The 2011 Report on Pneumatic Hand Grinders, Polishers, and Sanders Excluding Rotary Type: World Market Segmentation by City

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The 2011 Report on Pneumatic Hand Grinders, Polishers, and Sanders Excluding Rotary Type: World Market Segmentation by City Powered By Docstoc
					 The 2011 Report on Pneumatic Hand
     Grinders, Polishers, and Sanders
             Excluding Rotary Type:
 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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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                                                                   182
    4.14   N: from Nacala to Nzerekore                                                              192
    4.15   O: from Oaklahoma City to Oyem                                                           197
    4.16   Ö: from Örebro to Örebro                                                                 199
    4.17   P: from Pago Pago to Pyuthan                                                             200
    4.18   Q: from Qandahar to Quito                                                                207
    4.19   R: from Rabat to Rustavi                                                                 208
    4.20   S: from S. Luis Potosi to Szombathely                                                    211
    4.21   T: from Tabligbo to Tyre                                                                 223
    4.22   U: from Uberaba to Utulei                                                                230
    4.23   V: from Vacoas-Phoenix to Vukovar                                                        232
    4.24   W: from Wadi Medani to Wuhan                                                             235
    4.25   X: from Xalapa to Xi'an                                                                  236
    4.26   Y: from Yamagata to Yungkang                                                             237
    4.27   Z: from Zadar to Zvishavane                                                              238
5     CITY SEGMENTS RANKED BY COUNTRY                                                               239
    5.1    Afghanistan                                                                              239
    5.2    Albania                                                                                  239


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  5.3    Algeria                                                240
  5.4    American Samoa                                         240
  5.5    Andorra                                                240
  5.6    Angola                                                 241
  5.7    Antigua and Barbuda                                    241
  5.8    Argentina                                              242
  5.9    Armenia                                                243
  5.10   Aruba                                                  243
  5.11   Australia                                              244
  5.12   Austria                                                244
  5.13   Azerbaijan                                             245
  5.14   Bahrain                                                245
  5.15   Bangladesh                                             246
  5.16   Barbados                                               246
  5.17   Belarus                                                247
  5.18   Belgium                                                247
  5.19   Belize                                                 248
  5.20   Benin                                                  248
  5.21   Bermuda                                                248
  5.22   Bhutan                                                 249
  5.23   Bolivia                                                249
  5.24   Bosnia and Herzegovina                                 249
  5.25   Botswana                                               250
  5.26   Brazil                                                 251
  5.27   Brunei                                                 256
  5.28   Bulgaria                                               256
  5.29   Burkina Faso                                           257
  5.30   Burma                                                  257
  5.31   Burundi                                                257
  5.32   Cambodia                                               258
  5.33   Cameroon                                               258
  5.34   Canada                                                 259
  5.35   Cape Verde                                             259
  5.36   Central African Republic                               260
  5.37   Chad                                                   260
  5.38   Chile                                                  261
  5.39   China                                                  261
  5.40   Christmas Island                                       262
  5.41   Colombia                                               262
  5.42   Comoros                                                262
  5.43   Congo (formerly Zaire)                                 263
  5.44   Cook Islands                                           263
  5.45   Costa Rica                                             263
  5.46   Cote d'Ivoire                                          264
  5.47   Croatia                                                264
  5.48   Cuba                                                   265
  5.49   Cyprus                                                 265
  5.50   Czech Republic                                         266
  5.51   Denmark                                                266
  5.52   Djibouti                                               267
  5.53   Dominica                                               267
  5.54   Dominican Republic                                     267
  5.55   Ecuador                                                268


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  5.56    Egypt                                           268
  5.57    El Salvador                                     269
  5.58    Equatorial Guinea                               269
  5.59    Estonia                                         269
  5.60    Ethiopia                                        270
  5.61    Fiji                                            270
  5.62    Finland                                         271
  5.63    France                                          271
  5.64    French Guiana                                   272
  5.65    French Polynesia                                272
  5.66    Gabon                                           272
  5.67    Georgia                                         273
  5.68    Germany                                         273
  5.69    Ghana                                           274
  5.70    Greece                                          274
  5.71    Greenland                                       275
  5.72    Grenada                                         275
  5.73    Guadeloupe                                      276
  5.74    Guam                                            276
  5.75    Guatemala                                       276
  5.76    Guinea                                          277
  5.77    Guinea-Bissau                                   277
  5.78    Guyana                                          277
  5.79    Haiti                                           278
  5.80    Honduras                                        278
  5.81    Hong Kong                                       278
  5.82    Hungary                                         279
  5.83    Iceland                                         279
  5.84    India                                           280
  5.85    Indonesia                                       281
  5.86    Iran                                            282
  5.87    Iraq                                            282
  5.88    Ireland                                         283
  5.89    Israel                                          283
  5.90    Italy                                           284
  5.91    Jamaica                                         284
  5.92    Japan                                           285
  5.93    Jordan                                          288
  5.94    Kazakhstan                                      288
  5.95    Kenya                                           289
  5.96    Kiribati                                        289
  5.97    Kuwait                                          289
  5.98    Kyrgyzstan                                      290
  5.99    Laos                                            290
  5.100   Latvia                                          290
  5.101   Lebanon                                         291
  5.102   Lesotho                                         291
  5.103   Liberia                                         291
  5.104   Libya                                           292
  5.105   Liechtenstein                                   292
  5.106   Lithuania                                       292
  5.107   Luxembourg                                      293
  5.108   Macau                                           293


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  5.109   Madagascar                                          293
  5.110   Malawi                                              294
  5.111   Malaysia                                            294
  5.112   Maldives                                            295
  5.113   Mali                                                295
  5.114   Malta                                               295
  5.115   Marshall Islands                                    296
  5.116   Martinique                                          296
  5.117   Mauritania                                          296
  5.118   Mauritius                                           297
  5.119   Mexico                                              298
  5.120   Micronesia Federation                               299
  5.121   Moldova                                             299
  5.122   Monaco                                              299
  5.123   Mongolia                                            300
  5.124   Morocco                                             300
  5.125   Mozambique                                          301
  5.126   Namibia                                             301
  5.127   Nauru                                               301
  5.128   Nepal                                               302
  5.129   New Caledonia                                       302
  5.130   New Zealand                                         303
  5.131   Nicaragua                                           303
  5.132   Niger                                               304
  5.133   Nigeria                                             304
  5.134   Niue                                                305
  5.135   Norfolk Island                                      305
  5.13
				
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 "pneumatic hand grinders, polishers, and sanders excluding rotary type" 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 launch
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