中国环渤海地区人口—土地—产业非农化转型协同演化特征
作者简介:杨忍(1984- ),男,贵州毕节人,博士,讲师,主要研究方向为乡村空间重构及规划、城乡发展转型与区域规划、土地资源配置及GIS应用研究。E-mail:yangren0514@163.com
收稿日期: 2014-08-30
要求修回日期: 2014-11-06
网络出版日期: 2015-03-10
基金资助
国家自然科学基金项目(41401190,41130748)
中山大学青年教师起步资助计划项目(37000-3321400)
The study on non-agricultural transformation co-evolution characteristics of "population-land-industry": Case study of the Bohai Rim in China
Received date: 2014-08-30
Request revised date: 2014-11-06
Online published: 2015-03-10
Copyright
着眼于城乡发展转型中“人口—土地—产业”非农化转型协同演化规律研究,以快速城乡转型发展的环渤海地区为典型案例区,通过构建县域层面的人口、土地、产业非农化转型指标体系,利用耦合协调模型和相关数据资料,对环渤海地区县域尺度的人口、土地、产业非农化转型耦合协调演化时空格局进行系统研究,得出以下主要结论:① 环渤海地区人口、土地、产业非农化转型耦合度和协调度空间差异显著。经济发达地区人口、土地、产业非农化转型耦合度和协调度水平高于其他地区,人口城镇化、土地城镇化、产业非农化之间转型联动一致性较强。经济欠发达地区的人口、土地、产业非农化转型耦合度偏低,协调度呈现出低非农化转型水平的一致均衡性,人口、土地、产业非农化转型之间联动和传导作用较弱。②“人口—土地”非农化转型耦合协调度普遍滞后低于“土地—产业”非农化转型耦合协调度,土地城镇化快于人口城镇化,人口城镇化与土地城镇化协同一致性失调。③伴随区域经济结构转型升级,人口、土地、产业非农化转型耦合度及协调度呈现为波状传递上升的演进时序变化特征,人口、土地、产业子系统之间联系程度和组织调控过程符合系统从低级向高级不断演进规律。④创新土地利用优化配置机制,创建土地基本制度、核心制度与保障制度相融合的多层次土地节约集约制度体系,完善基本供地机制、规划决策机制、市场配置机制、收益分配机制,是构建人口、土地、产业非农化转型耦合关联挂钩的核心途径。强化以人口、土地、产业联动三挂钩的土地利用优化配置的核心理论研究将是城乡发展转型地理学和土地资源管理学科领域关注的热点科学问题。
杨忍 , 刘彦随 , 龙花楼 . 中国环渤海地区人口—土地—产业非农化转型协同演化特征[J]. 地理研究, 2015 , 34(3) : 475 -486 . DOI: 10.11821/dlyj201503007
The article aims to reveal the coupling co-evolution rule of non-agricultural transformation among population, land and industry target during rural-urban transformation developing process. In this paper, the non-agricultural transformation indicators have been built for population, land and industry, simultaneously, based on the coupling coordination model and referring data, the spatial-temporal pattern and the rule of coupling co-evolution of non-agricultural transformation about population, land and industry were examined comprehensively in county scale around the Bohai Rim in China. Main results for this study are as follows: (1) there is a significant spatial difference in the coupling and coordination degree for non-agricultural transformation among population, land and industry in county scale around the Bohai Rim in China. The level of the coupling and coordination degree for non-agricultural transformation among population, land and industry are higher in developed region than in others, which have consistent changes in sensitivity among population urbanization, land urbanization and industrial structure. In less developed areas, the coupling and coordination degree for non-agricultural transformation among population, land and industry is low. (2) It is common that the coupling and coordination degree for non-agricultural transformation between population and land lags behind that between land and industry in county scale around the Bohai Rim in China. (3) The evolution rules have emerged gradually on the coupling and coordination degree for non-agricultural transformation among population, land and industry, so that the relationship of the organization and coordination process changes as the rules from low to high level. (4) Innovating the mechanism of land use optimal allocation, building reasonable and order hierarchy multi-level systems of economic development and intensive land use in rural and urban areas, which are the integration of basic land systems to improve the basic mechanism of land supply, the planning and decision-making mechanism, market allocation mechanism and income distribution mechanism. This will be the main ways to solve disordered relation of non-agricultural transformation on population, land, industry and employment during rural-urban transformation process. In future, research should be strengthened on the mechanism and non-agricultural transformation theory among the population, land, industry and employment, as well as on about the core theory of rural-urban land use optimal allocation and regulation, which will be the core issues on the rural-urban transformation geography and land management science.
Tab.1 The definition of sub-index表1 分项指标定义 |
| 指 标 | 计算模型 |
|---|---|
| 人口城镇化率Ui | |
| 产业非农化Ii | |
| 用地城镇化率Li |
Fig 1 The non-agricultural transformation coupling degree of population, land, industry and employment around Bohai Rim in China in 1995, 2000 and 2010图1 1995年、2000年、2010年环渤海地区的人—地—业非农化转型耦合度空间分布图 |
Fig 2 The non-agricultural transformation coordinating degree of population, land, industry and employment around Bohai Rim in China in 1995, 2000 and 2010图2 1995年、2000年、2010年环渤海地区的人—地—业非农化转型耦合协调度空间分布图 |
Fig 3 The evolution curve for non-agricultural transformation coupling degree of population, land,industry and employment around Bohai Rim图3 环渤海地区人—地—业非农化转型耦合度演进曲线 |
Fig 4 The evolution curve for non-agricultural transformation coordinating degree of population, industry and employment around Bohai Rim图4 环渤海地区人—地—业非农化转型协调度演进曲线 |
Fig 5 The non-agricultural transformation coupling degree between population and industry, population and land, land and industry around Bohai Rim in1995, 2000 and 2010图5 1995年、2000年、2010年环渤海地区的人—业(A)、人—地(B)、地—业(C)之间非农化转型耦合度空间分布图 |
Fig. 6 The non-agricultural transformation coordinating degree between population and industry, population and land, land and industry around Bohai Rim in 1995, 2000 and 2010图6 1995年、2000年、2010年环渤海地区的人—业(A)、人—地(B)、地—业(C)之间非农化转型协调度空间分布图 |
Fig 7 The evolution curve for non-agricultural transformation coupling degree between population and industry, population and land, land and industry around Bohai Rim in 1995, 2000 and 2010图7 1995年、2000年、2010年环渤海地区的人—业(a)、人—地(b)、地—业(c)之间耦合度演进曲线 |
Fig. 8 The evolution curve for non-agricultural transformation coordinating degree between population and industry, population and land, land and industry around Bohai Rim in 1995, 2000 and 2010图8 1995年、2000年、2010年环渤海地区的人—业(a)、人—地(b)、地—业(c)之间耦合协调度演变曲线 |
The authors have declared that no competing interests exist.
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