. 41505134;Beijing Municipal Natural Science Foundation, No. 9172010.


As the intensity and frequency of natural hazard-induced disasters and human and asset exposure increase, the losses caused by these disasters have become increasingly serious. It is particularly important to estimate the capital stock, which is an indicator of economic exposure, in the assessment of disaster losses. At present, time series data of capital stock by economic sectors at the provincial scale in China are largely unavailable. Thus, this study used the perpetual inventory method to establish a capital stock database of 17 sectors for individual provinces in China from 2003 to 2015. The conclusions are as follows: Interannual changes of the total capital stock and direct losses of disasters nationwide both showed an increasing trend. At the provincial scale, the correlation analysis shows that there was a significant positive correlation between them (r= 0.3) at the 99% confidence level. The capital stock of 17 sectors for individual provinces also showed an increasing trend, but the growth rate was different. Among the provinces with the fastest growth rates in the 17 sectors, the growth rate of resident services, repair and other services in Heilongjiang Province was the fastest, which increased 454.3 times. This is followed by leasing and business services in Qinghai Province (398.3 times), finance in Jiangsu Province (295.1 times), and scientific research, technical services and geological exploration in Anhui Province (125.1 times). The top four sectors with the highest capital stock in the 17 sectors in 2015 were real estate; industry; transport, storage and post; and water conservancy, environment and public facilities management, and together their proportion was above 60%. The provinces with the most capital stock in these four sectors were Jiangsu and Guangdong. The study results are helpful for further understanding exposure of capital stock in individual provinces and various sectors from a temporal and spatial perspective, and providing important references for disaster prevention and mitigation work of provincial disaster risk managers.

Key words: provincial scale, 17 sectors, capital stock, economic exposure, disaster loss, China