The Empirical Analysis on the Influential Factors of Urbanization in Hubei Province Based on the Panel Data

2015 ◽  
Author(s):  
Yu Qing ◽  
Wu Xiaoyuan ◽  
Yuan Meng ◽  
Xiong Qian ◽  
Jin Shengping
Keyword(s):  
Panel Data ◽  
Empirical Analysis ◽  
Hubei Province ◽  
Influential Factors ◽  
The Empirical Analysis

Causes of China's Low Consumption from the Perspective of Local Governmental Competition

2020 ◽  
Vol 13 (1) ◽  
pp. 15-31
Author(s):  
Yaling Zhu ◽  
Huifang Zhang
Keyword(s):  
Panel Data ◽  
General Equilibrium ◽  
Public Goods ◽  
Mathematical Models ◽  
Empirical Analysis ◽  
Local Governments ◽  
Household Consumption ◽  
Total Consumption ◽  
The Government ◽  
The Empirical Analysis

Taking into account the three-sector general equilibrium perspective of the government, business, and household sectors and taking government public goods investment as intermediary; this article builds mathematical models of local governmental competition and three-sector consumption. It also theoretically analyzes the impacting path of local governmental competition, causing increased investment in public goods, thereby reducing consumption. At the same time, based on the model of China's provincial panel data from 1993 to 2015, the empirical analysis shows that a 1% increase in the level of competition among local governments will result in a corresponding decrease of 0.757% in total consumption, 0.348% in governmental competition, 0.340% in business consumption and 0.366% in household consumption. Local governmental competition leads to the government's tendency to invest in public goods and reduces the regional consumption, which especially damages the consumption capacity of the household sector.

scholarly journals Effects of model specification, short-run, and long-run inefficiency: an empirical analysis of stochastic frontier models

2018 ◽  
Vol 64 (No. 11) ◽  
pp. 508-516 ◽  
Author(s):  
Habtamu ALEM
Keyword(s):  
Panel Data ◽  
Empirical Analysis ◽  
Crop Production ◽  
Stochastic Frontier ◽  
Model Specification ◽  
Panel Data Models ◽  
Long Run ◽  
Multiple Input ◽  
Short Run ◽  
The Empirical Analysis

This paper examines the recent advances in stochastic frontier (SF) models and its implications for the performance of Norwegian crop-producing farms. In contrast to the previous studies, we used a cost function in multiple input-output frameworks to estimate both long-run (persistent) and short-run (transient) inefficiency. The empirical analysis is based on unbalanced farm-level panel data for 1991–2013 with 3 885 observations from 455 Norwegian farms specialising in crop production. We estimated seven SF panel data models grouped into four categories regarding the assumptions used to the nature of inefficiency. The estimated cost efficiency scores varied from 53–95%, showing that the results are sensitive to how the inefficiency is modeled and interpreted.

Tourism and poverty reduction: Empirical evidence from China

2019 ◽  
Vol 26 (2) ◽  
pp. 233-256 ◽  
Author(s):  
Lei Zhao ◽  
Xin Xia
Keyword(s):  
Panel Data ◽  
Empirical Evidence ◽  
Empirical Analysis ◽  
Poverty Reduction ◽  
The Poor ◽  
Reduction Effect ◽  
The Relationship ◽  
The Empirical Analysis ◽  
Positive Effect ◽  
Distribution Of Income

This study empirically examines whether tourism affects poverty reduction based on the panel data of Chinese provinces for the period from 1999 to 2014. Using more comprehensive Foster–Greer–Thorbecke index to decompose poverty into three indices, namely, headcount ratio, poverty gap, and poverty severity, we investigate the relationship between tourism and poverty indices within a single framework. The empirical analysis indicates that tourism has a positive effect on poverty reduction and the concomitant inequality in the distribution of income among the poor could weaken the poverty reduction effect of tourism. China’s western provinces confirm a stronger relationship between tourism and poverty reduction, although the effect of tourism on poverty in the eastern provinces is nearly negligible. We also identify possible mechanisms by which tourism may have an impact on poverty. The results provide empirical evidence to provide an improved assessment of the pro-poor effect of tourism in China.

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