• •
收稿日期:2025-11-18
出版日期:2026-02-03
通讯作者:
徐冬梅
E-mail:Xdmlh2018@sxau.edu.cn
作者简介:梁晓栋(2001- ),男,硕士研究生,研究方向为农户生计基金资助:
LIANG Xiaodong, WANG Ru, WANG Shuaijin, XU Dongmei(
)
Received:2025-11-18
Online:2026-02-03
Contact:
XU Dongmei
E-mail:Xdmlh2018@sxau.edu.cn
摘要:
【目的/意义】 研究国家大数据综合试验区建设是否促进农村居民消费潜力释放,对于扩大内需和培育新经济增长点至关重要。 【方法/过程】 本研究基于2010—2022年中国家庭追踪调查数据(CFPS),将“国家大数据综合试验区”政策作为一项准自然实验,采用双重差分法评估大数据试验区建设对农村居民消费潜力的影响。 【结果/结论】 研究发现:1)国家大数据综合试验区建设显著促进了农村居民消费潜力释放,该结论经过稳健性检验后仍然成立;2)异质性分析发现,该政策释放效应在东部地区尤为明显,且在户主为男性、低收入和年龄结构为中年的农村家庭提振效果更为突出;3)作用机制表明,“国家大数据综合试验区”政策通过增加家庭收入和推动技术进步促进农村居民消费潜力的释放,且家庭负债发挥正向调节作用。鉴于大数据试验区建设对农村居民消费潜力释放具有显著的促进作用,继而提出了几点有助于大数据发展的相关建议。
中图分类号: F328
梁晓栋, 王茹, 王帅晋, 徐冬梅. 国家大数据综合试验区建设对农村居民消费潜力的影响研究——基于CFPS数据[J/OL]. 农业图书情报学报. https://doi.org/10.13998/j.cnki.issn1002-1248.25-0655.
LIANG Xiaodong, WANG Ru, WANG Shuaijin, XU Dongmei. Impact of the Construction of National Big Data Comprehensive Pilot Zones on Rural Residents' Consumption Potential: Evidence from CFPS Data[J/OL]. Journal of library and information science in agriculture. https://doi.org/10.13998/j.cnki.issn1002-1248.25-0655.
表1
描述性统计"
| 变量 | 定义及赋值 | 均值 | 标准差 | 最小值 | 最大值 |
|---|---|---|---|---|---|
| 消费潜力 | PSM匹配城乡居民消费差值的自然对数 | -0.185 | 1.095 | -4.365 | 4.320 |
| DID | 0.303 | 0.460 | 0 | 1 | |
| 户主年龄 | 实际年龄/岁 | 49.370 | 12.090 | 16 | 75 |
| 性别 | 男=1,女=0 | 0.610 | 0.488 | 0 | 1 |
| 受教育年限 | 受教育的实际年限 | 6.805 | 4.102 | 0 | 19 |
| 婚姻状况 | 已婚=1,未婚=0 | 0.895 | 0.306 | 0 | 1 |
| 健康状况 | 不健康=1,一般健康=2,比较健康=3,很健康=4,非常健康=5 | 3.061 | 1.276 | 1 | 5 |
| 医疗保险 | 购买医保=1,未购买医保=0 | 0.937 | 0.243 | 0 | 1 |
| 家庭总收入对数 | 农户家庭总收入取自然对数 | 10.47 | 1.124 | 0 | 16.590 |
| 是否自有住房 | 有自有住房=1,无自有住房=0 | 0.909 | 0.288 | 0 | 1 |
| 家庭人均支出 | 农户家庭人均消费支出取自然对数 | 9.173 | 0.895 | 5.397 | 12.750 |
| 家庭人口抚养比 | 家庭少儿老年人口数/家庭成年劳动人口数 | 0.510 | 0.619 | 0 | 6 |
| 经济发展水平 | 地区人均GDP取自然对数 | 10.670 | 0.421 | 9.464 | 12.100 |
| 城乡收入差距 | 地区城镇居民人均可支配收入/农村居民人均可支配收入 | 2.705 | 0.463 | 1.886 | 3.735 |
| 人力资本水平 | 地区高等学校在校生人数/总人口 | 0.020 | 0.004 | 0.009 | 0.034 |
| 城乡物价差距 | 地区城市居民消费价格指数-农村居民消费价格指数 | -0.046 | 0.443 | -1.300 | 1.400 |
| 家庭人均收入 | 农户家庭人均收入(万元) | 1.584 | 2.824 | 0 | 266.667 |
| 科技创新投入 | 科技创新投入取自然对数 | 14.605 | 1.203 | 12.460 | 17.287 |
| 家庭负债 | 非房贷的金融负债取自然对数 | 2.391 | 4.634 | 0 | 14.914 |
表2
农村居民人均消费潜力"
| 地区 | 匹配前城乡居民人均消费 | 匹配后城乡居民人均消费 | ||||
|---|---|---|---|---|---|---|
| 农村居民 | 城镇居民 | 消费潜力 | 农村居民 | 城镇居民 | 消费潜力 | |
| 东部地区 | 17 235.83 | 35 143.29 | -17 907.46 | 17 235.83 | 19 318.71 | -2 082.88 |
| 中部地区 | 14 703.82 | 26 895.67 | -12 191.85 | 14 703.82 | 16 814.29 | -2 110.47 |
| 西部地区 | 12 964.84 | 25 776.67 | -12 811.83 | 12 964.85 | 15 477.36 | -2 512.51 |
| 平均 | 14 897.34 | 30 675.08 | -15 777.74 | 14 897.34 | 17 152.57 | -2 255.23 |
表3
基准回归结果"
| 变量 | 消费潜力 | 消费潜力 | 消费潜力 | 消费潜力 |
|---|---|---|---|---|
| (1) | (2) | (3) | (4) | |
| DID | -0.092*** | -0.082** | -0.059** | -0.065** |
| (0.034) | (0.033) | (0.027) | (0.028) | |
| 户主年龄 | 0.008 | 0.003 | 0.003 | |
| (0.006) | (0.005) | (0.005) | ||
| 性别 | 0.327 | 0.068 | 0.069 | |
| (0.321) | (0.120) | (0.118) | ||
| 受教育年限 | -0.053*** | -0.059*** | -0.058*** | |
| (0.006) | (0.005) | (0.005) | ||
| 婚姻状况 | -0.065 | 0.099** | 0.098** | |
| (0.061) | (0.048) | (0.048) | ||
| 健康状况 | 0.007 | 0.015** | 0.015** | |
| (0.009) | (0.007) | (0.007) | ||
| 医疗保险 | 0.280*** | 0.258*** | 0.255*** | |
| (0.039) | (0.031) | (0.031) | ||
| 家庭总收入对数 | -0.048*** | -0.048*** | ||
| (0.009) | (0.009) | |||
| 是否自有住房 | -0.047 | -0.050 | ||
| (0.031) | (0.031) | |||
| 家庭人均支出 | 0.962*** | 0.963*** | ||
| (0.011) | (0.011) | |||
| 家庭抚养比 | 0.060*** | 0.062*** | ||
| (0.015) | (0.015) | |||
| 经济发展水平 | -0.093 | -0.253** | ||
| (0.095) | (0.106) | |||
| 城乡收入差距 | -0.286* | |||
| (0.150) | ||||
| 人力资本水平 | 13.720* | |||
| (7.030) | ||||
| 城乡物价差距 | 0.012 | |||
| (0.018) | ||||
| 时间固定效应 | 是 | 是 | 是 | 是 |
| 个体固定效应 | 是 | 是 | 是 | 是 |
| 常数项 | -0.732*** | -1.103*** | -7.699*** | -5.442*** |
| (0.025) | (0.315) | (1.013) | (1.326) | |
| 样本量/个 | 24 566 | 24 566 | 24 566 | 24 566 |
| R2 | 0.041 | 0.051 | 0.402 | 0.403 |
表4
稳健性检验"
| 变量 | (1) | (2) | (3) | (4) | (5) |
|---|---|---|---|---|---|
| 虚构政策时间为2014年 | 虚构政策时间为2012年 | 增加地区固定效应 | 缩尾回归 | 排除“宽带中国”政策影响 | |
| DID | -0.057 | -0.030 | -0.070** | -0.069** | -0.077*** |
| (-1.545) | (-0.656) | (0.028) | (0.027) | (0.029) | |
| 控制变量 | 是 | 是 | 是 | 是 | 是 |
| 家庭固定效应 | 是 | 是 | 是 | 是 | 是 |
| 年份固定效应 | 是 | 是 | 是 | 是 | 是 |
| 常数项 | -5.394*** | -5.653*** | -5.626*** | -5.121*** | |
| (-3.985) | (-4.155) | (1.330) | (1.352) | ||
| 样本量/个 | 24 566 | 24 566 | 19 932 | 24 566 | 24 566 |
| R2 | 0.402 | 0.402 | 0.644 | 0.401 | 0.403 |
表5
异质性分析结果"
| 变量 | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) |
|---|---|---|---|---|---|---|---|---|---|---|
| 女性户主家庭 | 男性户主家庭 | 低收入家庭 | 高收入家庭 | 青年家庭 | 中年家庭 | 老年家庭 | 东部地区 | 中部地区 | 西部地区 | |
| DID | -0.026 | -0.079** | -0.140*** | 0.034 | 0.057 | -0.092** | -0.020 | -0.070** | 0.023 | -0.017 |
| (0.047) | (0.035) | (0.044) | (0.046) | (0.081) | (0.038) | (0.088) | (0.035) | (0.040) | (0.077) | |
| 控制变量 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 个体固定效应 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 时间固定效应 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 常数项 | -5.878*** | -5.366*** | -6.809*** | -2.770 | -2.381 | -3.930** | -13.00** | -6.438*** | -5.346*** | -5.902** |
| (2.228) | (1.671) | (2.071) | (2.174) | (3.951) | (1.912) | (5.349) | (1.896) | (1.710) | (2.531) | |
| 样本量/个 | 9 589 | 14 977 | 12 563 | 12 003 | 5 256 | 13 913 | 5 397 | 8 246 | 6 854 | 9 466 |
| R2 | 0.409 | 0.401 | 0.411 | 0.383 | 0.364 | 0.413 | 0.381 | 0.388 | 0.398 | 0.420 |
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