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产业疏解对首都劳动力就业的影响效应——基于2015—2018年数据的实证分析    

Research on the Effect of Industrial Dislocations on Capital Labor Employment——An Empirical Analysis on Data from 2015 to 2018

文献类型:期刊文献

中文题名:产业疏解对首都劳动力就业的影响效应——基于2015—2018年数据的实证分析

英文题名:Research on the Effect of Industrial Dislocations on Capital Labor Employment——An Empirical Analysis on Data from 2015 to 2018

作者:姜鹏飞[1];翟瑞瑞[2];汪蓉[1]

第一作者:姜鹏飞

机构:[1]北京联合大学商务学院,北京市100025;[2]北京邮电大学网络教育学院,北京市100876

第一机构:北京联合大学商务学院

年份:2020

卷号:34

期号:7

起止页码:119-128

中文期刊名:中国流通经济

外文期刊名:China Business and Market

收录:CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2017】;CSSCI:【CSSCI_E2019_2020】;

基金:北京市教育科学“十二五”规划课题“高等职业教育院校毕业生就业质量评价体系研究”(CEA15190)。

语种:中文

中文关键词:产业疏解;就业效应;投入产出;京津冀协同发展

外文关键词:industrial dislocation;employment effect;input-output;Beijing-Tianjin-Hebei coordinated development

摘要:首都人口疏解问题是京津冀协同发展的社会焦点与理论热点,是劳动经济学等领域的关键课题。人口主要依附于区域和产业而存在,产业是人口区域间转移的重要约束条件,产业疏解对劳动力就业的影响可以用投入产出的方法进行分析,根据行业投入影响就业的内生性、衍生性和共生性特征,其对就业的影响体现为行业内就业影响系数和行业间就业影响系数(包括行业影响力系数、行业感应力系数和行业互动系数)。首都产业疏解涉及19个行业,根据2015—2018年资料测算结果,第一产业的疏解对劳动力疏解的拉动效应不明显,第二产业中民生基础性行业和大部分第三产业的疏解对本行业劳动力就业的影响显著;民生基础性行业及信息服务行业的行业间溢出效应显著,行业疏解对其他行业劳动力就业的带动能力强,而且民生基础性行业之间往往存在共生关系,行业间就业反馈效应明显。鉴于此,对行业内就业影响系数、行业影响力系数、行业感应力系数均较低的行业,可以采取减少本地投资或异地投资的方式,通过“直接转移”实现“以业控人”;对行业感应力系数高、行业影响力系数低的行业,通过限制上游投资规模、产品或服务外包等手段实现“业转人转”;对行业内就业影响力系数、行业影响力系数均较高的行业,疏解时必须充分考虑其便民性质,采取产业提质升级为主、产业转移为辅的政策,将符合首都功能定位的环节留在北京市,其他环节可以异地外包;而对制造业、区域性物流基地、批发和零售业、部分教育服务功能、部分医疗服务功能以及部分行政性、事业性服务机构等重点行业的疏解,应根据各行业的特征确定各自的疏解政策。
Capital population dislocation is the social and theoretical focus of the coordinated development of Beijing-Tianjin-Hebei;it is also the core task in the field of labor economics.Population is mainly dependent on region and industry.Industry is an important constraint of population dislocation among regions.The impact of industrial dislocation can be analyzed with the help of input-output method.According to the endogenous,symbiotic and derivative characteristics of industrial input in having effect on employment,its impact on employment can be demonstrated as intra-industrial employment influence coefficient and inter-industrial employment influence coefficient(including industrial influence coefficient,industrial induction coefficient,and industrial interaction coefficient).Capital industrial dislocation involves 19 industries;and according to the result of material measurement from 2015 to 2018,the driving effect of industrial dislocation in the primary industry on labor dislocation is very low,the impact of industrial dislocation in fundamental industries to improve the wellbeing in the secondary industry and most of the industries in the tertiary industry on employment in its own industry is significant;the spillover effect among fundamental industries to improve the wellbeing and information service industries is significant;the leading effect of industrial dislocation on employment of other industries is strong;there is the symbiotic relation among the fundamental industries to improve the wellbeing;and the employment feedback effect among these industries is obvious.Because of this,for industries with low employment influence coefficient,industrial influence coefficient,and industrial induction coefficient,we should reduce local investment or invest to other regions;for industries with high industrial induction coefficient and low industrial influence coefficient,we should control upstream investment scale and implement products or service outsourcing;for industries with higher employment influence coefficient and industrial influence coefficient,we should fully consider their convenience,take improving industrial quality and upgrading as the primary policy and industrial dislocation as the second,and relieve Beijing of functions nonessential to its role as the capital;and for such critical industries as manufacturing,regional logistic base,wholesaling and retailing,some education service function,some medical service function,and some administrative and public service institutions,we should,determine different dislocation policies for different industries according to their own characteristics.

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