Research Article

Reducing Multidimensional Poverty of Elderly: The Role of the New Rural Pension Scheme in China

Table 2

Variables definitions and descriptive statistics.

CategoryVariablesDefinitionsParticipating sample mean (standard error)Receiving sample mean (standard error)

NRPS variablesParticipationDummy: participating in NRPS = 1; else = 00.6719(0.47)
PensionDummy: receive NRPS income = 1; else = 00.6675 (0.47)
Pension_amountAnnual amount received (yuan)1216.86 (3242)
Part_timeYears since participating in the NRPS (only 2012 data)2.3745 (0.91)
Pen_timeYears since receiving the NRPS income (only 2012 data)2.0685 (0.82)
Personal variablesAgeAge51.42 (4.32)67.81 (6.70)
GenderDummy: male = 1; else = 00.4864 (0.49)0.4842 (0.49)
MarriageDummy: has a spouse = 1; else = 00.9374 (0.24)0.7664 (0.42)
EducEducation, 1–5, illiteracy = 1, college = 52.1690 (0.98)1.6033 (0.79)
Medical_feeEducation, 1–5, illiteracy = 1, college = 52247.31 (8610)3197.94 (29289)
Family variablesFamilysizeFamily population4.4361 (1.89)4.1946 (2.20)
Child_numFamily population1.6376 (0.95)0.9561 (0.84)
Fincome_perFamily annual per capita net income (yuan)12109.08 (25131)9748.43 (49628)
Ftransfer_perFamily annual per capita transfer income (yuan)628.31 (4122)740.4905 (2176)
LandDummy: has land = 1; else = 00.6299 (0.48)0.6320 (0.48)
Village variablesDisasterDummy: the village is a frequent area of natural disaster = 1; else = 00.369 2 (0.48)0.3592 (0.48)
LandformsVillage landform2.9830 (1.18)3.0814 (1.83)
Distance_townDistance between village and nearest market town (km)6.0655 (2.40)6.6124 (2.76)
Distance_countyDistance between the village and the county seat (km)25.2606 (20.55)24.9872 (20.15)
Distance_capitalDistance between village and provincial capital (km)256.2255 (271)252.4294 (281)
Instrumental variable (IV)Cpart_ratioThe county-level participation rate (excluding the elderly themselves)0.3718 (0.18)0.3462 (0.18)
Observations1507611454

Data source: CFPS 2012, 2014, 2016. Note: (1) We divided the level of education into five categories, represented by 1–5, which were illiteracy, primary school, junior middle school, high school, and college or above, respectively. (2) Landforms of villages were divided into seven categories, which were represented by 1–7, such as, namely, hills, mountains, plateaus, plains, grasslands, fishing, villages, and others. (3) Variables (family income and transfer income) have been winsorized at the 1st and 99th percentile.