Iowa Department of Transportation Fiscal Year 2002 Report of Savings by Using Videoconferencing through Iowa Communications Network to the Iowa General Assembly, 2002

ICN Videoconferencing by the Iowa Department of Transportation

Iowa Department of Transportation Fiscal Year 2003 Report of Savings by Using Videoconferencing Through Iowa Communications Network, Iowa Department of Transportation, December 2003

Iowa DOT savings through use of Iowa Communications Network (ICN)videoconferencing.

Iowa Communications Network, June 30, 2002

State Agency Audit Report

Iowa Communications Network, June 30, 2003

State Agency Audit Report

Iowa Department of Transportation Fiscal Year 2004 Report of Savings by Using Videoconferencing Through Iowa Communications Network, Iowa Department of Transportation, December 2004

Iowa DOT savings through use of Iowa Communcations Network (ICN) videoconferencing

Optimal Usage of De-Icing Chemicals when Scraping Ice, Final Report of Project HR 391, 2003

Optimal Usage of De-Icing Chemicals when Scraping Ice, Final Report of Project HR 391

2004 Annual Report of the Iowa Communications Network, 2004

This is the Annual Report for Fiscal Year 2004 (July 1, 2003-June 30, 2004) for the Iowa Communications Network.

Iowa Communications Network, Independent Auditor's Reports, Basic Financial Statements and Supplementary Information, Schedule of Findings, June 30, 2004

State Agency Audit Report

2005 Annual Report of the Iowa Communications Network

This is the Annual Report for Fiscal Year 2005 (July 1, 2004-June 30, 2005) for the Iowa Communications Network.

Iowa Communications Network Performance Report, FY 2004

Agency Performance Report

Iowa Communications Network Performance Report, FY 2005

Agency Performance Report

Iowa Department of Transportation Report of Savings through use of Iowa Communications Network (ICN), FY 2005

Iowa DOT savings through use of Iowa Communications Network (ICN) videoconferencing

Consumers’ Demand for Pork Quality: Applying Semantic Network Analysis, May 2006

Abstract Consideration of consumers’ demand for food quality entails several aspects. Quality itself is a complex and dynamic concept, and constantly evolving technical progress may cause changes in consumers’ judgment of quality. To improve our understanding of the factors influencing the demand for quality, food quality must be defined and measured from the consumer’s perspective (Cardello, 1995). The present analysis addresses the issue of food quality, focusing on pork—the food that respondents were concerned about. To gain insight into consumers’ demand, we analyzed their perception and evaluation and focused on their cognitive structures concerning pork quality. In order to more fully account for consumers’ concerns about the origin of pork, in 2004 we conducted a consumer survey of private households. The qualitative approach of concept mapping was used to uncover the cognitive structures. Network analysis was applied to interpret the results. In order to make recommendations to enterprises, we needed to know what kind of demand emerges from the given food quality schema. By establishing the importance and relative positions of the attributes, we find that the country of origin and butcher may be the two factors that have the biggest influence on consumers’ decisions about the purchase of pork.

Iowa Communications Network, Independent Auditor's Reports, Basic Financial Statements and Supplementary Information, Schedule of Findings, June 30, 2005

State Audit Reports

Optimal Design of Permit Markets with an Ex Ante Pollution Target, August 2006

In this paper, we examine the design of permit trading programs when the objective is to minimize the cost of achieving an ex ante pollution target, that is, one that is defined in expectation rather than an ex post deterministic value. We consider two potential sources of uncertainty, the presence of either of which can make our model appropriate: incomplete information on abatement costs and uncertain delivery coefficients. In such a setting, we find three distinct features that depart from the well-established results on permit trading: (1) the regulator’s information on firms’ abatement costs can matter; (2) the optimal permit cap is not necessarily equal to the ex ante pollution target; and (3) the optimal trading ratio is not necessarily equal to the delivery coefficient even when it is known with certainty. Intuitively, since the regulator is only required to meet a pollution target on average, she can set the trading ratio and total permit cap such that there will be more pollution when abatement costs are high and less pollution when abatement costs are low. Information on firms’ abatement costs is important in order for the regulator to induce the optimal alignment between pollution level and abatement costs.