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DYNAMIC INTERACTION BETWEEN WATER RESOURCE USE AND ECONOMIC GROWTH IN HEBEI PROVINCE BASED ON VAR MODEL 
LI Li, ZHAO Lianrong, WEI Xiaofang, et al
Resources & Industries    2018, 20 (2): 26-32.   DOI: 10.13776/j.cnki.resourcesindustries.20180508.001
Abstract105)      PDF(pc) (3771KB)(169)       Save
Hebei province lacks water resource, about 1/11 of water resource per capita in China, resulting in a rising conflict between water shortage and economic growth. This paper, based on VAR model and Hebei's gross water use, industrial waste use, agricultural water use, GDP, agricultural added values and industrial added values during 2000-2015, uses stability test, co-integration test, Grander causality, pulse response and variance decomposition to analyze the interaction between water resource use and economic growth in Hebei province, with results showing a co\|integration between economic growth and gross water use, agricultural water use and industrial water use, and a one-way Granger causality between water resource use and economic growth. The cumulative pulse response of economic growth to gross water use is negative, and vise verse, that of agricultural added value to agricultural water use is positive, but agricultural water use to agricultural added value negative, both industrial added value to industrial water use and industrial water use to industrial added value negative. Except a higher contribution in agricultural added value to agricultural water use and industrial water use to industrial added value, economic growth has a less contribution to water use.  
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 INTERACTION BETWEEN INDUSTRIAL STRUCTURE UPGRADE AND EMPLOYMENT IN RESOURCES-BASED CITIES BASED ON PANEL VAR MODEL IN 52 RESOURCES-BASED CITIES
Wei Xiaofang, Zhao Lianrong, Li Li.
Resources & Industries    2017, 19 (5): 1-8.   DOI: 10.13776/j.cnki.resourcesindustries.20171106.005
Abstract369)      PDF(pc) (1592KB)(295)       Save
 This paper uses their panel data of China's 52 resources-based cities in 20002015 to analyze their industrial structure deviation degree and establishes VAR model, which is used to study stability test, co-integration test, Graner causality, impulse response and variance decomposition panel data between industrial structure upgrade coefficient and employment. Results show that their industrial structure deviation degrees vary among developing, mature, declining and renewing resources-based cities, of which the best coordinated resources-based city is declining city, followed by mature, renewing and developing cities. The coordination of resources-based cities falls behind the average. A dynamic relation between structural upgrade and employment varies with different types of resources-based cities. VAR mode result shows that industrial structure upgrades of all resources-based cities make little contribution to employment, but employment improvement will influence industrial structure upgrade.
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