東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Using trading ratios to correct for ...

Liu, Wenbo.

Linked to FindBook

Google Book

Amazon

博客來

Using trading ratios to correct for systematic selection in performance-based water quality trading programs.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Using trading ratios to correct for systematic selection in performance-based water quality trading programs./
Author:	Liu, Wenbo.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2015,
Description:	51 p.
Notes:	Source: Masters Abstracts International, Volume: 55-03.
Contained By:	Masters Abstracts International55-03(E).
Subject:	Agricultural economics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10014937
ISBN:	9781339488653

Using trading ratios to correct for systematic selection in performance-based water quality trading programs.
Liu, Wenbo.

Using trading ratios to correct for systematic selection in performance-based water quality trading programs. - Ann Arbor : ProQuest Dissertations & Theses, 2015 - 51 p.

Source: Masters Abstracts International, Volume: 55-03.

Thesis (M.S.)--University of Delaware, 2015.

Scientific-based water quality models are used in water quality trading programs to assess nutrient loadings. Maryland Nutrient Trading Tool (MDNTT) calculates loading reductions on a land use, land cover map of all fields in the Maryland and Delaware portion of the Chesapeake Bay Watershed for a host of potential best management practices (BMPs). However, uncertainty remains. This work hypothesizes that the BMP projects with largest overestimated abatement error would be supplied first into trading program, which is called as a "first-worst" selection. An algorithm is developed to perform the simulation of abatement error and four alternative systematic selection mechanisms: "first-worst" selection, "first-best", acreage targeting and benefits targeting. There are 100 treatments consisting of 10 possible levels of abatement heterogeneity and 10 possible levels of budget. The rule of prioritization of the four mechanisms is different. The outputs of the simulation experiment are the sum of error, the proportion of error of selected projects, and the predicted values of the percentage of error from nonlinear model estimation. As for "first-worst" selection, the results show that there is a convex relationship between error and the budget ratio. Holding heterogeneity constant and in each level of heterogeneity, total error of selected projects will increase as the budget ratio increase from 10% to 50%, reaching the peak value, and then it will decrease as budget ratio continues to rise. Holding the budget constant, the error will experience an unstable growth as heterogeneity increases. The results offer an empirical estimate of how best to vary trading ratios. When it comes to "first-best" selection, the results show that under the largest level of abatement heterogeneity and in a thin market, there is 50% more abatement than the estimates. This indicates that if policymakers can target those underestimated projects, they can expect more abatement than estimation with just a small amount of budget. However, trading cannot achieve the "first-best" solution due to the information asymmetry. The results of two targeting strategies show that benefit targeting can be regarded as a "second-best" solution.

ISBN: 9781339488653Subjects--Topical Terms:

3172150
Agricultural economics.

Using trading ratios to correct for systematic selection in performance-based water quality trading programs.
LDR:03129nmm a2200277 4500 001 2120886
005 20170724102923.5
008 180830s2015 ||||||||||||||||| ||eng d
020 $a 9781339488653
035 $a (MiAaPQ)AAI10014937
035 $a AAI10014937
040 $a MiAaPQ $c MiAaPQ
100 1 $a Liu, Wenbo. $3 3282850
245 1 0 $a Using trading ratios to correct for systematic selection in performance-based water quality trading programs.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2015
300 $a 51 p.
500 $a Source: Masters Abstracts International, Volume: 55-03.
500 $a Adviser: Joshua M. Duke.
502 $a Thesis (M.S.)--University of Delaware, 2015.
520 $a Scientific-based water quality models are used in water quality trading programs to assess nutrient loadings. Maryland Nutrient Trading Tool (MDNTT) calculates loading reductions on a land use, land cover map of all fields in the Maryland and Delaware portion of the Chesapeake Bay Watershed for a host of potential best management practices (BMPs). However, uncertainty remains. This work hypothesizes that the BMP projects with largest overestimated abatement error would be supplied first into trading program, which is called as a "first-worst" selection. An algorithm is developed to perform the simulation of abatement error and four alternative systematic selection mechanisms: "first-worst" selection, "first-best", acreage targeting and benefits targeting. There are 100 treatments consisting of 10 possible levels of abatement heterogeneity and 10 possible levels of budget. The rule of prioritization of the four mechanisms is different. The outputs of the simulation experiment are the sum of error, the proportion of error of selected projects, and the predicted values of the percentage of error from nonlinear model estimation. As for "first-worst" selection, the results show that there is a convex relationship between error and the budget ratio. Holding heterogeneity constant and in each level of heterogeneity, total error of selected projects will increase as the budget ratio increase from 10% to 50%, reaching the peak value, and then it will decrease as budget ratio continues to rise. Holding the budget constant, the error will experience an unstable growth as heterogeneity increases. The results offer an empirical estimate of how best to vary trading ratios. When it comes to "first-best" selection, the results show that under the largest level of abatement heterogeneity and in a thin market, there is 50% more abatement than the estimates. This indicates that if policymakers can target those underestimated projects, they can expect more abatement than estimation with just a small amount of budget. However, trading cannot achieve the "first-best" solution due to the information asymmetry. The results of two targeting strategies show that benefit targeting can be regarded as a "second-best" solution.
590 $a School code: 0060.
650 4 $a Agricultural economics. $3 3172150
690 $a 0503
710 2 $a University of Delaware. $b Economics. $3 2095908
773 0 $t Masters Abstracts International $g 55-03(E).
790 $a 0060
791 $a M.S.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10014937