1. Market Research
  2. > Materials
  3. > Textile Market Trends
The 2019-2024 World Outlook for Broadwoven Fabric Finishing Mills

The 2019-2024 World Outlook for Broadwoven Fabric Finishing Mills

  • January 2018
  • 273 pages
  • ID: 2886416

Summary

Table of Contents

This study covers the world outlook for broadwoven fabric finishing mills across more than 190 countries. For each year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the country in question (in millions of U.S. dollars), the percent share the country is of the region, and of the globe.

These comparative benchmarks allow the reader to quickly gauge a country vis-à-vis others. Using econometric models which project fundamental economic dynamics within each country and across countries, latent demand estimates are created.

This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales.

The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved. This study does not report actual sales data (which are simply unavailable, in a comparable or consistent manner in virtually all of the countries of the world).

This study gives, however, my estimates for the worldwide latent demand, or the P.I.E., for broadwoven fabric finishing mills. It also shows how the P.I.E. is divided across the world’s regional and national markets. For each country, I also show my estimates of how the P.I.E. grows over time (positive or negative growth). In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on international strategic planning at graduate schools of business.

1.3 THE METHODOLOGY
In order to estimate the latent demand for broadwoven fabric finishing mills on a worldwide basis, I used a multi-stage approach. Before applying the approach, one needs a basic theory from which such estimates are created.

In this case, I heavily rely on the use of certain basic economic assumptions. In particular, there is an assumption governing the shape and type of aggregate latent demand functions.

Latent demand functions relate the income of a country, city, state, household, or individual to realized consumption. Latent demand (often realized as consumption when an industry is efficient), at any level of the value chain, takes place if an equilibrium is realized.

For firms to serve a market, they must perceive a latent demand and be able to serve that demand at a minimal return. The single most important variable determining consumption, assuming latent demand exists, is income (or other financial resources at higher levels of the value chain). Other factors that can pivot or shape demand curves include external or exogenous shocks (i.e., business cycles), and or changes in utility for the product in question.

Ignoring, for the moment, exogenous shocks and variations in utility across countries, the aggregate relation between income and consumption has been a central theme in economics. The figure below concisely summarizes one aspect of problem.

In the 1930s, John Meynard Keynes conjectured that as incomes rise, the average propensity to consume would fall. The average propensity to consume is the level of consumption divided by the level of income, or the slope of the line from the origin to the consumption function.

He estimated this relationship empirically and found it to be true in the short-run (mostly based on cross-sectional data). The higher the income, the lower the average propensity to consume.

This type of consumption function is shown as "B" in the figure below (note the rather flat slope of the curve). In the 1940s, another macroeconomist, Simon Kuznets, estimated long-run consumption functions which indicated that the marginal propensity to consume was rather constant (using time series data across countries). This type of consumption function is show as "B" in the figure below (note the higher slope and zero-zero intercept).

The average propensity to consume is constant. For a general overview of this subject area, see Principles of Macroeconomics by N. Gregory Mankiw, South-Western College Publishing; ISBN: 0030340594; 2nd edition (February 2002).

Is it declining or is it constant? A number of other economists, notably Franco Modigliani and Milton Friedman, in the 1950s (and Irving Fisher earlier), explained why the two functions were different using various assumptions on intertemporal budget constraints, savings, and wealth. The shorter the time horizon, the more consumption can depend on wealth (earned in previous years) and business cycles.

In the long-run, however, the propensity to consume is more constant. Similarly, in the long-run, households, industries, or countries with no income eventually have no consumption (wealth is depleted).

While the debate surrounding beliefs about how income and consumption are related and interesting, in this study a very particular school of thought is adopted. In particular, we are considering the latent demand for broadwoven fabric finishing mills across some 190 countries.

The smallest have fewer than 10,000 inhabitants. I assume that all of these counties fall along a "long-run" aggregate consumption function.

This long-run function applies despite some of these countries having wealth; current income dominates the latent demand for broadwoven fabric finishing mills. So, latent demand in the long-run has a zero intercept. However, I allow firms to have different propensities to consume (including being on consumption functions with differing slopes, which can account for differences in industrial organization, and end-user preferences).

Given this overriding philosophy, I will now describe the methodology used to create the latent demand estimates for broadwoven fabric finishing mills. Since ICON Group has asked me to apply this methodology to a large number of categories, the rather academic discussion below is general and can be applied to a wide variety of categories, not just broadwoven fabric finishing mills.

1.3.1 STEP 1. PRODUCT DEFINITION AND DATA COLLECTION
Any study of latent demand across countries requires that some standard be established to define "efficiently served". Having implemented various alternatives and matched these with market outcomes, I have found that the optimal approach is to assume that certain key countries are more likely to be at or near efficiency than others.

These countries are given greater weight than others in the estimation of latent demand compared to other countries for which no known data are available. Of the many alternatives, I have found the assumption that the world’s highest aggregate income and highest income-per-capita markets reflect the best standards for "efficiency".

High aggregate income alone is not sufficient (i.e., China has high aggregate income, but low income per capita and cannot be assumed to be efficient). Aggregate income can be operationalized in a number of ways, including gross domestic product (for industrial categories), or total disposable income (for household categories; population times average income per capita, or number of households times average household income per capita).

Brunei, Nauru, Kuwait, and Lichtenstein are examples of countries with high income per capita, but not assumed to be efficient, given low aggregate level of income (or gross domestic product); these countries have, however, high incomes per capita but may not benefit from the efficiencies derived from economies of scale associated with large economies. Only countries with high income per capita and large aggregate income are assumed efficient. This greatly restricts the pool of countries to those in the OECD (Organization for Economic Cooperation and Development), like the United States, or the United Kingdom (which were earlier than other large OECD economies to liberalize their markets).

The selection of countries is further reduced by the fact that not all countries in the OECD report have industry revenues at the category level. Countries that typically have ample data at the aggregate level that meet the efficiency criteria include the United States, the United Kingdom, and in some cases France and Germany.

Is it declining or is it constant? A number of other economists, notably Franco Modigliani and Milton Friedman, in the 1950s (and Irving Fisher earlier), explained why the two functions were different using various assumptions on intertemporal budget constraints, savings, and wealth. The shorter the time horizon, the more consumption can depend on wealth (earned in previous years) and business cycles.

In the long-run, however, the propensity to consume is more constant. Similarly, in the long-run, households, industries, or countries with no income eventually have no consumption (wealth is depleted).

While the debate surrounding beliefs about how income and consumption are related and interesting, in this study a very particular school of thought is adopted. In particular, we are considering the latent demand for broadwoven fabric finishing mills across some 190 countries.

The smallest have fewer than 10,000 inhabitants. I assume that all of these counties fall along a "long-run" aggregate consumption function.

This long-run function applies despite some of these countries having wealth; current income dominates the latent demand for broadwoven fabric finishing mills. So, latent demand in the long-run has a zero intercept. However, I allow firms to have different propensities to consume (including being on consumption functions with differing slopes, which can account for differences in industrial organization, and end-user preferences).

Given this overriding philosophy, I will now describe the methodology used to create the latent demand estimates for broadwoven fabric finishing mills. Since ICON Group has asked me to apply this methodology to a large number of categories, the rather academic discussion below is general and can be applied to a wide variety of categories, not just broadwoven fabric finishing mills.

1.3.1 STEP 1. PRODUCT DEFINITION AND DATA COLLECTION
Any study of latent demand across countries requires that some standard be established to define "efficiently served". Having implemented various alternatives and matched these with market outcomes, I have found that the optimal approach is to assume that certain key countries are more likely to be at or near efficiency than others.

These countries are given greater weight than others in the estimation of latent demand compared to other countries for which no known data are available. Of the many alternatives, I have found the assumption that the world’s highest aggregate income and highest income-per-capita markets reflect the best standards for "efficiency".

High aggregate income alone is not sufficient (i.e., China has high aggregate income, but low income per capita and cannot be assumed to be efficient). Aggregate income can be operationalized in a number of ways, including gross domestic product (for industrial categories), or total disposable income (for household categories; population times average income per capita, or number of households times average household income per capita).

Brunei, Nauru, Kuwait, and Lichtenstein are examples of countries with high income per capita, but not assumed to be efficient, given low aggregate level of income (or gross domestic product); these countries have, however, high incomes per capita but may not benefit from the efficiencies derived from economies of scale associated with large economies. Only countries with high income per capita and large aggregate income are assumed efficient. This greatly restricts the pool of countries to those in the OECD (Organization for Economic Cooperation and Development), like the United States, or the United Kingdom (which were earlier than other large OECD economies to liberalize their markets).

The selection of countries is further reduced by the fact that not all countries in the OECD report have industry revenues at the category level. Countries that typically have ample data at the aggregate level that meet the efficiency criteria include the United States, the United Kingdom, and in some cases France and Germany.

Latent demand is therefore estimated using data collected for relatively efficient markets from independent data sources (e.g. Euromonitor, Mintel, Thomson Financial Services, the U.S. Industrial Outlook, the World Resources Institute, the Organization for Economic Cooperation and Development, various agencies from the United Nations, industry trade associations, the International Monetary Fund, and the World Bank).

Depending on original data sources used, the definition of broadwoven fabric finishing mills is established. In the case of this report, the data were reported at the aggregate level, with no further breakdown or definition.

In other words, any potential products and/or services that might be incorporated within broadwoven fabric finishing mills fall under this category. Public sources rarely report data at the disaggregated level in order to protect private information from individual firms that might dominate a specific product-market.

These sources will therefore aggregate across components of a category and report only the aggregate to the public. While private data are certainly available, this report only relies on public data at the aggregate level without reliance on the summation of various category components.

In other words, this report does not aggregate a number of components to arrive at the "whole". Rather, it starts with the "whole", and estimates the whole for all countries and the world at large (without needing to know the specific parts that went into the whole in the first place).

Given this caveat, this study covers broadwoven fabric finishing mills as defined by the North American Industrial Classification system or NAICS (pronounced "nakes").

The NAICS code for broadwoven fabric finishing mills is 313311. It is for this definition that aggregate latent demand estimates are derived.

Broadwoven fabric finishing mills is specifically defined as follows:
313311 This U.S. industry comprises (1) establishments primarily engaged in finishing broadwoven fabrics, and (2) establishments of converters who buy broadwoven fabrics in the grey, have them finished on contract, and sell at wholesale. Finishing operations include bleaching, dyeing, printing (roller, screen, flock, plisse), and other mechanical finishing, such as preshrinking, shrinking, sponging, calendering, mercerizing and napping.
3133111 Finished cotton broadwoven fabrics (not finished in weaving mills)
31331111 Finished cotton broadwoven fabrics, finished in finishing mills
3133111111 Finished cotton broadwoven print cloth (not finished in weaving mills)
3133111121 Finished cotton broadwoven poplin and broadcloth (not finished in weaving mills)
3133111131 Finished cotton broadwoven sheeting, plain weave, including bedsheeting and osnaburgs (not finished in weaving mills)
3133111141 Finished cotton broadwoven tobacco, cheese, and bandage cloth (not finished in weaving mills)
3133111151 Finished cotton broadwoven fabrics, other plain weave fabrics (except pile), including lawns, voiles, batistes, and duck (not finished in weaving mills)
3133111161 Finished cotton broadwoven twill weave fabrics, excluding pile, finished in finishing mills
3133111171 Finished cotton broadwoven fabrics, excluding plain, twill, and pile weaves (including sateens, oxfords, table damask, jacquard, and dobby shirting), finished in finishing mills
3133111181 Finished cotton broadwoven pile fabrics (including velvets, plushes, corduroy, terry toweling, and terry cloth), finished in finishing mills
3133111191 Finished cotton plain weave broadwoven fabric, excluding pile, finished in finishing mills
3133113 Job or commission finishing of cotton broadwoven fabrics
31331131 Job or commission finishing of cotton broadwoven print cloth
3133113111 Job or commission finishing of cotton broadwoven print cloth
31331132 Job or commission finishing of cotton broadwoven plain weave fabrics (excluding print cloth)
3133113221 Job or commission finishing of cotton broadwoven poplin and broadcloth fabrics
3133113231 Job or commission finishing of cotton broadwoven sheeting fabrics, plain weave, including bedsheeting and osnaburgs
3133113241 Job or commission finishing of cotton broadwoven tobacco, cheese, and bandage cloth
3133113251 Job or commission finishing of cotton broadwoven duck fabrics
3133113261 Job or commission finishing of cotton broadwoven plain weave fabrics, other (except pile) including lawns, voiles, and batistes
3133113271 Job or commission finishing of cotton broadwoven plain weave fabrics, other (excluding pile) including lawns, voiles, and batistes
31331133 Job or commission finishing of cotton broadwoven twill weave fabrics (excluding pile)
3133113371 Job or commission finishing of cotton broadwoven twill weave fabrics (excluding pile)
31331134 Job or commission finishing of cotton broadwoven fabrics (excluding plain weave and twill weave)
3133113481 Job or commission finishing of cotton broadwoven sateen fabrics
3133113491 Job or commission finishing of cotton broadwoven fabrics (except plain weave, twill weave, sateens, and pile), including oxfords, table damask, jacquard and dobby shirting, and birdseye diaper cloth
3133113492 Job or commission finishing of cotton broadwoven fabrics, other weaves, excluding pile, including sateens, oxfords, table damask, jacquard and dobby shirting, and birdseye diaper cloth
31331134B1 Job or commission finishing of cotton broadwoven pile fabrics (velvets, plushes, corduroy, terry toweling, terry cloth, and others)
3133115 Finished manmade fiber & silk broadwoven fabrics (not finished in weaving mills)
31331151 Finished manmade fiber and silk broadwoven print cloth, made of 85 percent or more spun yarn, finished in finishing mills
3133115111 Finished manmade fiber and silk broadwoven print cloth, made of 85 percent or more spun yarn, finished in finishing mills
31331152 Finished manmade fiber and silk broadwoven fabrics, plain weave (excluding print cloth), made of 85 percent or more spun yarn, finished in finishing mills
3133115221 Finished manmade fiber broadwoven poplin and broadcloth, of 85 percent or more spun yarns (not finished in weaving mills)
3133115231 Finished manmade fiber broadwoven sheeting, plain weave, including bedsheeting and osnaburgs, of 85 percent or more spun yarns (not finished in weaving mills)
3133115241 Finished manmade fiber broadwoven fabrics, other plain weave fabrics (except pile), including lawns, voiles, and batistes, of 85 percent or more spun yarns (not finished in weaving mills)
3133115251 Finished manmade fiber and silk broadwoven fabrics, plain weave (excluding print cloth), made of 85 percent or more spun yarn, finished in finishing mills
31331153 Finished manmade fiber and silk broadwoven fabrics, twill weave (excluding pile), made of 85 percent or more spun yarn, finished in finishing mills
3133115351 Finished manmade fiber and silk broadwoven fabrics, twill weave (excluding pile), made of 85 percent or more spun yarn, finished in finishing mills
31331154 Finished manmade fiber broadwoven sateen fabrics (not finished in weaving mills), of 85 percent or more spun yarns
3133115461 Finished manmade fiber broadwoven sateen fabrics, of 85 percent or more spun yarns (not finished in weaving mills)
31331155 Finished manmade fiber broadwoven fabrics (not finished in weaving mills), of 85 percent or more spun yarns, weaves other than plain, twill, sateens, and pile
3133115571 Finished manmade fiber broadwoven fabrics, weaves other than plain, twill, sateens, and pile, of 85 percent or more spun yarns (not finished in weaving mills)
31331156 Finished manmade fiber and silk broadwoven pile fabrics (including velvets, plushes, and corduroys), made of 85 percent or more spun yarn, finished in finishing mills
3133115681 Finished manmade fiber and silk broadwoven pile fabrics (including velvets, plushes, and corduroys), made of 85 percent or more spun yarn, finished in finishing mills
31331157 Finished polyester broadwoven fabrics, made of 85 percent or more filament yarn, finished in finishing mills
3133115791 Finished polyester broadwoven fabrics, made of 85 percent or more filament yarn, finished in finishing mills
31331158 Other finished manmade fiber and silk broadwoven fabrics, finished in finishing mills
31331158A1 Other finished manmade fiber and silk broadwoven fabrics, made of 85 percent or more filament yarn, finished in finishing mills
31331158B1 Finished rayon, acetate, and/or lyocell broadwoven fabrics, of 85 percent or more filament yarns (not finished in weaving mills)
31331158D1 Finished broadwoven fabrics of manmade fibers other than rayon, acetate, lyocell and polyester, of 85 percent or more filament yarns (not finished in weaving mills)
31331158F1 Other finished manmade fiber and silk broadwoven fabrics (including combinations of spun and filament yarns, blends with wool, silk, and blends with silk), finished in finishing mills
31331159 Finished manmade fiber and silk broadwoven fabrics, other weaves, made of 85 percent or more spun yarn, finished in finishing mills
3133115911 Finished manmade fiber and silk broadwoven fabrics, other weaves, made of 85 percent or more spun yarn, finished in finishing mills
3133117 Job or commission finishing of manmade fiber and silk broadwoven fabrics
31331171 Job or commission finishing of manmade fiber broadwoven print cloth of 85 percent or more spun yarns
3133117111 Job or commission finishing of manmade fiber broadwoven print cloth of 85 percent or more spun yarns
31331172 Job or commission finishing of manmade fiber broadwoven fabrics of 85 percent or more spun yarns (excluding print cloth)
3133117221 Job or commission finishing of manmade fiber broadwoven poplin and broadcloth, excluding pile, of 85 percent or more spun yarns
3133117231 Job or commission finishing of manmade fiber broadwoven plain weave sheeting, excluding pile, including bedsheeting and osnaburgs, of 85 percent or more spun yarns
3133117241 Job or commission finishing of manmade fiber broadwoven fabrics of 85 percent or more spun yarns, plain weave, excluding pile (excluding print cloth, poplin, broadcloth, and sheeting)
3133117251 Job or commission finishing of manmade fiber broadwoven fabrics, twill weave, excluding pile, of 85 percent or more spun yarns
3133117261 Job or commission finishing of manmade fiber broadwoven fabrics, of 85 percent or more spun yarn, excluding plain weave, twill weave, and pile fabrics
3133117271 Job or commission finishing of manmade fiber broadwoven pile fabrics of 85 percent or more spun yarns
31331173 Job or commission finishing of broadwoven fabrics, chiefly polyester of 85 percent or more filament yarns
3133117381 Job or commission finishing of broadwoven fabrics, chiefly polyester of 85 percent or more filament yarns
31331174 Job or commission finishing of broadwoven fabrics, chiefly rayon, acetate, and/ or lyocell, of 85 percent or more filament yarns
3133117491 Job or commission finishing of broadwoven fabrics, chiefly rayon, acetate, and/or lyocell, of 85 percent or more filament yarns
31331175 Job or commission finishing of manmade fiber broadwoven fabrics, of 85 percent or more filament yarns, excluding rayon, acetate, lyocell, and polyester, and combinations of spun-filament yarns
31331175B1 Job or commission finishing of manmade fiber broadwoven fabrics, of 85 percent or more filament yarns, excluding rayon, acetate, lyocell, and polyester
31331175D1 Job or commission finishing of manmade fiber and silk broadwoven fabrics, other fabrics, including combinations of spun and filament yarns, blends with wool, silk, and blends with silk
3133119 Finished broadwoven wool fabrics and felts (not finished in weaving mills)
31331191 Finished broadwoven wool fabrics and felts (not finished in weaving mill)
3133119100 Finished broadwoven wool fabrics and felts (not finished in weaving mill)
313311M Miscellaneous receipts
313311P Primary products
313311S Secondary products
313311SM Secondary products and miscellaneous receipts

This report was prepared from a variety of sources including excerpts from documents and official reports or databases published by the World Bank, the U.S. Department of Commerce, the U.S. State Department, various national agencies, the International Monetary Fund, the Central Intelligence Agency, various agencies from the United Nations (e.g. ILO, ITU, UNDP, etc.), and non-governmental sources, including ICON Group Ltd., Euromonitor, the World Resources Institute, Mintel, the U.S. Industrial Outlook, and various public sources cited in the trade press.

1.3.2 STEP 2. FILTERING AND SMOOTHING
Based on the aggregate view of broadwoven fabric finishing mills as defined above, data were then collected for as many similar countries as possible for that same definition, at the same level of the value chain. This generates a convenience sample of countries from which comparable figures are available.

If the series in question do not reflect the same accounting period, then adjustments are made. In order to eliminate short-term effects of business cycles, the series are smoothed using a 2-year moving average weighting scheme (longer weighting schemes do not substantially change the results).

If data are available for a country, but these reflect short-run aberrations due to exogenous shocks (such as would be the case of beef sales in a country stricken with foot and mouth disease), these observations were dropped or "filtered" from the analysis.

1.3.3 STEP 3. FILLING IN MISSING VALUES
In some cases, data are available for countries on a sporadic basis. In other cases, data from a country may be available for only one year.

From a Bayesian perspective, these observations should be given the greatest weight in estimating missing years. Assuming that other factors are held constant, the missing years are extrapolated using changes and growth in aggregate national income.

Based on the overriding philosophy of a long-run consumption function (defined earlier), countries which have missing data for any given year are estimated based on historical dynamics of aggregate income for that country.

1.3.4 STEP 4. VARYING PARAMETER, NON-LINEAR ESTIMATION
Given the data available from the first three steps, the latent demand in additional countries is estimated using a "varying-parameter cross-sectionally pooled time series model".

The interested reader can find longer discussions of this type of modeling in Studies in Global Econometrics (Advanced Studies in Theoretical and Applied Econometrics V. 30), by Henri Theil, et al., Kluwer Academic Publishers; ISBN: 0792336607; (June 1996), and in Principles of Econometrics, by Henri Theil John Wiley & Sons; ISBN: 0471858455; (December 1971), and in Econometric Models and Economic Forecasts by Robert S. Pindyck, Daniel L.

Rubinfeld McGraw Hill Text; ISBN: 0070500983; 3rd edition (December 1991). Simply stated, the effect of income on latent demand is assumed to be constant across countries unless there is empirical evidence to suggest that this effect varies (i.e., the slope of the income effect is not necessarily the same for all countries).

This assumption applies across countries along the aggregate consumption function, but also over time (i.e., not all countries are perceived to have the same income growth prospects over time and this effect can vary from country to country as well). Another way of looking at this is to say that latent demand for broadwoven fabric finishing mills is more likely to be similar across countries that have similar characteristics in terms of economic development (i.e., African countries will have similar latent demand structures controlling for the income variation across the pool of African countries). This approach is useful across countries for which some notion of non-linearity exists in the aggregate cross-country consumption function.

For some categories, however, the reader must realize that the numbers will reflect a country’s contribution to global latent demand and may never be realized in the form of local sales. For certain country-category combinations this will result in what at first glance will be odd results. For example, the latent demand for the category "space vehicles" will exist for Togo even though they have no space program.

The assumption is that if the economies in these countries did not exist, the world aggregate for these categories would be lower. The share attributed to these countries is based on a proportion of their income (however small) being used to consume the category in question (i.e., perhaps via resellers).

1.3.5 STEP 5. FIXED-PARAMETER LINEAR ESTIMATION
Nonlinearities are assumed in cases where filtered data exist along the aggregate consumption function. Because the world consists of more than 200 countries, there will always be those countries, especially toward the bottom of the consumption function, where non-linear estimation is simply not possible.

For these countries, equilibrium latent demand is assumed to be perfectly parametric and not a function of wealth (i.e., a country’s stock of income), but a function of current income (a country’s flow of income). In the long run, if a country has no current income, the latent demand for broadwoven fabric finishing mills is assumed to approach zero.

The assumption is that wealth stocks fall rapidly to zero if flow income falls to zero (i.e., countries which earn low levels of income will not use their savings, in the long run, to demand broadwoven fabric finishing mills). In a graphical sense, for low-income countries, latent demand approaches zero in a parametric linear fashion with a zero-zero intercept. In this stage of the estimation procedure, low-income countries are assumed to have a latent demand proportional to their income, based on the country closest to it on the aggregate consumption function.

1.3.6 STEP 6. AGGREGATION AND BENCHMARKING
Based on the models described in Chapter 1, latent demand figures are estimated for all countries of the world, including for the smallest economies. These are then aggregated to get world totals and regional totals.

To make the numbers more meaningful, regional and global demand averages are presented. Figures are rounded, so minor inconsistencies may exist across tables.

1.3.7 STEP 7. LATENT DEMAND DENSITY: ALLOCATING ACROSS CITIES
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 also covers the world’s top 2,000 cities.

The purpose 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.

Similar to country-level data, the reader needs to realize that latent demand allocated to a city 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.


Get Industry Insights. Simply.

  • Latest reports & slideshows with insights from top research analysts
  • 150+ Million searchable statistics with tables, figures & datasets
  • More than 25,000 trusted sources
  • Single User License — provides access to the report by one individual.
  • Department License — allows you to share the report with up to 5 users
  • Site License — allows the report to be shared amongst all employees in a defined country
  • Corporate License — allows for complete access, globally.
Ahmad helps you find the right report:
Testimonials

The research specialist advised us on the best content for our needs and provided a great report and follow-up, thanks very much we shall look at ReportLinker in the future.

Kate Merrick

Global Marketing Manager at
Eurotherm by Schneider Electric

We were impressed with the support that ReportLinker’s research specialists’ team provided. The report we purchased was useful and provided exactly what we want.

Category Manager at
Ikea

ReportLinker gave access to reliable and useful data while avoiding dispersing resources and spending too much time on unnecessary research.

Executive Director at
PwC Advisory

The customer service was fast, responsive, and 100% professional in all my dealings (...) If we have more research needs, I'll certainly prioritize working with ReportLinker!

Scott Griffith

Vice President Marketing at
Maurice Sporting Goods

The research specialist provided prompt, helpful instructions for accessing ReportLinker's product. He also followed up to make sure everything went smoothly and to ensure an easy transition to the next stage of my research

Jessica P Huffman

Research Associate at
American Transportation Research Institute

Excellent customer service. Very responsive and fast.

Director, Corporate Strategy at
Ingredion

I reached out to ReportLinker for a detailed market study on the Air Treatment industry. The quality of the report, the research specialist’s willingness to solve my queries exceeded my expectations. I would definitely recommend ReportLinker for in-depth industry information.

Mariana Mendoza

Global Platform Senior Manager at
Whirlpool Corporation

Thanks! I like what you've provided and will certainly come back if I need to do further research works.

Bee Hin Png

CEO at
LDR Pte Ltd

The research specialist advised us on the best content for our needs and provided a great report and follow-up, thanks very much we shall look at ReportLinker in the future.

Kate Merrick

Global Marketing Manager at
Eurotherm by Schneider Electric

FAQ
  • How we can help
    • I am not sure if the report I am interested in will fulfill my needs. Can you help me?
    • Yes, of course. You can call us at +33(0) 4 37 65 17 03 or drop us an email at researchadvisor@reportlinker.com to let us know more about your requirements.
    • We buy reports often - can ReportLinker get me any benefits?
    • Yes. Set up a call with a Senior Research Advisor to learn more - researchadvisor@reportlinker.com or +33(0) 4 37 65 17 03.
    • I have had negative experiences with market research reports before. How can you avoid this from happening again?
    • We advise all clients to read the TOC and Summary and list your questions so that we can get more insight for you before you make any purchase decision. A research advisor will accompany you so that you can compare samples and reports from different sources, and choose the study that is right for you.

  • Report Delivery
    • How and when I will receive my Report?
    • Most reports are delivered right away in a pdf format, while others are accessed via a secure link and access codes. Do note that sometimes reports are sent within a 12 hour period, depending on the time zones. However, you can contact us to escalate this. Should you need a hard copy, you can check if this option is offered for the particular report, and pay the related fees.
  • Payment conditions
    • What payment methods do you accept?
      1. Credit card : VISA, American Express, Mastercard, or
      2. You can download an invoice to pay by wire transfer, check, or via a Purchase Order from your company, or
      3. You can pay via a Check made out in US Dollars, Euros, or British Pounds for the full amount made payable to ReportLinker
    • What are ReportLinker’s Payment Terms?
    • All payments must normally be submitted within 30 days. However, you can let us know if you need extended time.
    • Are Taxes and duties included?
    • All companies based in France must pay a 20% tax per report. The same applies to all individuals based in the EU. All EU companies must supply their VAT number when purchasing to avoid this charge.
    • I’m not satisfied. Can I be refunded?
    • No. Once your order has been processed and the publisher has received a notification to send you the report, we cannot issue any refund or cancel any order. As these are not ‘traditional’ products that can be returned, reports that are dispatched are considered to be ‘consumed’.
  • User license
    • The license that you should acquire depends on the number of persons that need to access the report. This can range from Single User (only one person will have the right to read or access the report), or Department License (up to 5 persons), to Site License (a group of persons based in the same company location), or Corporate License (the entire company personnel based worldwide). However, as publishers have different terms and conditions, we can look into this for you.
Purchase Reports From Reputable Market Research Publishers
Coated Fabrics Market: Global Forecast until 2023

Coated Fabrics Market: Global Forecast until 2023

  • $ 5649
  • October 2018

In terms of value, the coated fabrics market is projected to register a CAGR of 4.0% between 2018 and 2023The coated fabrics market is projected to grow from USD 23.93 billion in 2018 to USD 29.14 billion ...

E-CR Glass Fibers – A Global Market Overview

E-CR Glass Fibers – A Global Market Overview

  • $ 3060
  • October 2018

Report SynopsisE-CR glass fibers (E-Glass Corrosion Resistant) are glass fibers with high chemical and thermal resistance compared to traditional E-glass fibers. E-CR glass fiber is widely used in a wide ...

Growth Opportunities in the European Glass Fiber Market

Growth Opportunities in the European Glass Fiber Market

  • $ 4850
  • October 2018

Trends, opportunities and forecast in European glass fiber market to 2023 by application (marine, transportation, pipe and tank, aerospace, construction, electrical and electronics, consumer goods, wind ...

SWOT: RSWM Ltd. (RSWM) $ 125 October 2018


ref:plp2018

Reportlinker.com © Copyright 2018. All rights reserved.

ReportLinker simplifies how Analysts and Decision Makers get industry data for their business.

Make sure you don’t miss any news and follow us on