Industrial Clustering, Firm Performance and Employee Welfare
Evidence from the Shoe and Flower Cluster in Ethiopia
Summary
Excerpt
Table Of Contents
- Cover
- Title
- Copyright
- About the author(s)/editor(s)
- About the book
- This eBook can be cited
- Abstract
- Zusammenfassung
- Acknowledgement
- Contents
- List of Tables
- List of Figures
- List of Acronyms
- 1. General Introduction
- 1.1 Background
- 1.2 Literature Review and Experimental Hypotheses
- 1.3 Research Problem and Significance of the Study
- 1.4 Research Objectives and Questions
- 1.5 Methods
- 1.6 Structure of the Book
- 2. Industrial Clustering and Firm Performance: The Ethiopian Leather Shoe Industry
- 2.1 Introduction
- 2.2 Overview of the Ethiopian Leather Shoe Industry
- 2.3 Conceptual Framework
- 2.4 Survey Design, Data and Measurement
- 2.5 Characteristics of Sample Enterprises
- 2.6 Firm Location Choice
- 2.7 Industrial Clustering, Firm Performance and Employee Welfare
- 2.8 Estimation Strategy and Results
- 2.9 Transmission Mechanisms
- 2.9.1 The Leather Footwear Cluster and its Supply Chain
- 2.9.2 Industrial Clustering and Small Firm Growth Barriers
- 2.10 Concluding Remarks
- 3. Impacts of the Cluster Development Program in Ethiopia
- 3.1 Introduction
- 3.2 Data and Sampling Method
- 3.3 Pre-Intervention Characteristics of Sample Firms
- 3.4 Potential Impacts of the MSME Cluster Development Program
- 3.5 Evaluation Methods, Results and Discussions
- 3.5.1 Evaluation Methods
- 3.5.2 Estimation Results and Discussions
- 3.6 Concluding Remarks
- 4. Welfare and Gender Impacts of Female Employment in an Industry Cluster: Evidence from the Flower Cluster in Ethiopia
- 4.1 Introduction
- 4.2 Context
- 4.3 Theoretical Model
- 4.4 Econometric Model
- 4.5 Sampling Method, Data and Measurements
- 4.6 Initial Demographic and Socio-Economic Characteristics
- 4.7 Estimation Strategy and Results
- 4.7.1 Impact on the Monetary Dimension of Wellbeing
- 4.7.2 Impact on the Non-Monetary Dimension of Wellbeing
- 4.7.3 Gender Roles
- 4.7.4 Transmission Mechanism: Drivers of the Observed Welfare Changes
- 4.8 Concluding Remarks
- 5. Conclusion
- 5.1 Synopsis
- 5.2 Limitations of the Study and Suggestions for Future Research
- References
- Annexes
Table 2.1: Years of Operation of the leather footwear manufacturers
Table 2.2: Initial numbers of workers among leather footwear manufacturers
Table 2.3: Sources of Initial Investment and Working Capital
Table 2.4: Percentages of formally registered leather shoe manufacturers in Ethiopia
Table 2.5: Characteristics of leather shoe manufacturer entrepreneurs in Ethiopia, 2013
Table 2.6: Site-specific factors of leather manufacturing firms in Ethiopia, 2013
Table 2.7: Major reasons for firm location choice among leather shoe manufacturers, 2013
Table 2.8: The performance of clustered and non-clustered leather shoe industry firms
Table 2.9: Leather shoe manufacturer marketing channels by location, 2013
Table 2.10: Wage rates, Number of employees and Growth among Leather shoe manufacturers
Table 2.11: Work experience among employees of clustered and non-clustered leather shoe manufacturers in Ethiopia, 2013
Table 2.12: Percentages of female workers in the leather shoe industry in Ethiopia, 2013
Table 2.13: Nearest neighbor matching estimates of industrial clustering effects on the leather shoe manufacturers’ performance
Table 2.14: Random effect estimates of the industrial clustering effects on the leather shoe manufacturers Performance
Table 2.15: Regression estimates of the earning function of cluster impacts on the leather shoe Manufacturers, 2013
Table 2.16: Percentages of Shoe manufacturers that collaborate frequently with other Manufacturers, 2013
Table 2.17: Relationship Between firm performance and horizontal collaboration in the leather shoe industry in Ethiopia, 2013 ← 15 | 16 →
Table 2.18: Relationship between firm performance and downstream collaboration
Table 2.19: Relationship between firm performance and upstream collaboration
Table 2.20: Mean scores of small firm growth constraints in the leather shoe industry, 2013
Table 3.1: Pre-Intervention Entrepreneur characteristics
Table 3.2: The Characteristics of the Control and treatment Firms before the implementation of the cluster policy
Table 3.3: Mean monthly performance indicator values among control and treatment leather shoe manufacturers before the implementation of the cluster policy
Table 3.4: The performance of treatment and control firms in 2010 and 2013
Table 3.5: The DID Estimates of the impacts of the cluster development program
Table 3.6: Business network effects of the cluster development policy: DID model results
Table 3.7: Impacts of cluster policy on information and experience exchange collaboration
Table 3.8: Percentage of Shoe manufacturers that collaborated frequently with similar firms in the leather shoe industry in Ethiopia
Table 3.9: The mean value of Small firm growth constraint indicators in the leather shoe industry in Ethiopia
Table 4.1: Education and Experience of the Women and Their Spouse
Table 4.2: Demographic Characteristics
Table 4.3: Initial Economic Condition of the Respondent by Participation Status
Table 4.4: The Initial Characteristics of the respondent Parent
Table 4.5: Potential Impact of female Flower Job employment
Table 4.6: DID Estimation of Female Employment Impact on Wage and Non-wage Income
Table 4.7: The FIML Estimates of Selection & Consumption Welfare Equation ← 16 | 17 →
Table 4.8: The Computed ATE and ATET values based on the Consumption Function Estimates
Table 4.9: DID, FE, DID_GMM and DID-3SLS Estimate of Consumption Welfare
Table 4.10: Annual expenditure on clothing, cloth, tailoring and footwear (Birr), 2013
Table 4.11: Impact on Poverty Incidence
Table 4.12: The Probit Model estimate of the Poverty Impact of Female Employment
Table 4.13: The FIML Estimates of log of per Adult Food Consumption Equations
Table 4.14: The Computed ATE and ATET values based on the food Consumption Function Estimates
Table 4.15: Impact on Food consumption
Table 4.16: Percentage of children and adults who ate one, two three and four times per day
Table 4.17: Percentage of household members who ever sleep hungry last week,2013
Table 4.18: Food Insecurity and hunger Status Level-Categorical
Table 4.19: Impact on Food Insecurity and Hunger scale-Continuous
Table 4.20: Women’s Own Happiness Assessment, 2013
Table 4.21: Impact on Intra-Household Leisure Time Allocation, 2013
Table 4.22: Percentage of Member women and Average Social Capital Score, 2013.
Table 4.23: Access to Emergency Fund
Table 4.24: Average Monthly hour the women spend on domestic work
Table 4.25: Intra-Household Earning Difference
Details
- Pages
- 235
- Year
- 2016
- ISBN (PDF)
- 9783653063783
- ISBN (ePUB)
- 9783653959246
- ISBN (MOBI)
- 9783653959239
- ISBN (Hardcover)
- 9783631667446
- DOI
- 10.3726/978-3-653-06378-3
- Language
- English
- Publication date
- 2016 (February)
- Keywords
- Innovation Productivity Food security Poverty
- Published
- Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2016. 235 pp., 60 tables, 16 graphs
