Data you need to know about China: Research Report of China by Li Gan, Zhichao Yin, Nan Jia, Shu Xu, Shuang Ma, Lu Zheng

By Li Gan, Zhichao Yin, Nan Jia, Shu Xu, Shuang Ma, Lu Zheng

Since the start of the twenty first century, China has been experiencing a dramatically speedy financial improvement. what's the actual lifetime of chinese language humans like below China’s regular GDP speedy development? How wealthy are the wealthy and the way terrible are the bad? This publication presents first-hand info on criteria of residing in chinese language families, which can support to respond to the above questions.

  • The Survey and study middle for China loved ones Finance performed the 1st and basically nationally consultant survey on loved ones finance in China in 2011.
  • The China loved ones Finance Survey (CHFS) accumulated the micro-level details of chinese language families’ demographics, housing and monetary resources, debt and credits constraints, source of revenue and bills, social welfare and coverage, intergenerational move funds, employment and fee habits.
  • Readers will obtain a brilliant photo of wealth disparity, actual property industry advancements, social welfare prestige, family monetary behaviors and different monetary matters in today’s China.

The China family Finance Survey has a guiding importance for a pragmatic method adjustment and is usually an immense leap forward within the subject’s improvement at universities.
Li Daokui, Professor at Tsinghua University.

The China family Finance Survey (CHFS) is an in-house interview survey with a wide impact in China. The CHFS's pattern comprises either city and rural families, that is extremely important to the examine of the general loved ones finance of China. Hongbin Li, Economist, Professor of Tsinghua University.

Research record of China family Finance Survey•2012 bridges a massive hole within the loved ones finance box in China, and should have far-reaching educational and policy-making implications.
Liu Yuzhen, Professor at Peking University.

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    Only 43 rural households and 36 urban households were engaged in multiple industrial or commercial activities (Fig. 18). 48 3 Number of Households 300 Non-financial Assets 269 250 187 200 150 83 100 50 40 46 76 58 33 28 18 15 1111 35 43 1419 57 37 33 14 21 11 10 7 41 22 0 Types of Projects Rural Registered Households Urban Registered Households Fig. 19 The distribution of projects Most of the industrial or commercial activities in which households engage involve services. The largest activity category is wholesale and retail.

    However, a higher proportion of unmarried individuals live in rural areas than in cities. 7 shows a very large urban–rural difference in the sex ratio of those over 30 years old yet unmarried. 8 shows a larger proportion of unmarried males above 30 years old in rural than in urban areas. The opposite is true for females, and the proportion of unmarried females over 30 years old is higher in 2 24 Household Demographics and Work Characteristics Fig. 58 urban than rural areas. The difference in sex ratio between the urban and rural samples may partially explain this phenomenon.

    18). 48 3 Number of Households 300 Non-financial Assets 269 250 187 200 150 83 100 50 40 46 76 58 33 28 18 15 1111 35 43 1419 57 37 33 14 21 11 10 7 41 22 0 Types of Projects Rural Registered Households Urban Registered Households Fig. 19 The distribution of projects Most of the industrial or commercial activities in which households engage involve services. The largest activity category is wholesale and retail. e. 71 % of those engaged in industrial or commercial activities, are in wholesale and retail industries.

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