Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The study investigates the relationship between three different types of unemployment and urban self-employment in China. In spite of numerous studies on factors driving entrepreneurship and self-employment, previous literature has not shed a consistent light on the association between unemployment and self-employment. This study therefore drills down to three different types of unemployment-retirement resignation, and layoff to further conduct this investigation. Data from the China Labor Statistical Yearbooks are used. A panel data model is adopted to examine three different unemployment forces for self-employment propensityretirement propensity, resignation propensity, and layoff propensity among the unemployed. We found that retirement and resignation among those unemployed are associated with selfemployment rate growth, while the effect of those laid-off is unclear. The study interpreted the findings and indicated research limitations and future research directions.
Ting Zhang. 2014. \u201cThe Retired, the Resigned, or the Laid-off? Who are the Urban Self-employed?\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 14 (GJMBR Volume 14 Issue B4): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 131
Country: United States
Subject: Global Journal of Management and Business Research - B: Economic & Commerce
Authors: Ting Zhang (PhD/Dr. count: 0)
View Count (all-time): 155
Total Views (Real + Logic): 4566
Total Downloads (simulated): 2241
Publish Date: 2014 07, Thu
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Neural Networks and Rules-based Systems used to Find Rational and
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The study investigates the relationship between three different types of unemployment and urban self-employment in China. In spite of numerous studies on factors driving entrepreneurship and self-employment, previous literature has not shed a consistent light on the association between unemployment and self-employment. This study therefore drills down to three different types of unemployment-retirement resignation, and layoff to further conduct this investigation. Data from the China Labor Statistical Yearbooks are used. A panel data model is adopted to examine three different unemployment forces for self-employment propensityretirement propensity, resignation propensity, and layoff propensity among the unemployed. We found that retirement and resignation among those unemployed are associated with selfemployment rate growth, while the effect of those laid-off is unclear. The study interpreted the findings and indicated research limitations and future research directions.
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