Impact of digital village construction on rural revitalization and development: based on empirical evidence from 1 804 counties in China

doi:10.3969/j.issn.1004-1524.20231007

Acta Agriculturae Zhejiangensis ›› 2024, Vol. 36 ›› Issue (7): 1694-1708.DOI: 10.3969/j.issn.1004-1524.20231007

• Agricultural Economy and Development • Previous Articles

Impact of digital village construction on rural revitalization and development: based on empirical evidence from 1 804 counties in China

LIU Ying(), LAI Kaifeng^*()

School of Economics and Management, North China University of Technology, Beijing 100144, China

Received:2023-08-23 Online:2024-07-25 Published:2024-08-05

Abstract

Abstract:

Digital village is an important strategic direction for rural revitalization and a key content for promoting agricultural and rural modernization. In the present study, the contribution of digital village construction to rural revitalization at the theoretical level was described firstly. Then, based on the panel data of 1 804 counties in China from 2018 to 2020, the impact of digital rural construction on rural revitalization was analyzed by calculating the rural revitalization index via the self-constructed rural vitalization evaluation system and the pairing with the released Report on the digital countryside index at county level (2020). The results showed that the digital village construction had a significant promoting effect on rural revitalization. The digitization of rural economy and rural life had a significant effect on promoting rural revitalization, while the digitization of rural infrastructure and rural governance did not show the desired effect. Digital village construction significantly promoted thriving businesses, social etiquette and civility and prosperity. In counties with high levels of digital villages, the construction of digital village had a significant contributing effect on rural revitalization. The effect of digital villages driving rural revitalization was more significant in counties with lower public budget expenditures. The above findings indicated that the rural revitalization at the current stage should be closely integrated with the opportunity of digital village construction, and should be focused on promoting the digital transformation of rural economy and enhancing the convenience of rural residents’ digital life. The government should increase investment in the construction of digital villages, especially the support for the lagged areas.

Key words: rural revitalization, digital village, digitalization of rural economy, digitalization of rural life

CLC Number:

F323

LIU Ying, LAI Kaifeng. Impact of digital village construction on rural revitalization and development: based on empirical evidence from 1 804 counties in China[J]. Acta Agriculturae Zhejiangensis, 2024, 36(7): 1694-1708.

Figures/Tables 9

References 40

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一级指标 First level indicators	二级指标 Second level indicators	方向 Direction	(客观)权重 (Objective) Weights	主观权重 Subjective weights	综合权重 Combined weights
产业兴旺	第一产业增加值Value added of primary industry/(10⁴ yuan)	+	0.084 1	0.120 0	0.102 1
Thriving businesses	粮食总产量Total grain output/t	+	0.147 5	0.100 0	0.123 7
	设施农业面积Area of agricultural facilities/hm²	+	0.393 4	0.092 5	0.242 9
生态宜居	单位面积化肥使用量(折纯量)	-	0.000 2	0.150 0	0.075 1
Pleasant living	Fertilizer usage per unit area (pure)/(kg·hm^-2)
environment	二氧化碳排放量Carbon dioxide emissions/(10⁴ t)	-	0.002 5	0.089 5	0.046 0
乡风文明	农村居民教育文娱支出(人均)	+	0.016 8	0.060 0	0.038 4
social etiquette and civility	Per capita expenditures on education, culture and recreation for rural residents/yuan
	普通中学在校生人数	+	0.093 1	0.069 5	0.081 3
	Number of students enrolled in general secondary schools
治理有效	公共预算财政支出Public budget fiscal expenditure/(10⁴ yuan)	+	0.041 5	0.058 5	0.050 0
Effective governance	提供住宿的社会机构(数量)	+	0.193 0	0.080 0	0.136 5
	Quantity of social institutions providing accommodation
生活富裕Prosperity	农村居民人均可支配收入	+	0.024 8	0.150 0	0.087 4
	Per capita disposable income of rural residents/yuan
	城乡居民可支配收入比	-	0.003 3	0.030 0	0.016 6
	Ratio of disposable income of urban and rural residents

一级指标 First level indicators	二级指标 Second level indicators	方向 Direction	(客观)权重 (Objective) Weights	主观权重 Subjective weights	综合权重 Combined weights
产业兴旺	第一产业增加值Value added of primary industry/(10⁴ yuan)	+	0.084 1	0.120 0	0.102 1
Thriving businesses	粮食总产量Total grain output/t	+	0.147 5	0.100 0	0.123 7
	设施农业面积Area of agricultural facilities/hm²	+	0.393 4	0.092 5	0.242 9
生态宜居	单位面积化肥使用量(折纯量)	-	0.000 2	0.150 0	0.075 1
Pleasant living	Fertilizer usage per unit area (pure)/(kg·hm^-2)
environment	二氧化碳排放量Carbon dioxide emissions/(10⁴ t)	-	0.002 5	0.089 5	0.046 0
乡风文明	农村居民教育文娱支出(人均)	+	0.016 8	0.060 0	0.038 4
social etiquette and civility	Per capita expenditures on education, culture and recreation for rural residents/yuan
	普通中学在校生人数	+	0.093 1	0.069 5	0.081 3
	Number of students enrolled in general secondary schools
治理有效	公共预算财政支出Public budget fiscal expenditure/(10⁴ yuan)	+	0.041 5	0.058 5	0.050 0
Effective governance	提供住宿的社会机构(数量)	+	0.193 0	0.080 0	0.136 5
	Quantity of social institutions providing accommodation
生活富裕Prosperity	农村居民人均可支配收入	+	0.024 8	0.150 0	0.087 4
	Per capita disposable income of rural residents/yuan
	城乡居民可支配收入比	-	0.003 3	0.030 0	0.016 6
	Ratio of disposable income of urban and rural residents

变量 Variable	样本量 Sample size	平均值 Mean	标准差 Standard deviation	最小值 Minimum	最大值 Maximum
Y	5 412	7.834 5	4.719 5	0.723 9	48.120 6
X	5 412	51.875 1	13.354 1	4.547 1	122.082 9
C₁	5 412	13.954 9	1.044 7	10.328 5	16.815 4
C₂	5 412	0.450 2	0.104 9	0.063 8	0.895 5
C₃	5 412	0.172 1	0.041 3	0.080 4	0.254 8
C₄	5 412	0.260 8	0.060 4	0.130 8	0.383 8
C₅	5 412	0.503 0	0.120 7	0.051 2	0.937 4

变量 Variable	样本量 Sample size	平均值 Mean	标准差 Standard deviation	最小值 Minimum	最大值 Maximum
Y	5 412	7.834 5	4.719 5	0.723 9	48.120 6
X	5 412	51.875 1	13.354 1	4.547 1	122.082 9
C₁	5 412	13.954 9	1.044 7	10.328 5	16.815 4
C₂	5 412	0.450 2	0.104 9	0.063 8	0.895 5
C₃	5 412	0.172 1	0.041 3	0.080 4	0.254 8
C₄	5 412	0.260 8	0.060 4	0.130 8	0.383 8
C₅	5 412	0.503 0	0.120 7	0.051 2	0.937 4

变量 Variables	不同模型下各变量的回归系数Regression coefficients of variables under different models
变量 Variables	回归1 Regression 1	回归2 Regression 2	回归3 Regression 3	回归4 Regression 4
X	0.031 1^***(0.003 2)	0.017 6^***(0.003 1)	0.008 5^**(0.003 6)	0.010 2^***(0.003 6)
C₁	—	1.733 9^***(0.432 6)	—	1.412 5^***(0.475 7)
C₂	—	-0.121 4(0.494 6)	—	-1.229 6^***(0.471 8)
C₃	—	12.079 9^***(2.453 6)	—	4.681 8^**(2.327 0)
C₄	—	-4.230 2^***(1.581 8)	—	-3.217 8^**(1.613 5)
C₅	—	-0.439 8(0.370 9)	—	-1.000 7^***(0.360 5)
常数项Constant	6.222 0^***(0.165 7)	-17.976 0^***(5.679 3)	7.018 1^***(0.176 1)	-11.616 9^*(6.674 1)

Impact of digital village construction on rural revitalization and development: based on empirical evidence from 1 804 counties in China

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变量 Variables	不同模型下各变量的回归系数Regression coefficients of variables under different models
变量 Variables	回归5 Regression 5	回归6 Regression 6	回归7 Regression 7	回归8 Regression 8
X₁	0.000 3(0.001 3)	—	—	—
X₂	—	0.003 3^*(0.001 7)	—	—
X₃	—	—	0.002 0(0.001 5)	—
X₄	—	—	—	0.007 1^***(0.002 2)
常数项Constant	-10.780 9(6.610 0)	-11.013 1^*(6.555 8)	-10.877 2(6.617 4)	-11.219 1^*(6.644 5)

变量 Variables	不同模型下各变量的回归系数Regression coefficients of variables under different models
变量 Variables	回归9 Regression 9	回归10 Regression 10	回归11 Regression 11	回归12 Regression 12	回归13 Regression 13
X	0.004 6^***(0.001 6)	0.000 1(0.000 4)	0.001 5^*(0.000 8)	0.001 7(0.001 6)	0.003 5^***(0.001 2)
常数项Constant	-6.476 5(3.939 2)	11.380 8^***(0.148 8)	0.559 2(0.469 6)	-0.866 1(0.829 8)	2.855 0^***(0.762 7)

变量 Variables	不同模型下各变量的回归系数Regression coefficients of variables under different models
变量 Variables	回归14 Regression 14	回归15 Regression 15	回归16 Regression 16	回归17 Regression 17
X	0.006 3^*(0.003 3)	0.004 4(0.004 6)	0.004 4(0.007 8)	0.010 3^***(0.003 2)
常数项Constant	-0.007 6(2.9843)	-22.1664^*(12.630 5)	0.861 7(4.633 8)	-12.125 1^**(5.247 0)

变量 Variables	不同模型下各变量的回归系数 Regression coefficient of variables under different models
变量 Variables	回归18 Regression 18	回归19 Regression 19
X	0.012 8^***(0.004 2)	0.016 3^***(0.006 0)
常数项	-13.920 9^*(7.461 5)	-12.960 3^*(7.846 1)
Constant

变量 Variables	不同模型下各变量的回归系数Regression coefficients of variables under different models
变量 Variables	回归20 Regression 20	回归21 Regression 21	回归22 Regression 22
X	0.010 6^***(0.003 7)	0.011 3^***(0.003 1)	0.009 6^**(0.004 0)
常数项Constant	-11.958 7^*(6.796 2)	7.452 3^*(4.278 7)	-17.446 8^**(8.706 5)

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