1. Index name: The Peking University Digital Financial Inclusion Index of China (PKU-DFIIC)三十六种烹调方法
2. Rearch team: This index was produced by a rearch team from the Institute of Digital Finance at Peking University and Ant Financial Services Group. HUANG Yiping, Director of the Institute of Digital Finance at Peking University, and LIANG Shidong, Vice President of Ant Financial Services Group rve as advisors of the rearch team. The members of the rearch team included GUO Feng, KONG Tao, WANG Jingyi, ZHANG Xun, CHENG Zhiyun, RUAN Fangyuan, SUN Tao and WANG Fang in stage I (2011-2015), and included GUO Feng, WANG Jingyi, CHENG Zhiyun, LI Yongguo, WANG Fang and WEI Aiyong in stage II (2016-2018). The rearch team also got much technical support from many colleagues of Peking University
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3. Index attributes: The Peking University Digital Financial Inclusion Index of China (PKU-DFIIC) involves coverage breadth, usage depth and digitization level; usage depth involves sub-indexes such as payment, credit, insurance, credit, investment, and money funds.
4. Index range: 31 provinces (and municipalities directly under the Central Government and autonomous regions, referred to as “provinces”), 337 cities above the prefecture level (and regions, autonomous prefectures, alliances, etc., referred to as “cities”), and nearly 2,800 counties (and county-l执行工作
evel cities, banners, municipal districts, etc., referred to as “counties”). The data of some regions are lacking, for example Hong Kong SAR, Macao SAR and Taiwan province.wps模式
5. Time span: 2011-2018 for provincial level and prefecture level, 2014-2018 for county level.道德讲堂>彩虹玫瑰
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6. Regionalism code: During the period of 2011-2018, some regions in China carried out reforms such as “tting up cities by withdrawing regions” and “changing counties (and county-level cities) into municipal districts”, which adjusted the regional names and regionalism codes, but did not affect the statistics of this index. The codes of prefecture level cities in this index retained both versions of 2014 and 2018, while the county names and regionalism codes were bad on the codes at the end of 2014, so that urs can combine other economic and social data for analysis.
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7. Citations: People from all walks of life are welcome to u this index. Plea indicate the data source as “The Peking University Digital Financial Inclusion Index of China”. At the same time, plea cite our work in the following way: GUO Feng, WANG Jingyi, WANG Fang, KONG Tao, ZHANG Xun, CHENG Zhiyun, “Measuring China’s Digital Financial Inclusion: Index Compilation and Spatial Characteristics ”, China Economic Quarterly, 2020, 19(4), 1401-1418.
