地理科学进展 ›› 2020, Vol. 39 ›› Issue (2): 219-230.doi: 10.18306/dlkxjz.2020.02.004
收稿日期:
2019-01-28
修回日期:
2019-08-22
出版日期:
2020-02-28
发布日期:
2020-04-28
通讯作者:
蔡建明
作者简介:
韩炜(1987— ),女,山西长治人,博士,助理研究员,主要从事城乡可持续发展研究。E-mail:han_wei1987@126.com
基金资助:
Received:
2019-01-28
Revised:
2019-08-22
Online:
2020-02-28
Published:
2020-04-28
Contact:
CAI Jianming
Supported by:
摘要:
发展乡村非农产业是“乡村振兴战略”的重要组成部分,也是乡村经济繁荣的前提条件。论文以中国乡镇企业数据代表乡村非农产业,探讨2000—2013年各省份乡村非农产业发展水平及其全局和局部空间演化特征。在乡村非农产业时空特征分析的基础上,从空间角度和时间角度分别进行回归分析,研究乡村非农产业对乡村居民收入的影响。结果表明:① 中国乡村非农产业变化巨大,时间上发展迅速,但内部差异呈扩大态势;空间分布上东部与中西部存在明显的差距,东部集聚仅在山东、浙江、江苏三省;产业类型构成上,工业占主导地位,批发零售业和建筑业次之,东部地区较中西部地区对工业依赖度更高。② 乡村非农产业对农民收入具有明显的正向促进效应,在空间上具有异质性,东部地区非农产业发展对居民收入的促进作用较中西部地区更高;时间维度上,乡村非农产业对居民收入促进作用逐渐减弱。根据研究结论提出重点支持中西部地区发展、完善乡村制度改革、发展多种产业类型等建议。
韩炜, 蔡建明. 乡村非农产业时空格局及其对居民收入的影响[J]. 地理科学进展, 2020, 39(2): 219-230.
HAN Wei, CAI Jianming. Spatiotemporal pattern of rural non-farm sector and its impact on rural residents’ income[J]. PROGRESS IN GEOGRAPHY, 2020, 39(2): 219-230.
表2
主要变量描述统计"
变量 | 均值 | 最大值 | 最小值 | 标准误差 |
---|---|---|---|---|
非农产业水平/亿元 | 9795.3 | 120810.1 | 3.6 | 16626.6 |
乡村居民收入/(元/人) | 4930.2 | 21191.6 | 1330.8 | 3298.5 |
城市化进程/% | 43.2 | 89.6 | 11.0 | 17.7 |
乡村居民受教育水平/% | 64.1 | 94.7 | 0.6 | 15.8 |
农业机械化水平/万kW | 2475.3 | 12739.8 | 95.3 | 2538.7 |
耕地面积/万hm2 | 400.64 | 1183.84 | 22.99 | 274.11 |
农村基础设施/亿kWh | 166.9 | 1801.9 | 0.3 | 272.8 |
东部 | 0.4 | 1 | 0 | 0.5 |
中部 | 0.3 | 1 | 0 | 0.4 |
表3
不同区域乡村非农产业对居民收入作用的弹性系数"
变量 | 东部 | 中部 | 西部 | 全国整体 |
---|---|---|---|---|
常数 | 2.42 | 3.05* | 3.67*** | 3.85*** |
非农产业水平 | 0.49*** | 0.23*** | 0.20*** | 0.37*** |
城市化进程 | -0.03 | -0.15** | 0.08 | 0.04 |
乡村居民受教育水平 | 0.57 | -0.78* | -0.07 | -0.02 |
农业机械化水平 | 0.47*** | -0.02 | 0.75*** | 0.57*** |
耕地面积 | -0.66*** | 0.09 | -0.48*** | -0.55*** |
农村基础设施 | 0.18*** | 1.55*** | 0.46*** | 0.38*** |
R2 | 0.9421 | 0.9532 | 0.9216 | 0.9401 |
调整 R2 | 0.9353 | 0.9584 | 0.9123 | 0.9347 |
P值 | <0.01 | <0.01 | <0.01 | <0.01 |
表4
2000—2013年各变量对乡村居民收入的弹性系数"
年份 | 常数 | 非农产业水平 | 城市化 进程 | 乡村居民受教育水平 | 农业机械化水平 | 耕地 面积 | 农村基 础设施 | 东部 | 中部 | R2 | 调整R2 | P值 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2000 | 7.50*** | 0.11*** | 0.27*** | -0.12 | 0 | -0.18** | 0.06 | 0.27** | 0.13 | 0.91 | 0.88 | <0.01 |
2001 | 7.81*** | 0.09* | 0.20** | -0.05 | -0.01 | -0.19*** | 0.08 | 0.26** | 0.15** | 0.93 | 0.90 | <0.01 |
2002 | 7.69*** | 0.10 | 0.22*** | -0.04 | -0.01 | -0.19*** | 0.09 | 0.24** | 0.14** | 0.93 | 0.91 | <0.01 |
2003 | 7.75*** | 0.11** | 0.25*** | -0.11 | -0.01 | -0.19*** | 0.07 | 0.24** | 0.13* | 0.93 | 0.90 | <0.01 |
2004 | 7.80*** | 0.15** | 0.19** | -0.06 | -0.01 | -0.18*** | 0.02 | 0.22* | 0.15* | 0.91 | 0.87 | <0.01 |
2005 | 6.21*** | 0.08* | 0.69*** | -0.17** | 0.02 | -0.14** | 0.04 | 0.15 | 0.11 | 0.93 | 0.91 | <0.01 |
2006 | 6.05*** | 0.07 | 0.77*** | -0.21*** | 0.05 | -0.14** | 0.04 | 0.16 | 0.13* | 0.93 | 0.90 | <0.01 |
2007 | 5.96*** | 0.09* | 0.79*** | -0.21** | 0.04 | -0.12* | 0.01 | 0.17 | 0.13* | 0.93 | 0.90 | <0.01 |
2008 | 5.97*** | 0.08* | 0.82*** | -0.22*** | 0.03 | -0.10 | 0.01 | 0.17* | 0.14** | 0.93 | 0.90 | <0.01 |
2009 | 6.13*** | 0.05** | 0.86*** | -0.23*** | 0.03 | -0.11* | 0.04 | 0.16 | 0.14* | 0.92 | 0.89 | <0.01 |
2010 | 6.17*** | 0.05 | 0.92*** | -0.29*** | 0.04 | -0.10 | 0.03 | 0.18* | 0.17** | 0.91 | 0.88 | <0.01 |
2011 | 5.79*** | 0.01* | 1.09*** | -0.33*** | 0.08 | -0.11 | 0.05 | 0.18* | 0.16** | 0.91 | 0.88 | <0.01 |
2012 | 5.52*** | -0.02 | 1.21*** | -0.35*** | 0.13 | -0.14* | 0.07 | 0.16 | 0.15* | 0.90 | 0.87 | <0.01 |
2013 | 6.54*** | 0.01* | 0.83*** | -0.12 | 0.07 | -0.13 | 0.06 | 0.10 | 0.11 | 0.88 | 0.83 | <0.01 |
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