摘要
在长三角一体化和粤港澳大湾区建设上升为国家战略的背景下,以城市群为视角,对比分析这两大区域城市群新旧动能转换水平、时空演变规律与区域差异,为其加快新旧动能转换步伐和释放先行示范效应提供参考。从需求侧、供给侧和结构转换侧3个动能维度构建评价指标体系,运用组合赋权法测算2012—2019年两大城市群36个城市新旧动能转换水平,并利用自然断点法、核密度法等探究两大城市群新旧动能转换时空演变规律与区域差异。结果显示:(1)长三角与大湾区城市群新旧动能转换分别呈现出类“N”型和类“U”型波动增长趋势,不充分性特征明显;(2)长三角城市群新旧动能转换表现出“西北低,东南高”的空间分布、“多极化”的空间格局以及“沙漏型”的空间层级特点,而粤港澳城市群新旧动能转换表现出“由东向西递减”的空间分布、“单极化”的空间格局以及“倒金字塔型”的空间层级特点;(3)两大城市群核密度曲线延展性均由右拖尾转变为收敛趋势,表明两大城市群区域中心城市新旧动能转换的中心极化现象得到逐年改善,中心城市对周边城市的虹吸效应减弱。由此提出长三角与粤港澳大湾区应始终把将科技创新作为新动能培育的核心任务推动城市群创新动能稳固增长,长三角全面建立一体化发展的体制机制,大湾区牢牢把握扩大内需的战略基点构建“双循环”新发展格局。
Under the background of the integration of the Yangtze River Delta and the construction of the Guangdong-Hong Kong-Macao Greater Bay Area(the Greater Bay Area)as a national strategy,from the perspective of urban agglomeration,this paper carries out a comparative analysis on the conversion level,spatio-temporal evolution and regional differences of these two major regional urban agglomerations,in order to provide reference for accelerating the pace of the transformation of old and new kinetic energy conversion,and releasing their demonstration effect.It constructs an evaluation index system from three kinetic energy dimensions of the demand side,the supply side,and the structural transformation side,uses the combined weighting method to measure the level of new and old kinetic energy conversion of 36 cities in the two major regional urban agglomerations from 2012 to 2019,and uses the natural breakpoint method,the kernel density method,and other methods to explore their spatio-temporal evolution and regional differences of new and old kinetic energy conversion.The results display:(1)The new and old kinetic energy conversion in the urban agglomerations of the Yangtze River Delta and the Greater Bay Area presents a"N"shape and"U"shape fluctuating growth trend separately,with obvious insufficiency characteristics.(2)The new and old kinetic energy conversion of the Yangtze River Delta urban agglomeration shows the spatial distribution of"low in the northwest and high in the southeast",a"multi-polar"spatial pattern,and"hourglass-shaped"spatial hierarchy characteristics,while the new and old kinetic energy conversion in the urban agglomeration of the Greater Bay Area shows the spatial distribution of"from east to west",the spatial pattern of"single polarization",and the characteristics of"inverted pyramid"spatial hierarchy.(3)The extensibility of the core density curves of the two major regional urban agglomerations has changed from right tailing to convergent,indicating that the polarization phenomenon of new and old kinetic energy conversion in the central cities of the two major regional urban agglomerations has been improved year by year,and the siphon effect of the central cities on the surrounding cities has weakened.Therefore,it puts forward that the Yangtze River Delta and the Greater Bay Area should always take scientific and technological innovation as the core task of cultivating new drivers to promote the steady growth of urban agglomeration innovation drivers,the Yangtze River Delta should establish the system and mechanism of integrated development,while the Greater Bay Area should firmly grasp the strategic basis of expanding domestic demand to build a new development pattern of"double cycle".
作者
马海良
陈仔浩
Ma Hailiang;Chen Zihao(Business School,Hohai University,Changzhou 213022,China)
出处
《科技管理研究》
CSSCI
北大核心
2023年第4期75-85,共11页
Science and Technology Management Research
基金
教育部人文社会科学基金项目“我国新旧动能转换:机理、经验和对策研究”(20YJA790052)
江苏省社会科学基金项目“中美贸易摩擦对江苏新旧动能转化的影响机理及对策研究”(19EYB004)
河海大学中央高校基本科研业务费项目“‘碳-水’耦合约束下黄河流域水资源开发利用的产业适宜性研究”(B210207041)
关键词
新旧动能转换
时空演变规律
长三角城市群
粤港澳大湾区城市群
核密度估计
new and old kinetic energy conversion
spatio-temporal evolution
the Yangtze River Delta urban agglomeration
the Guangdong-Hong Kong-Macao Bay Area urban agglomeration
kernel density estimation
作者简介
马海良(1979—),男,江苏常州人,副教授,博士,主要研究方向为资源经济与可持续发展;陈仔浩(1998—),男,江苏宿迁人,硕士研究生,主要研究方向为新旧动能转换与低碳经济。
