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4 changes: 2 additions & 2 deletions HMS_species_distribution.html
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<li>wlat=latitude of centroid.</li>
<li>wlon=longitude of centroid.</li>
</ol>
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<div class="datatables html-widget html-fill-item" id="htmlwidget-c1c95012bcb8675f3351" style="width:100%;height:auto;"></div>
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<ul class="task-list">
<li><label><input type="checkbox" checked>Published Methods</label></li>
</ul>
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4 changes: 2 additions & 2 deletions SAV.html
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<li>Name: Year; Definition: SAV growing season; year. 2) Name: Tidal Fresh Total; Definition: SAV area in the Tidal Fresh Zone; Units: acres. 3) Name: Oligohaline Total</li>
</ol>
<p>; Definition: SAV area in the Oligohaline Zone; Units: acres. 4) Name: Mesohaline Total; Definition: SAV area in the Mesohaline Zone; Units: acres. 5) Name: Polyhaline Total; Definition: SAV area in the Polyhaline Zone; Units: acres. 5) Name: Baywide Total; Definition: Total SAV area in Chesapeake Bay; Units: acres.</p>
<div class="datatables html-widget html-fill-item" id="htmlwidget-6a42087b5e8b582736ea" style="width:100%;height:auto;"></div>
<script type="application/json" data-for="htmlwidget-6a42087b5e8b582736ea">{"x":{"filter":"none","vertical":false,"data":[["1","2","3","4","5"],["Tidal","Oligohaline","Mesohaline","Polyhaline","Baywide"]],"container":"<table class=\"display\">\n <thead>\n <tr>\n <th> <\/th>\n <th>Var<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"columnDefs":[{"orderable":false,"targets":0},{"name":" ","targets":0},{"name":"Var","targets":1}],"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script><p><strong>Indicator Category</strong>:</p>
<div class="datatables html-widget html-fill-item" id="htmlwidget-9c8f83e8218dd9b2497e" style="width:100%;height:auto;"></div>
<script type="application/json" data-for="htmlwidget-9c8f83e8218dd9b2497e">{"x":{"filter":"none","vertical":false,"data":[["1","2","3","4","5"],["Tidal","Oligohaline","Mesohaline","Polyhaline","Baywide"]],"container":"<table class=\"display\">\n <thead>\n <tr>\n <th> <\/th>\n <th>Var<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"columnDefs":[{"orderable":false,"targets":0},{"name":" ","targets":0},{"name":"Var","targets":1}],"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script><p><strong>Indicator Category</strong>:</p>
<ul class="task-list">
<li><label><input type="checkbox" checked>Published Methods</label></li>
</ul>
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4 changes: 2 additions & 2 deletions abc_acl.html

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4 changes: 2 additions & 2 deletions aggregate_biomass.html

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4 changes: 2 additions & 2 deletions aquaculture.html
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<p>Pieces: number of oysters produced (all regions)</p>
<p>Shellfish lease Acres: area used for shellfish production (New England states only), acres</p>
<p>Production/Acre: Pieces divided by Shellfish lease acres (New England states only)</p>
<div class="datatables html-widget html-fill-item" id="htmlwidget-4fe2684ac23748dfdd1e" style="width:100%;height:auto;"></div>
<script type="application/json" data-for="htmlwidget-4fe2684ac23748dfdd1e">{"x":{"filter":"none","vertical":false,"data":[["1","2","3"],["Pieces","Shellfish lease Acres","Production/Acre"]],"container":"<table class=\"display\">\n <thead>\n <tr>\n <th> <\/th>\n <th>Var<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"columnDefs":[{"orderable":false,"targets":0},{"name":" ","targets":0},{"name":"Var","targets":1}],"order":[],"autoWidth":false,"orderClasses":false},"selection":{"mode":"multiple","selected":null,"target":"row","selectable":null}},"evals":[],"jsHooks":[]}</script><p><strong>Indicator Category</strong>:</p>
<div class="datatables html-widget html-fill-item" id="htmlwidget-aef772f3e151fba26e91" style="width:100%;height:auto;"></div>
<script type="application/json" data-for="htmlwidget-aef772f3e151fba26e91">{"x":{"filter":"none","vertical":false,"data":[["1","2","3"],["Pieces","Shellfish lease Acres","Production/Acre"]],"container":"<table class=\"display\">\n <thead>\n <tr>\n <th> <\/th>\n <th>Var<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"columnDefs":[{"orderable":false,"targets":0},{"name":" ","targets":0},{"name":"Var","targets":1}],"order":[],"autoWidth":false,"orderClasses":false},"selection":{"mode":"multiple","selected":null,"target":"row","selectable":null}},"evals":[],"jsHooks":[]}</script><p><strong>Indicator Category</strong>:</p>
<ul class="task-list">
<li><label><input type="checkbox" checked>Syntheses of published information</label></li>
</ul>
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14 changes: 7 additions & 7 deletions bennet.html
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<h2>
<span class="header-section-number">63.1</span> Introduction to Indicator<a class="anchor" aria-label="anchor" href="#introduction-to-indicator-62"><i class="fas fa-link"></i></a>
</h2>
<p>The Bennet (1920) indicator (BI) was first used to show how a change in social welfare could be decomposed into a sum of a price and quantity change indicator (<span class="citation">[<a href="#ref-cross_value_2009">103</a>]</span>). It is called an indicator because it is based on differences in value between time periods, rather than ratios, which are referred to as indices. The BI is the indicator equivalent of the more popular Fisher index (<span class="citation">[<a href="#ref-balk_assumption-free_2010">104</a>]</span>), and has been used to examine revenue changes in Swedish pharmacies, productivity change in U.S. railroads (<span class="citation">[<a href="#ref-lim_profit_2009">105</a>]</span>), and dividend changes in banking operations <span class="citation">[<a href="#ref-grifell-tatje_decomposing_2004">106</a>]</span>. An attractive feature of the BI is that the overall indicator is equal to the sum of its subcomponents <span class="citation">[<a href="#ref-balk_assumption-free_2010">104</a>]</span>. This allows us to examine whether increasing (decreasing) volumes, increasing (decreasing) prices, or some combination of the two is responsible for revenue change between time periods. The volume and price indicators can be further decomposed allowing us to examine the extent to which changing quantities or prices of each output is driving revenue change.</p>
<p>The Bennet (1920) indicator (BI) was first used to show how a change in social welfare could be decomposed into a sum of a price and quantity change indicator (<span class="citation">[<a href="#ref-cross_value_2009">105</a>]</span>). It is called an indicator because it is based on differences in value between time periods, rather than ratios, which are referred to as indices. The BI is the indicator equivalent of the more popular Fisher index (<span class="citation">[<a href="#ref-balk_assumption-free_2010">106</a>]</span>), and has been used to examine revenue changes in Swedish pharmacies, productivity change in U.S. railroads (<span class="citation">[<a href="#ref-lim_profit_2009">107</a>]</span>), and dividend changes in banking operations <span class="citation">[<a href="#ref-grifell-tatje_decomposing_2004">108</a>]</span>. An attractive feature of the BI is that the overall indicator is equal to the sum of its subcomponents <span class="citation">[<a href="#ref-balk_assumption-free_2010">106</a>]</span>. This allows us to examine whether increasing (decreasing) volumes, increasing (decreasing) prices, or some combination of the two is responsible for revenue change between time periods. The volume and price indicators can be further decomposed allowing us to examine the extent to which changing quantities or prices of each output is driving revenue change.</p>
<p>Revenue in an EPU in a given year is the product of quantities landed and prices received from all species groups (or guilds) within the EPU. The change in revenue between any two time points can be decomposed into a volume indicator (VI) and a price indicator (PI).</p>
<p>The overall BI is the sum of the VI and PI, and is equal to the overall revenue change. Since revenue change is being driven by changes in the individual prices and quantities landed of each species group within an EPU, changes at the EPU level can be examined separately by taking advantage of the additive property of the indicator. For example, if there are five different species groups, the sum of each group’s VI will equal the overall EPU VI, and likewise, the sum of the PI for each group will equal the overall PI for the EPU.</p>
</div>
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<li><p>Price Indicator (PI): Change in Revenue compared to the base time period in deflated dollars attributed to changes in prices for species harvested.</p></li>
<li><p>Bennet Indicator (BI): The Sum of a Volume Indicator (VI) and Price Indicator (PI) in inflation adjusted dollars, which is equal to the change in revenue.</p></li>
</ol>
<div class="datatables html-widget html-fill-item" id="htmlwidget-24b45f06e6a3567e80e5" style="width:100%;height:auto;"></div>
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<div class="datatables html-widget html-fill-item" id="htmlwidget-f270e599df7915112923" style="width:100%;height:auto;"></div>
<script type="application/json" data-for="htmlwidget-f270e599df7915112923">{"x":{"filter":"none","vertical":false,"data":[["1","2","3","4","5","6","7","8","9","10","11","12","13","14","15"],["Apex Predator Volume Indicator - Bennet","Benthivore Volume Indicator - Bennet","Benthos Volume Indicator - Bennet","Other Volume Indicator - Bennet","Piscivore Volume Indicator - Bennet","Planktivore Volume Indicator - Bennet","Apex Predator Price Indicator - Bennet","Benthivore Price Indicator - Bennet","Benthos Price Indicator - Bennet","Other Price Indicator - Bennet","Piscivore Price Indicator - Bennet","Planktivore Price Indicator - Bennet","Total Volume Indicator - Bennet","Total Price Index - Bennet","Total Revenue Change - Bennet"],["Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S.","Million Dollars U.S."]],"container":"<table class=\"display\">\n <thead>\n <tr>\n <th> <\/th>\n <th>Var<\/th>\n <th>Units<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"columnDefs":[{"orderable":false,"targets":0},{"name":" ","targets":0},{"name":"Var","targets":1},{"name":"Units","targets":2}],"order":[],"autoWidth":false,"orderClasses":false},"selection":{"mode":"multiple","selected":null,"target":"row","selectable":null}},"evals":[],"jsHooks":[]}</script><p><strong>Indicator Category</strong>:</p>
<ul class="task-list">
<li><label><input type="checkbox" checked>Database pull with analysis</label></li>
</ul>
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<h3>References</h3>
<div id="refs" class="references csl-bib-body">
<div id="ref-cross_value_2009" class="csl-entry">
<div class="csl-left-margin">103. </div>
<div class="csl-left-margin">105. </div>
<div class="csl-right-inline">Cross RM, Färe R. Value data and the <span>Bennet</span> price and quantity indicators. Economics Letters. 2009;102: 19–21. doi:<a href="https://doi.org/10.1016/j.econlet.2008.10.003">10.1016/j.econlet.2008.10.003</a>
</div>
</div>
<div id="ref-balk_assumption-free_2010" class="csl-entry">
<div class="csl-left-margin">104. </div>
<div class="csl-left-margin">106. </div>
<div class="csl-right-inline">Balk BM. An <span>Assumption</span>-<span>Free</span> <span>Framework</span> for <span>Measuring</span> <span>Productivity</span> <span>Change</span>. Review of Income and Wealth. 2010;56: S224–S256. doi:<a href="https://doi.org/10.1111/j.1475-4991.2010.00388.x">10.1111/j.1475-4991.2010.00388.x</a>
</div>
</div>
<div id="ref-lim_profit_2009" class="csl-entry">
<div class="csl-left-margin">105. </div>
<div class="csl-left-margin">107. </div>
<div class="csl-right-inline">Lim SH, Lovell CAK. Profit and productivity of <span>US</span> <span>Class</span> <span>I</span> railroads. Managerial and Decision Economics. 2009;30: 423–442. doi:<a href="https://doi.org/10.1002/mde.1462">10.1002/mde.1462</a>
</div>
</div>
<div id="ref-grifell-tatje_decomposing_2004" class="csl-entry">
<div class="csl-left-margin">106. </div>
<div class="csl-left-margin">108. </div>
<div class="csl-right-inline">Grifell-Tatjé E, Lovell CAK. Decomposing the dividend. Journal of Comparative Economics. 2004;32: 500–518. doi:<a href="https://doi.org/10.1016/j.jce.2004.05.002">10.1016/j.jce.2004.05.002</a>
</div>
</div>
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