Although manufacturing has played an important role in the growth of developing countries, Africa has lagged in this industry. This book argues that activities sharing the characteristics of manufacturing, including tourism and ICT, are beginning to play an important role in Africa, offering new opportunities for growth in coming decades.
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In: American federationist: official monthly magazine of the American Federation of Labor and Congress of Industrial Organizations, Band 35, S. 575-590
1. Introduction -- The need for industrial location analysis -- Concentration on disaggregated manufacturing activity -- The location of economic activity -- Outline of following chapters -- 2. Description Of The Data Base -- Regions used -- Location data -- Industrial linkage data -- Summary -- 3. Measurement of Factors Influencing Industrial Location -- Nonrandomness in location -- The orientation of industries -- Summary -- 4. The Measurement of Geographic Association -- Previous measures of geographic association -- The measure of association used -- The effect of cluster size on geographic association -- Variation in the measure of geographic association between urban and rural regions -- Geographic associations among more than two industries -- Summary -- 5. The Impact of Linkages on Industrial Location -- Analysis of results for all industries -- Regression analysis of individual manufacturing industries -- Industrial complexes -- Summary -- 6. Summary of Results and Conclusions -- Summary of preceding chapters -- Implications for industrial location practice and policy -- Suggested extensions of the analysis -- List Of References -- Appendices -- A-1. Substitution of SEA's for SMSA's in the Northeast -- A-2. Method of selecting 199 industries used -- A-3. Extent and consequences of errors remaining in data -- B-1. Biased correlation coefficients with disaggregated regional data -- B-2. Factor analysis identification of industrial complexes -- C-1. Summary of bilateral linkages and associations by industry -- C-2. Correlations between employment estimates for three subdivisions of ten sample industries -- C-3. Correlations between employment estimates for SMSA and non-SMSA subdivisions of fifteen sample industries.
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