Abstract
Under the background of vigorously promoting the high-quality economic development model in China, this paper proposes a Dynamic Double Index model to evaluate the fiscal output quality of cities in the Pearl River Delta. The empirical results show that Shenzhen, Guangzhou are at a high quality level, while Zhuhai, Foshan, Huizhou, Zhongshan and Dongguan are at a low quality level. This empirical result is consistent with the fact that Shenzhen has industrial tax source advantages, Guangzhou has consumption tax source advantages, but Zhuhai, Foshan, Huizhou Zhongshan and Dongguan do not have advantages. At the same time, the consistency also proves that the Dynamic Double Index model has accurate measurement function and can be used as a powerful tool to deal with big data information problems.
Highlights
The report of the 19th National Congress of the Communist Party of China clearly pointed out that China's economy has changed from a stage of high-speed growth to a stage of high-quality development, and there is an urgent need to change the quality, efficiency and power of China's economic development
Based on the idea of dynamic programming, this paper extends the single framework of "strong efficiency frontier" to the "double frontier" framework of "strong efficiency frontier" and "weak efficiency frontier", and puts forward the Dynamic Double Indexes model (DDI), so as to realize the reasonable evaluation of department input-output problems from the two dimensions of "highest standard" and "lowest standard"
Shenzhen, Guangzhou and Zhuhai are classified as high efficiency groups, while Foshan, Huizhou, Zhongshan and Dongguan are classified as low efficiency groups
Summary
The report of the 19th National Congress of the Communist Party of China clearly pointed out that China's economy has changed from a stage of high-speed growth to a stage of high-quality development, and there is an urgent need to change the quality, efficiency and power of China's economic development. The research on high-quality measures mainly focuses on the wide application of two kinds of models: one is Stochastic Frontier Analysis (SFA) model (Aigner et al, 1977; Peter et al, 1981; Druska et al, 2004). This kind of model is widely used in the efficiency evaluation of economical field (Wang Pingping, 2019; Zhang Dayong et al, 2019; Zhu Fangfang, 2019). The innovation of this paper is to build a DDI model, which has the characteristics of clear economic significance and simple operation, and can accurately process all kinds of data information from different dimensions
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