img

QQ群聊

img

官方微信

高级检索

黄金科学技术 ›› 2023, Vol. 31 ›› Issue (6): 1004-1013.doi: 10.11872/j.issn.1005-2518.2023.06.104

• 采选技术与矿山管理 • 上一篇    下一篇

多要素驱动资源型城市转型的路径研究——基于TOE框架的fsQCA分析

陈美玲(),徐水太(),顾东明   

  1. 江西理工大学经济管理学院,江西 赣州 341000
  • 收稿日期:2023-07-25 修回日期:2023-09-17 出版日期:2023-12-31 发布日期:2024-01-26
  • 通讯作者: 徐水太 E-mail:1054426320@qq.com;stxu@jxust.edu.cn
  • 作者简介:陈美玲(1999-),女,江西万载人,硕士研究生,从事资源、环境与可持续发展研究工作。1054426320@qq.com
  • 基金资助:
    国家社会科学基金项目“产品空间视角下中国稀有矿产资源产业升级路径及政策选择研究”(20XGL016)

Research on the Path of Transformation of Resource-based Cities Driven by Multiple Factors:Analysis of fsQCA Based on TOE Framework

Meiling CHEN(),Shuitai XU(),Dongming GU   

  1. School of Economics and Management,Jiangxi University of Technology,Ganzhou 341000,Jiangxi,China
  • Received:2023-07-25 Revised:2023-09-17 Online:2023-12-31 Published:2024-01-26
  • Contact: Shuitai XU E-mail:1054426320@qq.com;stxu@jxust.edu.cn

摘要:

推动资源型城市高质量转型是新时代经济社会发展过程中亟待解决的现实问题。基于TOE框架构建资源型城市转型影响因素模型,运用模糊集定性比较分析(fsQCA)探讨技术、组织和环境3个维度的因素耦合对资源型城市转型的驱动机制。研究表明:单一因素并不能构成资源型城市高转型效率的必要条件;环境驱动型、组织—环境驱动型和综合驱动型3种组合路径能够产生高转型效率。环境因素在资源型城市转型中发挥着重要作用,技术创新和资源依赖是资源型城市转型的核心要素,而人力资本因素未发挥核心条件作用。研究结果揭示了不同资源型城市转型中各因素之间的交互作用,为各类资源型城市实现转型升级提供了理论指导。

关键词: 资源型城市, 转型, 组态分析, 资源依赖, TOE框架, fsQCA方法

Abstract:

The transformation of resource-based cities is an important grip to achieve high-quality development.Sixty-three resource cities in China were selected as research cases.Based on the TOE framework model,the influencing of the transformation of resource cities was constructed.The DEA method was applied to measure the transformation efficiency of resource cities.Further,fuzzy set qualitative comparative analysis (fsQCA) was used to explore the driving mechanism of the coupling of factors in the three dimensions of technology,organization and environment on the transformation of resource-based cities.The complex causal relationship between factors in the technology,organization and environment dimensions and urban transformation was analyzed.The research shows that a single factor can’t constitute a necessary conditions for the high trans-formation efficiency of resource-based cities.The three combination paths of environment-driven,organisation-environment-driven and integrated-driven can produce high transformation efficiency.The environmental factors play an important role in the transformation of resource-based cities.The technological innovation and resource dependence are also the core elements in the transformation of resource-based cities,while the human capital factors don’t play a role as a core condition.The research results reveal the interaction between various factors in the transformation of different resource-based cities,and provide theoretical guidance for the transformation and upgrading of various resource-based cities.Based on the “group perspective” and in conjunction with the local development situation,resource cities should optimize the allocation of resources at the technical,organizational and environmental levels,choose appropriate transformation paths and take multiple measures to achieve urban transformation and upgrading.

Key words: resource-based cities, transformation, configuration analysis, resource dependence, TOE frame-work, fsQCA method

中图分类号: 

  • F299.2

图1

资源型城市转型的TOE理论模型框架transformation of resource-based cities"

表1

资源型城市转型效率评价体系"

标准层要素层指标层
投入指标劳动投入城镇单位从业人员期末人数(人)
资本投入固定资本存量(万元)
能源投入液化石油气供气总量(万t)
全社会用电量(万kW·h)
产出指标经济产出地区生产总值(万元)
环境产出工业废水排放量(万t)
工业SO2排放量(t)
工业烟(粉)尘排放量(t)

表2

校准和描述性统计"

条件与结果模糊集校准描述性统计
完全隶属交叉点完全不隶属最大值最小值均值标准差
技术创新19 790.30002 303.0000451.900033 655.000027.00004 664.69446 317.0506
资源依赖0.78040.18480.00630.86580.00020.26690.2565
人力资本0.02760.00960.00270.06000.00160.01220.0101
产业结构4.33301.54220.75696.60970.54281.92111.2713
环境规制0.00540.00330.00170.00600.00150.00340.0011
经济发展101 519.400043 112.500025 627.5500188 857.000016 868.000051 692.333328 527.8181
转型效率1.00000.52680.29141.00000.21320.62010.2788

表3

fsQCA方法必要性分析"

前因条件高转型效率
一致性覆盖率
技术创新0.59950.7170
~技术创新0.62340.5442
资源依赖0.57200.6392
~资源依赖0.62370.5738
人力资本0.62260.6712
~人力资本0.60610.5750
产业结构0.52910.5885
~产业结构0.67820.6263
环境规制0.63640.6493
~环境规制0.57890.5779
经济发展0.64680.7042
~经济发展0.57170.5377

表4

产生高转型效率的组态"

前因条件产生高转型效率的组态及条件
H1aH1bH2aH2bH3aH3b
技术创新???
资源依赖
人力资本??
产业结构??
环境规制
经济发展?
一致性0.89370.89890.90110.89010.89500.8894
原始覆盖率0.26840.18610.24610.27200.25350.2323
唯一覆盖率0.07740.00520.00830.01050.03550.0399
总一致性0.8606
总覆盖度0.4760

表5

提高案例频数阈值的稳健性检验"

前因条件产生高转型效率的组态
(1)(2)(3)
技术创新?
资源依赖
人力资本??
产业结构合理化
环境规制
经济发展?
一致性0.26840.23230.2376
原始覆盖率0.09910.05590.0270
唯一覆盖率0.89370.88940.8971
总一致性0.8754
总覆盖度0.3926
Bai Xuejie, Wang Haifeng, Yan Wenkai,2014.Resource recession,science & technology and education support and urban research on transformation efficiency of resource-based transformation-cities based on the dynamic SBM model covering bad output[J].Chinese Industrial Economy,(11):30-43.
Chen Yan, Mei Lin, Hu Yuna,2016.Evolution and upgrading of industries in resource-based cities in northeastern China[J].Journal of Arid Land Resources and Environment,30(12):20-27.
Deng Guoying, Gong Qinlin,2018.Study on the impact of innovation-driven on the transformation efficiency of resource-based cities in China[J].Journal of Yunnan University of Fi-nance and Economics,34(6):86-95.
Fang Xingcun, Chen Hao,2016.Measurement on the efficiency of economic transformation for the resource declininc cities[J].Urban Issues,246(1):28-35.
Feng Chao, Zhao Jun, Miao Qing,et al,2022.Evaluation of transformation efficiency of resource-based cities at prefecture level in China from the perspective of urban vitality[J].Resources Development and Market,38(9):1043-1051.
He Xiaogang, Luo Qi, Chen Jinling,2020.High-quality human capital and upgrading of urban industrial structure in China:Evidence from enrollment expansion[J].Economic Review,(4):3-19.
Huang Yi, Cheng Hui,2022.Research on the impact of carbon market construction on resource dependence of resource cities—Based on heterogeneous DID model[J].Science and Technology Management Research,42(15):212-219.
Jing Rui, Wang Junpeng, Shi Xiu,et al,2019.Influencing factors and models of economic development of China’s resource-based cities from a systematic perspective—A qualitative comparative analysis based on 110 prefecture-level cities[J].Industrial Technical Economics,39(3):132-142.
Li Hong,2017.Cultivation of new driving forces for the transformation and development of resource-based cities in Central and Western China and Eastern China [J].Reform,282(8):99-103.
Liu Haibo, Xu Ningning, Xiao Guodong,2023.Has the construction of industrial transformation and upgrading demonstration zone promoted industrial transformation and upgrading? Quasi-experimental evidence from old industrial cities and resource-based cities[J].Fujian Forum(Humanities and Social Sciences Edition),369(2):76-90.
Liu Kewen, Cao Youhui,2020.Research on the functional transformation of resource-based cities from the perspective of urban agglomerations[J].Urban Problems,(1):65-72.
Liu Xiaoling, Tang Zhuowei, Sun Xiaohua,et al,2022.Factors mismatch:Solving the mystery of transformation dilemma faced by resource-based cities [J].China Population,Resources and Environment,32(10):88-102.
Liu Xueqian, Zhang Gongwei, Chen Xiang,2013.Resource curse transmission mechanism from the perspective of culture[J].Urban Issues,(1):2-8.
Luo Ruoyu, Zhang Longpeng,2013.Industrial transformation,economic growth and policy choices in western resource cities[J].Statistics and Decision Making,(10):66-68.
Ma Jing, Wu Lihua,2022.Study on the impact of smart city pilot on urban green innovation:Analysis based on TOE framework[J].Urban Problems,329(12):66-76.
Mao Chenggang, Yang Guozuo, Fan Rui,2022.Digital finance and the transformation and upgrading of industrial structure in resource-based regions:Empirical analysis based on 109 resource-based cities[J].Economic Issues,515(7):63-70.
Qian Yingmiao, Yu Mengyuan, Yuan Ruijia,et al,2022. Research on innovative talent training model for engineering management majors in intelligent construction—A qualitative comparative analysis (QCA) based on empirical analysis[J].Journal of Jiangxi University of Science and Technology,42(5):72-80.
Ragin C C,2006.How to lure analytic social science out of the doldrums[J].International Sociology,21(5):633-646.
Song Deyong, Yang Qiuyue,2019.Does environmental regulation break the resource curse: An empirical analysis based on transnational panel data [J].China Population,Resources and Environment,29(10):61-69.
Tan Juntao, Zhang Xinlin, Liu Lei,et al,2020.Research on the urban transformation performance of China’s resource-based cities [J].Economic Geography,40(7):57-64.
Wang Jiaming, Ding Hao,2022.Environmental regulation and high-quality economic development in resource cities[J].Statistics and Decision Making,38(15):108-112.
Wang Xiaonan, Sun Wei,2020.Transformation efficiency of resource-based cities in the Yellow River Basin and its influencing factors[J].Progress in Geography,39(10):1643-1655.
Wu Kang, Liu Xiaoxiao, Yao Changcheng,2023.The mechanisms of industrial transformation on the evolutionary trajectory of growth anoshrinkage in Chinese resource-based cities[J].Journal of Natural Resources,38(1):109-125.
Xiong Bin, Hu Zhenshen,2019.Analysis on the evolution and influence factors of the transformation efficiency of resource-based cities from the perspective of spatial perspective—A case study of empirical study of resource-based cities in northeast China[J].East China Economic Management,33(7):78-86.
Xu Jun, Li Qiaohui, Wang Yuhong,2016.Integrated mechanism of resource-based cities transformation driven by the supply reform[J].China Population,Resources and Environment,26(10):53-60.
Xu Shidao, Zheng Jie,2022.Do innovation capacity and human capital promote development of resource-based cities? Based on the perspective of scale expansion and efficiency promotion[J].Journal of Nanjing University of Finance and Economics,233(1):22-31.
Xu Shuitai, Yuan Beifei,2021.Group analysis of business environment affecting the landing rate of PPP projects[J].Finance and Accounting Monthly,(22):115-121.
Yan Huafei, Yang Mei, Xiao Jing,2023.Does the construction of intellectual property model cities enhance the technological innovation capability of cities?—Empirical study based on DID and mediating effect[J].Soft Science,37(3):53-58.
Yang Xia, Li Fanghu, Hua Xiaoquan,2021.Influencing factors of resource-based city transformation based on structural equation model:Taking Huainan City of Anhui Province as an example[J].Science and Technology Review,39(13):84-92.
Zhang Guoxing, Wang Han, Yan Leichao,2021.Study on the economic transformation path of resource-based cities in the Yellow River Basin based on green development efficiency[J].Regional Economic Review,53(5):138-144.
Zhang Jianpeng, Chen Shiyi,2021.Financial development,environmental regulations and green economic transition [J].Journal of Economics and Economics,47(11):78-93.
Zhang Ming, Chen Weihong, Lan Hailin,2019.Why do Chinese enterprises completely acquire foreign high-tech enterprises—A fuzzy set qualitative comparative analysis (fsQCA) based on 94 cases[J].China Industrial Economy,(4):117-135.
Zhang Rongjia, Fu Lin, Sun Xiaohua,2022.Geographical location,economic location and industrial transformation of resource-based cities[J].Macroeconomic Research,(7):88-104,119.
Zhang Wenzhong, Yu Jianhui,2023.Policy evolution and transformation effect analysis of sustainable development of resource-based cities in China [J].Journal of Natural Resources,38(1):22-38.
Zhang Yixin, Zhang Jie,2020.Research on innovation driven,government regulation and resource-based city transformation efficiency empirical analysis based on super-SBM model[J].Journal of Henan Normal University(Philosophy and Social Sciences Edition),47(2):37-44.
Zhao Jianying,2021.A research review and prospect on the transformation and development of resource based cities in China[J].Economic Issues,(11):17-25.
Zhao Wenshan,2015.The path of technological innovation promote on resource-based cities’ industrial transformation and optimization[J].Reform and Strategy,31(10):23-26.
Zhao Ying,2020.Research on the economic transformation path of resource-based cities in the New Era:Analysis based on “progressive-correlation” support mechanism[J].Changbai Journal,(1):103-111.
Zheng Feihong, Li Jing,2021.Industrial transformation and upgrading of resource-based cities forced by technologica environmental regulation—Based on theoretical model and double effect analysis[J].Soft Science,35(12):22-28.
Zheng Hui, Sun Xiaohua, Long Rui,2022.The path and model of economic transformation of resource-based cities [J].Fujian Forum(Humanities and Social Sciences Edition),(1):61-74.
Zheng Minggui, Gu Dongming, Qiu Junyuan,2023.Analysis of regional green development configuration path—Based on TOE theoretical framework [J].Finance and Accounting Monthly,44(12):124-130.
白雪洁,汪海凤,闫文凯,2014.资源衰退、科教支持与城市转型——基于坏产出动态SBM模型的资源型城市转型效率研究[J].中国工业经济,(11):30-43.
陈妍,梅林,胡宇娜,2016.东北资源型城市转型过程中产业结构升级演变研究[J].干旱区资源与环境,30(12):20-27.
邓国营,龚勤林,2018.创新驱动对资源型城市转型效率的影响研究[J].云南财经大学学报,34(6):86-95.
方杏村,陈浩,2016.资源衰退型城市经济转型效率测度[J].城市问题,(1):28-35.
冯超,赵军,卿苗,等,2022.城市活力视角下全国地级资源型城市转型效率评价研究[J].资源开发与市场,38(9):1043-1051.
何小钢,罗奇,陈锦玲,2020.高质量人力资本与中国城市产业结构升级——来自“高校扩招”的证据[J].经济评论,(4):3-19.
黄怡,程慧,2022.碳市场建设对资源型城市资源依赖度的影响研究——基于异期DID模型[J].科技管理研究,42(15):212-219.
景睿,王俊鹏,石秀,等,2020.系统视角下我国资源型城市经济发展的影响因素与模式研究——基于110个地级城市的定性比较分析[J].工业技术经济,39(3):132-142.
李虹,2017.中西部和东部地区资源型城市转型与发展新动能的培育[J].改革,282(8):99-103.
刘海波,许宁宁,肖国东,2023.产业转型升级示范区建设是否促进了产业转型升级?——来自老工业城市和资源型城市的准实验证据[J].福建论坛(人文社会科学版),369(2):76-90.
刘可文,曹有挥,2020.城市群视域下的资源型城市职能转型研究[J].城市问题,(1):65-72.
刘小玲,唐卓伟,孙晓华,等,2022.要素错配:解开资源型城市转型困境之谜[J].中国人口·资源与环境,32(10):88-102.
刘学谦,张公嵬,陈翔,2013.“资源诅咒”的传导机制及其文化审视[J].城市问题,(1):2-8.
罗若愚,张龙鹏,2013.西部资源型城市产业转型、经济增长与政策选择[J].统计与决策,(10):66-68.
马静,吴利华,2022.智慧城市试点对城市绿色创新的影响机制研究——基于TOE理论框架的分析[J].城市问题,329(12):66-76.
毛成刚,杨国佐,范瑞,2022.数字金融与资源型地区产业结构转型升级——基于109个资源型城市的实证分析[J].经济问题,515(7):63-70.
钱应苗,余梦媛,袁瑞佳,等,2022.面向智能建造的工程管理专业创新型人才培养模式研究——基于定性比较分析法(QCA)的实证分析[J].江西理工大学学报,42(5):72-80.
宋德勇,杨秋月,2019.环境规制打破了“资源诅咒”吗?——基于跨国面板数据的经验分析[J].中国人口·资源与环境,29(10):61-69.
谭俊涛,张新林,刘雷,等,2020.中国资源型城市转型绩效测度与评价[J].经济地理,40(7):57-64.
王家明,丁浩,2022.资源型城市环境规制与经济高质量发展[J].统计与决策,38(15):108-112.
王晓楠,孙威,2020.黄河流域资源型城市转型效率及其影响因素[J].地理科学进展,39(10):1643-1655.
吴康,刘骁啸,姚常成,2023.产业转型对中国资源型城市增长与收缩演变轨迹的影响机制[J].自然资源学报,38(1):109-125.
熊彬,胡振绅,2019.空间视角下资源型城市转型效率差异演化及影响因素分析——以东北地区资源型城市为例[J].华东经济管理,33(7):78-86.
徐君,李巧辉,王育红,2016.供给侧改革驱动资源型城市转型的机制分析[J].中国人口·资源与环境,26(10):53-60.
徐水太,袁北飞,2021.营商环境影响PPP项目落地率的组态分析[J].财会月刊,(22):115-121.
许士道,郑洁,2022.创新能力与人力资本是否促进了资源型城市的发展?——基于规模扩张和效率提升视角的实证检验[J].南京财经大学学报,233(1):22-31.
闫华飞,杨美,肖静,2023.知识产权示范城市建设提升了城市技术创新能力吗?——基于双重差分与中介效应的实证[J].软科学,37(3):53-58.
杨霞,李方虎,华小全,2021.基于结构方程模型的资源型城市转型影响因素分析——以安徽省淮南市为例[J].科技导报,39(13):84-92.
张国兴,王涵,闫磊超,2021.基于绿色发展效率的黄河流域资源型城市转型发展研究[J].区域经济评论,53(5):138-144.
张建鹏,陈诗一,2021.金融发展、环境规制与经济绿色转型[J].财经研究,47(11):78-93.
张明,陈伟宏,蓝海林,2019.中国企业“凭什么”完全并购境外高新技术企业——基于94个案例的模糊集定性比较分析(fsQCA)[J].中国工业经济,(4):117-135.
张荣佳,付琳,孙晓华,2022.地理区位、经济区位与资源型城市产业转型[J].宏观经济研究,(7):88-104,119.
张文忠,余建辉,2023.中国资源型城市转型发展的政策演变与效果分析[J].自然资源学报,38(1):22-38.
张逸昕,张杰,2020.创新驱动、政府规制与资源型城市转型效率研究——基于Super-SBM模型的实证分析[J].河南师范大学学报(哲学社会科学版),47(2):37-44.
赵建英,2021.中国资源型城市转型发展研究回顾与展望[J].经济问题,(11):17-25.
赵文善,2015.技术创新推动资源型城市产业转型的路径及政策研究[J].改革与战略,31(10):23-26.
赵莹,2020.新时代资源型城市经济转型路径探析——基于“递进—关联”支持机制的分析[J].长白学刊,(1):103-111.
郑飞鸿,李静,2021.科技环境规制倒逼资源型城市产业转型升级——理论模型与双重效应分析[J].软科学,35(12):22-28.
郑辉,孙晓华,龙睿,2022.资源型城市经济转型的路径与模式[J].福建论坛(人文社会科学版),(1):61-74.
郑明贵,顾东明,邱均远,2023.地区绿色发展组态路径分析——基于TOE的理论框架[J].财会月刊,44(12):124-130.
[1] 郑明贵, 顾东明, 陶思敏, 陈美玲. 资源型企业数字化转型的组态路径研究[J]. 黄金科学技术, 2023, 31(6): 978-989.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!