The effect of increasing exports on industrial energy intensity in China

Zheng, Yingmei; Qi, Jianhong; Chen, Xiaoliang

doi:10.1016/j.enpol.2011.02.038

Cited by 124 publications

(44 citation statements)

References 25 publications

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“…A significant impact of rising energy price on the declining of energy intensity was observed by Hang and Tu (2007) and Wu (2012), but not by Yuxiang and Chen (2010). In addition, the positive impact of export on overall energy intensity suggested by Zheng et al (2011) is challenged by the evidence provided by Yu (2012) who reported that an independent effect of export on energy intensity. From the previous literature, we see that though the topic on identifying the driving forces of changing China's energy intensity has attracted a large amount of research efforts, there are still two main shortcomings.…”

Section: Tablementioning

confidence: 71%

Provincial energy intensity in China: The role of urbanization

Yan

2015

Energy Policy

106

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Section: Tablementioning

confidence: 71%

Provincial energy intensity in China: The role of urbanization

Yan

2015

Energy Policy

106

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“…A great deal of foreign investment flowing into China has resulted in significant technology spillovers and direct technological transfer, leading to a decline in energy intensity. Zheng et al [40] confirm that FDI can reduce energy intensity of China. We also expect such a similar conclusion.…”

Section: Foreign Direct Investment (Fdi)mentioning

confidence: 97%

China’s Energy Intensity, Determinants and Spatial Effects

Jiang

Ji²

2016

Sustainability

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Abstract:In the shadow of the energy crisis and environmental degradation, energy intensity is a hot topic in academic circles in China. The energy intensity distribution map of China indicates the fairly large geographic disparities globally and clustering locally in some areas, ascending from the southeast regions to the northwest provinces. Although energy intensity and its determinants vary from place to place, few studies have been made from the spatial perspective. Determinates of energy intensity and spatial spillover effects should be taken into consideration. Controlling for seven exogenous variables (per capita GDP; the share of the secondary sector; foreign direct investment; international trade, energy price, the share of coal, and transport sector) and their spatial lags, we apply a spatial Durbin model to test for spatial spillover effects among energy intensity and exogenous variables from a panel of 29 Chinese provinces over 1998 to 2014. We find that per capita GDP has an insignificant and negative direct and indirect effect, but has a significant and negative total effect on energy intensity. The share of the secondary sector and the share of coal are found to have significant and positive direct and indirect effects on energy intensity. Foreign Direct Investment (FDI) and Trade have significant and negative direct and indirect effects on energy intensity. The direct effect of energy price is found to be significantly positive while the indirect effect is negative. Only the direct effect of the Transport variable is significant and positive. The results of this study offer some theoretical evidence for differential localized policy making related to reduction in energy intensity.

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“…China has become one of the world's largest hosts of FDI inflows. Zheng, Qi, and Chen (2011) argue that FDI has reduced energy intensity in China because the large quantities of foreign investment flowing into the country have resulted in the installment of energy efficient technologies and significant technology spillovers. FDI, measured in US dollars, is converted into Renminbi (RMB) by means of the average exchange rate for each year.…”

Section: Foreign Direct Investment (Fdi)mentioning

confidence: 99%