浙江农业学报 ›› 2025, Vol. 37 ›› Issue (7): 1580-1594.DOI: 10.3969/j.issn.1004-1524.20240766
收稿日期:
2024-08-30
出版日期:
2025-07-25
发布日期:
2025-08-20
作者简介:
张园园(1987—),女,山东济南人,博士,副教授,研究方向为涉农企业管理。E-mail:keyneee@sdau.edu.cn
基金资助:
Received:
2024-08-30
Online:
2025-07-25
Published:
2025-08-20
摘要:
饲料企业培育新质生产力对自身降本提质增效、饲料产业结构升级和现代化畜牧强国建设具有重要意义。基于饲料企业新质生产力的综合评价指标体系,首先测度了饲料企业新质生产力水平,分析其时空演变特征,剖析饲料企业新质生产力的障碍因子以揭示其发展阻滞,并通过前因组态分析探究其培育高水平新质生产力的具体路径。研究发现:1)饲料企业新质生产力水平虽整体波动上升但区域分异特征明显;中部地区饲料企业新质生产力水平发展态势较好,“低开高走”赶超整体年均水平;西部与中部相反,“高开低走”;东部与整体变动趋势较为一致,最终持平;东北与东部呈对称分布,后期发展动能不足,与整体差距不断拉大;区域内各饲料企业间新质生产力水平的差异是造成总体差异的关键;2)饲料企业新质生产力各构成要素的发展不均衡是形成个体差异的主要原因,新劳动资料和新劳动者两类要素层是其主要发展阻滞,新劳动对象要素层障碍度最低;3)基于多维前因条件组态分析发现,饲料企业培育高水平新质生产力是依靠技术、组织和环境等多维前因条件的协同驱动,具体分为大规模-高经济水平主导型、企业自身主导-高扶持辅助型、环境主导-规模辅助型和大规模、高经济水平主导-高扶持辅助型4种类型;其中,政府财政支持可等效替代饲料企业盈利能力强弱,以殊途同归的方式推动饲料企业培育高水平新质生产力;饲料企业自身实力强硬可弥补区域经济发展水平低的不足。因此,饲料企业应强化科技引领,聚焦创新突破;弘扬企业家精神,锻长板,补短板,推动饲料企业生产力向新质态嬗变,实现饲料产业高质量发展。
中图分类号:
张园园, 李蒙. 饲料企业新质生产力水平测度、发展阻滞与培育路径[J]. 浙江农业学报, 2025, 37(7): 1580-1594.
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.
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 |
表1 饲料企业新质生产力的综合评价指标体系和指标权重
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) |
表2 四个地理区域饲料企业新质生产力的泰尔指数及其贡献率
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 |
表3 饲料企业新质生产力障碍因子的分布情况
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 |
表4 四个区域及其次级省域饲料企业新质生产力分解指标障碍度
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 |
表5 各变量的校准锚点
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 |
表6 前因变量的必要性检验结果
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 |
表7 饲料企业高水平新质生产力组态结果
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 |
表8 提高一致性水平后饲料企业高水平新质生产力组态结果
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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