{"id":934,"date":"2017-10-31T07:42:35","date_gmt":"2017-10-31T06:42:35","guid":{"rendered":"http:\/\/forest-analytics.com\/?p=934"},"modified":"2017-10-31T07:46:37","modified_gmt":"2017-10-31T06:46:37","slug":"factors-deciding-timber-supply-forest-owners","status":"publish","type":"post","link":"https:\/\/forest-analytics.com\/index.php\/2017\/10\/31\/factors-deciding-timber-supply-forest-owners\/","title":{"rendered":"Main factors deciding timber supply among non-industrial private forest (NIPF) owners"},"content":{"rendered":"<p style=\"text-align: justify;\"><strong>Have you ever thought what factors determine timber supply among non-industrial private forest owners? In this post, I discuss some basic theories that drive decisions of NIPF owners, and I focus on some factors that are crucial when you are planning to start a new timber business in particular location. Enjoy!\u00a0<\/strong><\/p>\n<p style=\"text-align: justify;\"><!--more--><\/p>\n<h1 style=\"text-align: justify;\">Private forests matter<\/h1>\n<p style=\"text-align: justify;\">Private forest owners have a crucial role in achieving sustainable forest management, in sustaining the productivity of forests and in satisfying the increasing demand for wood resources from wood processing manufacturers and bioenergy producers.<\/p>\n<p style=\"text-align: justify;\">In Europe ca. 49.6% of forest and other wooded land is privately owned, and 50.1% publicly. On the other hand, in the U.S. about 37.9% of all forested land is represented by NIPFs, most in the East.<\/p>\n<p style=\"text-align: justify;\">One of the most important decisions in forestry is determining the optimal harvest time, which is a complex issue influenced by many parameters. Someone who just finished the course in forest economics could say that the timber supply among NIPF owners depends on Faustmann theorem, called also Bare Land Value or Soil Expectation Value or its extension towards ecosystem services, i.e. Hartman theorem. Unfortunatelly, the real world differs from theoretical models, which are rarely applied in practice due to partly unrealistic assumptions, such as:<\/p>\n<ul style=\"text-align: justify;\">\n<li>Constant timber prices, discount rate, or<\/li>\n<\/ul>\n<ul style=\"text-align: justify;\">\n<li>Omission of the embedded option to defer the decision to harvests<\/li>\n<\/ul>\n<h3 style=\"text-align: justify;\"><strong>&gt;&gt;READ MORE:\u00a0<a href=\"http:\/\/forest-analytics.com\/index.php\/2017\/08\/16\/why-interest-rates-differ-in-timberland-investments\/\" target=\"_blank\" rel=\"noopener\">Why interest rates differ in timberland investments?<\/a><\/strong><\/h3>\n<h1 style=\"text-align: justify;\">So what theory drives then behavior of private forest owner?<\/h1>\n<p style=\"text-align: justify;\">The answer is simple: <strong>Utility maximization theory.\u00a0<\/strong>Shortly speaking,\u00a0<b>utility\u00a0<\/b>is a measure of preferences over some set of goods (including services: something that satisfies human\u00a0wants); it represents satisfaction experienced by the\u00a0consumption of a\u00a0good. The\u00a0<b>utility maximization problem\u00a0<\/b>is following:<\/p>\n<blockquote><p><span style=\"color: #008000;\"><em><strong>How should I spend my\u00a0money\u00a0in order to maximize my\u00a0utility?<\/strong><\/em><\/span><\/p><\/blockquote>\n<p style=\"text-align: justify;\">The model is therefore:<\/p>\n<blockquote><p><strong>Max <i>u = u<\/i>(<i>x<\/i><i>1<\/i><i>, \u2026 , x<\/i><i>n<\/i>)<\/strong><\/p>\n<p><strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 s.t. <i>\u03a3 p<\/i><i>i<\/i><i>*<\/i><i>x<\/i><i>i<\/i> \u2264 m<\/strong><\/p>\n<p><strong><i>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 x<\/i><i>i<\/i> \u2265 0 \u2c6f <i>i\u00a0<\/i><\/strong><\/p><\/blockquote>\n<p style=\"text-align: justify;\">, where u- utility;\u00a0<i>x<\/i><i>1<\/i><i>, \u2026 , x<\/i><i>n<\/i> &#8211; goods;\u00a0m \u2013 income;\u00a0p &#8211; prices<\/p>\n<p style=\"text-align: justify;\"><img data-attachment-id=\"937\" data-permalink=\"https:\/\/forest-analytics.com\/index.php\/2017\/10\/31\/factors-deciding-timber-supply-forest-owners\/utilitymax\/\" data-orig-file=\"https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/utilitymax.png?fit=640%2C448&amp;ssl=1\" data-orig-size=\"640,448\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"utilitymax\" data-image-description=\"\" data-medium-file=\"https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/utilitymax.png?fit=300%2C210&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/utilitymax.png?fit=640%2C448&amp;ssl=1\" loading=\"lazy\" class=\"aligncenter wp-image-937 size-full\" src=\"https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/utilitymax.png?resize=640%2C448\" alt=\"utility theory in timber supply\" width=\"640\" height=\"448\" srcset=\"https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/utilitymax.png?w=640&amp;ssl=1 640w, https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/utilitymax.png?resize=300%2C210&amp;ssl=1 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" data-recalc-dims=\"1\" \/><\/p>\n<p style=\"text-align: justify;\">Here, for simplicity I draw two goods, X (spruce pulpwood in m3) and Y (pine pulpwood in m3), that consumer, in this case, let&#8217;s say paper mill, can buy. Paper mill has some budget (a red line) that can spend either on purchase of 100% spruce pulpwood, or 100% pine pulpwood, or on combination of those two. The green area under the red line represent feasible budget set, or in other words that within the area the pulp mill can select any combination of those two goods without worrying about the budget. Then we have two utility curves, which represent the pulp mill level of satisfaction in consuming pine and spruce pulpwood. I put many different x1, &#8230;.xn, to just mark that utility functions can have many variables and can be drawn in N-dimensions, not only 2D. The idea behind utility maximization problem is to find such combination of different species of pulpwood, given budget constraint, to maximize pulp mill satisfaction (utility). Forest owners are not differnt in that matter, they want to maximize the utility either for themselves, or for investors.<\/p>\n<h3><strong>&gt;&gt;READ ALSO:\u00a0<a href=\"http:\/\/www.forest-monitor.com\/en\/eu-wood-pellet-market\/\" target=\"_blank\" rel=\"noopener\">The EU as the world\u2019s largest wood pellet market<\/a><\/strong><\/h3>\n<p style=\"text-align: justify;\">Every forest owner who is a utility maximizer has such a problem in mind. Let&#8217;s consider two forest owners now, who can either use their land for deer production (like in New Zealand) or for growing trees for sawtimber. Just a simple example.<\/p>\n<p style=\"text-align: justify;\"><img data-attachment-id=\"940\" data-permalink=\"https:\/\/forest-analytics.com\/index.php\/2017\/10\/31\/factors-deciding-timber-supply-forest-owners\/deer\/\" data-orig-file=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/deer.png?fit=982%2C577&amp;ssl=1\" data-orig-size=\"982,577\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"deer\" data-image-description=\"\" data-medium-file=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/deer.png?fit=300%2C176&amp;ssl=1\" data-large-file=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/deer.png?fit=982%2C577&amp;ssl=1\" loading=\"lazy\" class=\"aligncenter wp-image-940 size-full\" src=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/deer.png?resize=982%2C577\" alt=\"\" width=\"982\" height=\"577\" srcset=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/deer.png?w=982&amp;ssl=1 982w, https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/deer.png?resize=300%2C176&amp;ssl=1 300w, https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/deer.png?resize=768%2C451&amp;ssl=1 768w\" sizes=\"(max-width: 982px) 100vw, 982px\" data-recalc-dims=\"1\" \/><\/p>\n<p style=\"text-align: justify;\">The blue line represents budget constraint (5K Euro), while green and purple dashed ones show objectives of two different forest owners with differnt objectives based on their values of things. First forest owner (you can call him Forester) values more timber (50 Euro\/m3) than Habitat Site Index (HSI). I put here HSI as some kind measurement of deer production, as you can have either deers or trees on the property. However, at the beginning of budget line you can see an increase. It means that at the beginning trees and deer complement each other (e.g. deer have shade from trees). At the peak possible HSI however we see that additional trees have a negative or competitive relationship with HSI. Assuming that the last part of budget (btw, this budget also shows our production possibility frontier) at very high sawtimber values is vertical, the relationship there looks independent because changes in deer habitat don&#8217;t change tree volume.<\/p>\n<h3><strong>&gt;&gt;READ ALSO:\u00a0<a href=\"http:\/\/forest-analytics.com\/index.php\/2017\/10\/15\/aggressive-acquisition-strategy-pulp-and-paper-industry\/\" target=\"_blank\" rel=\"noopener\">Does an aggressive acquisition strategy always pay back? &#8211; pulp and paper industry example<\/a><\/strong><\/h3>\n<p style=\"text-align: justify;\">The second owner (more nature oriented) has different preferences than first one, i.e. he prefers more HSI as it has bigger value to him over timber. That it is why his objective line is more horizontal than Forest Owner 1. When you shift his objective line towards budget line (max utility given budget) than naturally he will end with the solution that he will produce more HSI than timber on his property (contrary to Forester).<\/p>\n<h1 style=\"text-align: justify;\">Timber supply \u2013 some factors to consider<\/h1>\n<h2 style=\"text-align: justify;\">1.\u00a0Ownership structure of forest and other wooded land<\/h2>\n<h2 style=\"text-align: justify;\">1a. In Europe<\/h2>\n<p style=\"text-align: justify;\"><img data-attachment-id=\"941\" data-permalink=\"https:\/\/forest-analytics.com\/index.php\/2017\/10\/31\/factors-deciding-timber-supply-forest-owners\/europowner\/\" data-orig-file=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/europowner.png?fit=1285%2C699&amp;ssl=1\" data-orig-size=\"1285,699\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"europowner\" data-image-description=\"\" data-medium-file=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/europowner.png?fit=300%2C163&amp;ssl=1\" data-large-file=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/europowner.png?fit=1024%2C557&amp;ssl=1\" loading=\"lazy\" class=\"aligncenter wp-image-941 size-large\" src=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/europowner-1024x557.png?resize=1024%2C557\" alt=\"factors\u00a0deciding timber supply among NIPF owners\" width=\"1024\" height=\"557\" srcset=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/europowner.png?resize=1024%2C557&amp;ssl=1 1024w, https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/europowner.png?resize=300%2C163&amp;ssl=1 300w, https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/europowner.png?resize=768%2C418&amp;ssl=1 768w, https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/europowner.png?w=1285&amp;ssl=1 1285w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" data-recalc-dims=\"1\" \/><\/p>\n<h2 style=\"text-align: justify;\">1b. In USA<\/h2>\n<p style=\"text-align: justify;\"><img data-attachment-id=\"942\" data-permalink=\"https:\/\/forest-analytics.com\/index.php\/2017\/10\/31\/factors-deciding-timber-supply-forest-owners\/usaowner\/\" data-orig-file=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/usaowner.png?fit=779%2C653&amp;ssl=1\" data-orig-size=\"779,653\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"usaowner\" data-image-description=\"\" data-medium-file=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/usaowner.png?fit=300%2C251&amp;ssl=1\" data-large-file=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/usaowner.png?fit=779%2C653&amp;ssl=1\" loading=\"lazy\" class=\"aligncenter wp-image-942 size-full\" src=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/usaowner.png?resize=779%2C653\" alt=\"factors\u00a0deciding timber supply among NIPF owners\" width=\"779\" height=\"653\" srcset=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/usaowner.png?w=779&amp;ssl=1 779w, https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/usaowner.png?resize=300%2C251&amp;ssl=1 300w, https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/usaowner.png?resize=768%2C644&amp;ssl=1 768w\" sizes=\"(max-width: 779px) 100vw, 779px\" data-recalc-dims=\"1\" \/><\/p>\n<h3><strong>&gt;&gt;READ ALSO:\u00a0<a href=\"http:\/\/forest-analytics.com\/index.php\/2017\/09\/24\/wood-supply-chain\/\" target=\"_blank\" rel=\"noopener\">The most developed wood supply chain in the world. Others should learn from it!<\/a><\/strong><\/h3>\n<h2 style=\"text-align: justify;\">2.\u00a0Share of size classes as percentage of total number of private holdings in Europe and U.S.<\/h2>\n<p style=\"text-align: justify;\"><img data-attachment-id=\"943\" data-permalink=\"https:\/\/forest-analytics.com\/index.php\/2017\/10\/31\/factors-deciding-timber-supply-forest-owners\/structure\/\" data-orig-file=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/structure.png?fit=1364%2C668&amp;ssl=1\" data-orig-size=\"1364,668\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"structure\" data-image-description=\"\" data-medium-file=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/structure.png?fit=300%2C147&amp;ssl=1\" data-large-file=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/structure.png?fit=1024%2C501&amp;ssl=1\" loading=\"lazy\" class=\"aligncenter wp-image-943 size-large\" src=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/structure-1024x501.png?resize=1024%2C501\" alt=\"\" width=\"1024\" height=\"501\" srcset=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/structure.png?resize=1024%2C501&amp;ssl=1 1024w, https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/structure.png?resize=300%2C147&amp;ssl=1 300w, https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/structure.png?resize=768%2C376&amp;ssl=1 768w, https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/structure.png?w=1364&amp;ssl=1 1364w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" data-recalc-dims=\"1\" \/><\/p>\n<h2 style=\"text-align: justify;\">3. Occupation, age and gender of forest owners as important characteristics influencing their behavior<\/h2>\n<p style=\"text-align: justify;\"><img data-attachment-id=\"944\" data-permalink=\"https:\/\/forest-analytics.com\/index.php\/2017\/10\/31\/factors-deciding-timber-supply-forest-owners\/ocupa\/\" data-orig-file=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/ocupa.png?fit=1048%2C592&amp;ssl=1\" data-orig-size=\"1048,592\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"ocupa\" data-image-description=\"\" data-medium-file=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/ocupa.png?fit=300%2C169&amp;ssl=1\" data-large-file=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/ocupa.png?fit=1024%2C578&amp;ssl=1\" loading=\"lazy\" class=\"aligncenter wp-image-944 size-large\" src=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/ocupa-1024x578.png?resize=1024%2C578\" alt=\"factors\u00a0deciding timber supply among NIPF owners\" width=\"1024\" height=\"578\" srcset=\"https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/ocupa.png?resize=1024%2C578&amp;ssl=1 1024w, https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/ocupa.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/ocupa.png?resize=768%2C434&amp;ssl=1 768w, https:\/\/i2.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/ocupa.png?w=1048&amp;ssl=1 1048w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" data-recalc-dims=\"1\" \/><\/p>\n<h1 style=\"text-align: justify;\">Main factors\u00a0deciding timber supply among NIPF owners<\/h1>\n<p style=\"text-align: justify;\">Based on literature review, we found following main factors deciding timber supply among NIPF owners:<\/p>\n<ul style=\"text-align: justify;\">\n<li>Law and policy (e.g. minimum allowed rotation age, replanting rules etc.)<\/li>\n<li>Wood prices (own and cross price elasticities), interest rates, growing stock (Bolkesj\u00f8 et al. 2010), market for wood product (e.g. biomass, pulplogs) and its price (Markowski-Lindsey et al. 2012)<\/li>\n<li>Prestemon et al. (2000) found that NIPF were elastically responsive when they perceived prices increases as temporary, but less elastically or negatively responsive when prices increases were perceived as permanent.<\/li>\n<li>Forester\u2019s age, income and education (Beach et al. 2005) \u2013 mostly \u201cuniversity degree\u201d (mostly a degree in forestry) not necessarily economic education matters (Sauter et al. 2016). Also gender (Kuuluvainen 2014 \u2013 women sold about 30% less m3\/ha\/yr than men, their harvests were less frequent but larger in quantitites)<\/li>\n<li>Forest ownership parameters, e.g. size of forest land \u2013 economics of scale (Dennis 1989), fragmentation (Petucco et al. 2015) or, for instance, composition of tree species (Joshi 2011), age clases)<\/li>\n<li>Amenities values, keeping forest for next generations (Hartman 1976)<\/li>\n<li>category of NIFP owners on those who act according to profit maximization, and on those who give higher value to non-financial forest attributes (harvest less frequently) (Kuuluvainen et al. 1996). In this paper, authors found that \u201cmultiobjective owners\u201d harvest significantly more (m3\/ha\/yr) than other groups (self-employed owners, recreationists, and investors). In other words, owners attitudes, beliefs and objective matter here. Some owners manage their forests in passive way, some probably do not know where their forest located is.<\/li>\n<\/ul>\n<h1 style=\"text-align: justify;\">Summary<\/h1>\n<p style=\"text-align: justify;\"><strong>Before you start your forest-related business, and you have to rely on timber suppliers, you should be aware that forest owners are utility maximizers (same as you). Even if from the perspective of forest business they seem sometimes irrational in their behavior, they usually know what they are doing, and their decisions are definitely rational for themselves, and often based on their own values, which are often not clear.\u00a0<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>Socio-demographic characteristsics are very significant predictors of the harvesting decisions, and before you start your wood business , the proper market research among forest owners should be done to better understand who they are, what management objectives drive their decisions, or how they consider risk and incentives related to their forest.<\/strong><\/p>\n<p><strong>The rule of thumb is that small parcel size significantly\u00a0increases the production costs per unit in harvesting operation, planting, management, and in the same time lowers economic efficiency compared to industrial private forests for which there is a positive relationship with holding size. Based on these factors, different forest owners will behave differently on the wood market, and your forest-based business should always consider physical and socio-demographic characteristics of forest owners in the area you will operate and where you will have to deal with them in your forest business relations.\u00a0<\/strong><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #008000;\"><strong>Forest Business Analytics (FBA) \u2013 a specialized consulting and business analytical company in forest and wood industry sectors \u2013 has worked with the leading forest companies for years, and understands the challenges in\u00a0wood supply management. We have been involved\u00a0in research projects related to supply availability and sustainability\u00a0for the volumes and raw material types required by wood-using facilities. Our clients use FBA analyses to calculate transfer prices and develop wood or fiber supply agreements; locate, close, or expand wood-using mills or bioenergy plants, or make timberland investment decisions.<\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #008000;\"><strong>FBA is changing business analytics forever by data preparation and analysis \u2014 giving unprecedented power to forest and wood industry products businesses without the need for cumbersome and expensive IT investments. <\/strong><strong>Thanks to solutions, your company will be able to adjust faster to changing business environment, and will have a knowledge how to deal with risk related to oversupply and shortage<\/strong><strong>\u00a0in the wood supply.<\/strong><\/span><\/p>\n<hr \/>\n<p style=\"text-align: justify;\"><strong>Author of the post:\u00a0<\/strong><\/p>\n<p style=\"text-align: justify;\"><img data-attachment-id=\"722\" data-permalink=\"https:\/\/forest-analytics.com\/index.php\/2017\/08\/16\/why-interest-rates-differ-in-timberland-investments\/aaa-2\/\" data-orig-file=\"https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/08\/aaa.png?fit=307%2C400&amp;ssl=1\" data-orig-size=\"307,400\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Rafal Chudy\" data-image-description=\"\" data-medium-file=\"https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/08\/aaa.png?fit=230%2C300&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/08\/aaa.png?fit=307%2C400&amp;ssl=1\" loading=\"lazy\" class=\"size-medium wp-image-722 alignleft\" src=\"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/08\/aaa-230x300.png?resize=230%2C300\" alt=\"Rafal Chudy Forest Business Analytics\" width=\"230\" height=\"300\" srcset=\"https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/08\/aaa.png?resize=230%2C300&amp;ssl=1 230w, https:\/\/i0.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/08\/aaa.png?w=307&amp;ssl=1 307w\" sizes=\"(max-width: 230px) 100vw, 230px\" data-recalc-dims=\"1\" \/>Rafal Chudy \u2013 PhD Candidate in forest and resource economics at the Faculty of Environmental Sciences and Natural Resource Management,\u00a0Norwegian University of Life Sciences (NMBU). He has acquired the international experience in forestry and forest economics at North Carolina State University, Swedish University of Agricultural Sciences, Oregon State University, University of Helsinki, University of Hamburg and\u00a0Warsaw School of Economics. Rafal has gained profesional experience as forest economists and analyst at United States Department of Agriculture, National Forest Holding in Poland and many other companies from private sector.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><strong>Sources:<\/strong><\/p>\n<ul>\n<li style=\"text-align: justify;\">Beach, R.H., Pattanayak, S.K., Yang, JC, Murray, B.C, Abt, R.C. 2005. Econometric studies of non-idustrial private forest management: a review and synthesis. J.For.Econ. 7(3), 261-281.<\/li>\n<li style=\"text-align: justify;\">Bolkesj\u2298, T.F., Buongiorno, J., Solberg, B., 2010. Joint production and substitution in timber supply: a panel data analysis. Appl. Econ. 42, 671\u2013680<\/li>\n<li style=\"text-align: justify;\">Dennis, D.F., 1989. An economic analysis of harvest behavior: integrating forest and ownership characteristics. For. Sci. 35 (4), 1088\u20131104<\/li>\n<li style=\"text-align: justify;\">Sauter, P. A., Mu\u00dfhoff, O., M\u00f6hring, B., &amp; Wilhelm, S. (2016). Faustmann vs . real options theory \u2013 An experimental investigation of foresters \u2019 harvesting decisions. <i>Journal of Forest Economics<\/i>, <i>24<\/i>, 1\u201320.<\/li>\n<li style=\"text-align: justify;\">Kuuluvainen, J., Karppinen, H., Ovaskainen, V., 1996. Landowner objectives and nonindustrial private timber supply. For. Sci. 42 (3), 300\u2013309.<\/li>\n<li style=\"text-align: justify;\">Petucco, C., Abildtrup, J., &amp; Stenger, A. (2015). Influences of nonindustrial private forest landowners \u2019 management priorities on the timber harvest decision \u2014 A case study in France. <i>Journal of Forest Economics<\/i>, <i>21<\/i>(3), 152\u2013166.<\/li>\n<li style=\"text-align: justify;\">Hirsch F., A. Korotkov, M. Wilnhammer. 2007. Private forest ownership in Europe. Unasylva 2132, Vol. 554, 2003<\/li>\n<li style=\"text-align: justify;\">Pamela P., A. Schuck, P.J.Verkerk, B. Lasserre, M. Marchetti and T. Green. Mapping the distribution of forest ownership in Europe. EFI Technical Report 88, 2013.<\/li>\n<li style=\"text-align: justify;\">Markowski-Lindsay M et al. 2012. Family forest owner preferences for biomass harvesting in Massachusetts. For Policy Econ 2012; 14(1): 127-35.<\/li>\n<li style=\"text-align: justify;\">Aguilar, F. X., Cai, Z., &amp; Amato, A. W. D. (2014). Non-industrial private forest owner\u2019s willingness- to-harvest\u202f: How higher timber prices influence woody biomass supply. <i>Biomass and Bioenergy<\/i>, <i>71<\/i>, 202\u2013215.<\/li>\n<li style=\"text-align: justify;\">USDA. 2008. Who owns America\u2019s Forests? Forest Ownership Patterns and Family Forest Highlights from National Woodland Owner Survey. Northern Research Station NRS-INF 06-08-2008.<\/li>\n<li style=\"text-align: justify;\">Joshi, O., &amp; Mehmood, S. R. (2010). Factors affecting nonindustrial private forest landowners \u2019 willingness to supply woody biomass for bioenergy. <i>Biomass and Bioenergy<\/i>, <i>35<\/i>(1), 186\u2013192.<\/li>\n<li style=\"text-align: justify;\">Amacher, G.S., Conway, M.C., Sullivan, J., 2003. Econometric analysis of nonindustrial landowners: is there anything left to study? J. For. Econ. 9 (2), 137\u2013164.<\/li>\n<li style=\"text-align: justify;\">Beach, R.H., Pattanayak, S.K., Yang, J.C., Murray, B.C., Abt, R.C., 2005. Econometric studies of non-industrial private forest management a review and synthesis. For. Policy Econ. 7 (3), 261\u2013281.<\/li>\n<li style=\"text-align: justify;\">Kuuluvainen, J., Favada, I., Uusivuori, J., 2006. Empirical behaviour models of timber supply. In: Aronsson, T., Axelsson, R., Br\u00e4nnlund, R. (Eds.), The Theory and Practice of Environmental and Resource Economics. Essays in Honour of Karl-Gustaf L\u00f6fgren. Edward Elgar, Cheltenham, pp. 225\u2013245<\/li>\n<li style=\"text-align: justify;\">Hirsch, F. A. Korotkov and M. Wilnhammer. Private forest ownership in Europe.\u00a0Unasylva 2132, Vol. 554, 2003&#8242;<\/li>\n<\/ul>\n<p><em><strong>Main photo: Rafal Chudy<\/strong><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Have you ever thought what factors determine timber supply among non-industrial private forest owners? In this post, I discuss some basic theories that drive decisions of NIPF owners, and I focus on some factors that are crucial when you are planning to start a new timber business in particular location. Enjoy!\u00a0<\/p>\n","protected":false},"author":1,"featured_media":950,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false},"categories":[107,80,49,53],"tags":[141,140,144,143,25,142],"jetpack_featured_media_url":"https:\/\/i1.wp.com\/forest-analytics.com\/wp-content\/uploads\/2017\/10\/DSCN5645.jpg?fit=4000%2C3000&ssl=1","jetpack_publicize_connections":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v15.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<meta name=\"description\" content=\"Have you ever thought what factors determine timber supply among non-industrial private forest owners? 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