中国人口户籍迁移与非户籍迁移的比较
Hukou and non-hukou migration in China: Patterns, determinants and policy implications
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收稿日期: 2021-05-6 修回日期: 2022-03-18
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Received: 2021-05-6 Revised: 2022-03-18
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作者简介 About authors
刘嘉杰(1997-), 男, 宁夏中卫人, 博士生, 研究方向为人口迁移与城乡发展。E-mail:
现阶段中国的人口迁移分为户籍迁移和非户籍迁移两类,对二者的比较和整合分析有助于深化对国内人口迁移的理论认识,也便于与国际同类研究相衔接。本文估算了2011—2017年中国地级及以上城市的户籍与非户籍净迁移人口数量,分析和比较了二者的基本空间格局特征及影响因素。结果表明:户籍和非户籍迁移具有总体相似的空间正相关和内陆分异的局部聚类特征,东部沿海三大城市群间具有明显的差异性,两类迁移人口在城市间的分布特征不同且非户籍迁移数量的极差比户籍迁移更大,两类迁移的新增数量均与已有流动人口存量正相关;新增户籍迁移受经济机会差异影响明显,一些经济水平较高的大城市凭借人才政策吸引人口户籍迁入,非户籍迁移主要响应教育、医疗等公共服务差异;户籍迁移的市场化特征随落户限制的放松而不断强化,但存在城市和人口的双向选择性,非户籍迁移出现从经济性迁移转向舒适性迁移的趋势。最后从理论和政策角度探讨了中国人口迁移转型与户籍制度改革方向。
关键词:
The household registration (hukou) system divides China's internal migration into two types: hukou and non-hukou migration. Hukou migration is also known as permanent migration, while non-hukou migration is temporary migration. Permanent migrants are those whose registered place is the same as their regular residence place, and temporary migrants otherwise. Most temporary rural-urban migrants without local hukou cannot obtain the same public services as urban inhabitants, which affects the improvement of the quality of urbanization. Hukou migration is the last step of population urbanization. However, existing studies mostly focus on non-hukou migration, but ignore hukou migration. Also, to connect the behaviors and intentions of hukou transfer, it is necessary to explore spatial patterns and determinants of hukou migration. The comparison and integration of hukou and non-hukou migration contributes to constructing an integrated conceptual framework of China's internal migration, which is an effective way to theorize and internationalize China's internal migration research. This paper estimates the scale of hukou and non-hukou net migration at prefecture-level cities across the country from 2011 to 2017. We analyze and compare the basic spatial patterns of the two, and explore their influencing factors. The results showed that hukou and non-hukou migration have overall similar spatial positive autocorrelation and different local clustering characteristics in inland regions. Although two types of migrants are primarily concentrated in three coastal regions, there are significant internal variations due to local urban system. It is easy to change residential location but difficult to obtain local hukou in Beijing-Tianjin-Hebei region, but totally contrast in the other two regions. The scale distribution of non-hukou migration is more polarized than that of hukou migration. We also found that the growth of the two is positively correlated with the existing floating migrants. The cities with more floating migrants will attract more hukou and non-hukou migrants to flow in. Hukou migration mainly responds to differences in economic opportunities, whereas non-hukou migration mainly responds to differences in public services such as education and health care. Non-hukou migration has gradually shifted from economic-driven migration to amenity migration, while hukou migration showed stronger market-oriented characteristics than before. But behind that, there is two-way selectivity between the big city and the talent group. Finally, the paper discusses the transformation characteristics of China's internal migration and the reform direction of the hukou system from the perspective of theory and policy. We suggest the amenity-based urban growth strategy against the context of changing residents' demands.
Keywords:
本文引用格式
刘嘉杰, 刘涛, 曹广忠.
LIU Jiajie, LIU Tao, CAO Guangzhong.
1 引言
1978年改革开放以来,中国人口迁移日益活跃并表现出显著的市场化特征[1]。随着户籍制度约束的松动,大量农村剩余劳动力进入城市工作,但难以获得流入地的城市户口,长期处于常住地与户籍地不一致的“人户分离”状态。这种迁移模式产生了中国现实中“迁移”与“流动”的概念分异[2]:前者特指户籍地的变动,一般也伴随着常住地的变动;后者则指常住地变动而户籍地未变的情况,并在统计口径上明确了常住的时长标准[3]。而按照国际通行的界定标准,人口迁移的概念一般指人口常住地的空间变动[4]。在这一广义概念体系下,中国的“迁移”与“流动”则分属于两种不同类型的迁移:户籍迁移和非户籍迁移。为使中国人口迁移研究与国际学术界更好衔接,有必要对这两类迁移进行比较和整合研究,进而深入理解中国人口迁移现象。
中国户籍迁移和非户籍迁移的分化,直接导致了大量农村劳动力进入城市工作而没有实现定居落户的人口“半城镇化”问题,影响了城镇化质量的提升[5]。2014年《国家新型城镇化规划(2014—2020年)》(后文简称《规划》)提出要健全农业转移人口落户制度,实施差别化落户政策。但近年来户籍人口与常住人口的城镇化率差值没有明显下降,农民工数量仍在增加,降低城市落户门槛等政策的实施效果具有较大的不确定性[6]。同时,《规划》提出了关于优化城镇化布局和形态的策略,强调城市群的主体形态地位,事实上指出了通过引导人口迁移来优化人口空间分布格局的任务。因此,在推进新型城镇化的关键时期,需要全面了解人口迁移的空间格局和变动趋势,不仅要关注流动人口的变化态势,而且也要重视户籍迁移的空间特征和内涵,从而采取更有针对性的、与新型城镇化要求相符的户籍制度改革措施。
非户籍迁移即人口流动已得到学术界较多关注,形成了包括流动人口规模与结构、类型与模式、空间格局及影响因素等内容的大量研究成果。流动人口规模持续增长,新生代和老年流动人口占比不断提高[7];人口流动的空间模式多元化,回流现象增多[8],城—城流动常态化[9];流动人口的空间分布主要集中于东部沿海三大城市群和内陆省会城市[10],经济机会以外的舒适性因素影响作用有所显现[11-12]。然而,与非户籍迁移相比,针对户籍迁移现实的研究相对较少[13-14],以关注户籍迁移意愿及其影响因素为主。城市层面上,等级高、规模大的城市流动人口户籍迁移意愿更高[15-16],与大城市控制、小城市开放的落户政策导向存在矛盾[17]。个体层面上,不同群体对户口的需求不同,户籍迁移意愿受到个人属性、家庭特征、经济能力等因素的共同影响[18⇓-20]。但是个体意愿与实际行为之间存在差异,户籍迁移研究需要补充对现实情况的科学认识。
户籍迁移与非户籍迁移有相似性也有差异。一方面,两类迁移都属于广义的人口迁移范畴,经典迁移理论对二者兼具一定的解释力。比如经济因素对于非户籍迁移和户籍迁移都存在普遍而重要的影响[21],预期收入水平是人们制定迁移决策时的核心考虑因素。另一方面,两类迁移在现实背景下具有不同的成本和收益形式,为实现效用最大化,制定决策时考虑的侧重点可能不同,导致两类迁移的宏观格局特征出现分异[22⇓-24]。非户籍迁移成本相对较低,短期内具有较高的预期收益,且灵活性较强,迁移者可以随时选择再流动或返迁回流[25]。而户籍迁移成本则相对较高,既要面对供给侧的落户门槛难度,也要承受需求侧流动人口群体的挤压压力,但与户籍挂钩的城市社会福利也使其远期收益更高[26],因而户籍迁移决策的影响因素可能更为复杂。目前,既有研究对二者的比较分析相对匮乏且存在一些局限性。比如,在研究尺度上多停留在省级单元,而城市间落户政策差异的影响难以体现,需要从城市尺度做进一步分析;采用较早的人口普查和抽样调查数据发现了一些重要特征,但数据间隔较长也导致时效性偏弱,难以评估近年来政策调整的绩效,需要补充分析时段。
基于已有研究,本文尝试讨论3个问题:作为两种迁移类型,户籍迁移和非户籍迁移的空间格局有何异同?二者的影响因素是否存在相似性与差异性?新型城镇化规划的实施对迁移动因及构成有何影响?依托现有统计数据,本文拟估算全国地级及以上城市连续多年的户籍迁移与非户籍迁移数量,识别和对比二者的空间格局特征,进而分析比较二者的影响因素,以期更深入地理解中国人口迁移现象,同时可能为新型城镇化的政策优化提供一些依据。
2 研究数据
基本研究单元是中国地级及以上城市(后文简称城市),因数据的可获得性等原因,暂不包括台湾、香港及澳门。常住人口数据源于各城市历年统计年鉴;户籍人口数据源于历年《中国城市统计年鉴》,并结合地方统计年鉴进行校核,二者具有可比性。城市社会经济数据源于历年《中国城市统计年鉴》,气温数据源于国家气象科学数据中心,PM2.5数据源于哥伦比亚大学国际地球科学信息网络中心。限于数据可得性,最终确定研究对象为265个地级及以上城市(未包括新疆、西藏、吉林、黑龙江的各地市以及三沙市、儋州市、海东市)。
本文利用现有公开数据对城市层面的户籍迁移、非户籍迁移人口数量进行统一估算,方法如图1所示。具体而言:① 户籍迁移数量一般由公安部门统计发布,但城市层面公布的数据存在缺失,故做统一估算。将人口增量分解为自然增长和迁移增长,利用一个时间段内(如一年)户籍人口总增长量减去自然增长量得到迁移增长量,该值即为户籍净迁入人口数量。其中,自然增长量由年均户籍人口与自然增长率计算得到。② 非户籍迁移即人口流动数量较难统计,以往研究主要采用人口普查和抽样调查数据,但时序连续性不强。为使非户籍迁移与户籍迁移数量具有可比性,同样进行估算。通过常住人口数量与户籍人口数量取差值得到存量意义上的净流入人口数量,再取本年与上年的差值得到非户籍净流入人口数量,从而与户籍净迁入人口增量指标相对应。根据上述方法,估算得到增量意义上的年户籍净迁入和非户籍净流入两个数值。由于受到统计误差、指标推算等影响,估算结果仍可能存在一些误差。为尽可能避免误差影响,本文对单年份结果加和后得到多年累计值,据此展开后续分析。
图1
3 方法和模型
构建多元回归模型分析影响因素及其效果。人口迁移的解释框架包括经济因素、舒适性因素、制度因素3个方面(图2)。首先,经典人口迁移理论已指出经济因素对人口迁移的重要影响,主要包括实际收入水平和潜在就业机会,二者共同形成预期收入对人口迁移决策产生影响[29]。其次,随着社会经济发展阶段的变迁,人口迁移特征也会随之改变[30],收入水平普遍提高使人们的消费和享受需求不断增加,导致迁移时更加重视舒适性要素,包括自然舒适性、人工舒适性等[31]。自然舒适性指自然环境条件,具有地方特有和不可贸易的特性,人们通过迁移行为来满足自身对舒适生活环境的需求;人工舒适性指人工建设的服务设施条件,主要包括教育、医疗等公共服务资源,是影响城市生活质量的关键,对迁移决策具有导向作用。另外,制度因素的影响不容忽视,户籍制度是产生两类迁移分异的根源,落户门槛是影响户籍迁入与否和迁入规模的重要因素,目前按照新型城镇化要求对不同规模城市实行差别化落户政策,在解释两类人口迁移时需要将政策现实纳入考虑。
图2
基于上述框架进行回归分析。回归模型中被解释变量为城市非户籍净流入、户籍净迁入人口数值,均采用多年累计值以避免波动误差;解释变量包括经济因素、舒适性因素和制度因素3类,均采用基期数据。具体为:① 经济因素。经济机会是人口迁移的首要驱动力,在中国区域发展差距和城乡收入差距仍然较大的现实背景下,预期经济因素对迁移的重要影响仍具有普遍意义,对非户籍流入和户籍迁入人口数量都具有积极影响。选用人均GDP作为城市经济发展水平的综合反映指标,经济发展水平越高意味着平均收入水平越高,会对迁移人口产生更强吸引力。选用第二产业、第三产业占GDP的比重表征城市产业结构,不同产业为劳动力提供了不同的就业机会,但实际就业吸纳能力可能不同,第三产业涵盖了多类技能要求的职业门类,预期第三产业比第二产业更能显著吸引迁移人口[32]。② 舒适性因素。城市舒适性水平影响迁移人口的选择,预期舒适性水平越高越能吸引迁移人口。舒适性水平的表征既可以使用综合性的代理变量,比如房价[33],也可以根据舒适性的具体分类选用相应指标。为明确舒适性因素影响的来源与类别,此处采用后者方法处理。选用1月平均气温、PM2.5年均浓度反映自然环境舒适性,预期更温暖的冬天[34]、更好的空气质量[35]会吸引更多的迁移人口,可能对永久定居的户籍迁移人口产生更强影响。选用普通中学的生师比和每万人医生数分别反映教育和医疗资源配置水平,在家庭化迁移趋势增强的背景下,人们制定迁移决策时更会考虑与生活密切相关的教育、医疗等公共服务资源的可得性[36]。在基本公共服务均等化及多元流动模式的背景下,预期公共服务的吸引力主要体现于非户籍流入人口,而对户籍迁入人口的吸引力有限。③ 制度因素。落户门槛对落户行为产生直接影响,预期落户门槛对非户籍流动数量影响较小而对户籍迁移数量影响较大。此处参考《规划》中因城市规模而异的落户政策,按城区常住人口将5类城市规模合并为3类,重点考察超大特大城市、大城市与中小城市不同落户门槛的差异(落户门槛随政策调整而变化,比如对于城区常住人口100万~300万的Ⅱ型大城市,《规划》中表述为“合理放开落户限制”,《2019年新型城镇化建设任务》明确为“全面取消落户限制”。在本文研究时段内,考虑《规划》影响,以相对更加明确的政策门槛(100万)为区分。此外,经过回归检验发现,以城区常住人口300万为区分不影响本文结论,反映了Ⅱ型大城市政策放宽的趋势性。)。最后,加入常住人口规模作为控制变量。
所有变量的描述性统计如表1所示。被解释变量为2011—2017年迁移人口累计值,解释变量为2011年基期数据。其中,受数据可得性影响,1月平均气温为2010年数据。
表1 变量的描述性统计(N = 265)
Tab. 1
变量 | 指标 | 均值 | 标准差 | 最小值 | 最大值 |
---|---|---|---|---|---|
hukou | 户籍净迁入人口(万人) | -3.49 | 17.97 | -39.45 | 138.18 |
non-hukou | 非户籍净流入人口(万人) | 0.90 | 24.51 | -77.50 | 192.44 |
PGDP | 人均GDP对数 | 10.39 | 0.58 | 8.77 | 12.00 |
second | 第二产业占GDP比重(%) | 52.22 | 9.86 | 22.14 | 81.93 |
service | 第三产业占GDP比重(%) | 35.05 | 8.80 | 16.48 | 76.07 |
education | 普通中学生师比 | 14.25 | 2.91 | 4.40 | 23.79 |
health | 每万人医生数(人) | 19.07 | 8.84 | 7.16 | 108.90 |
Jan | 1月平均气温(℃) | 2.84 | 8.13 | -25.00 | 20.47 |
PM | PM2.5年均浓度(μg/m³) | 36.47 | 15.32 | 4.98 | 74.46 |
megacity | 是否为超大、特大城市 | 0.04 | 0.20 | 0 | 1 |
bigcity | 是否为大城市 | 0.22 | 0.42 | 0 | 1 |
pop | 常住人口规模对数 | 5.90 | 0.67 | 3.14 | 7.98 |
4 基本特征分析
4.1 户籍和非户籍迁移具有总体相似的空间正相关和内陆分异的局部聚类特征
总体来看,中国户籍和非户籍迁移都具有显著的空间正相关特征,户籍净迁入和非户籍净流入的高值区集中于东部沿海的京津冀、长三角、珠三角三大城市群地区(图3)。计算发现,户籍迁移和非户籍迁移的全局空间自相关指数分别为0.179和0.235,均通过0.01的显著性水平检验,表明两类迁移均具有显著的空间集聚特征。东部沿海三大城市群是全国经济增长和城镇化发展的核心载体,经济发展水平高,就业机会丰富,对迁移人口普遍存在较强的吸引力。而在内陆地区,户籍和非户籍迁移的空间格局存在较大分异。户籍净迁入的低值集聚区主要分布于四川东部、湖北东部以及河南中南部地区,这些省际边缘地区城市往往受到多方面吸引力共同作用而出现大量户籍迁出,比如成都、重庆、武汉等区域中心城市对周边中小城市产生较大影响。非户籍净流入的低值集聚区主要分布于河南、山东、河北三省交界地带、江西南部以及贵州西部地区,主要是人口流动活跃程度较低的省内边缘区。此外,武汉、重庆等城市周边也存在高值集聚现象,是近年人口吸引力显著提升的大城市代表。
图3
图3
2011—2017年中国户籍和非户籍迁移的局部空间关联特征
注:基于自然资源部标准地图服务网站GS(2019)1825号标准地图制作,底图边界无修改。
Fig. 3
Local spatial autocorrelation of hukou and non-hukou migrants, 2011-2017
4.2 户籍和非户籍迁移基本特征在东部沿海三大城市群间有明显的差异性
以流动人口规模最大、落户需求和门槛均最高的沿海三大城市群为例,对比户籍迁移与非户籍迁移的相对差异。表2显示,京津冀城市群的非户籍净流入最多而户籍净迁入最少,珠三角与之相反,长三角两类迁移的数量则较为均衡。京津冀地区流动人口和落户意愿都高度集中于北京、天津两个中心城市,但两地较高的户籍准入门槛使大量流动人口难以落户,存在精英化的选择倾向[37],因而形成了“流入多落户少”的现象。在长三角和珠三角地区成功落户的人口与两地新增迁移人口的比值均在60%以上,存量流动人口落户率也都远高于京津冀地区。一方面是由于长三角和珠三角这两个地区的大部分城市本身已有较多的存量流动人口待落户,存在较强的落户意愿,一旦落户门槛降低便很快有新增户籍迁入人口;另一方面也表明,与京津冀相比,流入长三角和珠三角地区的人口获得本地户口的可能性更高。
表2 2011—2017年中国东部沿海三大城市群的人口迁移特征
Tab. 2
指标关系 | 京津冀 | 长三角 | 珠三角 | |
---|---|---|---|---|
非户籍净流入人口(万人) | ① | 189.36 | 104.11 | 85.78 |
户籍净迁入人口(万人) | ② | 46.17 | 158.70 | 231.34 |
总净迁入人口(万人) | ③ = ①+② | 235.53 | 262.81 | 317.12 |
户籍净迁入占比(%) | ④ = ②/③ | 19.60 | 60.39 | 72.95 |
2010年存量流动人口(万人) | ⑤ | 1427.85 | 3584.12 | 2871.25 |
存量流动人口落户率(%) | ⑥ = ②/(⑤+①) | 2.86 | 4.30 | 7.82 |
4.3 户籍和非户籍迁移数量在城市间的极值分布呈显著分异特征
借助核密度估计曲线分析户籍迁移和非户籍迁移的分布特征(图4),发现非户籍净流入比户籍净迁入更加离散,二者在曲线两端的差异明显。从曲线中段来看,非户籍净流入与户籍净迁入的数量都集中分布在零值附近,表明大部分城市都处于小规模的人口流迁状态之中。从曲线两端来看,非户籍净流入的极差更大,有个别超大特大城市具有极大的流动人口规模导致曲线拖尾,同时另一端也有一些小城市存在流出人口数量极多的情况。与之相比,户籍净迁入的极值差异则较小。二者极大值的差异说明集聚大量流动人口的超大特大城市并没有吸纳同样规模水平的落户人口,仍有较多存量流动人口未能落户,如何应对流动人口在这些城市的高落户意愿将成为下一步政策研究的重点问题。二者极小值的差异则说明有部分小城市虽然户籍净迁出数量并不大,但其常住人口的流出已经很多,人口流失问题严重,需要应对未来潜在的城市人口收缩现象。
图4
4.4 户籍和非户籍迁移的增长均与已有流动人口存量正相关
以2010年流动人口存量为横轴,以2011—2017年、2011—2013年及2015—2017年3个时间段的累计新增户籍净迁入人口、非户籍净流入人口分别为纵轴,绘制散点图(图5)。总体来看,2011—2017年新增户籍和非户籍迁移数量都与流动人口存量有正相关关系,相关系数分别为0.71和0.36,均通过0.01的显著性水平检验。一方面,户籍净迁入与流动人口存量表现出较强的正相关关系,表明已有较多流入人口存量的城市其户籍迁入数量也相对更多,大城市的新增落户规模大于中小城市[14]。另一方面,非户籍净流入与流动人口存量表现出相对较弱的正相关关系,与以往研究结果相比[38],表明人口流动基本空间格局持续强化的惯性有所减弱,虽然仍有持续集聚的正相关特征,但这种趋势正在逐渐弱化[39]。分时期比较发现,户籍净迁入与非户籍净流入的拟合直线斜率前后变化特征相反。前者斜率升高,表明已有流动人口存量较多的城市其新增落户数量也在普遍增加;而后者斜率降低,反映了人口流动空间模式的多元化趋势,虽然总体仍为集聚态势,但新增流动人口向大城市集聚的程度与前一时段相比有所下降。
图5
图5
2011—2017年新增户籍净迁入、非户籍净流入与流动人口存量的关系
注:各散点图的相关系数从左至右、从上至下依次为0.71、0.54、0.69、0.36、0.37、0.17,均通过0.01的显著性水平检验。
Fig. 5
Relationship between hukou, non-hukou net immigrants and floating population stock, 2011-2017
5 影响因素分析
5.1 户籍和非户籍迁移因素的比较
表3和表4分别为户籍迁移和非户籍迁移的回归结果。对比户籍与非户籍迁移的影响因素发现,研究时期的新增户籍迁移主要响应经济机会差异,而非户籍迁移主要响应公共服务差异。从各类因素分别进入的回归结果比较来看,相比于舒适性因素,经济因素仍然对人口迁移具有更强的解释力,而且在户籍迁移的模型结果中更为突出。人均GDP和第三产业比重对户籍净迁入存在显著正向影响,而对非户籍净流入没有显著影响。城市经济发展水平越高,三产占比越高,户籍净迁入数量也越多。这一结果与已有研究对户籍迁移个体决策的分析结果相似,经济机会对户籍迁移决策的正向影响强于非户籍迁移[24]。同时也与户籍迁移意愿研究的结论有所衔接[15,40],经济发展水平高、就业机会多的城市意味着长期的高收益,对于户籍迁移意愿有重要的促进作用。结合图5所反映的时期前后变化特征,此处回归结果可能有两方面的解释:一方面,自《规划》提出按城市规模实施差别化落户政策,地区性大城市的流动人口存量逐渐落户;另一方面,一些经济发展较好的省会和副省级城市以人才引进为核心的落户政策在人口户籍迁移增长方面产生正向影响,比如杭州、武汉等城市,近年吸引大量人口户籍迁入[14]。根据已有研究结果[41-42],后者更可能是形成此处回归结果的主要原因,落户政策放宽背景下的人才迁移导致户籍迁移格局呈现出与经济机会差异方向的一致性。
表3 户籍迁移的回归结果
Tab. 3
变量 | (1) | (2) | (3) | (4) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
回归系数 | 标准误 | 回归系数 | 标准误 | 回归系数 | 标准误 | 回归系数 | 标准误 | ||||
PGDP | 8.841*** | 2.677 | 8.111*** | 2.790 | |||||||
second | 0.290 | 0.208 | 0.238 | 0.207 | |||||||
service | 0.939*** | 0.220 | 0.720*** | 0.233 | |||||||
education | -1.053*** | 0.390 | 0.219 | 0.348 | |||||||
health | 0.376*** | 0.123 | 0.022 | 0.107 | |||||||
Jan | 0.259* | 0.140 | 0.166 | 0.117 | |||||||
PM | -0.047 | 0.078 | -0.014 | 0.066 | |||||||
megacity | 49.956*** | 5.218 | 26.594*** | 5.934 | |||||||
bigcity | 11.733*** | 2.434 | 0.358 | 2.843 | |||||||
pop | 3.045** | 1.410 | 6.799*** | 1.781 | -2.185 | 1.638 | 0.468 | 1.837 | |||
常数项 | -161.338*** | 18.683 | -34.775*** | 11.530 | 4.703 | 9.405 | -132.809*** | 26.822 | |||
观测数 | 265 | 265 | 265 | 265 | |||||||
F | 35.09*** | 6.88*** | 38.48*** | 18.40*** | |||||||
Adj. R2 | 0.341 | 0.100 | 0.299 | 0.397 |
注:***:p < 0.01,**:p < 0.05,*:p < 0.1。
表4 非户籍迁移的回归结果
Tab. 4
变量 | (1) | (2) | (3) | (4) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
回归系数 | 标准误 | 回归系数 | 标准误 | 回归系数 | 标准误 | 回归系数 | 标准误 | ||||
PGDP | 11.913*** | 4.242 | 4.491 | 4.097 | |||||||
second | -0.158 | 0.330 | -0.320 | 0.304 | |||||||
service | 0.421 | 0.349 | -0.210 | 0.342 | |||||||
education | -1.678*** | 0.539 | -0.865* | 0.511 | |||||||
health | 0.498*** | 0.170 | 0.271* | 0.157 | |||||||
Jan | -0.020 | 0.194 | -0.103 | 0.171 | |||||||
PM | -0.096 | 0.107 | -0.048 | 0.097 | |||||||
megacity | 73.923*** | 7.190 | 65.790*** | 8.712 | |||||||
bigcity | 7.648** | 3.354 | 4.104 | 4.173 | |||||||
pop | 0.197 | 2.234 | 4.704* | 2.462 | -7.476*** | 2.257 | -4.930* | 2.697 | |||
常数项 | -130.520*** | 29.610 | -8.842 | 15.941 | 40.205*** | 12.960 | 12.952 | 39.378 | |||
观测数 | 265 | 265 | 265 | 265 | |||||||
F | 9.14*** | 5.31*** | 35.94*** | 12.40*** | |||||||
Adj. R2 | 0.110 | 0.075 | 0.284 | 0.302 |
注:***:p < 0.01,**:p < 0.05,*:p < 0.1。
对于新增非户籍流入人口的估计结果,经济因素的影响并不显著,而主要受到舒适性因素的共同影响,以教育、医疗为代表的公共服务资源对非户籍流入具有导向影响。中学生师比和每万人医生数都表现为显著影响,对流动人口选择流入地的公共服务偏好有所印证[36],这种偏好与流动人口的结构变化趋势相关联,新生代流动人口对公共服务的需求比老一代更强,老龄流动人口对养老、医疗等方面的需求更甚[7]。自然舒适性因素则没有显著影响,可能是由于长时序覆盖了影响作用随时段而发生的变化。城市规模方面,两类迁移的特征相似,进入超大特大城市的数量都显著大于中小城市。这一方面与已有研究发现的人口流入地分布特征一致[39],另一方面与已有研究反映的流动人口落户意愿特征有一定衔接[15]。回归系数的大小差异反映了户籍迁移规模的城市间差距小于非户籍迁移。
5.2 新型城镇化战略相关政策的影响
2014年《规划》提出不同规模城市实行差异化落户政策,对这一时点前后进行对比从而评估新型城镇化战略的影响。图6展示了各变量的标准化回归系数及95%置信区间,对比《规划》时点前后,非户籍人口流动出现从经济性迁移向舒适性迁移的转变趋势,户籍迁移的市场化特征增强。具体而言,非户籍人口流动对就业机会的响应不显著,可能的解释有两方面:① 新生代流动人口逐渐成为新增流入人口的主要群体,他们的迁移决策可能已经发生了从经济因素向其他因素的转变[43];② 流动人口在逐步落户,而新增流动人口中未实现落户的群体规模与经济因素无显著相关关系。同时,非户籍人口流动对舒适性因素的响应增强,PM2.5浓度的系数由不显著转为负向显著,尽管医疗资源的相关性较弱,但其正系数也在增大,说明人们在常住地变动时的流动决策已经开始重视空气污染、公共服务等舒适性要素,表现出向舒适性迁移转变的趋势[35-36]。
户籍迁移方面,人均GDP的回归系数显著增大,三产占比保持了稳定的正向影响,户籍迁移的市场化特征有所增强。这主要是由于一些省会城市和副省级城市的落户政策大幅调整所致,这些城市经济发展条件较好、就业机会丰富,通过落户政策调整吸引大量户籍迁入,尤以深圳、成都、武汉等城市为代表。这种表现实质上反映了当前户籍迁移的双向选择性,部分大城市针对特定的人才群体降低落户门槛,引发了新一轮的城市竞争和人才竞争,却忽略了长期在城市就业生活的农民工群体,限制了城镇化质量的提升。户籍净迁入与舒适性要素均无显著关系,表明迁移者做户籍迁移决策时会更慎重地考虑城市实际经济发展水平和潜在就业机会形成的预期收入,而对公共服务的倾向性并没有突出体现。此外,户籍和非户籍迁移在超大特大城市的集聚依然显著,且在户籍净迁入模型中的系数变大,说明超大特大城市的落户规模仍在增加,引导流动人口在中小城市落户的政策导向效果尚不显著[14]。
图6
6 结论与讨论
中国特色的户籍制度塑造了户籍迁移和非户籍迁移两种迁移类型,对二者的比较分析有助于推动中国人口迁移研究的国际化和理论化。本文基于现有公开的常住和户籍人口统计数据,估算了城市层面的新增人口流入和户籍迁入数量,分析了二者的基本特征和影响因素。得到如下主要结论:① 户籍迁移和非户籍迁移具有总体相似的空间正相关和内陆分异的局部聚类特征,在东部沿海三大城市群间基本特征的差异性明显,两类迁移人口在城市间的分布特征不同且非户籍迁移数量的极差比户籍迁移更大,两类迁移的新增数量均与已有流动人口存量正相关;② 新增户籍迁移受经济机会差异影响较显著,一些经济发展条件较好的大城市近年来以吸引人才为目的的落户政策对户籍迁移增长有积极的促进效应,而新增非户籍迁移主要响应教育、医疗等公共服务差异,两类迁移进入超大特大城市的数量均显著大于其他城市,与流动人口分布及落户意愿的大城市偏好表现出一定关联性;③ 非户籍迁移表现出从经济性迁移转向舒适性迁移的趋势,人口流动影响因素趋于多元,户籍迁移在户籍制度普遍宽松化的背景下表现出更强的市场化特征,控制超大特大城市、放开中小城市的落户政策实施效果有限。
户籍迁移与非户籍迁移两种类型的存在及其不同特征是现阶段中国人口迁移的特色,对二者的整合分析和比较研究需要得到更多重视。一方面,本文发现非户籍迁移正逐渐从经济性迁移转向舒适性迁移,新时期流动人口的转型趋势及其深刻涵义需要进一步探讨。统计数据表明中国人口流动原因趋于多元化,而且越来越多的研究也表明流动人口的流入地决策考虑不仅仅限于经济机会,其他非经济因素的影响作用愈显重要,这种变化趋势符合一般的国际规律和理论认识。这同时也意味着随着城市由快速发展转入高质量发展阶段,提升人居环境质量在城市发展中正成为越来越重要的内容。另一方面,户籍迁移的市场化特征增强及其与非户籍迁移市场化特征的渐次变化值得关注。早期研究认为非户籍流动具有显著的市场化特征,20世纪80年代以来随着户籍制度逐步松动,农村劳动力可以自由进入城镇就业,非户籍迁移表现出与预期收入理论相符的追求更高工资、更多就业机会的市场化迁移特征。在新型城镇化进程中,落户门槛的全面下调使流动人口在流入地城市落户的可能性提高,理论上可能使户籍迁移作为人口流动和产生居留意愿后的延续性行为表现出同样的市场化特征。但实际上这种市场化特征是“畸形”的,其来源是部分大城市以人才为核心的城市竞争策略,重点吸引人才落户而非普通群体落户,这导致城镇化质量的提升和非户籍迁移人口市民化问题的解决依然存在较大难度。
户籍迁移与非户籍迁移的比较研究可为新型城镇化战略实施中的户籍制度改革提供认识依据,也对未来的政策优化具有启示意义。此处主要讨论落户政策放宽与人才引进政策的关系。据本文研究结果,大城市户籍迁入规模远大于中小城市,在流动人口分布集中化特征弱化的背景下,反而是户籍迁移表现出特殊的集中化特征,其特殊即在于通过户籍政策加快人才引进的大城市。放宽落户具有解决存量和吸引增量的双重意义,目前大城市的放宽落户实质上是后者意义,以引进人才为目标而选择性降低落户门槛。但就现阶段提升城镇化质量的任务而言,存量流动人口的落户问题更应得到重视。人才引进政策有利于提升城市人力资本,促进创新进而驱动城市经济增长,这会继续吸引流动人口进入。由此,存量流动人口的累积和落户政策的高度选择性将持续阻碍“半城镇化”困境的突破。所以,落户政策放宽首先要重视存量流动人口,使已经在城市稳定就业生活的农业转移人口完成落户,实现“完全城镇化”的过程,缩小户籍人口和常住人口城镇化率之差,稳步提升城镇化质量。
此外,本文存在一些不足之处有待后续研究补充完善。① 数据估算的内在误差。本文依托的地方统计年鉴数据可能存在统计偏差问题,非普查年份的抽样数据有待结合最新的人口普查资料进行校核,后续可以利用更为精准的数据进行估算和比较分析。② 非户籍迁移与户籍迁移的潜在关联。一般来说,乡—城迁移的农民工通常先经历流动后发生落户行为,实现完整的城镇化过程,但现实中并非如此,城乡之间循环流动而不落户的现象最为常见。本文在城市层面的分析未能反映流动与落户两种个体行为的关联关系,下一步需要借助个体数据完善从流动到落户、从决策到行为的全过程研究。③ 落户门槛的变化。对于Ⅱ型大城市的落户政策导向,2014年《规划》要求为“合理放开落户限制”,《2019年新型城镇化重点建设任务》明确为“全面取消落户限制”,经历了从相对模糊到更为明确的变化过程,具体的政策效应仍需结合新数据进行验证。
参考文献
70 years of China's migration: Mechanisms, processes and evolution
新中国人口迁移70年: 机制、过程与发展
Causes, trends and policies of population migration and mobility
人口迁移和流动的成因、趋势与政策
Historical changes of the statistical caliber of floating population in China
我国流动人口统计口径的历史变动
Peri-urbanization in China
Using data from the sixth population census,this paper explores the characteristics,formation mechanisms,and solution paths of peri-urbanization in China at province and prefecture level. Results show that more than 80% of the prefecture-level cities are subject to some degree of peri-urbanization.The higher the urbanization rate of permanent residents,the higher the urbanization rate of household registered population. Peri-urbanization increases from western to eastern regions,with the eastern region being of high-moderate peri-urbanization,the central region of moderate-low urbanization,and the western region of low-moderate urbanization,respectively. There is an increasing trend of peri-urbanization with the increase of the permanent residents.Among the capital cities,Shanghai has the highest peri-urbanization level,followed by Guangzhou,and Urumqi,and among the non-capital cities,Shengzhen has the highest level of peri-urbanization,followed by Dongguan.The city with lowest peri-urbanization level is Yichun.Regional development gap,household registration system,and distribution of interests are the major factors influencing peri-urbanization in China.Policies addressing peri-urbanization should be directed at promoting regional integration and development of urban and rural areas,adjusting interest allocation pattern,and deepening reforms of household registration system.
中国半城镇化研究
基于全国第六次普查数据研究我国31个省(市、区)和288个地级以上城市半城镇化特点、形成机制以及解决路径。研究表明:全国80%以上的地级以上城市存在不同程度的半城镇化现象,且高常住人口城镇化往往伴随高半城镇化和低户籍人口城镇化。半城镇化呈现由西向东逐渐加重的趋势,华南地区半城镇化程度最高,东北、西南最低。东部地区以高、中度半城镇化为主,中部地区以中、低半城镇化为主,西部地区以低、中度半城镇化为主。随着城镇常住人口的增加,半城镇化程度由轻向重转变。省会以上城市中,半城镇化程度最高的城市是上海,其次是广州、乌鲁木齐。非省会城市中,半城镇化程度最高的是深圳,其次是东莞。半城镇化最低、户籍人口城镇化最高的地级市为伊春。
The dilemma and breakthrough of "settling down" in the new round of household registration system reform
新一轮户籍制度改革实践中的落户困境与突破
Research on the current situation of population mobility in China and its influence
当前我国人口流动形势及其影响研究
The returning-migrant-induced urbanization: The new path of urbanization in middle China
DOI:10.13249/j.cnki.sgs.2020.05.002
[本文引用: 1]
Based on the research on population spatial diffusion and its variation in migration, this study proposes that a new path of urbanization in central area of China is emerging, namely returning-migrant-induced urbanization (RMIU). Through conducting an intensive questionnaire survey and a lot of interviews in several cities in Middle China, as well as comparing with urbanization pathways in the coastal China, we conclude 3 new characteristics of the RMIU. First, the county-level central cities have become the main attractive places for hosting returning migrants, where is the first choice for a large share of returning migrants. This is due to abundant job opportunities, good public service, better education resources, good living condition and lower living expenses. Unlike their elder generation returning from coastal areas who become peasants again, the new returning generation is still working in non-agricultural fields, both in manufacturing industries and tertiary sector. Second, many “pendular populations” are existing in counties and county-level cities, which means people working in cities, but living in countryside. Therefore, this is a centripetal urbanization featured as the strong county proper, which is much different from urbanization process in coastal China, such as exo-urbanization, urbanization from below, peri-urbanization, in situ urbanization. Third, the prefectural cities are also an important option for returning migrants for living and working, especially for those people with better economic condition. RMIU is a new phenomenon recently occurring in middle China, which is totally different from urbanization pathways in eastern China. Regarding the driving forces behind the process of RMIU, the shift of manufacturing industries from developed coastal areas to middle China is a main contributor, which creating a lot of job opportunities for returning people. With such shift, many floating persons who once worked in coastal cities are returning their hometown or nearby cities for living and working. The kinship social network facilities such trend of migrant return, as they must solve their problems of kids’ education and the eldly care. So, economic factors are not the very important force underlying the current wave of returning migrants. In addition, some of them start up business in their hometowns, with market experiences and skills getting from the coastal China. This induces the endogenous development in Middle China. Finally, some policy implementations are highlighted, including rural revitalization, urbanization policy and urban transition.
回流城镇化: 中部地区城镇化开启新路径
DOI:10.13249/j.cnki.sgs.2020.05.002
[本文引用: 1]
在对流动人口流向变化研究的基础上,通过对中部地区的实地走访和问卷调研,兼与沿海地区对比分析,提出中部地区城镇化正在开启新路径,即回流城镇化。研究总结了回流城镇化的新特点,包括县级中心城市成为回流城镇化主要载体,城乡之间出现了摆动的“两栖”人口,地级市中心城区也是回流城镇化的重要选项。回流城镇化主要由沿海经济发达地区的产业转移、亲情社会网络、回流创业内生动力的发展等驱动。最后,论文在理论层面总结了回流城镇化对中国城镇化路径研究的启示。
Changes in the form of population migration and mobility in China and corresponding policy responses at the late-intermediate stage of urbanization
DOI:10.18306/dlkxjz.2020.12.008
[本文引用: 1]
The form of population migration and mobility constitutes a key element of the characteristics of migration. Since China has entered the late-intermediate stage of urbanization, it is very important to accurately identify and understand the transformation in the form of population migration and mobility. While a growing body of literature has been generated and significant progress has been made on China's population migration and mobility and its determinants, an important inadequacy of relevant research are often focused on rural to urban population migration and mobility, neglecting the multi-dimensional forms of population migration and mobility. Based on relevant theories and international experience relating to the transformation in the forms of population migration and mobility, and using data from the China Migrants Dynamic Survey (CMDS), Report on Monitoring and Investigation of Migrant Workers in China, and relevant statistics, this study examined the processes of the transformation in the forms of the population migration and mobility in China and their characteristics at the present stage and the issues and challenges arising therefrom. The results show that there have been significant changes in the forms of population migration and mobility in China, and such changes mainly manifest in the following aspects: First, there has been a steady increase in return migration and short-distance migration; Second, inter-urban migration has also significantly increased and become increasingly common; Third, the urbanization process of the floating population based on the rural-urban transfer of their hukou has started to accelerate, and their rural-urban multiple livelihoods has increasingly shifted towards the urban end; Fourth, there has been a developing trend of urbanization driven by housing purchases in both migrants' places of origin and destination. The study also identified issues and challenges in the process of transformation in the forms of population migration and mobility, including: First, there is a lack of sustainability in in situ urbanization promoted by return migration; Second, urban-urban migration are highly concentrated in a few provinces of the eastern region; Third, there are still many obstacles for the urbanization of rural migrants based on their hukou transfer. Finally, the article puts forward some policy recommendations from the perspectives of the construction of multi-level spatial system of urbanization of the floating population, the transformation of urban governance mode, and the promotion of the capacity for sustainable development of small towns in central and western regions.
城镇化中后期中国人口迁移流动形式的转变及政策应对
DOI:10.18306/dlkxjz.2020.12.008
[本文引用: 1]
人口迁移流动形式是构成人口迁移流动特征的一个关键要素。在中国进入人口城镇化中后期后,准确判断和把握人口迁移流动形式的转变是一项十分重要的工作。论文基于人口迁移流动形式转变的相关理论与国际经验,考察现阶段中国人口迁移流动形式转变的进程和特点及由此产生的问题与挑战。研究发现,中国人口迁移流动形式已发生转变,并突出表现为人口回流现象不断增多、省际和省内人口迁移流动此消彼长的趋势日益明显;城—城流动显著增加,人口的城-城间流动将渐成常态化;流动人口户籍城镇化进程开始加快,其城乡两栖生计的重心向城镇转移;住房驱动下的流动人口就地、异地城镇化渐成趋势等。同时,人口迁移流动形式转变过程中面临着人口回流推动的就近就地城镇化发展可持续性不足;城—城流动向东部少数省市聚集的态势明显;以户籍城镇化主导的农业流动人口市民化面临多重障碍等问题与挑战。最后,从流动人口城镇化的空间载体构建、城市治理方式转变、中西部小城镇自我可持续发展能力提升等方面提出相应的建议。
China's floating population in the 21st century: Uneven landscape, influencing factors, and effects on urbanization
DOI:10.11821/dlxb201504005
[本文引用: 1]
China has witnessed unprecedented urbanization over the past decades. The rapid expansion of urban population has been dominated by the floating population from rural areas, of which the spatiotemporal patterns, driving forces, and multidimensional effects have been scrutinized and evaluated by voluminous empirical studies. However, the urban and economic development mode has been reshaped by the globalization and marketization processes and the socioeconomic space has been restructured as a consequence. How has the spatial pattern of floating population evolved against these backdrops? How has the evolution been driven by the interaction of state and market forces? What have been the contribution of population mobility to the urbanization of origin and destination regions and the evolution of China's urban system? The latest national censuses conducted in 2000 and 2010 offer the opportunity to systematically answer these questions. Analysis based on the county-level data comes to conclusions as follows. (1) The spatial pattern of floating population remained stable over the first decade of the 21st century. Three coastal mega-city regions, namely the Yangtze River Delta, the Pearl River Delta, and the Beijing-Tianjin-Hebei Region, were major concentration areas. As the emergence and rapid development of other coastal mega-city regions, the coastal concentration area of floating population tended to geographically united as a whole, whereas the spatial distribution within each region variegated significantly. (2) Floating population gradually moved into provincial capitals and other big cities in interior regions and its distribution center of gravity moved northward around 110 km during the study period. (3) Compared with extensively investigated inter-provincial migrants, intra-provincial migrants had higher intention and ability to permanently live in cities they worked in and thus might become the main force of China's urbanization in the coming decades. (4) The spatial pattern of floating population was shaped jointly by the state and market forces in transitional China. While the impacts of state forces have been surpassed by market forces in the country as a whole, they are still important in shaping the development space of central and western China. (5) The massive mobility of population contributed a large proportion to the increase of urbanization levels of both origin and destination regions and reshaped China's urban system in terms of its hierarchical organization and spatial structure.
中国流动人口空间格局演变机制及城镇化效应: 基于2000和2010年人口普查分县数据的分析
DOI:10.11821/dlxb201504005
[本文引用: 1]
基于2000和2010年全国人口普查分县数据,对中国流动人口空间格局的演变特征、形成机制及其城镇化效应进行了系统分析。研究发现,流动人口分布的空间格局具有较强的稳定性,长三角、珠三角和京津冀等沿海城市群仍然是其主要集中地,且沿海集中区有连绵化的趋势,但在城市群内部的空间分布模式差异显著。流动人口向内陆地区的省会等特大城市集中趋势明显,其分布重心出现了明显的北移。省内县际的流动人口规模已接近于省际流动,且有更高的意愿和更强的能力永久居留城镇,省内县际的永久性迁移将成为未来中国人口城镇化的主导模式。中国流动人口迁入地的选择受到政府和市场双重力量的影响,后者的影响力更强。远距离流入东部地区的人口在务工之外,对享受城市生活也开始有所考虑;而中西部地区政府力量在引导人口流动中仍起到重要作用。大规模的人口流动对流出地和流入地的城镇化水平提高均有显著贡献,同时在很大程度上重构了中国城镇体系的等级规模结构和空间布局模式。
economic opportunities and patterns of migration at the city level in China
DOI:10.1177/0117196819832054 URL [本文引用: 1]
The influence of income, lifestyle, and green spaces on interregional migration: Policy implications for China
Hukou relocation and registered population urbanization
In the Chinese context,migration is defined to be move with hukou relocation,which is closely associated with urbanization. Over the past two years,the central government has attached great importance to the urbanization progress of the registered residents. A new round of household registration system reform was launched in 2014. Based on the data of hukou registration transition in 2013,this study examines patterns and determinants of household migration and urbanization of regis- tered population. Results indicate that the difference of hukou status between rural and urban areas was the fundamental cause in holding back household migration. Moreover,migration to big cities is pre- ferred by elites,while the medium-sized cities and small towns are lack of attraction for these people.
户口迁移与户籍人口城镇化
户口迁移是真正意义上的迁移,并与城镇化密切相关。文章通过对 2013 年全年户 口迁移业务的数据分析,系统考察中国人口的户口迁移现象以及户籍人口的城镇化。研究结果显 示: 户籍制度改革无法惠及所有人群,需要利用公共服务的全覆盖来弥补政策的不足; 三类大城市 城镇户口的准入门槛相对较高并呈现出精英化倾向,大城市户籍人口城镇化的方向应当在严格控 制人口数量的前提下,向中低文化程度的劳动者有序、适当开放; 中小城市和小城镇户口对于高层 次人才的吸引力严重不足,为促进户籍人口城镇化,应该将一批有潜力的中小城市做大、做强; 提高 户籍人口城镇化率的关键环节在于对农业转移人口的妥善安排,在此过程中要防止“半城镇化”现 象的出现。
Estimating and interpreting China's Hukou migration under the strategy of new-type urbanization
DOI:10.13249/j.cnki.sgs.2021.04.001
[本文引用: 4]
Migration in China is a process that involves not only floating to destinations but also settling down there by gaining local Hukou. The second step, in particular, has become the primary concern of the recent new-type urbanization. But, important as it is, our knowledge about this particular step is severely restricted due largely to data limitation, and this article tries to overcome the restriction. In the article, we first estimate the number of Hukou migration at the 277 prefecture level cities (not including Sanya, Danzhou, Haidong, Hulunbuir, Bayannur, Wuhu, Bengbu, Zhengzhou, Pingdingshan, Nanyang, Huangshi and cities of Xinjiang, Xizang, Hong Kong, Macau, Taiwan) between 2011 and 2017; We then compare its spatiotemporal patterns with those of floating population over the period, and we further evaluate the impact of New-type Urbanization Plan on its patterns. Results show that Hukou migration has become increasingly active in recent years, and its spatial patterns are highly similar to those of the floating population. Popular destinations are primarily situated in the three coastal regions, whereas the geographic distribution of origin is much less clustered, with the highest out-Hukou-migration being found in the middle Yangtze River and Northeast China. Mega-cities are where the local Hukou is most pursed, first-tier cities maintain a persistent attraction for Hukou migration; and the emerging second-tier cities have seen a rapid increase in the intake of this migration. Small and median-sized cities, by contrast, are very uncompetitive, despite that all the restrictions on Hukou transfer have been removed there. These cities have even seen an increasing out-migration of their Hukou-holders. The results revealed here are the basis on which our advice for policy makers are made. The advice is not simply on the issue of Hukou reforms, but also touches the topics of balanced regional development and reduced urban inequality. The results also highlight the exciting research prospect of both Hukou migration and new-type urbanization, a prospect that requires both creative imaginations and vigorous investigations of China’s prospect of both Hukou migration and new-type urbanization, a prospect that requires both creative imaginations and vigorous investigations of China’s migration.
中国城市人口户籍迁移的估算及时空特征: 新型城镇化的落户政策导向
DOI:10.13249/j.cnki.sgs.2021.04.001
[本文引用: 4]
基于户籍人口自然与机械增长的分解,估算2011—2017年全国地级及以上城市的户籍迁移人口,对比分析户籍迁移和人口流动的时空特征,评估国家新型城镇化战略中按规模等级引导城市落户政策的影响。结果表明,近年来,中国户籍迁移日趋活跃,人口迁移与流动的空间格局高度耦合;迁入热点区主要集中在沿海三大城市群,迁出地较为分散,以长江中游和东北地区迁出最多。特大城市对流动人口落户的吸引力最强,一线城市户籍迁移持续活跃,新兴二线城市的迁入规模快速提升;而即使普遍没有落户限制,中小城市的吸引力仍十分有限,户籍迁出趋势持续强化。
Spatial variation and its determinants of migrants' Hukou transfer intention of China's prefecture- and provincial-level cities: Evidence from the 2012 national migrant population dynamic monitoring survey
DOI:10.11821/dlxb201610003
[本文引用: 3]
Based on data from the 2012 national migrant population dynamic monitoring survey and related statistics, this article examines the spatial pattern and its determinants of migrants' intention of hukou transfer of China's 276 prefecture- and provincial-level cities, using GIS spatial analysis and statistical modelling. The results show that the overall level of migrants' hukou transfer intention of the cities is not high, and varies significantly among different cities. The intention of migrants' hukou transfer increases as the administrative level and/or the size of their destination cities increase. Meanwhile, migrants' hukou transfer intention is generally higher in coastal mega-city regions than in other cities, but it is also relatively high in some provincial capital cities and small and medium-sized cities in some inland regions with good transport location and resource endowment. The spatial pattern of migrants' intention of hukou transfer is shaped jointly by both the characteristics of the destination cities and migrants themselves characteristics, with the former exerting more influence than the latter. High level of socioeconomic development and good location of the destination cities can effectively promote their migrants' intention of hukou transfer; however, their level of basic public services does not have the same effect. The degree of migrants' social integration in the destination cities also exerts positive effects on their hukou transfer intention. However, having medical insurance, the concentration in the secondary labor market and higher household income are negatively related to such intention; furthermore, the individual and family characteristics of migrants do not have a significant impact on it. Finally, on the basis of the above findings, we put forward some suggestions for relevant policy making.
中国城市流动人口户籍迁移意愿的空间格局及影响因素: 基于2012年全国流动人口动态监测调查数据
DOI:10.11821/dlxb201610003
[本文引用: 3]
基于2012年全国流动人口动态监测调查数据和相关统计年鉴数据,对中国地级以上城市流动人口的户籍迁移意愿、空间格局及影响因素进行了系统分析。研究发现,中国城市流动人口户籍迁移意愿的整体水平并不高;等级高、规模大的城市流动人口的户籍迁移意愿高,而等级低、规模小的城市流动人口的户籍迁移意愿低;沿海城市群流动人口的户籍迁移意愿高,其他城市流动人口的户籍迁移意愿低,但内陆部分省会城市和交通区位与资源禀赋较好的中小城市也已经形成了一批流动人口的户籍迁移意愿高值区。中国城市流动人口户籍迁移意愿的空间分布特征受到流入城市和流动人口自身双重力量的影响,流入城市因素的正向影响作用大于流动人口自身因素。其中,流入城市的社会、经济发展水平和流动人口在流入城市的社会融合程度是核心要素,对城市流动人口户籍迁移意愿的提升具有正向的促进作用,而流动人口过于集中在次级劳动力市场的就业特征和较高的家庭财富与收入对户籍迁移意愿的提升却具有显著的抑制作用。最后,提出了相关政策启示。
Migrants' willingness to settle down in cities and its determinants
中国流动人口城市落户意愿及其影响因素研究
Bringing city size in understanding the permanent settlement intention of rural-urban migrants in China
Spatial pattern and determinants of migrant workers' interprovincial hukou transfer intention in China: Evidence from a National Migrant Population Dynamic Monitoring Survey in 2016
A study on migrants' settling willingness and its influencing factors
流动人口的落户意愿及影响因素分析
Self-employment and intention of permanent urban settlement: Evidence from a survey of migrants in China's four major urbanising areas
DOI:10.1177/0042098014529346 URL [本文引用: 1]
A comparative study of permanent and temporary migration in China: The case of Dongguan and Meizhou, Guangdong Province
"This paper reports the findings of a field survey conducted in Dongguan and Meizhou, two cities in Guangdong Province with contrasting economic characteristics. The data clearly demonstrate that the permanent migrants and the temporary migrants belong to two very different segments of the population. Striking similarities are revealed for the permanent migrants in very different settings. However, there are signs that even in this tightly controlled sector, economics will soon take precedence over politics as the main driving force underlying migration."excerpt
Hukou and non-hukou migrations in China: Comparisons and contrasts
China's permanent and temporary migrants: Differentials and changes, 1990-2000
DOI:10.1080/00330124.2010.533562 URL [本文引用: 1]
Destination choices of permanent and temporary migrants in China, 1985-2005
How multi-proximity affects destination choice in onward migration: A nested logit model
DOI:10.11821/dlxb202012012
[本文引用: 1]
China's migrant population continued to grow for decades, but has slowly declined since 2015. In such a context, the destination choice of stock migrants has a profound influence on the future pattern of population distribution and urbanisation. Previous analysis and modelling of internal migration in China have mainly focused on the primary migration or the most recent one, while it has long been recognized that migration is a repetitive event. Migrants have various motives and strategies in different stages, and the experience gained from the primary migration will affect the subsequent one. So, the primary and onward migrations differ in their spatial patterns. This paper focused on China's onward migrants who have moved once. Considering both the origins and primary destinations, we constructed a framework of how multi-proximity, which includes cognitive proximity, geographic proximity, institutional proximity, informational proximity and social proximity, which generates an influence on destination choice by affecting the migration cost. Based on data from the 2017 China Migrants Dynamic Survey, and by the use of the nested logit model, we make an empirical test. The results show that migrants have a dual identity of the origin and the primary destination, and their onward migration is based simultaneously on these two places. After controlling the effects of cities' characteristics, dual multi-proximity has a significant and robust impact on migrants' decision-making. Onward migrants prefer destinations which match them well in education background, and are geographically adjacent to, and closely connected with their origins and previous destinations. The migration network between a destination and its origins increases the likelihood that onward migrants will migrate to such a destination. Besides, migrants are willing to return to the province of their origins subjectively, but cities in such provinces are generally lack of attractiveness due to low level of socio-economic development. However, the effect of proximities varies from different groups. This is reflected in the following facts. First, women are more dependent on their hometown networks than men. Second, the new generation of migrants is similar to the older one in many ways, but relies more on the information and social connections of their hometowns than the latter. Finally, highly educated migrants are able to take advantage of localized social capital owing to their deep social integration in the primary destinations and are less dependent on the social capital in their origins. So, their destination choice is more similar to local residents than their counterparts.
邻近性对人口再流动目的地选择的影响
DOI:10.11821/dlxb202012012
[本文引用: 1]
中国人口流动进入总量稳定下的空间调整新阶段,存量流动人口的再流动成为塑造人口和城镇化格局的主体因素。本文从户籍地和前期流入地两个基点出发,综合考虑地理、制度、信息、社会、认知等维度,构建了双重多维邻近性影响人口再流动目的地选择的理论框架,利用全国流动人口动态监测调查数据和嵌套Logit模型开展实证研究。结果表明:双重多维邻近性对人口再流动的空间选择具有显著而稳健的影响。人口再流动时,会选择与自身知识水平更匹配、与户籍地和前期流入地都更近、信息联系都更强的城市,但社会联系仍主要依靠老家。流动人口具有回到户籍所在省(区、市)的主观意愿,但省内城市普遍机会不多、环境欠佳,缺乏吸引力。相对而言,女性对同乡网络的依赖高于男性;新生代流动人口在很多方面继承了老一代的特点,甚至比后者更依赖老家的信息和社会联系;高学历流动人口在流入地的深度社会融入使其能够利用本地化社会资本,再流动的空间选择也与流入地居民更为类似。
Migrant workers' willing of Hukou register and policy choice of China urbanization
农民工“进城落户”意愿与中国近期城镇化道路的选择
Autocorrelation in spaces
DOI:10.1068/a110507 URL [本文引用: 1]
Local indicators of spatial association: LISA
DOI:10.1111/j.1538-4632.1995.tb00338.x URL [本文引用: 1]
A model of labor migration and urban unemployment in less developed countries
The hypothesis of the mobility transition
DOI:10.2307/213996 URL [本文引用: 1]
Review and enlightenment of overseas urban amenity research
DOI:10.11820/dlkxjz.2014.02.011
[本文引用: 1]
Traditional theories of urban development have been outmoded in the era of globalization and knowledge economy, and urban amenities are now considered as a more and more important factor promoting urban growth. Urban amenities have become an increasingly hot topic in the western countries, to which the researchers in China seem to have not paid too much attention. This article aims at obtaining a comprehensive understanding of overseas research in the field of urban amenities, in order to provide references for urban amenity research in China. By collecting and analyzing related publications, this paper gives a systematically review of overseas research on urban amenities from several aspects: (1) the theoretical basis, including human demand theory, capital theory and sciences of human settlement; (2) concepts of urban amenities defined by different researches, and three types of urban amenities, i.e. natural amenities, modern amenities and social amenities; (3) urban amenities and amenity migration; (4) the influence of urban amenities on location decisions of talents, companies and urban growth; (5) commonly used research methods of urban amenities including survey, Hedonic price model and structure equation model. After that, the author makes comments on the current research progress and research trends. At the same time, comparisons between domestic and foreign researches on urban amenities are also discussed. The main conclusions from the review are as follows. (1) Quite a few of Western scholars have demonstrated that urban amenities work as an promoter to urban development through attracting talents and companies, whereas the concept of urban amenity has been studied just as a component of the livability of a city, which has not been closely related to urban development; (2) the focus of the scholars on urban amenities has changed from natural factors previously to modern elements now, such as restaurants, museums and bars, because a city, after all, is man-made; (3) the theory of urban amenities is more concerned with the needs of talent and the creative class, so it is a demand oriented developmental theory, which can not only help make a city successful in economic growth but also facilitate continuous urban development. With the influence of globalization, there is a strong necessity of carrying out studies on urban amenities in China from the three aspects: (1) it has been widely proved that urban amenities have a strong relation with urban growth, and China will lose more profit if we ignore it, especially for super cities as Beijing and Shanghai. With the rapid progress of urbanization and economic development in China, more people come to urban areas, so it is of great significance to take urban amenities into consideration in the process of making developmental strategies; (2) urban planning system can also benefit from urban amenity studies, since it is concerning people's needs; (3) the Twelfth Five-year Plan of China has proposed to speed up economic restructuring from traditional industries to high-tech industries. Considering that the developmental theory of urban amenities lies in attracting human capital and technical enterprises, it may very well provide guidance for the economic restructuring of the cities in China. Above all, from the perspective of both perfecting related research and promoting urban growth, the research of urban amenities in China is needed.
国外城市舒适性研究综述与启示
DOI:10.11820/dlkxjz.2014.02.011
[本文引用: 1]
城市发展中所关注的研究内容随城市所处的发展阶段和时代而变化。西方发达国家对城市舒适性的研究已经有长达70年的历史,而中国在这方面的研究开展甚少,并且对国外城市舒适性相关研究缺乏全面的认识。首先系统梳理了国外研究中关于城市舒适性的理论基础、概念、内涵,及其与人口迁移和城市发展的关系,并对研究方法进行了介绍;其次对国外城市舒适性研究进展进行了简要的评述和研究趋势展望,进而提出,从城市发展前瞻性的视角出发,有必要在中国深入开展城市舒适性研究,并对如何在中国城市规划设计、城市经济转型研究中借鉴城市舒适性研究理念和研究方法进行了分析。
Where the floating population go? The characteristics and the changes of destination cities
流动人口向哪里集聚? 流入地城市特征及其变动趋势
Migration with a composite amenity: The role of rents
Does climate matter? An empirical study of interregional migration in China
DOI:10.1111/pirs.12335
[本文引用: 1]
This study focuses on the role of local climate conditions in spurring interregional migration in China over the period 2000 to 2010. We developed a robust empirical approach based on a correlated random effects model and a prefecture-level panel dataset which allows us to account for both within province migration flows and prefecture-specific characteristics. Empirical results reveal that climate conditions are important determinants of migration in China. Specifically, prefectures with warmer winter, cooler summer, and more available sunshine are more attractive to migrants. Economic factors such as income level and employment opportunities are also important drivers of population growth.
Examining the role of air quality in shaping the landscape of China's internal migration: Phase characteristics, push and pull effects
DOI:10.11821/dlyj020190892
[本文引用: 2]
With the continuous changes in the composition and migration patterns of floating population in China, amenities such as air quality have gradually become important factors in shaping the spatial pattern of migration. On one hand, the heterogeneous demand structure of various subgroups of migrants is surely to lead to substantial change in their overall preference for attributes of destination cities as the composition of migrants evolves significantly in recent years, that is, but not limited to, the increasing shares of the high-skilled, the aged, and followers. On the other hand, emerging types of migration such as inter-city migration, secondary migration, and return migration has not only made the spatial modes of China′s internal migration much more complex than before but also provided more opportunities to cities that used to lack economic superiority and thus can rarely share the migration dividend in the past. Against this background, based on the data of population censuses and sample surveys since 2000 and by using panel data models, this paper explores the overall characteristics, changing trends and acting paths of the effect of air quality on migration. Regression results of the panel data model demonstrated the significantly positive association between air quality and net migration rate which has rarely been discussed in previous literature. A set of cross-sectional models further revealed the increasing role that air quality plays in affecting the geography of China′s internal migration, which is in line with the migration transition history of developed countries. In-depth analysis on the mechanism of this effect found that the environmental condition has been acting mainly as a push factor instead of a pull one. Air quality is directly related to the emigration decision, which means that a number of Chinese people have been escaping from heavily polluted areas. In contrast, satisfactory air quality and pleasant living conditions have not been a vital factor in attracting migrants. As it is a fact that income level and job opportunity still play a significant role in pulling, their overall influence has been shrinking gradually as the income level increases commonly in all Chinese cities. In addition, the study verified the guiding role of accessibility of educational resources for cities to attract internal migrants and further revealed the continuously strengthened position of megalopolises as the main spatial form of China′s new-type urbanization from the perspective of migration.
空气质量对中国人口迁移的影响
DOI:10.11821/dlyj020190892
[本文引用: 2]
随着中国流动人口群体构成和迁移模式的持续变化,空气质量等舒适性要素逐渐成为塑造人口迁移空间格局的重要因素。基于2000年以来的人口普查和抽样调查数据,本文探讨了空气质量对人口迁移影响的总体特征、变动趋势和作用模式。研究发现,空气质量已逐渐成为影响中国人口迁移格局的重要因素,且主要表现为推力作用。空气质量直接关系到人口迁出决策,污染严重的地区更难留住人;而在迁入地选择过程中,收入水平和就业机会则更为重要,但其影响近年来有所弱化,城市吸引力更加综合多元。此外,研究还验证了教育资源对人口迁移的导向性作用,并从人口迁移的角度发现了城市群作为城镇化主体形态的地位在持续强化。
"Mengmu sanqian" among cities: An empirical study on the influence of public services on labor migration
城市间的“孟母三迁”: 公共服务影响劳动力流向的经验研究
Acquiring a Beijing hukou: Who is eligible and who is successful
DOI:10.1017/S0305741019001541 URL [本文引用: 1]
China's inter-provincial migration patterns and influential factors: Evidence from year 2000 and 2010 population census of China
中国省际人口迁移区域模式变化及其影响因素: 基于2000和2010年人口普查资料的分析
Changes of destination distribution of floating population in China (2000-2015)
中国流动人口流入地分布变动特征(2000—2015)
Spatial pattern and influencing mechanism of interprovincial migration's Hukou transfer intention in China
DOI:10.13249/j.cnki.sgs.2019.11.003
[本文引用: 1]
Based on data from migration dynamic micro survey 2016, this article first construct the network of interprovincial Hukou transfer intention in China. Then, with the use of some spatial analysis methods, including global Moran’s I coefficient and hot spot, we explore the spatial pattern of such network. Considering network autocorrelation in our data, Eigenvector Spatial Filtering Gravity Model (ESFGM) is applied for analyzing the driving factors. Main results reveal that: 1) The network shows a concentrating spatial pattern, and migrating flows with high ranks are mainly from the undeveloped areas to developed regions. That is to say, the willingness of transferring Hukou differs from regions to regions, showing heterogeneity. 2) Although there exists a random spatial pattern of Hukou attractiveness, such pattern of out-migration is concentrating. Furthermore, provinces in the west and northwest are the hot spot areas of Hukou emigration intention, while the cold spot areas are the mid-east regions in China. 3) From the macro perspective, population of destination shows a negative impact on Hukou transfer intention, while the size of population in an origin is not highly correlated; per capita GDP of both origin and destination, as well as export of foreign-invested firms, influence the intention positively and notably. But among all macro factors, the average wage of employees in urban areas leads to relatively higher impact. 4) From the micro perspective, generally speaking, migrants’ individual and family factors have strong ties with their Hukou transfer intention. A migrant, with higher education level, smaller age and larger scale of family in the destination, tends to transfer his (or her) Hukou to the immigration place. In the meantime, impacts of house condition and migration reason cannot be ignored: a migrant with lower intention of buying a local house or migrating for business, is likely to have a lower intention of transferring Hukou.
中国省际流动人口户籍迁移意愿的空间格局及影响机制分析
DOI:10.13249/j.cnki.sgs.2019.11.003
[本文引用: 1]
构建中国省际流动人口户籍迁移网络,运用探索性空间分析及空间滤波等方法分析该网络的空间格局和驱动力。主要发现:① 户籍迁移意愿网络呈现出集聚的空间格局,排序较高的户籍迁移意愿流主要从欠发达地区指向发达地区。② 户籍吸引力及户籍流出分别呈现出随机及集聚的空间格局,户籍流出热点区为西部及东北地区,冷点区为中东部地区。③ 迁入地人口、FDI、迁入地及迁出地人均GDP、平均工资等因素均显著影响户籍迁移意愿。流动人口个体、家庭因素、住房条件及迁移原因等同样与户籍迁移意愿的关系紧密。
Migration of human capital in the context of vying for talent competition: A case study of China's "first-class" university graduates
DOI:10.11821/dlyj020200437
[本文引用: 1]
Human capital is the key driver of urban innovation and development. In 2017, the "vying for talent" competition was initiated by some second-tier cities, since then cities have been competing each other fiercely for recruiting and retaining talent. This paper focuses on China′s "first-class" university graduates, who are regarded as the main target of the "vying for talent" competition and an important carrier of human capital. Based on 2018 Graduate Employment Reports, this paper demonstrates the spatial mobility of graduates using Cartogram. In addition, an evaluation system for assessing talent policy is constructed through analyses of the talent policies issued by different cities. With a directional migration model, the determinants of graduate mobility are explored. The results reveal that there are significant regional disparities in retention rates, with the geographical patterns of the Y-shaped low-value areas in the northeastern, northwestern, and central regions, and the U-shaped high-value areas covering east coast to southwest. Graduates have been accumulating spatially, and the T-shaped cluster along east coast and the Yangtze River Economic Belt has formed. The spatial patterns of "neighborhood interaction" and "long-distance unidirectional flow" are presented between the city of university and the city of employment. Moreover, the differences in city attractiveness are remarkable. First-tier cities are preferred by graduates, even though limited talent policies have been implemented there. Some second-tier cities have issued talent policies to make up for the lack of attractiveness in economy and amenities. The findings suggest that economic factors, such as income level and technological innovation, as well as amenities including natural and cultural environment, educational resources, and public transportation are positively associated with the volume of graduates inflow. It has been found that a higher ratio of house price to income has squeezed out university graduates. With regard to talent policies, only relaxed hukou policy has a strong effect on attracting graduates, whereas the effects of housing and employment policies are relatively limited. However, it needs to be noted that talent policies may take a longer time to show effects, which requires follow-up investigation. In addition, heterogeneity at the individual level in terms of place of origin, major, etc. should be explored in the future studies.
“人才争夺战”背景下人才流动的空间特征及影响因素: 以中国“一流大学”毕业生为例
DOI:10.11821/dlyj020200437
[本文引用: 1]
自2017年以来,“人才争夺战”如火如荼,城市步入以人才为核心要素的高维竞争阶段。作为人才争夺战的主要目标和人力资本的重要承载者,本文聚焦中国“一流大学”毕业生,基于2018年《毕业生就业质量报告》,运用Cartogram地图呈现了毕业生的空间流动特征,并梳理政府人才政策文件构建了人才政策评价指标体系,运用有向迁移模型剖析毕业生流动的影响因素。结果表明:① 就学地存在粘滞性,但区域差异显著,毕业生向一线城市集聚。② 城市吸引力水平分异明显,部分城市通过发布人才政策以补充地方经济、舒适性吸引力的不足。③ 经济维度要素与城市舒适性均能有效吸引毕业生流入,较高房价收入比会引发“挤出效应”。人才政策中,落户政策对毕业生流入起激励作用。
The flow direction selection of the new generation highly educated floating population and the influence mechanism of the selection
新生代高学历流动人口的流向选择及影响机制
Toward job or amenity? Evaluating the locational choice of internal migrants in China
DOI:10.1177/0160017619863476 URL [本文引用: 1]
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