

World Regional Studies ›› 2026, Vol. 35 ›› Issue (5): 100-113.DOI: 10.3969/j.issn.1004-9479.2026.05.20240913
Mingyue YAN1,2(
), Mingtao YAN2, Ye ZHANG1(
), Jianji ZHAO2
Received:2024-10-23
Revised:2025-03-06
Online:2026-05-15
Published:2026-05-27
Contact:
Ye ZHANG
通讯作者:
张野
作者简介:闫明月(1997—),女,博士研究生,研究方向为高质量发展,E-mail: Yanmy@henu.edu.cn。
基金资助:Mingyue YAN, Mingtao YAN, Ye ZHANG, Jianji ZHAO. Regional disparities and influencing factors of New Quality Productive Forces in the three major river basins of China[J]. World Regional Studies, 2026, 35(5): 100-113.
闫明月, 闫明涛, 张野, 赵建吉. 中国三大流域新质生产力区域差异及影响因素[J]. 世界地理研究, 2026, 35(5): 100-113.
| 维度层 | 准则层 | 指标衡量方式 | 权重 | 属性 |
|---|---|---|---|---|
| 科技创新驱动 | 创新投入 | R&D经费投入强度(Xrde ) | 0.037 | 正向 |
| 科技企业孵化器数量(Xinc ) | 0.094 | 正向 | ||
| 创新产出 | 每万人拥有国内3种专利申请授权数(Xpat ) | 0.071 | 正向 | |
| 每万人拥有国外主要检索工具收录我国科技论文数量(Xpap ) | 0.066 | 正向 | ||
| 新质生产要素 | 新质劳动者 | R&D人员全时当量(Xrdp ) | 0.072 | 正向 |
| 信息传输、计算机服务和软件业从业人员占比(Xemp ) | 0.041 | 正向 | ||
| 人均受教育平均年限(Xedu ) | 0.011 | 正向 | ||
| 每万人在校大学生数量(Xstu ) | 0.013 | 正向 | ||
| 新质劳动对象 | 每万人互联网宽带接入端口数(Xwid ) | 0.028 | 正向 | |
| 软件业务总量占第三产业增加值比重(Xsof ) | 0.073 | 正向 | ||
| 电子商务销售额占GDP比重(Xele ) | 0.039 | 正向 | ||
| 可再生能源(水电、风电、太阳能)发电量(Xene ) | 0.071 | 正向 | ||
| 新质劳动资料 | 高新技术产业营业收入(Xhig ) | 0.098 | 正向 | |
| 机器人安装原始密度(Xrob ) | 0.097 | 正向 | ||
| 平均每个规上工业企业技术改造经费支出额(Xrem ) | 0.044 | 正向 | ||
| 每万人绿色专利授权数(Xgre ) | 0.065 | 正向 | ||
| 高新技术企业数(Xent ) | 0.080 | 正向 |
Tab.1 Evaluation index system for measuring new quality productive forces in the three major river basins
| 维度层 | 准则层 | 指标衡量方式 | 权重 | 属性 |
|---|---|---|---|---|
| 科技创新驱动 | 创新投入 | R&D经费投入强度(Xrde ) | 0.037 | 正向 |
| 科技企业孵化器数量(Xinc ) | 0.094 | 正向 | ||
| 创新产出 | 每万人拥有国内3种专利申请授权数(Xpat ) | 0.071 | 正向 | |
| 每万人拥有国外主要检索工具收录我国科技论文数量(Xpap ) | 0.066 | 正向 | ||
| 新质生产要素 | 新质劳动者 | R&D人员全时当量(Xrdp ) | 0.072 | 正向 |
| 信息传输、计算机服务和软件业从业人员占比(Xemp ) | 0.041 | 正向 | ||
| 人均受教育平均年限(Xedu ) | 0.011 | 正向 | ||
| 每万人在校大学生数量(Xstu ) | 0.013 | 正向 | ||
| 新质劳动对象 | 每万人互联网宽带接入端口数(Xwid ) | 0.028 | 正向 | |
| 软件业务总量占第三产业增加值比重(Xsof ) | 0.073 | 正向 | ||
| 电子商务销售额占GDP比重(Xele ) | 0.039 | 正向 | ||
| 可再生能源(水电、风电、太阳能)发电量(Xene ) | 0.071 | 正向 | ||
| 新质劳动资料 | 高新技术产业营业收入(Xhig ) | 0.098 | 正向 | |
| 机器人安装原始密度(Xrob ) | 0.097 | 正向 | ||
| 平均每个规上工业企业技术改造经费支出额(Xrem ) | 0.044 | 正向 | ||
| 每万人绿色专利授权数(Xgre ) | 0.065 | 正向 | ||
| 高新技术企业数(Xent ) | 0.080 | 正向 |
| 指标类型 | 驱动因素 | 具体指标 |
|---|---|---|
| 经济基础 | 经济水平(Xeco ) | 人均GDP |
| 经济结构(Xstr ) | 第三产业与第二产业产值之比 | |
| 市场规模(Xmar ) | 社会消费品零售总额占GDP比重 | |
| 资本投入(Xcap ) | 资本存量 | |
| 要素保障 | 数据化(Xdig ) | 数字普惠金融指数 |
| 信息化(Xinf ) | 长途光缆线密度 | |
| 人力资本(Xlab ) | 科学研究和技术服务业就业人员占比 | |
| 交通设施(Xtra ) | 人均道路面积 | |
| 产业升级 | 产业高级化(Xhtc ) | 第一产业增加值×1+第二产业增加值×2+第三产业增加值×3 |
| 产业绿色发展(Xgid ) | 1/单位GDP能源消费量 | |
| 产业集聚(Xagg ) | 平均每个火炬特色产业基地内企业数量 | |
| 创业活跃度(Xven ) | 百人新创企业数 |
Tab.2 Selection of influencing factors of new quality productive forces in the three major river basins
| 指标类型 | 驱动因素 | 具体指标 |
|---|---|---|
| 经济基础 | 经济水平(Xeco ) | 人均GDP |
| 经济结构(Xstr ) | 第三产业与第二产业产值之比 | |
| 市场规模(Xmar ) | 社会消费品零售总额占GDP比重 | |
| 资本投入(Xcap ) | 资本存量 | |
| 要素保障 | 数据化(Xdig ) | 数字普惠金融指数 |
| 信息化(Xinf ) | 长途光缆线密度 | |
| 人力资本(Xlab ) | 科学研究和技术服务业就业人员占比 | |
| 交通设施(Xtra ) | 人均道路面积 | |
| 产业升级 | 产业高级化(Xhtc ) | 第一产业增加值×1+第二产业增加值×2+第三产业增加值×3 |
| 产业绿色发展(Xgid ) | 1/单位GDP能源消费量 | |
| 产业集聚(Xagg ) | 平均每个火炬特色产业基地内企业数量 | |
| 创业活跃度(Xven ) | 百人新创企业数 |
| 地区 | 省份 | 2012 | 2022 | 排名 | 年均增长率/% | 地区 | 省份 | 2012 | 2022 | 排名 | 年均增长率/% |
|---|---|---|---|---|---|---|---|---|---|---|---|
长江 流域 | 上海 | 0.234 | 0.487 | 3 | 7.56 | 黄河流域 | 陕西 | 0.130 | 0.254 | 9 | 6.85 |
| 江苏 | 0.316 | 0.620 | 2 | 6.91 | 甘肃 | 0.141 | 0.162 | 16 | 1.39 | ||
| 浙江 | 0.187 | 0.465 | 4 | 9.68 | 青海 | 0.107 | 0.173 | 15 | 4.89 | ||
| 安徽 | 0.070 | 0.232 | 10 | 12.6 | 宁夏 | 0.046 | 0.182 | 12 | 14.84 | ||
| 湖北 | 0.156 | 0.290 | 7 | 6.34 | 均值 | 0.102 | 0.194 | 6.69 | |||
| 重庆 | 0.114 | 0.257 | 8 | 8.58 | 珠江流域 | 江西 | 0.044 | 0.147 | 17 | 12.65 | |
| 四川 | 0.186 | 0.293 | 6 | 4.73 | 湖南 | 0.118 | 0.179 | 14 | 4.26 | ||
| 均值 | 0.180 | 0.378 | 7.66 | 广东 | 0.279 | 0.677 | 1 | 9.30 | |||
黄河 流域 | 山西 | 0.122 | 0.122 | 20 | 0.00 | 广西 | 0.109 | 0.134 | 19 | 2.09 | |
| 内蒙古 | 0.057 | 0.120 | 21 | 7.58 | 贵州 | 0.147 | 0.139 | 18 | -0.56 | ||
| 山东 | 0.154 | 0.362 | 5 | 9.18 | 云南 | 0.133 | 0.211 | 11 | 4.78 | ||
| 河南 | 0.059 | 0.180 | 13 | 11.79 | 均值 | 0.138 | 0.248 | 5.89 |
Tab.3 Development index and average annual growth rate of new quality productive forces in the three major river basins
| 地区 | 省份 | 2012 | 2022 | 排名 | 年均增长率/% | 地区 | 省份 | 2012 | 2022 | 排名 | 年均增长率/% |
|---|---|---|---|---|---|---|---|---|---|---|---|
长江 流域 | 上海 | 0.234 | 0.487 | 3 | 7.56 | 黄河流域 | 陕西 | 0.130 | 0.254 | 9 | 6.85 |
| 江苏 | 0.316 | 0.620 | 2 | 6.91 | 甘肃 | 0.141 | 0.162 | 16 | 1.39 | ||
| 浙江 | 0.187 | 0.465 | 4 | 9.68 | 青海 | 0.107 | 0.173 | 15 | 4.89 | ||
| 安徽 | 0.070 | 0.232 | 10 | 12.6 | 宁夏 | 0.046 | 0.182 | 12 | 14.84 | ||
| 湖北 | 0.156 | 0.290 | 7 | 6.34 | 均值 | 0.102 | 0.194 | 6.69 | |||
| 重庆 | 0.114 | 0.257 | 8 | 8.58 | 珠江流域 | 江西 | 0.044 | 0.147 | 17 | 12.65 | |
| 四川 | 0.186 | 0.293 | 6 | 4.73 | 湖南 | 0.118 | 0.179 | 14 | 4.26 | ||
| 均值 | 0.180 | 0.378 | 7.66 | 广东 | 0.279 | 0.677 | 1 | 9.30 | |||
黄河 流域 | 山西 | 0.122 | 0.122 | 20 | 0.00 | 广西 | 0.109 | 0.134 | 19 | 2.09 | |
| 内蒙古 | 0.057 | 0.120 | 21 | 7.58 | 贵州 | 0.147 | 0.139 | 18 | -0.56 | ||
| 山东 | 0.154 | 0.362 | 5 | 9.18 | 云南 | 0.133 | 0.211 | 11 | 4.78 | ||
| 河南 | 0.059 | 0.180 | 13 | 11.79 | 均值 | 0.138 | 0.248 | 5.89 |
| 变量 | 长江流域 | 黄河流域 | 珠江流域 | |||
|---|---|---|---|---|---|---|
| q值 | 排序 | q值 | 排序 | q值 | 排序 | |
| Xeco | 0.700*** | 2 | 0.436*** | 6 | 0.825*** | 3 |
| Xstr | 0.302* | 4 | 0.157* | 11 | 0.178* | 12 |
| Xmar | 0.346*** | 9 | 0.172*** | 8 | 0.379*** | 9 |
| Xcap | 0.566*** | 12 | 0.555*** | 2 | 0.735*** | 4 |
| Xdig | 0.531*** | 5 | 0.350*** | 7 | 0.370* | 10 |
| Xinf | 0.549*** | 1 | 0.267*** | 5 | 0.547*** | 8 |
| Xlab | 0.192** | 3 | 0.104 | 12 | 0.240* | 11 |
| Xtra | 0.582*** | 10 | 0.224** | 10 | 0.536*** | 6 |
| Xhtc | 0.651*** | 7 | 0.585*** | 1 | 0.922*** | 1 |
| Xgid | 0.525*** | 6 | 0.468*** | 4 | 0.668*** | 5 |
| Xagg | 0.305*** | 8 | 0.610*** | 3 | 0.886*** | 2 |
| Xven | 0.626*** | 11 | 0.319*** | 9 | 0.605*** | 7 |
Tab.4 Detection results and ranking of driving factors of new quality productive forces in the three major river basins
| 变量 | 长江流域 | 黄河流域 | 珠江流域 | |||
|---|---|---|---|---|---|---|
| q值 | 排序 | q值 | 排序 | q值 | 排序 | |
| Xeco | 0.700*** | 2 | 0.436*** | 6 | 0.825*** | 3 |
| Xstr | 0.302* | 4 | 0.157* | 11 | 0.178* | 12 |
| Xmar | 0.346*** | 9 | 0.172*** | 8 | 0.379*** | 9 |
| Xcap | 0.566*** | 12 | 0.555*** | 2 | 0.735*** | 4 |
| Xdig | 0.531*** | 5 | 0.350*** | 7 | 0.370* | 10 |
| Xinf | 0.549*** | 1 | 0.267*** | 5 | 0.547*** | 8 |
| Xlab | 0.192** | 3 | 0.104 | 12 | 0.240* | 11 |
| Xtra | 0.582*** | 10 | 0.224** | 10 | 0.536*** | 6 |
| Xhtc | 0.651*** | 7 | 0.585*** | 1 | 0.922*** | 1 |
| Xgid | 0.525*** | 6 | 0.468*** | 4 | 0.668*** | 5 |
| Xagg | 0.305*** | 8 | 0.610*** | 3 | 0.886*** | 2 |
| Xven | 0.626*** | 11 | 0.319*** | 9 | 0.605*** | 7 |
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