| With the development of urbanization, China’s energy consumption increased yearby year. There is several phenomena become very prevalent, such as: low energyefficiency, high energy-intensity, environmental pollution and so on. In China, theenergy resource stock, energy consummation and economic development method aredifferent between provinces, cities and districts, and these differences make the gap ofenergy become larger. How to speed up the speed of energy intensity reducing inMidwest part of China and reduce regional differences have become hot topics ofresearch scholars.In my paper, the relevant data is based on the energy intensity values of30provinces and cities in China from year2000to year2012. I will demonstrate China’senergy intensity convergence from two aspects: Initially, I will study the developingtrends, changes and spatial distributions of total energy consummation and energyintensity globally and locally by using descriptive statistics. Secondly, I will analysisconvergence of provincial energy intensity in China by using space economic theoryand economic convergence theory of measurement. The convergence analysis includesthree aspects: Using intensity convergence test to analyze the standard deviation of theChinese regional energy; then using autocorrelation test to analyze the energy intensitygeographically; estimating the absolute β convergence of the energy intensity throughthe spatial econometric model. At the same time, I will introduce some other factors,such as: industrial structure, the level of investment, FDI, R&D expenditures, etc., andI will analyze how these factors affect the convergence of energy intensitygeographically.The results show that，first，the differences between regions of energy intensity arevery obvious, the level of energy intensity are increased from the southeast to northwest.Second, our provincial energy intensity showed strong spatial autocorrelation; Third,China’s provincial energy intensity performance of convergence, it means that the gapof energy intensity between regions gradually narrowing; there is no absolute βconvergence, the energy intensity of our country are not approaching the same level ofintensity; conditional β convergence is unstable, sharing after2006, energy intensity’sconvergence affected by regional economic conditions, similar areas in the economicenvironment convergent to the same level. Fourth, the estimated of partition segment proved that, the internal high, medium and low energy intensity areas are convergent todifferent level. It’s necessary to based to their own economic environment andgeographical location, make some policies to improve their energy efficient, reduceenergy intensity. Fifth， the increasing in fixed asset investment and FDI proportioncannot improve the energy efficiency level of high-intensity area obviously, while theycan significantly reduce the energy efficiency level of low-intensity regions. And R&Dexpenditure has weak effects on High intensity zone.Based on the analysis of this article, I would like to conclude with policysuggestions for reducing regional differences in energy intensity, and reducing energyintensity levels. For example, in order to achieve cooperation and collaboration betweenregions, policy development should be based on the overall situation; linkages anddifferences across regions should be fully considered, to achieve cooperation andcollaboration between regions. Local government should combine local resources,geographical location, and the surrounding environment, make the energy-savingpolices for their own development, adjust the industrial structure, promote technologicalinnovation and guide the flow of FDI and other funds to the energy-saving industry. Inaddition, encourage the eastern region to implement technical assistance to Mid-westernregions. |
