LEADER 05753oam 22008175 450 001 9910781814203321 005 20200520144314.0 010 $a1-281-21771-9 010 $a9786611217716 010 $a0-8213-7307-2 024 7 $a10.1596/978-0-8213-7306-4 035 $a(CKB)1000000000484694 035 $a(EBL)459916 035 $a(OCoLC)290525887 035 $a(SSID)ssj0000087874 035 $a(PQKBManifestationID)11983572 035 $a(PQKBTitleCode)TC0000087874 035 $a(PQKBWorkID)10070450 035 $a(PQKB)10414274 035 $a(MiAaPQ)EBC459916 035 $a(Au-PeEL)EBL459916 035 $a(CaPaEBR)ebr10217101 035 $a(CaONFJC)MIL121771 035 $a(The World Bank)162507376 035 $a(The World Bank)ocn162507376 035 $a(US-djbf)14952716 035 $a(EXLCZ)991000000000484694 100 $a20070803d2008 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aKnowledge, technology, and cluster-based growth in Africa /$fedited by Douglas Zhihua Zeng 210 1$aWashington, DC :$cWorld Bank,$d[2008] 210 4$dcopyright 2008. 215 $aix, 130 pages $cillustrations ;$d27 cm 225 0 $aWBI learning resources series 300 $aDescription based upon print version of record. 311 $a0-8213-7306-4 320 $aIncludes bibliographical references. 327 $aContents; Foreword; Acknowledgments; 1. Knowledge, Technology, and Cluster-Based Growth in Africa: Findings from 11 Case Studies of Enterprise Clusters in Africa; Table 1.1. Overview of 11 enterprise clusters in Africa; Table 1.2. Sources of new ideas in the Mwenge handicrafts cluster; Table 1.3. Education levels of entrepreneurs in selected clusters; Table 1.4. Firms' perception of government support in Nnewi cluster; 2. The Suame Manufacturing Cluster in Ghana; Figure 2.1. Population growth of Suame Magazine; Table 2.1. Products and services of the Suame cluster 327 $aTable 2.2. Education levels of respondents Table 2.3. Primary sources of acquired skills; 3. The Kamukunji Metalwork Cluster in Kenya; Table 3.1 Key success factors; 4. The Lake Naivasha Cut Flower Cluster in Kenya; Table 4.1. Growth in floricultural exports, 1995-2004; Table 4.2. Major export destinations of Kenya's floral exports, 2003; Table 4.3. Distribution of flower farms in Kenya by major growing region, 2005; Table 4.4. Distribution of the most important floral varieties grown in Kenya; 5. The Nnewi Automotive Components Cluster in Nigeria 327 $aTable 5.1. Size distribution of automotive spare parts manufacturing enterprises in Nnewi Table 5.2. Profile of firms in the Nnewi Cluster, 1997; Table 5.3. Foreign machinery imports; Table 5.4. Rating of inter-firm linkage types; Table 5.5. Vertical and horizontal links among firms in the Nnewi cluster; Table 5.6. Average number of employees per firm, by skill type, 2000-2004; Figure 5.1. Constraints faced by firms in the importation of components; Figure 5.2. Firms' assessment of physical infrastructure; Table 5.7. Firms' perception of government support to the cluster 327 $aTable 5.8. Assessment of the competitive environment 6. The Otigba Computer Village Cluster in Nigeria; Figure 6.1. Small and medium-size enterprises in the Otigba Computer Village cluster; Box 6.1. Entrepreneurship trajectory at Otigba Computer Village; Table 6.1. Changes in competitive factors (percent); Table 6.2. Staffing trends in Otigba cluster, 2000-2004; Table 6.3. Firms' perceptions of changing horizontal and vertical links (percent); Table 6.4. Prominent features of the Otigba Computer Village cluster; 7. Handicraft and Furniture Clusters in Tanzania 327 $aBox 7.1. Agglomerative benefits in the furniture and handicraft clusters Table 7.1. Education of entrepreneurs in the Mwenge and Keko Clusters (percent); 8. The Lake Victoria Fishing Cluster in Uganda; Table 8.1. Geographical location of fish-processing plants by nearest city in Uganda, March 2004; 9. The Textile and Clothing Cluster in Mauritius; Table 9.1. Number of textile and clothing firms (2000-2005); Table 9.2. Employment in the textile and clothing sector (2000-2005); Table 9.3. Quality component of different product lines, 2004 327 $aTable 9.4. Hourly costs of unskilled labor in the textile industry, 1997 330 $aAfrica is on the move, demonstrating in recent years a significant potential for economic growth. Although the region still faces many challenges, it is also generating pockets of economic vitality in the form of enterprise clusters that are contributing to national, regional, and local productivity. Through case examples from Ghana, Kenya, Mauritius, Nigeria, South Africa, Tanzania, and Uganda, this book provides an understanding of how these dynamic enterprise clusters were formed and have evolved, and how knowledge, human capital, and technology have contributed to their success. 410 0$aWorld Bank e-Library. 606 $aIndustrial clusters$zAfrica 606 $aEnterprise zones$zAfrica 606 $aBusiness enterprises$zAfrica 615 0$aIndustrial clusters 615 0$aEnterprise zones 615 0$aBusiness enterprises 676 $a338.96 701 $aZeng$b Douglas Zhihua$01554506 712 02$aWorld Bank. 801 0$bDLC 801 1$bDLC 801 2$bYDX 801 2$bBAKER 801 2$bBTCTA 801 2$bYDXCP 801 2$bCDX 801 2$bBWX 801 2$bDLC 906 $aBOOK 912 $a9910781814203321 996 $aKnowledge, technology, and cluster-based growth in Africa$93864646 997 $aUNINA