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The 2019-2024 World Outlook for Millwork

The 2019-2024 World Outlook for Millwork

  • January 2018
  • 275 pages
  • ID: 1993621

Summary

Table of Contents

This study covers the world outlook for millwork 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 millwork. 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 millwork 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 millwork 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 millwork. 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 millwork. 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 millwork.

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 millwork 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 millwork. 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 millwork. 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 millwork.

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 millwork 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 millwork 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).


The NAICS code for millwork is 32191. It is for this definition that aggregate latent demand estimates are derived.

Millwork is specifically defined as follows:
32191 This industry comprises establishments primarily engaged in manufacturing hardwood and softwood cut stock and dimension stock (i.e., shapes); wood windows and wood doors; and other millwork including wood flooring. Dimension stock or cut stock is defined as lumber and worked wood products cut or shaped to specialized sizes. These establishments generally use woodworking machinery, such as jointers, planers, lathes, and routers to shape wood.
321911 This U.S. industry comprises establishments primarily engaged in manufacturing window and door units, sash, window and door frames, and doors from wood or wood clad with metal or plastics.
3219111 Wood window units
32191111 Double hung wood window units
3219111111 Double hung wood window units, cladded
3219111121 Other double hung wood window units
32191112 Casement wood window units
3219111231 Casement wood window units, cladded
3219111241 Other casement wood window units
32191113 All other wood window units, including horizontal sliding, awning and single hung
3219111351 Horizontal sliding wood window units, cladded
3219111361 Other horizontal sliding wood window units
3219111391 All other wood window units, including awning and single hung
3219113 Wood sash, excluding sash shipped in window units
32191131 Wood sash, excluding sash shipped in window units
3219113111 Knockdown and open wood sash, excluding sash shipped in window units
3219113121 Glazed wood sash, excluding sash shipped in window units
3219115 Wood window and door frames
32191151 Wood window and door frames, including door frames shipped in door units, excluding window frames shipped in window units
3219115111 Wood window frames, excluding window frames shipped in window units
3219115121 Wood door frames, including door frames shipped in door units
3219117 Wood panel, flush, and molded face doors, interior and exterior
32191171 Wood panel, flush, and molded face doors, interior and exterior, including doors with glazed sections
3219117111 Panel douglas fir doors, interior and exterior, including doors with glazed sections
3219117115 Panel western pine doors, interior and exterior, including doors with glazed sections
3219117121 Other panel wood doors, interior and exterior, including doors with glazed sections
3219117131 Flush, hollow core, softwood faced doors, interior and exterior, including doors with glazed sections
3219117135 Flush, hollow core, hardwood faced doors (including lauan, birch, oak, etc.), interior and exterior, including doors with glazed sections
3219117141 Flush, hollow core, hardboard faced doors, interior and exterior, including doors with glazed sections
3219117145 Flush, hollow core, other faced doors, interior and exterior, including doors with glazed sections
3219117151 Flush, solid wood stave core, hardwood faced doors (including lauan, birch, oak, etc.), interior and exterior, including doors with glazed sections
3219117155 Flush, solid composition core, hardwood faced doors (including lauan, birch, oak, etc.), interior and exterior, including doors with glazed sections
3219117161 Flush, solid core, other faced doors, interior and exterior, including doors with glazed sections
3219117171 Molded face doors, interior and exterior, including doors with glazed sections
3219119 Other wood doors, incl. garage, bifold, patio, cabinet, screen, storm & louver
32191191 Other wood doors, including garage, patio, bifold, cabinet, screen, storm, and louver
3219119111 Wood garage doors
3219119121 Wood bifold doors
3219119131 Wood patio doors, sliding
3219119141 Wood patio doors, swinging
3219119151 Wood cabinet doors
3219119191 Other wood doors, including screen, storm, and louver
321911M Miscellaneous receipts
321911P Primary products
321911S Secondary products
321911SM Secondary products and miscellaneous receipts
321912 This U.S. industry comprises establishments primarily engaged in one or more of the following: (1) manufacturing dimension lumber from purchased lumber; (2) manufacturing dimension stock (i.e., shapes) or cut stock; (3) resawing the output of sawmills; and (4) planing purchased lumber. These establishments generally use woodworking machinery, such as jointers, planers, lathes, and routers to shape wood.
3219121 Hardwood lumber, not edge worked, made from purchased lumber and edge worked
32191211 Hardwood lumber, made from purchased lumber
3219121111 Beech rough lumber, not edge worked, made from purchased lumber
3219121121 Oak rough lumber, not edge worked, made from purchased lumber
3219121131 Other hardwood rough lumber, not edge worked, made from purchased lumber
3219121141 Hardwood dressed lumber, not edge worked, made from purchased lumber
3219121151 Hardwood lumber, edge worked (tongued, grooved, rabbeted, etc.), made from purchased lumber
3219123 Softwood lumber, not edge worked, made from purchased lumber and edge worked
32191231 Softwood lumber, made from purchased lumber
3219123111 Softwood rough lumber, less than 2 inches in nominal thickness, not edge worked, made from purchased lumber
3219123121 Softwood rough 2-inch lumber, 2 inches in nominal thickness only, not edge worked, made from purchased lumber
3219123131 Softwood rough lumber and timbers, more than 2 inches in nominal thickness, not edge worked, made from purchased lumber
3219123141 Softwood dressed lumber, less than 2 inches in nominal thickness, not edge worked, made from purchased lumber
3219123151 Softwood dressed 2-inch lumber, 2 inches in nominal thickness only, not edge worked, made from purchased lumber
3219123161 Softwood dressed lumber and timbers, more than 2 inches in nominal thickness, not edge worked, made from purchased lumber
3219123171 Softwood lumber, edge worked (tongued, grooved, rabbeted, etc.), made from purchased lumber
3219125 Hardwood cut stock and dimension
32191251 Hardwood furniture cut stock, rough or surfaced, cut to size
3219125111 Hardwood furniture cut stock, rough or surfaced, cut to size, for cabinets
3219125115 Hardwood furniture cut stock, rough or surfaced, cut to size, not for cabinets
32191252 Hardwood furniture dimension, semimachined, including edge and face glued parts
3219125221 Hardwood furniture dimension, semimachined, including edge and face glued parts, for cabinets
3219125225 Hardwood furniture dimension, semimachined, including edge and face glued parts, not for cabinets
32191253 Hardwood furniture dimension, fully machined, ready for assembly
3219125331 Hardwood furniture dimension, fully machined, ready for assembly, for cabinets
3219125335 Hardwood furniture dimension, fully machined, ready for assembly, not for cabinets
32191254 Hardwood industrial cut stock and dimension, and compression~modified or densified wood
3219125441 Hardwood industrial cut stock, rough or surfaced, cut to size
3219125444 Hardwood industrial dimension, semimachined, including edge and face glued parts
3219125447 Hardwood industrial dimension, fully machined, ready for assembly
3219125451 Compression~modified or densified wood (whether or not impregnated with synthetic resin)
3219126 HARDWOOD CUT STOCK AND DIMENSION
32191261 Hardwood furniture cut stock
3219126111 Hardwood furniture cut stock, rough or surfaced, cut to size, for cabinets
3219126115 Hardwood furniture cut stock, rough or surfaced, cut to size, not for cabinets
32191262 Hardwood furniture dimension, semimachined, including edge and face glued parts
3219126221 Hardwood furniture dimension, semimachined, including edge and face glued parts, for cabinets
3219126225 Hardwood furniture dimension, semimachined, including edge and face glued parts, not for cabinets
32191264 Hardwood industrial cut stock, rough or surfaced, cut to size and semi and fully machined, ready for assembly
3219126441 Hardwood industrial cut stock, rough or surfaced, cut to size
3219126449 Hardwood industrial cut stock, semi and fully machined, ready for assembly
3219127 Softwood cut stock and dimension
32191271 Softwood cut stock and dimension
3219127111 Softwood furniture cut stock
3219127121 Softwood industrial cut stock
3219127131 Softwood semimachined and fully machined furniture and industrial dimension
3219128 SOFTWOOD CUT STOCK AND DIMENSION
32191281 Softwood cut stock and dimension
3219128111 Softwood furniture cut stock
3219128121 Softwood industrial cut stock
3219128132 Softwood semimachined and fully machined furniture and industrial dimension
3219129 Sawn wood fence stock, wood lath, and contract resawing and planing
32191291 Sawn wood fence stock, wood lath, and contract resawing and planing
3219129111 Sawn wood fence pickets, posts, and rails not assembled into fence sections
3219129121 Wood lath
3219129131 Receipts for contract resawing and planing
321912M Miscellaneous receipts
321912P Primary products
321912S Secondary products
321912SM Secondary products and miscellaneous receipts
321918 This U.S. industry comprises establishments primarily engaged in manufacturing millwork (except wood windows, wood doors, and cut stock).
3219181 Wood moldings, except prefinished moldings made from purchased moldings
32191811 Wood moldings, except prefinished moldings made from purchased moldings, including moldings covered with metal, plastics, etc.
3219181111 Pine wood moldings, except prefinished moldings made from purchased moldings, including moldings covered with metal, plastics, etc.
3219181121 Other softwood moldings, except prefinished moldings made from purchased moldings, including moldings covered with metal, plastics, etc.
3219181131 Hardwood moldings, except prefinished moldings made from purchased moldings, including lauan and hardwood covered with metal, plastics, etc.
3219183 Prefinished wood moldings made from purchased moldings
32191831 Prefinished wood moldings made from purchased moldings, including wood moldings covered with metal and plastics
3219183100 Prefinished wood moldings made from purchased moldings, including wood moldings covered with metal and plastics
3219183111 Prefinished softwood moldings made from purchased moldings, including softwood covered with metal, plastics, etc.
3219183121 Prefinished hardwood moldings made from purchased moldings, including lauan and hardwood covered with metal, plastics, etc.
3219185 Other wood millwork products, inc stairwork, exterior millwork, and softwood fl
32191851 Other wood millwork products, including stairwork, exterior millwork, and softwood flooring
3219185111 Softwood stairwork, including treads, risers, balusters, brackets, crooks, newels, rails, etc.
3219185121 Hardwood stairwork, including treads, risers, balusters, brackets, crooks, newels, rails, etc.
3219185131 Exterior wood millwork, including porch columns, porch rails, newels, trellises, and entrances
3219185141 Nonstandard or specialty softwood moldings, carvings, and ornaments
3219185151 Nonstandard or specialty hardwood moldings, carvings, and ornaments
3219185161 Softwood flooring
3219185181 Other wood millwork products, including shutters, interior millwork, and softwood flooring
3219185191 Other wood millwork products, n.e.c., including shutters and interior millwork
3219187 Hardwood flooring
32191871 Oak flooring
3219187111 Oak flooring (3/4", 1/2", 3/8" T&G and EM strip; 5/16" square edge strip)
3219187121 Oak parquetry
3219187131 Other oak flooring
32191872 Hardwood flooring, other than oak
3219187222 Other hardwood flooring
3219187241 Maple flooring
3219187251 Glued laminated hardwood truck trailer flooring and railroad car decking
3219187291 Other hardwood flooring
321918M Miscellaneous receipts
321918P Primary products
321918S Secondary products
321918SM 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 millwork 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 millwork 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 millwork 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 millwork). 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. 
 

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Purchase Reports From Reputable Market Research Publishers
2018 Future of Global Wood Activated Carbon Market to 2025- Growth Opportunities, Competition, Trends and Outlook of Wood Activated Carbon Across Applications and Regions Report

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The global demand for Wood Activated Carbon is forecast to report strong growth driven by consumption in major emerging markets.More growth opportunities will turn up between 2018 and 2025 as compared ...

2018 Future of Global Wood Adhesives Market to 2025- Growth Opportunities, Competition, Trends and Outlook of Wood Adhesives Across Applications and Regions Report

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The global demand for Wood Adhesives is forecast to report strong growth driven by consumption in major emerging markets.More growth opportunities will turn up between 2018 and 2025 as compared to the ...

2018 Future of Global Wood Plastic Composite Market to 2025- Growth Opportunities, Competition, Trends and Outlook of Wood Plastic Composite Across Applications and Regions Report

2018 Future of Global Wood Plastic Composite Market to 2025- Growth Opportunities, Competition, Trends and Outlook of Wood Plastic Composite Across Applications and Regions Report

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The global demand for Wood Plastic Composite is forecast to report strong growth driven by consumption in major emerging markets.More growth opportunities will turn up between 2018 and 2025 as compared ...


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