The Economic Value of Water and Ecosystem Preservation

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Figure 5-16. Employment percentage change by sector. Calhoun, 2001-2005 0% -5% -10% -15% -20% -25% Fishing, and related activit ies M ining Const ruct ion 64 M anuf acturing Manufacturing. This was one of the weakest sectors, declining at a rate of 22 percent rate (Figure 5-16). This can be translated to a loss of 892 jobs from 2001 to 2005. All three components negatively influenced this sector in Calhoun (Table 5-7). Construction. This sector declined 8 percent, which is attributed to a loss of 171 jobs (Figure 5-16). Although the unique mix of industries was positive for the County, this was not enough to overweight the negative impact of both the national share and the competitive share component (Table 5-7). Figure 5-17. Employment change by sector. Calhoun, 2001-2005 0 -100 -200 -300 -400 -500 -600 -700 -800 -900 -1000 Mining Fishing, and related activities Construction Manufacturing
5.3.2. Input-Output Analysis The input-output modeling via IMPLAN is based on the county level. We had the opportunity to develop an input-output model that consisted of as many counties as we chose. To provide a more regional approach we analyze the economic impact of employment change in the four sectors starting with the combined Aransas/Calhoun region, and then Aransas and Calhoun separately. Once again, Refugio has no measurable fishing industry to speak of so it is not included in the analysis. Aransas/Calhoun The two county region of Aransas and Calhoun tells a much different story then the counties analyzed separately. Fishing employment has decreased over the time period analyzed, as identified in the previous section, for both counties. The combined impact has been a loss of $3.3 million in output, 93 jobs, and $1.7 million in income (see Table 5-8). Mining (oil and gas) has bolstered the regions economic activity. This is no doubt heavily influenced by high oil and natural gas prices which have created the needed incentive to increase output of currently producing wells, and bring into production new and old wells that would otherwise have been considered economically infeasible. As a result, output, employment, and income have all increased for this sector on a two county regional level. Construction output, employment, and income grew during this time period as this region was buoyed by a number of events. Nationally housing starts were on the rise as financing for purchases were relatively easy to acquire. However, we are currently seeing the results of that superheated housing market. Secondly, the region experienced an increase in Winter Texans and permanent retirees, which pushed up demand for housing. As will be shown below, this impact was more pronounced in Aransas County. Table 5-8. Economic Impact-Aransas/Calhoun Direct Indirect Induced Total Fishing (-) Output $2,481,680 $345,099 $512,675 $3,339,454 Employment 83 3.5 6.4 92.9 Income $1,358,962 $139,571 $150,679 $1,649,212 Mining (+) Output $22,181,952 $3,654.621 $1,558,958 $27,395,531 Employment 53 20.5 19.6 93.1 Income $3,851,896 $958,312 $458,294 $5,268,501 Manufacturing (-) Output $588,387,648 $100,257,774 $60,438,499 $749,083,942 Employment 875 522.2 758 2,155.8 Income $147,530,896 $26,629,179 $17,762,324 $191,922,404 Construction (+) Output $5,015,053 $730,655 $531,382 $6,277,090 Employment 32 10.2 6.7 48.9 Income $1,300,606 $315,171 $156,203 $1,771,980 65
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Final Report to the Texas Coastal M
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5.2.2. Sources / Data .............
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Executive Summary The San Antonio B
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ecotourism included in the model. T
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1. Overview of San Antonio Bay Regi
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and shellfish species and estuarine
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According to the Rockport-Fulton Ch
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effect is limited by assimilative c
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freshwater inflow acts as a mechani
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sulfide. Heavy metals bounds to sed
Page 21 and 22: inflow levels and populations of se
Page 23 and 24: and could potentially make the cran
Page 25 and 26: 3. Characterization of Ecotourism i
Page 27 and 28: Contributes actively to the conserv
Page 29 and 30: Figure 3-1. Public Protected Areas
Page 31 and 32: 1987 and then purchased in 1991. Pr
Page 33 and 34: 3.3.2. The Economics of Multiple Na
Page 35 and 36: Table 3-2. Average Willingness to P
Page 37 and 38: Table 3-3. Personal Income and Prod
Page 39 and 40: impact. It is necessary to conduct
Page 41 and 42: 4.2. Key Site Details for the Analy
Page 43 and 44: approach allows examination of ques
Page 45 and 46: This average number of trips from t
Page 47 and 48: occasional flood and drought events
Page 49 and 50: The results of the regression yield
Page 51 and 52: gallons, which results in a value o
Page 53 and 54: Aransas distinguishes itself from C
Page 55 and 56: thresholds vary according the size
Page 57 and 58: The total number of full-time and p
Page 59 and 60: The County also shows a lower educa
Page 61 and 62: Refugio shows a rapid decrease in t
Page 63 and 64: IM t+ n ic = E t ic ⎡⎛ E × ⎢
Page 65 and 66: included an economic analysis of th
Page 67 and 68: Table 5-5. Employment Shift-Share A
Page 69 and 70: Fishing and related activities. The
Page 71: Figure 5-15. Employment change by s
Page 75 and 76: Calhoun Calhoun County’s experien
Page 77 and 78: an advantage, particularly in oyste
Page 79 and 80: Impacts on the Freshwater Inflows t
Page 81 and 82: However, due to the lack of consist
Page 83 and 84: This implicitly assumes that flows
Page 85 and 86: for fresh product. This fishery wil
Page 87 and 88: Elliot, D. (2007). Competitive Adva
Page 89 and 90: Pearce, D. W. (1994). The MIT Dicti
Page 91 and 92: The Nature Conservancy. (2002). "Na
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