Metropolitan Industrial Clusters : Patterns and Processes
Where do industries locate within a metropolitan area? Do different industrial sectors have different patterns of location/clustering? Can these patterns be understood with reference to industry characteristics? What is the geographical relationshi...
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| Format: | Policy Research Working Paper |
| Language: | English en_US |
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World Bank, Washington, DC
2014
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| Online Access: | http://documents.worldbank.org/curated/en/2003/06/2390974/metropolitan-industrial-clusters-patterns-processes http://hdl.handle.net/10986/18158 |
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okr-10986-181582021-04-23T14:03:41Z Metropolitan Industrial Clusters : Patterns and Processes Chakravorty, Sanjoy Koo, Jun Lall, Somik V. ACCIDENTS BASIC METALS ECONOMIC ACTIVITY ECONOMIC FACTORS ECONOMIES OF SCALE ECONOMISTS EXTERNALITIES FAMILIES FINANCIAL INSTITUTIONS FOOD PROCESSING HEALTH CARE HIGH LEVELS HOSPITALS INDUSTRIAL SECTOR INNOVATION INTERNATIONAL BANKS IRON LABOR MARKETS LAND USE LARGE CITIES MANUFACTURING INDUSTRY MARKET ENTRY METALS METROPOLITAN AREAS MIGRANTS POLITICAL ECONOMY POWER PLANTS PRIVATE SECTOR PRODUCERS PRODUCTION PROCESS PRODUCTION PROCESSES PRODUCTIVITY PUBLIC SECTOR REGULATORY FRAMEWORK RETURNS TO SCALE SCHOOLS SPATIAL PROCESSES TEXTILE INDUSTRY URBANIZATION WORKERS INDUSTRIAL CONCENTRATION INDUSTRY INDUSTRIAL SECTOR ECONOMY FOOD BEVERAGES TEXTILES LEATHER PRINTING PUBLISHING CHEMICALS METALS MACHINERY ELECTRONICS BUYERS SUPPLIERS LAND USE INDUSTRIAL CONCENTRATION WORKERS Where do industries locate within a metropolitan area? Do different industrial sectors have different patterns of location/clustering? Can these patterns be understood with reference to industry characteristics? What is the geographical relationship between clusters of different types of industry? To what extent do localization economies influence the clustering process? These questions are investigated with geographically disaggregated industry location and size data from Mumbai, Kolkata, and Chennai. Chakravorty, Koo, and Lall analyze eight industrial sectors (food/beverages, textiles, leather, printing/publishing, chemicals, metals, machinery, and electrical/electronics) for evidence of global and local clustering, and distinguish between and test for co-clustering and co-location of industries. The results suggest an evolutionary model of industry location in mixed rather than specialized industrial districts. There is little evidence of localization economies from labor markets or buyer-supplier networks. The authors suggest that land use policy is the key variable influencing the intra-metropolitan spatial distribution of industry. 2014-05-05T18:58:24Z 2014-05-05T18:58:24Z 2003-06 http://documents.worldbank.org/curated/en/2003/06/2390974/metropolitan-industrial-clusters-patterns-processes http://hdl.handle.net/10986/18158 English en_US Policy Research Working Paper;No. 3073 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research South Asia India |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
ACCIDENTS BASIC METALS ECONOMIC ACTIVITY ECONOMIC FACTORS ECONOMIES OF SCALE ECONOMISTS EXTERNALITIES FAMILIES FINANCIAL INSTITUTIONS FOOD PROCESSING HEALTH CARE HIGH LEVELS HOSPITALS INDUSTRIAL SECTOR INNOVATION INTERNATIONAL BANKS IRON LABOR MARKETS LAND USE LARGE CITIES MANUFACTURING INDUSTRY MARKET ENTRY METALS METROPOLITAN AREAS MIGRANTS POLITICAL ECONOMY POWER PLANTS PRIVATE SECTOR PRODUCERS PRODUCTION PROCESS PRODUCTION PROCESSES PRODUCTIVITY PUBLIC SECTOR REGULATORY FRAMEWORK RETURNS TO SCALE SCHOOLS SPATIAL PROCESSES TEXTILE INDUSTRY URBANIZATION WORKERS INDUSTRIAL CONCENTRATION INDUSTRY INDUSTRIAL SECTOR ECONOMY FOOD BEVERAGES TEXTILES LEATHER PRINTING PUBLISHING CHEMICALS METALS MACHINERY ELECTRONICS BUYERS SUPPLIERS LAND USE INDUSTRIAL CONCENTRATION WORKERS |
| spellingShingle |
ACCIDENTS BASIC METALS ECONOMIC ACTIVITY ECONOMIC FACTORS ECONOMIES OF SCALE ECONOMISTS EXTERNALITIES FAMILIES FINANCIAL INSTITUTIONS FOOD PROCESSING HEALTH CARE HIGH LEVELS HOSPITALS INDUSTRIAL SECTOR INNOVATION INTERNATIONAL BANKS IRON LABOR MARKETS LAND USE LARGE CITIES MANUFACTURING INDUSTRY MARKET ENTRY METALS METROPOLITAN AREAS MIGRANTS POLITICAL ECONOMY POWER PLANTS PRIVATE SECTOR PRODUCERS PRODUCTION PROCESS PRODUCTION PROCESSES PRODUCTIVITY PUBLIC SECTOR REGULATORY FRAMEWORK RETURNS TO SCALE SCHOOLS SPATIAL PROCESSES TEXTILE INDUSTRY URBANIZATION WORKERS INDUSTRIAL CONCENTRATION INDUSTRY INDUSTRIAL SECTOR ECONOMY FOOD BEVERAGES TEXTILES LEATHER PRINTING PUBLISHING CHEMICALS METALS MACHINERY ELECTRONICS BUYERS SUPPLIERS LAND USE INDUSTRIAL CONCENTRATION WORKERS Chakravorty, Sanjoy Koo, Jun Lall, Somik V. Metropolitan Industrial Clusters : Patterns and Processes |
| geographic_facet |
South Asia India |
| relation |
Policy Research Working Paper;No. 3073 |
| description |
Where do industries locate within a
metropolitan area? Do different industrial sectors have
different patterns of location/clustering? Can these
patterns be understood with reference to industry
characteristics? What is the geographical relationship
between clusters of different types of industry? To what
extent do localization economies influence the clustering
process? These questions are investigated with
geographically disaggregated industry location and size data
from Mumbai, Kolkata, and Chennai. Chakravorty, Koo, and
Lall analyze eight industrial sectors (food/beverages,
textiles, leather, printing/publishing, chemicals, metals,
machinery, and electrical/electronics) for evidence of
global and local clustering, and distinguish between and
test for co-clustering and co-location of industries. The
results suggest an evolutionary model of industry location
in mixed rather than specialized industrial districts. There
is little evidence of localization economies from labor
markets or buyer-supplier networks. The authors suggest that
land use policy is the key variable influencing the
intra-metropolitan spatial distribution of industry. |
| format |
Publications & Research :: Policy Research Working Paper |
| author |
Chakravorty, Sanjoy Koo, Jun Lall, Somik V. |
| author_facet |
Chakravorty, Sanjoy Koo, Jun Lall, Somik V. |
| author_sort |
Chakravorty, Sanjoy |
| title |
Metropolitan Industrial Clusters : Patterns and Processes |
| title_short |
Metropolitan Industrial Clusters : Patterns and Processes |
| title_full |
Metropolitan Industrial Clusters : Patterns and Processes |
| title_fullStr |
Metropolitan Industrial Clusters : Patterns and Processes |
| title_full_unstemmed |
Metropolitan Industrial Clusters : Patterns and Processes |
| title_sort |
metropolitan industrial clusters : patterns and processes |
| publisher |
World Bank, Washington, DC |
| publishDate |
2014 |
| url |
http://documents.worldbank.org/curated/en/2003/06/2390974/metropolitan-industrial-clusters-patterns-processes http://hdl.handle.net/10986/18158 |
| _version_ |
1764439009730232320 |