Data for studying earnings, the distribution of household income and poverty in China

Abstract

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Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data‐scarce Environments

“…Finally, all these surveys collect some form of consumption (or income data), but opinion varies on their suitability to produce the national poverty rate. For example, Gustafsson et al (2014) argue that out of all the listed Chinese surveys (and some others), the cross-sectional CHIP provides the most comprehensive measure of different household income components. Dang and Lanjouw (2018) also point out that compared to the cross-sectional Indian NSS, 8 the panel India Human Development Survey (IHDS) collects a much-reduced version of household consumption data (i.e.…”

Wellbeing in China

“…Carrying on the tradition of Social Indicators Research in publishing psychometric studies for China, the Special Issue contains a psychometric study by Kitty Chan, Verplanken Bas and Suzanne Skevington. One of the advantages of doing social science research on China is the recent mushrooming in the number of household-level datasets (see Gustafsson et al 2014, for an overview). Many of these household-level datasets have questions relating to wellbeing.…”

Does intercropping have a future in China? : insights from a case study in Gansu Province

“…The 'Rural Fixed Observation Points Survey' (RFOPS) is a longitudinal survey that aims to collect rural socio-economic information on the same households and villages through time. It started in 1986 and covers around 23,000 households in 360 villages located in 30 provinces in mainland China, excluding Tibet (Gustafsson et al, 2014). A stratified random sampling approach is used (Yao, 2011).…”

“…A stratified random sampling approach is used (Yao, 2011). 5 The RFOPS carries out annual surveys among households and village leaders to collect basic information such as land utilization, labor inputs, agricultural production, income, and expenditures (Xu et al, 2012;Gustafsson et al, 2014). Enumerators assist households to complete questionnaires, and the interviewed households are revisited annually.…”

“…Within each region, representative counties, having average characteristics of their income group, were selected and within each county one representative village was chosen for the survey. Within each village, between 10% and 20% of the households were then randomly selected(Gustafsson et al, 2014). If a household cannot be traced due to immigration, death or family division, a similar household in the village is generally selected to fill the vacancy(Yi et al, 2015).…”