Abstract
Using the monthly Producer Price Index (PPI) of 37 different industries in China from 2007 to 2017, this study established a Markov regime -switching model to analyze the regime differences and industry heterogeneity of the transmission of volatility from energy price to PPI. The results showed that volatility in energy prices within a given regime has a relatively high “inertia”. Regardless of being in a high- or low-volatility regime, volatility in energy prices was found to have a positive transmission effect on the PPI. In addition, the transmission coefficients of the low-volatility regime tended to be higher than the transmission coefficients of the high-volatility regime. Further analysis revealed that the impact of the volatility in energy prices on the PPI of factors of production was significantly greater than the impact on the PPI of consumer products. Furthermore, in terms of industry heterogeneity, the transmission coefficients of energy and resource industries were found to be the greatest, followed by energy- and resource-intensive industries, and labor-intensive industries; the transmission coefficients of technology- and capital-intensive industries were the lowest.
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