Acta Agriculturae Zhejiangensis ›› 2021, Vol. 33 ›› Issue (4): 761-776.DOI: 10.3969/j.issn.1004-1524.2021.04.21
• Agricultural Economy and Development • Previous Articles
WANG Liyinga(), DING Shuyub, LIU Houpingb,*(
)
Received:
2020-09-10
Online:
2021-04-25
Published:
2021-04-25
Contact:
LIU Houping
一级指标 Primary indicator | 二级指标 Secondary indicator | 指标权重 Weight | 指标含义 Denotation |
---|---|---|---|
农业产业链延伸 Extension of agricultural industry chain | 农副食品加工业主营业务收入/农林牧渔业总产值 The ratio of the business income of agricultural food processing industry to the gross output value of farming, forestry, animal husbandry and fishery | 0.155 | 农业产业化经营水平、农业产业链延伸的经济效益 The management level of agricultural industrialization & economic benefits of agricultural industry chain extension |
农产品初加工机械动力/农业机械总动力 The ratio of the machinery power of agricultural primary products processing to the total power of agricultural machinery | 0.121 | 农业产业链延伸的发展规模 The development scale of agricultural industry chain extension | |
农业多功能扩展 Extension of multi- function of agriculture | 休闲农业营业收入/农林牧渔业总产值 The ratio of the business income of leisure agriculture to the gross output value of farming, forestry, animal husbandry and fishery | 0.233 | 农业自然、经济、社会、文化功能的发挥情况 The exertion of agricultural natural, economic, social and cultural functions |
二三产业从业人员/就业人口 The ratio of the working population of secondary and tertiary industries to the total working population | 0.047 | 第二产业和第三产业对就业的带动水平 The contribution of the secondary and tertiary industries to employment | |
农业新型业态 New forms of agriculture | 设施农业总面积/耕地面积 The ratio of the area of equipment agriculture to cultivated land area | 0.329 | 衡量农业科技与传统农业结合下农业新业态的培育规模 The cultivation scale of new agricultural forms under the combination of agricultural technology and traditional agriculture |
农业服务业融合 Convergence of agricultural services | 农林牧渔业服务业总产值/农林牧渔业总产值 The ratio of the gross output value of service industry of farming, forestry, animal husbandry and fishery to the gross output value of farming, forestry, animal husbandry and fishery | 0.115 | 农林牧渔业服务业的支持性活动与农林牧渔业生产活动的融合程度 The degree of convergence between supporting activities and production activities of farming, forestry, animal husbandry and fishery |
Table 1 Evaluation index system of rural industrial convergence level
一级指标 Primary indicator | 二级指标 Secondary indicator | 指标权重 Weight | 指标含义 Denotation |
---|---|---|---|
农业产业链延伸 Extension of agricultural industry chain | 农副食品加工业主营业务收入/农林牧渔业总产值 The ratio of the business income of agricultural food processing industry to the gross output value of farming, forestry, animal husbandry and fishery | 0.155 | 农业产业化经营水平、农业产业链延伸的经济效益 The management level of agricultural industrialization & economic benefits of agricultural industry chain extension |
农产品初加工机械动力/农业机械总动力 The ratio of the machinery power of agricultural primary products processing to the total power of agricultural machinery | 0.121 | 农业产业链延伸的发展规模 The development scale of agricultural industry chain extension | |
农业多功能扩展 Extension of multi- function of agriculture | 休闲农业营业收入/农林牧渔业总产值 The ratio of the business income of leisure agriculture to the gross output value of farming, forestry, animal husbandry and fishery | 0.233 | 农业自然、经济、社会、文化功能的发挥情况 The exertion of agricultural natural, economic, social and cultural functions |
二三产业从业人员/就业人口 The ratio of the working population of secondary and tertiary industries to the total working population | 0.047 | 第二产业和第三产业对就业的带动水平 The contribution of the secondary and tertiary industries to employment | |
农业新型业态 New forms of agriculture | 设施农业总面积/耕地面积 The ratio of the area of equipment agriculture to cultivated land area | 0.329 | 衡量农业科技与传统农业结合下农业新业态的培育规模 The cultivation scale of new agricultural forms under the combination of agricultural technology and traditional agriculture |
农业服务业融合 Convergence of agricultural services | 农林牧渔业服务业总产值/农林牧渔业总产值 The ratio of the gross output value of service industry of farming, forestry, animal husbandry and fishery to the gross output value of farming, forestry, animal husbandry and fishery | 0.115 | 农林牧渔业服务业的支持性活动与农林牧渔业生产活动的融合程度 The degree of convergence between supporting activities and production activities of farming, forestry, animal husbandry and fishery |
类别 | 变量 | 符号 | 含义 | 均值 | 标准差 | 最小值 | 最大值 |
---|---|---|---|---|---|---|---|
Category | Variable | Symbol | Denotation | Mean | Standard deviation | Minimum | Maximum |
被解释变量 Explained variable | 农民收入 Farmers’ income | lnincome | 农村居民人均可支配收入 Per capita disposable income of rural residents | 9.156 | 0.416 | 8.139 | 10.234 |
经营净收入占比 Proportion of business income in disposable income | OI | 农村居民经营净收入与农村居民人均 可支配收入之比 Ratio of the business income to the disposable income of rural residents | 0.421 | 0.142 | 0.042 | 0.786 | |
工资性收入占比 Proportion of wages income in disposable income | WI | 农村居民工资性收入与农村居民人均 可支配收入之比 Ratio of the wages income to the disposable income of rural residents | 0.405 | 0.139 | 0.120 | 0.776 | |
财产净收入占比 Proportion of property income in disposable income | CI | 农村居民财产净收入与农村居民人均 可支配收入之比 Ratio of the property income to the disposable income of rural residents | 0.028 | 0.017 | 0.007 | 0.104 | |
转移净收入占比 Proportion of transfer income in disposable income | TI | 农村居民转移净收入与农村居民人均 可支配收入之比 Ratio of the transfer income to the disposable income of rural residents | 0.147 | 0.067 | 0.048 | 0.309 | |
核心解释变量 Core explanatory variable | 农村产业融合水平 Rural industrial convergence level | lncon | 反映农村产业融合发展的综合评价结果 The comprehensive evaluation results of rural industry convergence development | -1.995 | 0.496 | -2.991 | -0.737 |
控制变量 Control variable | 农村信贷投入 Rural credit allocation | lnaloan | 涉农贷款余额与乡村人口数之比 Ratio of agricultural loan balances to the rural population | 10.422 | 0.646 | 9.030 | 12.101 |
人力资本 Human capital | education | 农村居民人均受教育年限 Per capita education years of rural residents | 7.718 | 0.596 | 5.880 | 9.800 | |
公路密度 Highway density | lnroad | 公路运营里程与国土面积之比 Ratio of highway operating mileage to the area of the region | -4.448 | 0.847 | -6.688 | -3.374 | |
农村固定资产投资 Rural fixed-assets investment | lnafe | 农村固定资产投资与乡村人口数之比 Ratio of the fixed-assets investment of farmers to the rural population | 7.271 | 0.584 | 4.415 | 8.248 | |
经营规模 Operation scale | lnaland | 耕地面积与乡村人口数之比 Ratio of cultivated land area to the rural population | -1.602 | 0.644 | -2.757 | 0.030 |
Table 2 Variable description and descriptive statistics
类别 | 变量 | 符号 | 含义 | 均值 | 标准差 | 最小值 | 最大值 |
---|---|---|---|---|---|---|---|
Category | Variable | Symbol | Denotation | Mean | Standard deviation | Minimum | Maximum |
被解释变量 Explained variable | 农民收入 Farmers’ income | lnincome | 农村居民人均可支配收入 Per capita disposable income of rural residents | 9.156 | 0.416 | 8.139 | 10.234 |
经营净收入占比 Proportion of business income in disposable income | OI | 农村居民经营净收入与农村居民人均 可支配收入之比 Ratio of the business income to the disposable income of rural residents | 0.421 | 0.142 | 0.042 | 0.786 | |
工资性收入占比 Proportion of wages income in disposable income | WI | 农村居民工资性收入与农村居民人均 可支配收入之比 Ratio of the wages income to the disposable income of rural residents | 0.405 | 0.139 | 0.120 | 0.776 | |
财产净收入占比 Proportion of property income in disposable income | CI | 农村居民财产净收入与农村居民人均 可支配收入之比 Ratio of the property income to the disposable income of rural residents | 0.028 | 0.017 | 0.007 | 0.104 | |
转移净收入占比 Proportion of transfer income in disposable income | TI | 农村居民转移净收入与农村居民人均 可支配收入之比 Ratio of the transfer income to the disposable income of rural residents | 0.147 | 0.067 | 0.048 | 0.309 | |
核心解释变量 Core explanatory variable | 农村产业融合水平 Rural industrial convergence level | lncon | 反映农村产业融合发展的综合评价结果 The comprehensive evaluation results of rural industry convergence development | -1.995 | 0.496 | -2.991 | -0.737 |
控制变量 Control variable | 农村信贷投入 Rural credit allocation | lnaloan | 涉农贷款余额与乡村人口数之比 Ratio of agricultural loan balances to the rural population | 10.422 | 0.646 | 9.030 | 12.101 |
人力资本 Human capital | education | 农村居民人均受教育年限 Per capita education years of rural residents | 7.718 | 0.596 | 5.880 | 9.800 | |
公路密度 Highway density | lnroad | 公路运营里程与国土面积之比 Ratio of highway operating mileage to the area of the region | -4.448 | 0.847 | -6.688 | -3.374 | |
农村固定资产投资 Rural fixed-assets investment | lnafe | 农村固定资产投资与乡村人口数之比 Ratio of the fixed-assets investment of farmers to the rural population | 7.271 | 0.584 | 4.415 | 8.248 | |
经营规模 Operation scale | lnaland | 耕地面积与乡村人口数之比 Ratio of cultivated land area to the rural population | -1.602 | 0.644 | -2.757 | 0.030 |
区域 Region | 平均值 Mean | 年均增长率 Annual growth rate | 区域 Region | 平均值 Mean | 年均增长率 Annual growth rate | 区域 Region | 平均值 Mean | 年均增长率 Annual growth rate |
---|---|---|---|---|---|---|---|---|
北京Beijing | 0.275 | 0.028 | 山西Shanxi | 0.094 | 0.013 | 内蒙古Inner Mongolia | 0.124 | -0.010 |
天津Tianjin | 0.422 | 0.068 | 吉林Jilin | 0.241 | -0.002 | 广西Guangxi | 0.133 | 0.031 |
河北Hebei | 0.123 | 0.027 | 黑龙江Heilongjiang | 0.116 | -0.115 | 重庆Chongqing | 0.171 | 0.074 |
辽宁Liaoning | 0.211 | -0.061 | 安徽Anhui | 0.166 | 0.064 | 四川Sichuan | 0.150 | 0.010 |
上海Shanghai | 0.266 | 0.070 | 江西Jiangxi | 0.161 | 0.057 | 贵州Guizhou | 0.074 | 0.023 |
江苏Jiangsu | 0.173 | 0.039 | 河南Henan | 0.160 | 0.060 | 云南Yunnan | 0.078 | 0.008 |
浙江Zhejiang | 0.128 | 0.021 | 湖北Hubei | 0.167 | 0.042 | 陕西Shaanxi | 0.101 | 0.057 |
福建Fujian | 0.173 | 0.037 | 湖南Hunan | 0.147 | 0.057 | 甘肃Gansu | 0.079 | 0.010 |
山东Shandong | 0.276 | 0.027 | 青海Qinghai | 0.068 | 0.044 | |||
广东Guangdong | 0.141 | 0.018 | 宁夏Ningxia | 0.083 | 0.047 | |||
海南Hainan | 0.062 | -0.010 | 新疆Xinjiang | 0.061 | 0.033 | |||
东部总体 Total in the east | 0.204 | 0.032 | 中部总体 Total in the central | 0.156 | 0.028 | 西部总体 Total in the west | 0.102 | 0.031 |
Table 3 Rural industrial convergence level of 30 provinces (autonomous regions, municipalities) from 2010 to 2017
区域 Region | 平均值 Mean | 年均增长率 Annual growth rate | 区域 Region | 平均值 Mean | 年均增长率 Annual growth rate | 区域 Region | 平均值 Mean | 年均增长率 Annual growth rate |
---|---|---|---|---|---|---|---|---|
北京Beijing | 0.275 | 0.028 | 山西Shanxi | 0.094 | 0.013 | 内蒙古Inner Mongolia | 0.124 | -0.010 |
天津Tianjin | 0.422 | 0.068 | 吉林Jilin | 0.241 | -0.002 | 广西Guangxi | 0.133 | 0.031 |
河北Hebei | 0.123 | 0.027 | 黑龙江Heilongjiang | 0.116 | -0.115 | 重庆Chongqing | 0.171 | 0.074 |
辽宁Liaoning | 0.211 | -0.061 | 安徽Anhui | 0.166 | 0.064 | 四川Sichuan | 0.150 | 0.010 |
上海Shanghai | 0.266 | 0.070 | 江西Jiangxi | 0.161 | 0.057 | 贵州Guizhou | 0.074 | 0.023 |
江苏Jiangsu | 0.173 | 0.039 | 河南Henan | 0.160 | 0.060 | 云南Yunnan | 0.078 | 0.008 |
浙江Zhejiang | 0.128 | 0.021 | 湖北Hubei | 0.167 | 0.042 | 陕西Shaanxi | 0.101 | 0.057 |
福建Fujian | 0.173 | 0.037 | 湖南Hunan | 0.147 | 0.057 | 甘肃Gansu | 0.079 | 0.010 |
山东Shandong | 0.276 | 0.027 | 青海Qinghai | 0.068 | 0.044 | |||
广东Guangdong | 0.141 | 0.018 | 宁夏Ningxia | 0.083 | 0.047 | |||
海南Hainan | 0.062 | -0.010 | 新疆Xinjiang | 0.061 | 0.033 | |||
东部总体 Total in the east | 0.204 | 0.032 | 中部总体 Total in the central | 0.156 | 0.028 | 西部总体 Total in the west | 0.102 | 0.031 |
等级 Classification | 取值范围 Range | 2010 | 2017 |
---|---|---|---|
低水平 Low level | 0.050~<0.157 | 河北Hebei、山西Shanxi、内蒙古Inner Mongolia、黑龙江Heilongjiang、江苏Jiangsu、浙江Zhejiang、安徽Anhui、福建Fujian、江西Jiangxi、河南Henan、湖北Hubei、湖南Hunan、广东Guangdong、广西Guangxi、海南Hainan、重庆Chongqing、四川Sichuan、贵州Guizhou、云南Yunnan、陕西Shaanxi、甘肃Gansu、青海Qinghai、宁夏Ningxia、新疆Xinjiang | 河北Hebei、山西Shanxi、内蒙古Inner Mongolia、辽宁Liaoning、黑龙江Heilongjiang、浙江Zhejiang、广东Guangdong、广西Guangxi、海南Hainan、贵州Guizhou、云南Yunnan、陕西Shaanxi、甘肃Gansu、青海Qinghai、宁夏Ningxia、新疆Xinjiang |
中下水平 Middle and lower level | 0.157~<0.264 | 北京Beijing、辽宁Liaoning、吉林Jilin、上海Shanghai、山东Shandong | 吉林Jilin、江苏Jiangsu、安徽Anhui、福建Fujian、江西Jiangxi、河南Henan、湖北Hubei、湖南Hunan、重庆Chongqing、四川Sichuan |
中上水平 Middle and higher level | 0.264~<0.371 | 天津Tianjin | 北京Beijing、上海Shanghai、山东Shandong |
高水平High level | 0.371~0.478 | — | 天津Tianjin |
Table 4 Distribution of China’s rural industrial convergence level in 2010 and 2017
等级 Classification | 取值范围 Range | 2010 | 2017 |
---|---|---|---|
低水平 Low level | 0.050~<0.157 | 河北Hebei、山西Shanxi、内蒙古Inner Mongolia、黑龙江Heilongjiang、江苏Jiangsu、浙江Zhejiang、安徽Anhui、福建Fujian、江西Jiangxi、河南Henan、湖北Hubei、湖南Hunan、广东Guangdong、广西Guangxi、海南Hainan、重庆Chongqing、四川Sichuan、贵州Guizhou、云南Yunnan、陕西Shaanxi、甘肃Gansu、青海Qinghai、宁夏Ningxia、新疆Xinjiang | 河北Hebei、山西Shanxi、内蒙古Inner Mongolia、辽宁Liaoning、黑龙江Heilongjiang、浙江Zhejiang、广东Guangdong、广西Guangxi、海南Hainan、贵州Guizhou、云南Yunnan、陕西Shaanxi、甘肃Gansu、青海Qinghai、宁夏Ningxia、新疆Xinjiang |
中下水平 Middle and lower level | 0.157~<0.264 | 北京Beijing、辽宁Liaoning、吉林Jilin、上海Shanghai、山东Shandong | 吉林Jilin、江苏Jiangsu、安徽Anhui、福建Fujian、江西Jiangxi、河南Henan、湖北Hubei、湖南Hunan、重庆Chongqing、四川Sichuan |
中上水平 Middle and higher level | 0.264~<0.371 | 天津Tianjin | 北京Beijing、上海Shanghai、山东Shandong |
高水平High level | 0.371~0.478 | — | 天津Tianjin |
年份 Year | 空间邻接权重Adjacency weight | 地理权重Geography weight | ||||
---|---|---|---|---|---|---|
Moran’s Ⅰ | Z | P | Moran’s Ⅰ | Z | P | |
2010 | 0.300 | 2.754 | 0.003 | 0.394 | 4.536 | <0.001 |
2011 | 0.301 | 2.789 | 0.003 | 0.387 | 4.521 | <0.001 |
2012 | 0.263 | 2.712 | 0.003 | 0.338 | 4.370 | <0.001 |
2013 | 0.303 | 2.907 | 0.002 | 0.368 | 4.480 | <0.001 |
2014 | 0.281 | 2.635 | 0.004 | 0.333 | 3.959 | <0.001 |
2015 | 0.288 | 2.862 | 0.002 | 0.341 | 4.301 | <0.001 |
2016 | 0.302 | 2.884 | 0.002 | 0.346 | 4.204 | <0.001 |
2017 | 0.249 | 2.442 | 0.007 | 0.260 | 3.263 | 0.001 |
Table 5 Spatial correlation analysis of rural industrial convergence level
年份 Year | 空间邻接权重Adjacency weight | 地理权重Geography weight | ||||
---|---|---|---|---|---|---|
Moran’s Ⅰ | Z | P | Moran’s Ⅰ | Z | P | |
2010 | 0.300 | 2.754 | 0.003 | 0.394 | 4.536 | <0.001 |
2011 | 0.301 | 2.789 | 0.003 | 0.387 | 4.521 | <0.001 |
2012 | 0.263 | 2.712 | 0.003 | 0.338 | 4.370 | <0.001 |
2013 | 0.303 | 2.907 | 0.002 | 0.368 | 4.480 | <0.001 |
2014 | 0.281 | 2.635 | 0.004 | 0.333 | 3.959 | <0.001 |
2015 | 0.288 | 2.862 | 0.002 | 0.341 | 4.301 | <0.001 |
2016 | 0.302 | 2.884 | 0.002 | 0.346 | 4.204 | <0.001 |
2017 | 0.249 | 2.442 | 0.007 | 0.260 | 3.263 | 0.001 |
Fig.1 Moran’s Ⅰ scatter plot based on adjacency weight (a, c) and geography weight (b, d) in 2010 (a, b) and 2017 (c, d) 1-30 represents Beijing, Tianjin, Hebei, Shanxi, Inner Mongolia, Liaoning, Jilin, Heilongjiang, Shanghai, Jiangsu, Zhejiang, Anhui, Fujian, Jiangxi, Shandong, Henan, Hubei, Hunan, Guangdong, Guangxi, Hainan, Chongqing, Sichuan, Guizhou, Yunnan, Shaanxi, Gansu, Qinghai, Ningxia, Xinjiang.
变量 Variable | 模型Ⅰ Model Ⅰ | 模型Ⅱ Model Ⅱ | 模型Ⅲ Model Ⅲ | |||
---|---|---|---|---|---|---|
系数 Coefficient | 稳健性标准误差 Robust standard error | 系数 Coefficient | 稳健性标准误差 Robust standard error | 系数 Coefficient | 稳健性标准误差 Robust standard error | |
lncon | 0.100** | 0.045 | 0.045** | 0.019 | 0.053*** | 0.019 |
lnaloan | 0.537*** | 0.030 | 0.089*** | 0.028 | 0.109*** | 0.032 |
education | 0.145*** | 0.039 | 0.049*** | 0.011 | 0.048*** | 0.012 |
lnroad | 0.407** | 0.149 | 0.161** | 0.077 | 0.166** | 0.069 |
lnafe | 0.089** | 0.041 | 0.074*** | 0.016 | 0.063*** | 0.020 |
lnaland | -0.080 | 0.345 | 0.167 | 0.111 | 0.168 | 0.112 |
α | 3.676*** | 0.949 | — | — | — | — |
W×lncon | — | — | -0.007 | 0.028 | -0.038 | 0.036 |
W×lnaloan | — | — | -0.096** | 0.049 | -0.180*** | 0.063 |
W×education | — | — | 0.048 | 0.031 | -0.007 | 0.028 |
W×lnroad | — | — | 0.319 | 0.217 | 0.674*** | 0.255 |
W×lnafe | — | — | 0.041 | 0.039 | 0.059** | 0.029 |
W×lnaland | — | — | 0.075 | 0.246 | 0.182 | 0.290 |
ρ | — | — | 0.297*** | 0.109 | 0.151* | 0.088 |
残差方差 | — | — | 0.001*** | <0.001 | 0.001*** | 0.001 |
Residue variance | ||||||
AIC | -703.849 | -1 110.012 | -1 112.128 | |||
BIC | -682.965 | -1 061.283 | -1 063.399 | |||
极大似然值 | 357.925 | 569.006 | 570.064 | |||
Loglikelihood |
Table 6 Estimation results of spatial econometric model for the impact of rural industrial convergence on farmers’ income
变量 Variable | 模型Ⅰ Model Ⅰ | 模型Ⅱ Model Ⅱ | 模型Ⅲ Model Ⅲ | |||
---|---|---|---|---|---|---|
系数 Coefficient | 稳健性标准误差 Robust standard error | 系数 Coefficient | 稳健性标准误差 Robust standard error | 系数 Coefficient | 稳健性标准误差 Robust standard error | |
lncon | 0.100** | 0.045 | 0.045** | 0.019 | 0.053*** | 0.019 |
lnaloan | 0.537*** | 0.030 | 0.089*** | 0.028 | 0.109*** | 0.032 |
education | 0.145*** | 0.039 | 0.049*** | 0.011 | 0.048*** | 0.012 |
lnroad | 0.407** | 0.149 | 0.161** | 0.077 | 0.166** | 0.069 |
lnafe | 0.089** | 0.041 | 0.074*** | 0.016 | 0.063*** | 0.020 |
lnaland | -0.080 | 0.345 | 0.167 | 0.111 | 0.168 | 0.112 |
α | 3.676*** | 0.949 | — | — | — | — |
W×lncon | — | — | -0.007 | 0.028 | -0.038 | 0.036 |
W×lnaloan | — | — | -0.096** | 0.049 | -0.180*** | 0.063 |
W×education | — | — | 0.048 | 0.031 | -0.007 | 0.028 |
W×lnroad | — | — | 0.319 | 0.217 | 0.674*** | 0.255 |
W×lnafe | — | — | 0.041 | 0.039 | 0.059** | 0.029 |
W×lnaland | — | — | 0.075 | 0.246 | 0.182 | 0.290 |
ρ | — | — | 0.297*** | 0.109 | 0.151* | 0.088 |
残差方差 | — | — | 0.001*** | <0.001 | 0.001*** | 0.001 |
Residue variance | ||||||
AIC | -703.849 | -1 110.012 | -1 112.128 | |||
BIC | -682.965 | -1 061.283 | -1 063.399 | |||
极大似然值 | 357.925 | 569.006 | 570.064 | |||
Loglikelihood |
变量 Variable | 直接效应Direct effect | 间接效应Indirect effect | 总效应Total effect | |||
---|---|---|---|---|---|---|
模型Ⅱ Model Ⅱ | 模型Ⅲ Model Ⅲ | 模型Ⅱ Model Ⅱ | 模型Ⅲ Model Ⅲ | 模型Ⅱ Model Ⅱ | 模型Ⅲ Model Ⅲ | |
lncon | 0.046**[0.019] | 0.052***[0.019] | 0.010 [0.040] | -0.037 [0.043] | 0.056 [0.045] | 0.015 [0.040] |
lnaloan | 0.081***[0.024] | 0.101***[0.028] | -0.104*[0.058] | -0.201***[0.062] | -0.024 [0.066] | -0.099 [0.069] |
education | 0.055***[0.013] | 0.049***[0.013] | 0.083**[0.038] | 0.001 [0.026] | 0.138***[0.043] | 0.051*[0.030] |
lnroad | 0.199**[0.088] | 0.190**[0.075] | 0.519 [0.316] | 0.838***[0.294] | 0.718*[0.371] | 1.029***[0.333] |
lnafe | 0.075***[0.019] | 0.061***[0.021] | 0.086*[0.051] | 0.080*[0.042] | 0.162***[0.059] | 0.141***[0.042] |
lnaland | 0.185 [0.124] | 0.183 [0.113] | 0.165 [0.363] | 0.277 [0.322] | 0.350 [0.443] | 0.460 [0.385] |
Table 7 Decomposition of spatial effects of variables on farmers’ income
变量 Variable | 直接效应Direct effect | 间接效应Indirect effect | 总效应Total effect | |||
---|---|---|---|---|---|---|
模型Ⅱ Model Ⅱ | 模型Ⅲ Model Ⅲ | 模型Ⅱ Model Ⅱ | 模型Ⅲ Model Ⅲ | 模型Ⅱ Model Ⅱ | 模型Ⅲ Model Ⅲ | |
lncon | 0.046**[0.019] | 0.052***[0.019] | 0.010 [0.040] | -0.037 [0.043] | 0.056 [0.045] | 0.015 [0.040] |
lnaloan | 0.081***[0.024] | 0.101***[0.028] | -0.104*[0.058] | -0.201***[0.062] | -0.024 [0.066] | -0.099 [0.069] |
education | 0.055***[0.013] | 0.049***[0.013] | 0.083**[0.038] | 0.001 [0.026] | 0.138***[0.043] | 0.051*[0.030] |
lnroad | 0.199**[0.088] | 0.190**[0.075] | 0.519 [0.316] | 0.838***[0.294] | 0.718*[0.371] | 1.029***[0.333] |
lnafe | 0.075***[0.019] | 0.061***[0.021] | 0.086*[0.051] | 0.080*[0.042] | 0.162***[0.059] | 0.141***[0.042] |
lnaland | 0.185 [0.124] | 0.183 [0.113] | 0.165 [0.363] | 0.277 [0.322] | 0.350 [0.443] | 0.460 [0.385] |
变量 Variable | 模型Ⅳ Model Ⅳ | 模型Ⅴ Model Ⅴ | ||||||
---|---|---|---|---|---|---|---|---|
OI | WI | CI | TI | OI | WI | CI | TI | |
lncon | 0.020* [0.011] | -0.049*** [0.017] | 0.011*** [0.004] | 0.018 [0.013] | 0.018 [0.014] | -0.041** [0.016] | 0.011*** [0.004] | 0.014 [0.014] |
lnaloan | -0.078*** [0.010] | 0.016 [0.014] | 0.004 [0.005] | 0.052*** [0.019] | -0.035* [0.019] | 0.010 [0.013] | 0.003 [0.005] | 0.057*** [0.019] |
education | -0.051*** [0.009] | -0.016 [0.013] | 0.012*** [0.003] | 0.034*** [0.010] | -0.016 [0.011] | -0.017 [0.012] | 0.012*** [0.003] | 0.038*** [0.011] |
lnroad | 0.017*** [0.007] | 0.051 [0.065] | 0.057*** [0.0137] | 0.034 [0.050] | -0.092* [0.050] | 0.062 [0.060] | 0.057*** [0.014] | 0.033 [0.051] |
lnafe | 0.065*** [0.009] | 0.042*** [0.013] | -0.001 [0.003] | -0.026** [0.010] | -0.023** [0.010] | 0.035*** [0.012] | -0.001 [0.003] | -0.016 [0.010] |
lnaland | 0.157*** [0.009] | -0.278*** [0.080] | 0.092*** [0.017] | 0.272*** [0.063] | -0.109* [0.063] | -0.244*** [0.074] | 0.092*** [0.017] | 0.287*** [0.064] |
ρ | -0.334*** [0.069] | 0.384*** [0.071] | -0.110 [0.086] | 0.578*** [0.063] | 0.242** [0.100] | 0.619*** [0.071] | -0.013 [0.092] | 0.595*** [0.072] |
残差方差 Residue variance | 0.004*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] |
AIC | -578.8 | -911.1 | -1 691.5 | -1 053.0 | -1 068.6 | -938.3 | -1 689.9 | -1 046.9 |
BIC | -488.3 | -820.6 | -1 601.0 | -962.5 | -978.1 | -847.8 | -1 599.4 | -956.4 |
极大似然值 | 315.394 | 481.55 | 871.751 | 552.513 | 560.283 | 495.166 | 870.948 | 549.453 |
Loglikelihood |
Table 8 Estimation results of spatial econometric model for impact of rural industrial convergence on farmers’ income structure
变量 Variable | 模型Ⅳ Model Ⅳ | 模型Ⅴ Model Ⅴ | ||||||
---|---|---|---|---|---|---|---|---|
OI | WI | CI | TI | OI | WI | CI | TI | |
lncon | 0.020* [0.011] | -0.049*** [0.017] | 0.011*** [0.004] | 0.018 [0.013] | 0.018 [0.014] | -0.041** [0.016] | 0.011*** [0.004] | 0.014 [0.014] |
lnaloan | -0.078*** [0.010] | 0.016 [0.014] | 0.004 [0.005] | 0.052*** [0.019] | -0.035* [0.019] | 0.010 [0.013] | 0.003 [0.005] | 0.057*** [0.019] |
education | -0.051*** [0.009] | -0.016 [0.013] | 0.012*** [0.003] | 0.034*** [0.010] | -0.016 [0.011] | -0.017 [0.012] | 0.012*** [0.003] | 0.038*** [0.011] |
lnroad | 0.017*** [0.007] | 0.051 [0.065] | 0.057*** [0.0137] | 0.034 [0.050] | -0.092* [0.050] | 0.062 [0.060] | 0.057*** [0.014] | 0.033 [0.051] |
lnafe | 0.065*** [0.009] | 0.042*** [0.013] | -0.001 [0.003] | -0.026** [0.010] | -0.023** [0.010] | 0.035*** [0.012] | -0.001 [0.003] | -0.016 [0.010] |
lnaland | 0.157*** [0.009] | -0.278*** [0.080] | 0.092*** [0.017] | 0.272*** [0.063] | -0.109* [0.063] | -0.244*** [0.074] | 0.092*** [0.017] | 0.287*** [0.064] |
ρ | -0.334*** [0.069] | 0.384*** [0.071] | -0.110 [0.086] | 0.578*** [0.063] | 0.242** [0.100] | 0.619*** [0.071] | -0.013 [0.092] | 0.595*** [0.072] |
残差方差 Residue variance | 0.004*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] | 0.001*** [0.001] |
AIC | -578.8 | -911.1 | -1 691.5 | -1 053.0 | -1 068.6 | -938.3 | -1 689.9 | -1 046.9 |
BIC | -488.3 | -820.6 | -1 601.0 | -962.5 | -978.1 | -847.8 | -1 599.4 | -956.4 |
极大似然值 | 315.394 | 481.55 | 871.751 | 552.513 | 560.283 | 495.166 | 870.948 | 549.453 |
Loglikelihood |
收入结构 Income structure | 直接效应Direct effect | 间接效应Indirect effect | 总效应Total effect | |||
---|---|---|---|---|---|---|
模型Ⅳ Model Ⅳ | 模型Ⅴ Model Ⅴ | 模型Ⅳ Model Ⅳ | 模型Ⅴ Model Ⅴ | 模型Ⅳ Model Ⅳ | 模型Ⅴ Model Ⅴ | |
OI | 0.021* [0.011] | 0.019 [0.014] | -0.006* [0.003] | 0.005 [0.005] | 0.015* [0.007] | 0.024 [0.018] |
WI | -0.052*** [0.019] | -0.046** [0.018] | -0.030** [0.015] | -0.068* [0.037] | -0.082** [0.032] | -0.014** [0.053] |
TI | 0.020 [0.015] | 0.016 [0.015] | 0.023 [0.019] | 0.020 [0.021] | 0.042 [0.033] | 0.035 [0.036] |
Table 9 Decomposition of spatial effects for impact of rural industrial convergence on farmers’ income structure
收入结构 Income structure | 直接效应Direct effect | 间接效应Indirect effect | 总效应Total effect | |||
---|---|---|---|---|---|---|
模型Ⅳ Model Ⅳ | 模型Ⅴ Model Ⅴ | 模型Ⅳ Model Ⅳ | 模型Ⅴ Model Ⅴ | 模型Ⅳ Model Ⅳ | 模型Ⅴ Model Ⅴ | |
OI | 0.021* [0.011] | 0.019 [0.014] | -0.006* [0.003] | 0.005 [0.005] | 0.015* [0.007] | 0.024 [0.018] |
WI | -0.052*** [0.019] | -0.046** [0.018] | -0.030** [0.015] | -0.068* [0.037] | -0.082** [0.032] | -0.014** [0.053] |
TI | 0.020 [0.015] | 0.016 [0.015] | 0.023 [0.019] | 0.020 [0.021] | 0.042 [0.033] | 0.035 [0.036] |
变量 Variable | 普通面板回归模型Ordinary panel regression model | 门槛模型Threshold model | ||
---|---|---|---|---|
系数 Coefficient | 稳健性标准误差 Robust standard error | 系数 Coefficient | 稳健性标准误差 Robust standard error | |
con_1 | — | — | 0.644*** | 0.107 |
con_2 | — | — | 0.061* | 0.032 |
lncon | 0.100** | 0.045 | — | — |
lnaloan | 0.537*** | 0.030 | 0.529*** | 0.027 |
education | 0.145*** | 0.039 | 0.155*** | 0.032 |
lnroad | 0.407** | 0.149 | 0.396*** | 0.126 |
lnafe | 0.089** | 0.041 | 0.071* | 0.039 |
lnaland | -0.08 | 0.345 | — | — |
α | 3.676*** | 0.949 | 3.970*** | 0.873 |
调整后的拟合优度Adjusted goodness of fit | 0.958 | 0.965 | ||
AIC | -703.8 | -745.1 | ||
BIC | -683.0 | -724.3 | ||
极大似然值Loglikelihood | 357.925 | 378.571 |
Table 10 Estimation results of threshold model
变量 Variable | 普通面板回归模型Ordinary panel regression model | 门槛模型Threshold model | ||
---|---|---|---|---|
系数 Coefficient | 稳健性标准误差 Robust standard error | 系数 Coefficient | 稳健性标准误差 Robust standard error | |
con_1 | — | — | 0.644*** | 0.107 |
con_2 | — | — | 0.061* | 0.032 |
lncon | 0.100** | 0.045 | — | — |
lnaloan | 0.537*** | 0.030 | 0.529*** | 0.027 |
education | 0.145*** | 0.039 | 0.155*** | 0.032 |
lnroad | 0.407** | 0.149 | 0.396*** | 0.126 |
lnafe | 0.089** | 0.041 | 0.071* | 0.039 |
lnaland | -0.08 | 0.345 | — | — |
α | 3.676*** | 0.949 | 3.970*** | 0.873 |
调整后的拟合优度Adjusted goodness of fit | 0.958 | 0.965 | ||
AIC | -703.8 | -745.1 | ||
BIC | -683.0 | -724.3 | ||
极大似然值Loglikelihood | 357.925 | 378.571 |
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