Acta Agriculturae Zhejiangensis ›› 2025, Vol. 37 ›› Issue (7): 1580-1594.DOI: 10.3969/j.issn.1004-1524.20240766
• Agricultural Economy and Development • Previous Articles Next Articles
Received:2024-08-30
															
							
															
							
															
							
																	Online:2025-07-25
															
							
																	Published:2025-08-20
															
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ZHANG Yuanyuan, LI Meng. The estimation of new quality productive forces level, developmental retardation and cultivation path of feed enterprises[J]. Acta Agriculturae Zhejiangensis, 2025, 37(7): 1580-1594.
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| 一级指标 First level indicators  |  二级指标 Second level indicators  |  三级指标 Third level indicators  |  指标说明 Indicator description  |  性质 Direction  |  权重 Weight  | 
|---|---|---|---|---|---|
| 新劳动者 New workers  |  劳动者意识 Worker consciousness  |  高学历人员占比(PHE) Proportion of highly educated personnel  |  衡量饲料企业员工的素质水平 Measure the quality level of employees in feed enterprises  |  + |  0.038 6 | 
| 研发人员占比(R&DP) Proportion of R&D personnel  |  + |  0.034 3 | |||
| 管理层数字化背景(DBM) Digital background for management  |  衡量饲料企业管理层的素质水平 Measure the quality level of management in feed enterprises  |  + |  0.236 2 | ||
| CEO职能经历丰 富度(CEO) Richness of CEO functional experience  |  + |  0.021 5 | |||
| 劳动者生产率 Worker productivity  |  研发人员薪资 占比(R&DS) Proportion of R&D personnel salary  |  衡量饲料企业新劳动者的创新价值 Measure the innovation value of new workers in feed enterprises  |  + |  0.065 8 | |
| 新劳动对象 New labor object  |  固定资产占比(PFA) Proportion of fixed assets 制造费用占比(PMC) Proportion of manufacturing costs  |  衡量饲料企业研制生物蛋白等新型饲料资源和引进 数字化设备生产新型饲料产品的价值 Measure the value of feed enterprises in developing new feed resources such as biologicalprotein and introducing digital equipment to produce new feed products  |  + +  |  0.019 4 0.001 1  | |
| 新劳动资料 New labor data  |  科技劳动资料 Technological labor material  |  企业创新水平(LEI) The level of enterprise innovation  |  衡量饲料企业生产力的高效化、绿色化和智能化水平 Measure the efficiency, green and intelligence level of the productivity of feed enterprises  |  + |  0.097 1 | 
| 绿色劳动资料 Green labor materials  |  绿色技术水平(GTL) Green technology level  |  衡量饲料企业生产力的绿色化水平 Measure the green level of the productivity of feed enterprises  |  + |  0.184 5 | |
| 数字劳动资料 Digital labor data  |  数字化转型程度(DIG) Degree of digital transformation  |  衡量饲料企业生产力的数字化水平 Measure the digital level of the productivity of feed enterprises  |  + |  0.157 5 | |
| 数字资产占比(PDA) Proportion of digital assets  |  衡量饲料企业对数字化战略的投资程度 Measure the investment degree of feed enterprises in digital strategy  |  + |  0.143 9 | 
Table 1 Comprehensive evaluation index system and index weight of new quality productive forces of feed enterprises
| 一级指标 First level indicators  |  二级指标 Second level indicators  |  三级指标 Third level indicators  |  指标说明 Indicator description  |  性质 Direction  |  权重 Weight  | 
|---|---|---|---|---|---|
| 新劳动者 New workers  |  劳动者意识 Worker consciousness  |  高学历人员占比(PHE) Proportion of highly educated personnel  |  衡量饲料企业员工的素质水平 Measure the quality level of employees in feed enterprises  |  + |  0.038 6 | 
| 研发人员占比(R&DP) Proportion of R&D personnel  |  + |  0.034 3 | |||
| 管理层数字化背景(DBM) Digital background for management  |  衡量饲料企业管理层的素质水平 Measure the quality level of management in feed enterprises  |  + |  0.236 2 | ||
| CEO职能经历丰 富度(CEO) Richness of CEO functional experience  |  + |  0.021 5 | |||
| 劳动者生产率 Worker productivity  |  研发人员薪资 占比(R&DS) Proportion of R&D personnel salary  |  衡量饲料企业新劳动者的创新价值 Measure the innovation value of new workers in feed enterprises  |  + |  0.065 8 | |
| 新劳动对象 New labor object  |  固定资产占比(PFA) Proportion of fixed assets 制造费用占比(PMC) Proportion of manufacturing costs  |  衡量饲料企业研制生物蛋白等新型饲料资源和引进 数字化设备生产新型饲料产品的价值 Measure the value of feed enterprises in developing new feed resources such as biologicalprotein and introducing digital equipment to produce new feed products  |  + +  |  0.019 4 0.001 1  | |
| 新劳动资料 New labor data  |  科技劳动资料 Technological labor material  |  企业创新水平(LEI) The level of enterprise innovation  |  衡量饲料企业生产力的高效化、绿色化和智能化水平 Measure the efficiency, green and intelligence level of the productivity of feed enterprises  |  + |  0.097 1 | 
| 绿色劳动资料 Green labor materials  |  绿色技术水平(GTL) Green technology level  |  衡量饲料企业生产力的绿色化水平 Measure the green level of the productivity of feed enterprises  |  + |  0.184 5 | |
| 数字劳动资料 Digital labor data  |  数字化转型程度(DIG) Degree of digital transformation  |  衡量饲料企业生产力的数字化水平 Measure the digital level of the productivity of feed enterprises  |  + |  0.157 5 | |
| 数字资产占比(PDA) Proportion of digital assets  |  衡量饲料企业对数字化战略的投资程度 Measure the investment degree of feed enterprises in digital strategy  |  + |  0.143 9 | 
| 年份 Year  |  总体差异 Overall differences  |  区域间差异 Interval difference  |  区域内差异Differences within the region | ||||
|---|---|---|---|---|---|---|---|
| 总体 Overall  |  东部地区 Eastern region  |  中部地区 Central region  |  西部地区 Western region  |  东北地区 Northeast region  | |||
| 2015 | 0.242 2 | 0.061 4 (0.253 4)  |  0.180 8 (0.746 6)  |  0.175 4 (0.390 6)  |  0.070 3 (0.034 6)  |  0.228 9 (0.210 3)  |  0.225 8 (0.111 0)  | 
| 2016 | 0.217 5 | 0.049 2 (0.226 2)  |  0.168 3 (0.773 8)  |  0.136 1 (0.333 6)  |  0.157 6 (0.077 6)  |  0.272 8 (0.242 8)  |  0.156 9 (0.119 9)  | 
| 2017 | 0.184 6 | 0.038 4 (0.208 0)  |  0.146 2 (0.792 1)  |  0.146 4 (0.393 9)  |  0.131 9 (0.094 7)  |  0.138 3 (0.176 4)  |  0.172 9 (0.127 1)  | 
| 2018 | 0.136 1 | 0.012 8 (0.094 1)  |  0.123 3 (0.905 9)  |  0.032 4 (0.093 9)  |  0.188 4 (0.203 9)  |  0.192 8 (0.346 6)  |  0.166 6 (0.261 5)  | 
| 2019 | 0.180 7 | 0.024 4 (0.135 2)  |  0.156 3 (0.864 8)  |  0.086 6 (0.175 4)  |  0.072 5 (0.055 1)  |  0.265 4 (0.387 2)  |  0.191 3 (0.247 1)  | 
| 2020 | 0.181 3 | 0.021 8 (0.120 1)  |  0.159 6 (0.879 9)  |  0.106 6 (0.233 5)  |  0.105 2 (0.074 8)  |  0.220 2 (0.305 2)  |  0.217 0 (0.266 5)  | 
| 2021 | 0.157 1 | 0.015 4 (0.098 0)  |  0.141 7 (0.902 0)  |  0.078 9 (0.191 9)  |  0.039 0 (0.036 0)  |  0.227 3 (0.354 5)  |  0.220 2 (0.319 7)  | 
| 2022 | 0.145 5 | 0.007 3 (0.049 9)  |  0.138 2 (0.950 1)  |  0.114 1 (0.301 1)  |  0.064 0 (0.079 7)  |  0.163 3 (0.279 2)  |  0.226 8 (0.290 1)  | 
| 2023 | 0.133 8 | 0.006 9 (0.051 9)  |  0.126 9 (0.948 2)  |  0.126 6 (0.359 8)  |  0.019 6 (0.035 0)  |  0.142 0 (0.225 3)  |  0.260 0 (0.328 1)  | 
Table 2 Theil index and contribution rate of new quality productive forces of feed enterprises in the four regions
| 年份 Year  |  总体差异 Overall differences  |  区域间差异 Interval difference  |  区域内差异Differences within the region | ||||
|---|---|---|---|---|---|---|---|
| 总体 Overall  |  东部地区 Eastern region  |  中部地区 Central region  |  西部地区 Western region  |  东北地区 Northeast region  | |||
| 2015 | 0.242 2 | 0.061 4 (0.253 4)  |  0.180 8 (0.746 6)  |  0.175 4 (0.390 6)  |  0.070 3 (0.034 6)  |  0.228 9 (0.210 3)  |  0.225 8 (0.111 0)  | 
| 2016 | 0.217 5 | 0.049 2 (0.226 2)  |  0.168 3 (0.773 8)  |  0.136 1 (0.333 6)  |  0.157 6 (0.077 6)  |  0.272 8 (0.242 8)  |  0.156 9 (0.119 9)  | 
| 2017 | 0.184 6 | 0.038 4 (0.208 0)  |  0.146 2 (0.792 1)  |  0.146 4 (0.393 9)  |  0.131 9 (0.094 7)  |  0.138 3 (0.176 4)  |  0.172 9 (0.127 1)  | 
| 2018 | 0.136 1 | 0.012 8 (0.094 1)  |  0.123 3 (0.905 9)  |  0.032 4 (0.093 9)  |  0.188 4 (0.203 9)  |  0.192 8 (0.346 6)  |  0.166 6 (0.261 5)  | 
| 2019 | 0.180 7 | 0.024 4 (0.135 2)  |  0.156 3 (0.864 8)  |  0.086 6 (0.175 4)  |  0.072 5 (0.055 1)  |  0.265 4 (0.387 2)  |  0.191 3 (0.247 1)  | 
| 2020 | 0.181 3 | 0.021 8 (0.120 1)  |  0.159 6 (0.879 9)  |  0.106 6 (0.233 5)  |  0.105 2 (0.074 8)  |  0.220 2 (0.305 2)  |  0.217 0 (0.266 5)  | 
| 2021 | 0.157 1 | 0.015 4 (0.098 0)  |  0.141 7 (0.902 0)  |  0.078 9 (0.191 9)  |  0.039 0 (0.036 0)  |  0.227 3 (0.354 5)  |  0.220 2 (0.319 7)  | 
| 2022 | 0.145 5 | 0.007 3 (0.049 9)  |  0.138 2 (0.950 1)  |  0.114 1 (0.301 1)  |  0.064 0 (0.079 7)  |  0.163 3 (0.279 2)  |  0.226 8 (0.290 1)  | 
| 2023 | 0.133 8 | 0.006 9 (0.051 9)  |  0.126 9 (0.948 2)  |  0.126 6 (0.359 8)  |  0.019 6 (0.035 0)  |  0.142 0 (0.225 3)  |  0.260 0 (0.328 1)  | 
| 企业编码 Enterprise code  |  一级指标障碍度First indicator obstacle degree | 障碍因子排序Ranking of obstacle factors | ||||
|---|---|---|---|---|---|---|
| 新劳动者 New worker  |  新劳动对象 New labor object  |  新劳动资料 New labor data  |  1 First  |  2 Second  |  3 Third  | |
| C1 | 0.324 3 | 0.018 8 | 0.656 9 | GTL | DBM | PDA | 
| C2 | 0.388 7 | 0.024 8 | 0.586 5 | PDA | GTL | DBM | 
| C3 | 0.222 8 | 0.014 3 | 0.762 8 | GTL | DIG | PDA | 
| C4 | 0.399 4 | 0.019 8 | 0.580 8 | PDA | DBM | GTL | 
| C5 | 0.205 0 | 0.018 8 | 0.776 3 | GTL | DIG | PDA | 
| C6 | 0.544 8 | 0.007 9 | 0.447 2 | DBM | PDA | DIG | 
| C7 | 0.478 1 | 0.013 5 | 0.508 3 | DBM | PDA | GTL | 
| C8 | 0.449 5 | 0.016 1 | 0.534 4 | DBM | GTL | PDA | 
| C9 | 0.296 4 | 0.020 4 | 0.683 2 | GTL | DIG | PDA | 
| C10 | 0.262 6 | 0.008 0 | 0.729 4 | GTL | DIG | PDA | 
| C11 | 0.409 2 | 0.016 9 | 0.573 9 | DBM | GTL | DIG | 
| C12 | 0.397 4 | 0.009 3 | 0.593 2 | DBM | GTL | DIG | 
| C13 | 0.406 7 | 0.013 4 | 0.579 9 | DBM | GTL | DIG | 
| C14 | 0.402 6 | 0.009 6 | 0.587 8 | DBM | GTL | PDA | 
| C15 | 0.408 2 | 0.017 1 | 0.574 7 | DBM | GTL | PDA | 
| C16 | 0.407 6 | 0.015 1 | 0.577 3 | DBM | GTL | PDA | 
| C17 | 0.348 7 | 0.009 4 | 0.641 9 | DBM | GTL | DIG | 
| C18 | 0.390 1 | 0.019 8 | 0.590 1 | DBM | GTL | DIG | 
| C19 | 0.373 9 | 0.014 1 | 0.612 1 | DBM | GTL | DIG | 
| C20 | 0.396 7 | 0.008 7 | 0.594 6 | DBM | GTL | DIG | 
| C21 | 0.390 2 | 0.008 9 | 0.600 9 | DBM | GTL | DIG | 
| C22 | 0.374 9 | 0.011 6 | 0.613 5 | DBM | GTL | DIG | 
| C23 | 0.311 3 | 0.019 1 | 0.669 6 | GTL | DIG | PDA | 
| C24 | 0.393 6 | 0.002 6 | 0.603 7 | DBM | GTL | DIG | 
| C25 | 0.380 2 | 0.014 2 | 0.605 6 | DBM | GTL | DIG | 
| C26 | 0.344 9 | 0.010 9 | 0.644 2 | DBM | GTL | DIG | 
| C27 | 0.382 7 | 0.014 3 | 0.603 0 | DBM | GTL | DIG | 
| C28 | 0.396 0 | 0.013 9 | 0.590 2 | DBM | GTL | DIG | 
| C29 | 0.387 3 | 0.013 5 | 0.599 2 | DBM | GTL | DIG | 
Table 3 Distribution of obstacles to new quality productive forces in feed enterprises
| 企业编码 Enterprise code  |  一级指标障碍度First indicator obstacle degree | 障碍因子排序Ranking of obstacle factors | ||||
|---|---|---|---|---|---|---|
| 新劳动者 New worker  |  新劳动对象 New labor object  |  新劳动资料 New labor data  |  1 First  |  2 Second  |  3 Third  | |
| C1 | 0.324 3 | 0.018 8 | 0.656 9 | GTL | DBM | PDA | 
| C2 | 0.388 7 | 0.024 8 | 0.586 5 | PDA | GTL | DBM | 
| C3 | 0.222 8 | 0.014 3 | 0.762 8 | GTL | DIG | PDA | 
| C4 | 0.399 4 | 0.019 8 | 0.580 8 | PDA | DBM | GTL | 
| C5 | 0.205 0 | 0.018 8 | 0.776 3 | GTL | DIG | PDA | 
| C6 | 0.544 8 | 0.007 9 | 0.447 2 | DBM | PDA | DIG | 
| C7 | 0.478 1 | 0.013 5 | 0.508 3 | DBM | PDA | GTL | 
| C8 | 0.449 5 | 0.016 1 | 0.534 4 | DBM | GTL | PDA | 
| C9 | 0.296 4 | 0.020 4 | 0.683 2 | GTL | DIG | PDA | 
| C10 | 0.262 6 | 0.008 0 | 0.729 4 | GTL | DIG | PDA | 
| C11 | 0.409 2 | 0.016 9 | 0.573 9 | DBM | GTL | DIG | 
| C12 | 0.397 4 | 0.009 3 | 0.593 2 | DBM | GTL | DIG | 
| C13 | 0.406 7 | 0.013 4 | 0.579 9 | DBM | GTL | DIG | 
| C14 | 0.402 6 | 0.009 6 | 0.587 8 | DBM | GTL | PDA | 
| C15 | 0.408 2 | 0.017 1 | 0.574 7 | DBM | GTL | PDA | 
| C16 | 0.407 6 | 0.015 1 | 0.577 3 | DBM | GTL | PDA | 
| C17 | 0.348 7 | 0.009 4 | 0.641 9 | DBM | GTL | DIG | 
| C18 | 0.390 1 | 0.019 8 | 0.590 1 | DBM | GTL | DIG | 
| C19 | 0.373 9 | 0.014 1 | 0.612 1 | DBM | GTL | DIG | 
| C20 | 0.396 7 | 0.008 7 | 0.594 6 | DBM | GTL | DIG | 
| C21 | 0.390 2 | 0.008 9 | 0.600 9 | DBM | GTL | DIG | 
| C22 | 0.374 9 | 0.011 6 | 0.613 5 | DBM | GTL | DIG | 
| C23 | 0.311 3 | 0.019 1 | 0.669 6 | GTL | DIG | PDA | 
| C24 | 0.393 6 | 0.002 6 | 0.603 7 | DBM | GTL | DIG | 
| C25 | 0.380 2 | 0.014 2 | 0.605 6 | DBM | GTL | DIG | 
| C26 | 0.344 9 | 0.010 9 | 0.644 2 | DBM | GTL | DIG | 
| C27 | 0.382 7 | 0.014 3 | 0.603 0 | DBM | GTL | DIG | 
| C28 | 0.396 0 | 0.013 9 | 0.590 2 | DBM | GTL | DIG | 
| C29 | 0.387 3 | 0.013 5 | 0.599 2 | DBM | GTL | DIG | 
| 区域 Region  |  次级省域 Secondary provinces  |  新劳动者 New workers  |  新劳动对象 New labor object  |  新劳动资料 New labour data  | 
|---|---|---|---|---|
| 东部地区 | 北京Beijing | 0.403 8 | 0.018 5 | 0.577 7 | 
| Eastern region | 福建Fujian | 0.426 5 | 0.010 4 | 0.563 1 | 
| 广东Guangdong | 0.301 1 | 0.017 2 | 0.681 7 | |
| 江苏Jiangsu | 0.348 7 | 0.009 4 | 0.641 9 | |
| 上海Shanghai | 0.339 5 | 0.017 3 | 0.643 1 | |
| 浙江Zhejiang | 0.344 5 | 0.013 6 | 0.641 8 | |
| 中部地区 | 河南Henan | 0.400 0 | 0.009 5 | 0.590 5 | 
| Central region | 湖北Hubei | 0.365 1 | 0.013 8 | 0.621 1 | 
| 湖南Hunan | 0.409 2 | 0.016 9 | 0.573 9 | |
| 西部地区 | 广西Guangxi | 0.466 7 | 0.016 4 | 0.516 9 | 
| Western region | 四川Sichuan | 0.370 4 | 0.012 4 | 0.617 2 | 
| 新疆Xinjiang | 0.406 7 | 0.013 4 | 0.579 9 | |
| 东北地区 | 黑龙江Heilongjiang | 0.449 5 | 0.016 1 | 0.534 4 | 
| Northeast region | 吉林Jilin | 0.262 6 | 0.008 0 | 0.729 4 | 
| 辽宁Liaoning | 0.380 2 | 0.014 2 | 0.605 6 | 
Table 4 Obstacles to the decomposition indicators of new quality productive forces of feed enterprises in the four regions and their secondary provinces
| 区域 Region  |  次级省域 Secondary provinces  |  新劳动者 New workers  |  新劳动对象 New labor object  |  新劳动资料 New labour data  | 
|---|---|---|---|---|
| 东部地区 | 北京Beijing | 0.403 8 | 0.018 5 | 0.577 7 | 
| Eastern region | 福建Fujian | 0.426 5 | 0.010 4 | 0.563 1 | 
| 广东Guangdong | 0.301 1 | 0.017 2 | 0.681 7 | |
| 江苏Jiangsu | 0.348 7 | 0.009 4 | 0.641 9 | |
| 上海Shanghai | 0.339 5 | 0.017 3 | 0.643 1 | |
| 浙江Zhejiang | 0.344 5 | 0.013 6 | 0.641 8 | |
| 中部地区 | 河南Henan | 0.400 0 | 0.009 5 | 0.590 5 | 
| Central region | 湖北Hubei | 0.365 1 | 0.013 8 | 0.621 1 | 
| 湖南Hunan | 0.409 2 | 0.016 9 | 0.573 9 | |
| 西部地区 | 广西Guangxi | 0.466 7 | 0.016 4 | 0.516 9 | 
| Western region | 四川Sichuan | 0.370 4 | 0.012 4 | 0.617 2 | 
| 新疆Xinjiang | 0.406 7 | 0.013 4 | 0.579 9 | |
| 东北地区 | 黑龙江Heilongjiang | 0.449 5 | 0.016 1 | 0.534 4 | 
| Northeast region | 吉林Jilin | 0.262 6 | 0.008 0 | 0.729 4 | 
| 辽宁Liaoning | 0.380 2 | 0.014 2 | 0.605 6 | 
| 变量类型 Variable type  |  变量 Variable  |  校准锚点Calibration point | ||
|---|---|---|---|---|
| 完全隶属 Complete affiliation  |  交叉点 Intersection  |  完全不隶属 Not affiliated at all  | ||
| 结果变量Outcome variable | 饲料企业新质生产力New quality productive forces of feed enterprises | 0.23 | 0.13 | 0.07 | 
| 条件变量 | 创新投入Innovation input | 0.03 | 0.02 | 0.01 | 
| Conditional variables | 企业规模Enterprise size | 13.46 | 11.21 | 9.83 | 
| 盈利能力Profitability | 0.07 | 0.04 | 0.01 | |
| 政府财政支持Government financial support | 16.90 | 14.48 | 13.30 | |
| 省域经济发展水平Provincial level of economic development | 10.02 | 8.61 | 5.47 | |
Table 5 Calibration anchor points for each variable
| 变量类型 Variable type  |  变量 Variable  |  校准锚点Calibration point | ||
|---|---|---|---|---|
| 完全隶属 Complete affiliation  |  交叉点 Intersection  |  完全不隶属 Not affiliated at all  | ||
| 结果变量Outcome variable | 饲料企业新质生产力New quality productive forces of feed enterprises | 0.23 | 0.13 | 0.07 | 
| 条件变量 | 创新投入Innovation input | 0.03 | 0.02 | 0.01 | 
| Conditional variables | 企业规模Enterprise size | 13.46 | 11.21 | 9.83 | 
| 盈利能力Profitability | 0.07 | 0.04 | 0.01 | |
| 政府财政支持Government financial support | 16.90 | 14.48 | 13.30 | |
| 省域经济发展水平Provincial level of economic development | 10.02 | 8.61 | 5.47 | |
| 前因变量 Antecedent variables  |  饲料企业高水平新质生产力 High-level new quality productive forces of feed enterprises  | |
|---|---|---|
| 一致性 Consistence  |  覆盖度 Coverage  | |
| 创新投入 Innovation input  |  0.409 | 0.483 | 
| ~创新投入 ~Innovation input  |  0.643 | 0.583 | 
| 企业规模 Enterprise size  |  0.801 | 0.852 | 
| ~企业规模 ~Enterprise size  |  0.298 | 0.295 | 
| 盈利能力 Profitability  |  0.546 | 0.523 | 
| ~盈利能力 ~Profitability  |  0.583 | 0.642 | 
| 政府财政支持 Government financial support  |  0.778 | 0.767 | 
| ~政府财政支持 ~Government financial support  |  0.343 | 0.366 | 
| 省域经济发展水平 Provincial level of economic development  |  0.530 |  0.534 | 
| ~省域经济发展水平 ~Provincial level of economic development  |  0.540 |  0.563 | 
Table 6 Results of necessity test for antecedent conditions
| 前因变量 Antecedent variables  |  饲料企业高水平新质生产力 High-level new quality productive forces of feed enterprises  | |
|---|---|---|
| 一致性 Consistence  |  覆盖度 Coverage  | |
| 创新投入 Innovation input  |  0.409 | 0.483 | 
| ~创新投入 ~Innovation input  |  0.643 | 0.583 | 
| 企业规模 Enterprise size  |  0.801 | 0.852 | 
| ~企业规模 ~Enterprise size  |  0.298 | 0.295 | 
| 盈利能力 Profitability  |  0.546 | 0.523 | 
| ~盈利能力 ~Profitability  |  0.583 | 0.642 | 
| 政府财政支持 Government financial support  |  0.778 | 0.767 | 
| ~政府财政支持 ~Government financial support  |  0.343 | 0.366 | 
| 省域经济发展水平 Provincial level of economic development  |  0.530 |  0.534 | 
| ~省域经济发展水平 ~Provincial level of economic development  |  0.540 |  0.563 | 
| 前因变量 Antecedent variables  |  饲料企业高水平新质生产力 High-level new quality productive forces of feed enterprises  | |||
|---|---|---|---|---|
| H1 | H2 | H3 | H4 | |
| 创新投入Innovation input | ⊗ | ⊗ | ||
| 企业规模Enterprise size | ● | ● | • | ● | 
| 盈利能力Profitability | △ | ● | ⊗ | |
| 政府财政支持Government financial support | • | ● | • | |
| 省域经济发展水平Provincial level of economic development | ● | △ | ● | ● | 
| 一致性Consistence | 0.948 6 | 0.949 2 | 0.972 6 | 0.901 1 | 
| 原始覆盖度Raw coverage | 0.223 5 | 0.251 7 | 0.262 5 | 0.269 9 | 
| 唯一覆盖度Unique coverage | 0.055 2 | 0.206 6 | 0.085 5 | 0.094 9 | 
| 解的一致性Solution consistency | 0.936 6 | |||
| 解的覆盖度Solution coverage | 0.625 9 | |||
Table 7 Configuration results of high-level new quality productive forces in feed enterprises
| 前因变量 Antecedent variables  |  饲料企业高水平新质生产力 High-level new quality productive forces of feed enterprises  | |||
|---|---|---|---|---|
| H1 | H2 | H3 | H4 | |
| 创新投入Innovation input | ⊗ | ⊗ | ||
| 企业规模Enterprise size | ● | ● | • | ● | 
| 盈利能力Profitability | △ | ● | ⊗ | |
| 政府财政支持Government financial support | • | ● | • | |
| 省域经济发展水平Provincial level of economic development | ● | △ | ● | ● | 
| 一致性Consistence | 0.948 6 | 0.949 2 | 0.972 6 | 0.901 1 | 
| 原始覆盖度Raw coverage | 0.223 5 | 0.251 7 | 0.262 5 | 0.269 9 | 
| 唯一覆盖度Unique coverage | 0.055 2 | 0.206 6 | 0.085 5 | 0.094 9 | 
| 解的一致性Solution consistency | 0.936 6 | |||
| 解的覆盖度Solution coverage | 0.625 9 | |||
| 前因变量 Antecedent variables  |  饲料企业高水平新质生产力 High-level new quality productive forces of feed enterprises  | ||
|---|---|---|---|
| H1 | H2 | H3 | |
| 创新投入Innovation input | ⊗ | ||
| 企业规模Enterprise size | ● | ● | • | 
| 盈利能力Profitability | △ | ● | ⊗ | 
| 政府财政支持Government financial support | • | ● | |
| 省域经济发展水平Provincial level of economic development | ● | △ | ● | 
| 一致性Consistence | 0.948 6 | 0.949 2 | 0.972 6 | 
| 原始覆盖度Raw coverage | 0.223 5 | 0.251 7 | 0.262 5 | 
| 唯一覆盖度Unique coverage | 0.055 2 | 0.213 3 | 0.085 5 | 
| 解的一致性Solution consistency | 0.948 3 | ||
| 解的覆盖度Solution coverage | 0.531 0 | ||
Table 8 The configuration results of high level new quality productive forces in feed enterprises after improving consistency level
| 前因变量 Antecedent variables  |  饲料企业高水平新质生产力 High-level new quality productive forces of feed enterprises  | ||
|---|---|---|---|
| H1 | H2 | H3 | |
| 创新投入Innovation input | ⊗ | ||
| 企业规模Enterprise size | ● | ● | • | 
| 盈利能力Profitability | △ | ● | ⊗ | 
| 政府财政支持Government financial support | • | ● | |
| 省域经济发展水平Provincial level of economic development | ● | △ | ● | 
| 一致性Consistence | 0.948 6 | 0.949 2 | 0.972 6 | 
| 原始覆盖度Raw coverage | 0.223 5 | 0.251 7 | 0.262 5 | 
| 唯一覆盖度Unique coverage | 0.055 2 | 0.213 3 | 0.085 5 | 
| 解的一致性Solution consistency | 0.948 3 | ||
| 解的覆盖度Solution coverage | 0.531 0 | ||
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