Big Data + Big Poverty Alleviation: China’s Precisely Targeted Poverty Alleviation ——A Case Study on Guizhou Province

Abstraksi

“No Poverty” is the very first goal of United Nations Sustainable Development Goals. Contributing most to poverty reduction of United Nations Millennium Development Goals, China kept its pace in the course by launching a new movement named “Precisely Targeted Poverty Alleviation”. Performing notably in the movement, Guizhou province, with one of the largest poor population in China, innovatively combined frontline technology with poverty alleviation. Applying big data and cloud computing, Guizhou province has built a cloud platform to connect all 17 relevant government agencies’ data, so as to precisely target poor population. The government are therefore able to precisely and effectively grant favorable policies and fee-waiving on verified poor households. Integrating with e-commerce, Guizhou government can coordinate its poor agriculture population to farm most needed crops that can be sold out from the mountainous province to nationwide market through e-commerce orders. Holding Big Data Expo, Guizhou government is trying its best to bring in high-tech companies to run business and join its efforts to alleviate poverty. Though the Guizhou model still faces several challenges and problems, this pioneering practice has been widely recognized by China and various other countries and international organizations. The practice is also worth being learned and adapted by other poor areas and countries.