Descriptive Study of 2013 China per Capita Wage in Logistics and Transportation Industry

This paper does a descriptive study on 2013 area level per capita wage in logistics and transportation industry data in China. The per capita wage value is found to have increased over 11 years with annual increasing rate 13.9%. However, China per capita value is still less than western countries. The spatial autocorrelations are found in the area per capita wage data, and area per capita wage data is found to be high correlated with area per capita GDP data and area per capita wage in employment.


Introduction
Recently years, China economic has attracted many researchers in the world. China's total GDP has ranked in the second in the world, and some economists predict that China's GDP will catch up United States' within 15 years. Over 30 years, China's total GDP have increased by more than 7% every year, and the logistics and transportation industry benefits a lot from the economic growth. There is a close link between the country's economic growth and the logistics and transportation industry growth. The development of logistics industry also can speed up the growth of China economic in the way of offering more job opportunities, boosting the country trading volume. For example, recently in China a lot of E-Commerce companies have made high growth in trading, and their successes is highly dependent on the development of Internet and logistics industry. On the other hand, the area total GDP should high correlated with its level of logistics and transportation industry. However, the developing level of logistics industry is not easily to assess, thus per capita wage in logistics and transportation industry are used in this paper as an important factor. This paper does a description study on China per capita wage in logistics and transportation industry. The data used in this paper are obtained from China Statistical Yearbook,

The Area per Capita Wage in Logistics and Transportation Industry of 2013
The area level per capita wage in logistics and transportation industry are shown in the  Figure 3, and it displays that for majority of areas their per capita wage are less than 64.997 China Yuan, which corresponds to the situation of a developing country.
The spatial distribution of area average area per capita wage in logistics industry is shown in Figure 4. It is easily found that the areas in the east coastline have high wage values but some areas in middle China have relative low wage values. In the map only Tianjin and Shanghai are in red color as they have values more than 77,000 China Yuan, but the areas (Hebei) around Tianjin has low wage values, while the areas around Shanghai (Jiangsu and Zhejiang) have high wage values. However, in all the spatial association can be generally found in the map.

The Correlation Between Area per Capita Wage in Logistics and Transportation Industry and per Capita GDP
In this section, the correlation between area per capita wage in logistics industry and per capita GDP data is investigated. These two indexes are both often reflected the area economic status. The area per capita wage in logistics industry in this paper is only for the people who are engaged in this industry, while the area per capita GDP is calculated by including all the people of this area. The scatter plot of China area per capita wage in logistics and transportation industry and area per capita GDP in 2013 are shown in Figure 5. Generally, the areas with large per capita wage have large per capita GDP values, and these two indexes display a high positive correlation. Several outliers are found in the bottom of the plot, for example, the areas of Guizhou and Qinghai which have high per capita wage value in industry but have relative low per capita GDP value.
The Pearson product-moment correlation coefficient are used to measure the correlation between these two indexes. For n observations with two variables X and Y, the Pearson correlation coefficient between them are defined as where and are the mean value for , , … , and , , … , respectively. The Pearson coefficient for these two variables is calculated as 0.76, which means a high correlation between China area per capita wage in logistics and transportation industry and area per capita GDP in 2013.

The Correlation Between Area per Capita Wage in Logistics and Transportation Industry and per Capita Wage in Employment
In this section, the correlation between area per capita wage in logistics industry and per capita wage in employment data is investigated. These two indexes are both the income indexes. The area per capita wage in logistics industry in this paper is only for the people who are engaged in this industry, while the area per capita wage in employment is calculated by including all the people in hired status. The scatter plot of these two indexes are shown in Figure 6. Generally, the areas with large per capita wage in logistics industry have large per capita wage in employment, and these two indexes display a high positive correlation. Almost none outliers are found in the plot.
The Pearson product-moment correlation coefficient are used to measure the correlation between these two indexes. The Pearson coefficient for these two variables is calculated as 0.81, which means a high correlation between these two indexes. It also shows that the correlation between two wage variable are higher than that between per capita wage in logistics and per capita GDP, which also can be observed from Figure 5 and 6.

Conclusion
This paper firstly makes a plot of 11 years' China per capita wage in logistics and transportation industry data, and the growth trend on per capita wage can be found in these years. The average annual increasing rate of 11 years is 13.9%, which is relative high comparing with other countries. Then a descriptive study was done on area per capita wage, and for majority of areas their per capita wages are found to be less than 70,000 China Yuan. A spatial association can be generally found in the area per capita distribution map, although some breaks are shown.
The correlation between area per capita wage in logistics and transportation industry and per capita GDP data are also investigated. Although several outliers are found in the scatter plot of these variables, the Pearson coefficient for these two variables is calculated as 0.76. While the Pearson coefficient between per capita wage in logistics industry and per capita wage in employment is calculated as 0.81, which shows that the correlation between two wage variable are higher than that between per capita wage in logistics and per capita GDP.