China’s Migrant Workers: How Far from Being Citizens?

Abstract: Hundreds of millions of farmers have become permanent urban residents. But they do not enjoy the corresponding benefits as citizens. Migration of rural population and labor mobility have become one of the primary elements driving China’s economic growth, but migrant workers have to face economic, social, political and cultural challenges and barriers before becoming real citizens. These changes and barriers include unemployment and poverty of landless farmers, labor resource integration, social inclusion and government administration and so on, among which, the reform and improvement of household registration system, land system, labor system and social security system is becoming urgent for the Chinese government. Thus the migrant workers still have a long way to go before obtaining full citizenship.

A Sense of Place Short Link:  http://wp.me/pISTJ-hC

Full Text: http://www.ccsenet.org/journal/index.php/ass/article/view/23544/15041

Shuya Zhang, Guoliang Luo (2013) China’s Migrant Workers: How Far from Being Citizens?
Asian Social Science   ISSN 1911-2017 (Print)   ISSN 1911-2025 (Online)
DOI: 10.5539/ass.v9n1p171

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Shedding Light on the Global Distribution of Economic Activity

Collection of data on economic variables, especially sub-national income levels, is problematic, due to various shortcomings in the data collection process. Additionally, the informal economy is often excluded from official statistics. Nighttime lights satellite imagery and the LandScan population grid provide an alternative means for measuring economic activity.

We have developed a model for creating a disaggregated map of estimated total (formal plus informal) economic activity for countries and states of the world. Regression models were developed to calibrate the sum of lights to official measures of economic activity at the sub-national level for China, India, Mexico, and the United States and at the national level for other countries of the world, and subsequently unique coefficients were derived. Multiplying the unique coefficients with the sum of lights provided estimates of total economic activity, which were spatially distributed to generate a spatially disaggregated 1 km² map of total economic activity.

A Sense of Place permalink:   http://wp.me/pISTJ-b6

Full Text: http://www.benthamscience.com/open/togeogj/articles/V003/147TOGEOGJ.pdf

Shedding Light on the Global Distribution of Economic Activity

Tilottama Ghosh, Rebecca L. Powell, Christopher D. Elvidge, Kimberly E. Baugh ,Paul C. Sutton, Sharolyn Anderson

The Open Geography Journal, 2010, 3, 147-16

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