Report on getting rich--sample and statistic description (i)
Source: Internet
Author: User
KeywordsVenture
1. Sample and statistic Description The survey was carried out in 28 provinces, municipalities and autonomous regions nationwide, with a total of 3,215 successful samples, 94 copies of the same questionnaire and invalid questionnaires, and finally a total of 3,121 valid samples, covering north China, east China, Middle-south, northeast, northwest and Southwest regions. The object of this survey is the entrepreneur himself, who is or has ever had a business experience to prepare the entrepreneur is not the object of this survey. According to the regional economic differences and the active degree of local entrepreneurship, the paper adopts the method of grouping random sampling, using structured questionnaire and face-to-face interview, and ensures the scientific, accurate and effective of the questionnaire data by multi-channel supervision and review procedure. After all the questionnaires were collected, the survey was reviewed and coded, and the computer was entered using professional data software. 1.1 The basic information of enterprise Sample 1.1.1 Sample source distribution this time, the sample number ranked in the top five provinces and cities are Jiangsu province, Beijing, Shandong Province, Liaoning Province and Fujian province respectively. Each accounted for 9.48%, 7.21%, 5.67%, 5.06% and 5.03% of the total sample. Distribution area: North China includes: Beijing, Hebei, Inner Mongolia, Shanxi, Tianjin, east China include: Anhui, Fujian, Jiangsu, Jiangxi, Shandong, Shanghai, Zhejiang province, including: Guangdong, Guangxi, Henan, Hubei, northeastern Hunan, including: Heilongjiang, Jilin, Liaoning Northwest areas include: Gansu, Ningxia, Shaanxi, Xinjiang Southwest includes: Guizhou, Sichuan, Yunnan, Chongqing, the proportion of the total number of samples of the distribution map: 1.1.2 Survey of Regional survey of the six regions of population density and GDP per capita: the figure shows that the east and south-central areas of the population is relatively dense, the north-east region, the most sparse per capita Its economic development is good, Northwest and southwest economic development is relatively backward, the following figure is the provincial and municipal 2005 part of the economic indicators.
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