The 2011 Report on Secondary Silver, Silver Alloys, Platinum, and Platinum Alloys Refining: World Market Segmentation by City

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The 2011 Report on Secondary Silver, Silver Alloys, Platinum, and Platinum Alloys Refining: World Market Segmentation by City Powered By Docstoc
					       The 2011 Report on Secondary
   Silver, Silver Alloys, Platinum, and
             Platinum Alloys Refining:
  World Market Segmentation by City




                                         by
                              Philip M. Parker, Ph.D.
                      Chaired Professor of Management Science
                    INSEAD (Singapore and Fontainebleau, France)




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                                        About the Author
Dr. Philip M. Parker is the Eli Lilly Chaired Professor of Innovation, Business and Society at INSEAD where he has
taught courses on global competitive strategy since 1988. He has also taught courses at MIT, Stanford University,
Harvard University, UCLA, UCSD, and the Hong Kong University of Science and Technology. Professor Parker is
the author of six books on the economic convergence of nations. These books introduce the notion of
“physioeconomics” which foresees a lack of global convergence in economic behaviors due to physiological and
physiographic forces. His latest book is "Physioeconomics: The Basis for Long-Run Economic Growth" (MIT Press
2000). He has also published numerous articles in academic journals, including, the Rand Journal of Economics,
Marketing Science, the Journal of International Business Studies, Technological Forecasting and Social Change, the
International Journal of Forecasting, the European Management Journal, the European Journal of Operational
Research, the Journal of Marketing, the International Journal of Research in Marketing, and the Journal of
Marketing Research. He is also on the editorial boards of several academic journals.

Dr. Parker received his Ph.D. in Business Economics from the Wharton School of the University of Pennsylvania
and has Masters degrees in Finance and Banking (University of Aix-Marseille) and Managerial Economics
(Wharton). His undergraduate degrees are in mathematics, biology and economics (minor in aeronautical
engineering). He has consulted and/or taught courses in Africa, the Middle East, Asia, Latin America, North America
and Europe.


                                         About this Series
This series was created for international firms who rely on foreign markets for a substantial portion of their business
or who might be threatened by international competition. The estimates given in this report were created using a
methodology developed by and implemented under the direct supervision of Professor Philip M. Parker, the Eli Lilly
Chaired Professor of Innovation, Business and Society, at INSEAD. The methodology relies on historical figures
across countries. Reported figures should be seen as estimates of past and future levels of latent demand.


                                      Acknowledgements
Some of the methodologies and research approaches used in this report have benefited from the R&D Committee at
INSEAD, whose research support is gratefully acknowledged.




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Note: as statements and statistics in this report are forward-looking, the reader needs to read the
last chapter for disclaimers and user agreement provisions.




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                                                                                         Contents         v


Table of Contents
1     INTRODUCTION & METHODOLOGY                                                                     11
    1.1     Overview and Definitions                                                                 11
    1.2     Market Potential Estimation Methodology                                                  11
       1.2.1    Overview                                                                             11
       1.2.2    What is Latent Demand and the P.I.E.?                                                12
       1.2.3    The Methodology                                                                      12
          1.2.3.1    Step 1. Product Definition and Data Collection                                  14
          1.2.3.2    Step 2. Filtering and Smoothing                                                 15
          1.2.3.3    Step 3. Filling in Missing Values                                               15
          1.2.3.4    Step 4. Varying Parameter, Non-linear Estimation                                15
          1.2.3.5    Step 5. Fixed-Parameter Linear Estimation                                       16
          1.2.3.6    Step 6. Aggregation and Benchmarking                                            16
2     USING THE DATA                                                                                 17
3     CITY SEGMENTS RANKED BY MARKET SIZE                                                            18
    3.1    Top 15 Markets                                                                            18
    3.2    Markets 16 to 30                                                                          19
    3.3    Remaining Cities by Market Rank                                                           20
4     CITY SEGMENTS IN ALPHABETICAL ORDER                                                           123
    4.1    A: from Aalborg to Az Zawiyah                                                            123
    4.2    B: from Bacolod to Bydgoszcz                                                             130
    4.3    C: from Caaguazu to Cyangugu                                                             138
    4.4    D: from Da Nang to Dzhizak                                                               146
    4.5    E: from East London to Esteli                                                            150
    4.6    F: from Fagatogo to Funchal                                                              152
    4.7    G: from Gabes to Gyumri                                                                  155
    4.8    H: from Hachinohe to Hyderabad                                                           159
    4.9    I: from Iasi to Izmir                                                                    163
    4.10   J: from Jaboatao to Jyvaskyla                                                            166
    4.11   K: from Kabul to Kzyl-Orda                                                               168
    4.12   L: from La Ceiba to Lyon                                                                 176
    4.13   M: from Macae to Mzuzu                                                                   181
    4.14   N: from Nacala to Nzerekore                                                              191
    4.15   O: from Oaklahoma City to Oyem                                                           196
    4.16   Ö: from Örebro to Örebro                                                                 198
    4.17   P: from Pago Pago to Pyuthan                                                             199
    4.18   Q: from Qandahar to Quito                                                                205
    4.19   R: from Rabat to Rustavi                                                                 206
    4.20   S: from S. Luis Potosi to Szombathely                                                    209
    4.21   T: from Tabligbo to Tyre                                                                 221
    4.22   U: from Uberaba to Utulei                                                                228
    4.23   V: from Vacoas-Phoenix to Vukovar                                                        230
    4.24   W: from Wadi Medani to Wuhan                                                             233
    4.25   X: from Xalapa to Xi'an                                                                  234
    4.26   Y: from Yamagata to Yungkang                                                             235
    4.27   Z: from Zadar to Zvishavane                                                              236
5     CITY SEGMENTS RANKED BY COUNTRY                                                               237
    5.1    Afghanistan                                                                              237
    5.2    Albania                                                                                  237


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  5.3    Algeria                                                238
  5.4    American Samoa                                         238
  5.5    Andorra                                                238
  5.6    Angola                                                 239
  5.7    Antigua and Barbuda                                    239
  5.8    Argentina                                              240
  5.9    Armenia                                                241
  5.10   Aruba                                                  241
  5.11   Australia                                              242
  5.12   Austria                                                242
  5.13   Azerbaijan                                             243
  5.14   Bahrain                                                243
  5.15   Bangladesh                                             244
  5.16   Barbados                                               244
  5.17   Belarus                                                245
  5.18   Belgium                                                245
  5.19   Belize                                                 246
  5.20   Benin                                                  246
  5.21   Bermuda                                                246
  5.22   Bhutan                                                 247
  5.23   Bolivia                                                247
  5.24   Bosnia and Herzegovina                                 247
  5.25   Botswana                                               248
  5.26   Brazil                                                 249
  5.27   Brunei                                                 254
  5.28   Bulgaria                                               254
  5.29   Burkina Faso                                           255
  5.30   Burma                                                  255
  5.31   Burundi                                                255
  5.32   Cambodia                                               256
  5.33   Cameroon                                               256
  5.34   Canada                                                 257
  5.35   Cape Verde                                             257
  5.36   Central African Republic                               258
  5.37   Chad                                                   258
  5.38   Chile                                                  259
  5.39   China                                                  259
  5.40   Christmas Island                                       260
  5.41   Colombia                                               260
  5.42   Comoros                                                260
  5.43   Congo (formerly Zaire)                                 261
  5.44   Cook Islands                                           261
  5.45   Costa Rica                                             261
  5.46   Cote d'Ivoire                                          262
  5.47   Croatia                                                262
  5.48   Cuba                                                   263
  5.49   Cyprus                                                 263
  5.50   Czech Republic                                         264
  5.51   Denmark                                                264
  5.52   Djibouti                                               265
  5.53   Dominica                                               265
  5.54   Dominican Republic                                     265
  5.55   Ecuador                                                266


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  5.56    Egypt                                           266
  5.57    El Salvador                                     267
  5.58    Equatorial Guinea                               267
  5.59    Estonia                                         267
  5.60    Ethiopia                                        268
  5.61    Fiji                                            268
  5.62    Finland                                         269
  5.63    France                                          269
  5.64    French Guiana                                   270
  5.65    French Polynesia                                270
  5.66    Gabon                                           270
  5.67    Georgia                                         271
  5.68    Germany                                         271
  5.69    Ghana                                           272
  5.70    Greece                                          272
  5.71    Greenland                                       273
  5.72    Grenada                                         273
  5.73    Guadeloupe                                      274
  5.74    Guam                                            274
  5.75    Guatemala                                       274
  5.76    Guinea                                          275
  5.77    Guinea-Bissau                                   275
  5.78    Guyana                                          275
  5.79    Haiti                                           276
  5.80    Honduras                                        276
  5.81    Hong Kong                                       276
  5.82    Hungary                                         277
  5.83    Iceland                                         277
  5.84    India                                           278
  5.85    Indonesia                                       279
  5.86    Iran                                            280
  5.87    Iraq                                            280
  5.88    Ireland                                         281
  5.89    Israel                                          281
  5.90    Italy                                           282
  5.91    Jamaica                                         282
  5.92    Japan                                           283
  5.93    Jordan                                          286
  5.94    Kazakhstan                                      286
  5.95    Kenya                                           287
  5.96    Kiribati                                        287
  5.97    Kuwait                                          287
  5.98    Kyrgyzstan                                      288
  5.99    Laos                                            288
  5.100   Latvia                                          288
  5.101   Lebanon                                         289
  5.102   Lesotho                                         289
  5.103   Liberia                                         289
  5.104   Libya                                           290
  5.105   Liechtenstein                                   290
  5.106   Lithuania                                       290
  5.107   Luxembourg                                      291
  5.108   Macau                                           291


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  5.109   Madagascar                                          291
  5.110   Malawi                                              292
  5.111   Malaysia                                            292
  5.112   Maldives                                            293
  5.113   Mali                                                293
  5.114   Malta                                               293
  5.115   Marshall Islands                                    294
  5.116   Martinique                                          294
  5.117   Mauritania                                          294
  5.118   Mauritius                                           295
  5.119   Mexico                                              296
  5.120   Micronesia Federation                               297
  5.121   Moldova                                             297
  5.122   Monaco                                              297
  5.123   Mongolia                                            298
  5.124   Morocco                                             298
  5.125   Mozambique                                          299
  5.126   Namibia                                             299
  5.127   Nauru                                               299
  5.128   Nepal                                               300
  5.129   New Caledonia                                       300
  5.130   New Zealand                                         301
  5.131   Nicaragua                                           301
  5.132   Niger                                               302
  5.133   Nigeria                                             302
  5.134   Niue                                                303
  5.135   Norfolk Island                                      303
  5.136   North Korea                                         303
  5.137   Norway                                              304
  5.138   Oman                                                304
  5.139   Pakistan                                            305
  5.140   Palau                                               305
  5.
				
DOCUMENT INFO
Description: This report was created for global strategic planners who cannot be content with traditional methods of segmenting world markets. With the advent of a “borderless world”, cities become a more important criteria in prioritizing markets, as opposed to regions, continents, or countries. This report covers the top 2000 cities in over 200 countries. It does so by reporting the estimated market size (in terms of latent demand) for each major city of the world. It then ranks these cities and reports them in terms of their size as a percent of the country where they are located, their geographic region (e.g. Africa, Asia, Europe, Middle East, North America, Latin America), and the total world market. In performing various economic analyses for its clients, I have been occasionally asked to investigate the market potential for various products and services across cities. The purpose of the studies is to understand the density of demand within a country and the extent to which a city might be used as a point of distribution within its region. From an economic perspective, however, a city does not represent a population within rigid geographical boundaries. To an economist or strategic planner, a city represents an area of dominant influence over markets in adjacent areas. This influence varies from one industry to another, but also from one period of time to another. In what follows, I summarize the economic potential for the world's major cities for "secondary silver, silver alloys, platinum, and platinum alloys refining" for the year 2011. The goal of this report is to report my findings on the real economic potential, or what an economist calls the latent demand, represented by a city when defined as an area of dominant influence. The reader needs to realize that latent demand may or may not represent real sales. For many items, latent demand is clearly observable in sales, as in the case for food or housing items. Consider, however, the category "satellite launc
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