Study On The Impacts Of Exports On The Municipal TFP Of Industrial Enterpises

Changes in TFP are generally attributed to changes of the country’s imports and FDI in existing literature, while especially research in the relationship about the export and TFP is little. In fact, exports can be able to form a strong national productivity technology spillover effect through the "learning effect", "competition effect", "scale", "improvement effect of financial constraints" and so on. China is indeed a big world factory presently, but with the constraints of the gradual decay of the demographic dividend, the resource and environment, the Chinese cost advantage gradually disappeared in the international community. "High input, high consumption, high pollution and low quality, low efficiency" model of economic development has been difficult to sustain; China cannot continue to support the move to high-income countries. As such, a comprehensive research in depth is of significance in theory and practice into the impact of export on the prefecture-level city’s industrial enterprises TFP.Firstly, the author integrated and combined the related literature, then reviewed the literature. Secondly, the author summarized the micro and macro mechanism of impact on TFP of export through the relevant theory and literature. The cores of the microscopic mechanism are technology spillovers, human capital effects and improved financing constraints. Key elements of the macro mechanism are through the economies of scale of export, resource reallocation effects and effects of market competition. After this, the author use Malmquist index of DEA to measure industrial enterprises TFP in 53 prefecture-level cities of Yangtze River delta, then test its spatial autocorrelation by the use of exploratory spatial data analysis(ESDA). After that found prefecture-level city’s industrial enterprises TFP presents geospatial distribution on clusters, there is a significant spatial autocorrelation effects. Taking into account the significant spatial autocorrelation effects which can lead to failure of traditional regression results, the paper followed use the latest developed spatial econometric methods to make an empirical analysis about the relationship between export and prefecture-level city’s industrial enterprises TFP. The results show that:(1) exports promote the prefecture-level city’s industrial enterprises TFP significantly. The level of information, import, FDI, human capital and other control variables but transport infrastructure, both make the similar promoting effect; the impact of exports on TFP is the biggest.(2) Influenced by the impact of inter-regional cooperation, liberalization of mobile elements and other factors, the prefecture-level city’s industrial enterprises TFP is affected not only by its own economic activity, but also affected the neighboring urban areas’ economic activity in a greater extent.(3) In the sub-regional regression analysis, exports, human capital, the level of information variables’ influence is bigger in Jiangsu, Zhejiang and Shanghai than Anhui and Jiangxi area. Import trade and transport infrastructure variables’ influence is obvious in Anhui and Jiangxi region. The spatial autocorrelation of prefecture-level city’s industrial enterprises TFP in eastern coastal area is higher. Finally, the author gives out a number of policy recommendations to promote the growth of total factor productivity which will make a great significance in our country’s sustainable development economic growth.