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Research on Labor Market Institutional Environment and Labor Agglomeration-Analysis Based on Dynamic Spatial Panel Data.

ABSTRACT: The institutional environment not only has a great impact on economic development but also has a certain impact on labor agglomeration. This paper explains the phenomenon of labor agglomeration from the perspective of the labor market institutional environment. Taking the labor market institutional environment including social contract environment and labor contract environment as the premise, it is considered that a good labor institutional market can promote labor agglomeration and technological progress can stimulate the agglomeration of highly-skilled talents through theoretical analysis. Based on the provincial panel data from 2001 to 2017, the empirical analysis is conducted to verify the relevant factors through the dynamic spatial Durbin model. The paper finally puts forward some policy suggestions to maintain a good institutional environment of the labor market, including that the local government should continue to improve the labor dispute settlement system, strengthen the protection of labor rights and interests, and enhance the institutional environment of the regional labor market.

SUBMITTER: Guan H

PROVIDER: S-EPMC8531718 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Research on Labor Market Institutional Environment and Labor Agglomeration-Analysis Based on Dynamic Spatial Panel Data.

Guan Huaping H Zhang Jianwu J Zhu Xiaoping X

Frontiers in sociology 20211008

The institutional environment not only has a great impact on economic development but also has a certain impact on labor agglomeration. This paper explains the phenomenon of labor agglomeration from the perspective of the labor market institutional environment. Taking the labor market institutional environment including social contract environment and labor contract environment as the premise, it is considered that a good labor institutional market can promote labor agglomeration and technologic ...[more]

PMID: 34692818

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Project description:BackgroundGiven the inconsistent findings regarding associations between obesity and unemployment, our analysis is one of the few that explores bidirectional changes in obesity and unemployment. In our prospective study, we address factors associated with the a. transition into and transition out of obesity, including unemployment, and b. transition into and out of unemployment, including obesity.Subjects and methodsThe Labor Market and Social Security-Panel (PASS) consists of two independent, nationally representative German subsamples: residents receiving unemployment benefits (50%) and a representative sample of residents (50%). The sample contains N = 11 361 observations between two measurement points three years apart of N = 8440 individuals participating in two or three waves between 2009 and 2015. We analyzed potential predictors of the transition in and out of obesity and unemployment, including health-related quality of life (HrQoL) and physical activity, using logistic regression models.Results1. Transition into obesity: Unemployed participants had a higher probability of exhibiting a body mass index (BMI) ≥ 35 kg/m2 three years later (transition into obesity classes II and III; Exp(B) = 1.5). 2. Transition out of obesity: Unemployment did not predict transition out of obesity. Physical activity at least once weekly increased the probability of no longer having a BMI ≥ 35 kg/m2 three years later (Exp(B) = 2.0). 3. Transition into unemployment: Obesity was not associated with becoming unemployed three years later. Participants with a lower mental HrQoL were more likely to become unemployed (Exp(B) = 0.98). 4. Transition out of unemployment: Unemployed individuals reporting a BMI of 30-34.9 kg/m2 were less likely to leave unemployment (Exp(B) = 0.67). A better physical HrQoL was associated with a higher probability of leaving unemployment (Exp(B) = 1.01).ConclusionsObesity does not predict future unemployment, but unemployed individuals with obesity have a lower probability of labor market re-entry. Unemployment increases obesity risk. Interactions between obesity and possible confounding variables and their effect on unemployment warrants further examination.

Dataset Information

Research on Labor Market Institutional Environment and Labor Agglomeration-Analysis Based on Dynamic Spatial Panel Data.

Publications

Research on Labor Market Institutional Environment and Labor Agglomeration-Analysis Based on Dynamic Spatial Panel Data.

Similar Datasets

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