But how did the bottom 60% of households in rural China increase their income at a considerably high rate over such a long period? There are at least four factors underlying the income growth of the poor.
First, the benefits of China’s sustained economic growth have really trickled down. Accelerating industrialization and urbanization in a country of over one billion people has transformed a large number of the agricultural surplus labor in the countryside into urban employment in China.
Between 1978 and 2015, the number of people in nonfarm jobs as a percentage of total employment increased from 29% to 70%. This change also occurred in poor areas and to poor households. Official data indicates that, while the number of those that moved away for nonfarm jobs out as a percentage of the total size of the local labor populations was slightly lower in poverty-stricken areas than in the nation as a whole, the gap between the growth rates of the number of people shifting to nonfarm jobs in poor areas and in the nation as a whole was reduced to close to zero for the 1996-2009 period. Between 2002 and the end of 2012, earnings from wage and salaries as a percentage of total household income rose from 26% to 43% for rural households in the bottom 20 percentile, at a rate that was roughly comparable to the national average. Evidently, low-income rural households have benefitted proportionally from the changes in the country’s employment pattern engendered by the dual process of industrialization and urbanization.
Second, the system of land ownership has notable consequences for both the occurrence and the mitigation of poverty in rural China. The distribution of cultivated land in rural China has been quite equal with bottom quintile households owning about 90% of land areas as the top quintile owned, much more equal than those for income and consumption per capita (figure 3). On average, each of the bottom quintile households owned 0.6 hectare of cultivated land. The relatively equal distribution of land enables the bottom poor to proportionally benefit not only from development and reform in agriculture but also from the transfer payments the state provided to support agricultural development.
Third, universal social development programs made contributions to the income growth of the bottom households. China has implemented a couple of social development programs in rural areas since 2000, including universal compulsory education up to grade 9, rural medical cooperative system, social pension system for rural residents, and a minimum living allowance scheme. With these programs in place, low income households secured a share of benefits larger than their part in other sources of income, which helps the poor increase their disposable income at a higher rate than that for their productive income. Official data indicates that increased transfer income for the bottom quintile households between 2002 and 2012 contributed 21% of their increased disposable income during the period.
Last, but not least, targeted poverty reduction programs, in place nationally since 1986, played an important role. The Chinese government launched a package of targeted poverty reduction programs covering broad areas, from physical infrastructure, social development, to industrial development and income generation to assist poor households and poor areas and improve their ability to share the benefits of national growth and generate more income by themselves. An incomplete official statistic shows that earmarked funding input from central government totaled 469 billion yuan(about USD 70 billion) between 1980 and 2016.
Given the central government’s commitment to ending extreme poverty by 2020, one can gather that going forward these programs will make a larger contribution to poverty reduction in China, with the introduction of more precise poverty reduction interventions.
source:https://www.weforum.org/agenda/2016/10/four-factors-that-have-driven-poverty-reduction-in-china?utm_content=bufferda1a5&utm_medium=social&utm_source=facebook.com&utm_campaign=buffer