"Maximizing Conservation and In-Kind Cost Share: Applying Goal Programming to Forest Protection"

This research evaluates the potential gains in benefits from using Goal Programming to preserve forestland. Two- and three-dimensional Goal Programming models are developed and applied to data from applicants to the U.S. Forest Service’s Forest Legacy Program, the largest forest protection program in the United States. Results suggest that not only do these model yield substantial increases in benefits, but by being able to account for both environmental benefits and in-kind partner cost share, Goal Programming may be flexible enough to facilitate adoption by program managers needing to account for both ecological and political factors.Goal programming, multi-objective programming, conservation optimization, forest conservation, environmental services, in-kind cost sharing, matching grants

FOREWORD: Special Issue on Experimental Methods in Environmental, Natural Resource, and Agricultural Economics

Agricultural and Food Policy, Environmental Economics and Policy, Institutional and Behavioral Economics, Research Methods/ Statistical Methods,

"Applying Optimization and the Analytic Hierarchy Process to Enhance Agricultural Preservation Strategies in the State of Delaware"

Using agricultural preservation priorities derived from an analytical hierarchy process by 23 experts from 18 agencies in the State of Delaware, this research uses weighted suitability attributes to evaluate the historical success of the State of Delaware’s agricultural protection fund, which spent nearly $100 million in its first decade. This research demonstrates how these operation research techniques can be used on concert to address relevant conservation questions. Results suggest that the state’s sealed-bid-offer auction, which determines the yearly conservation selections, is superior to benefit targeting approaches frequently employed by conservation organizations but is inferior to the optimization technique of binary linear programming that could have provided additional benefits to the state, such as 12,000 additional acres worth an estimated$25 million.Conservation Optimization, Farmland Protection, Analytic Hierarchy Process

Matching Grants and Charitable Giving: Why People Sometimes Provide a Helping Hand to Fund Environmental Goods

Matching grants are a prevalent mechanism for funding environmental, conservation, and natural resource projects. However, economists have largely been silent regarding the potential benefits of these mechanisms at increasing voluntary contributions. To examine the behavioral responses to different match levels, this research uses controlled laboratory experiments with generically framed instructions and introduces a general-form matching-grant mechanism, referred to as the proportional contribution mechanism (PCM). Results show that contributions are positively correlated with both the match and the induced value of the public good even when a dominant strategy is free-riding. An implication of this partial demand revelation result is that manifestations of this type of “helping hand†social preference should be counted in benefit-cost analysis.matching grants, public goods, charitable giving, voluntary contributions, experimental economics, warm glow, helping hand, Environmental Economics and Policy, Public Economics,

Applying Optimization and the Analytic Hierarchy Process to Enhance Agricultural Preservation Strategies in the State of Delaware

Using agricultural preservation priorities derived from an analytical hierarchy process by 23 conservation experts from 18 agencies in the state of Delaware, this research uses weighted benefit measures to evaluate the historical success of Delaware’s agricultural protection fund, which spent nearly $100 million in its first decade. This research demonstrates how these operation research techniques can be used in concert to address relevant conservation questions. Results suggest that the state’s sealed-bid-offer auction, which determines the yearly conservation selections, is superior to benefit-targeting approaches frequently employed by conservation organizations, but is inferior to the optimization technique of binary linear programming that could have provided additional benefits to the state, such as 12,000 additional acres worth an estimated$25 million.conservation optimization, farmland protection, analytic hierarchy process, binary linear programming, Environmental Economics and Policy, Land Economics/Use, Research and Development/Tech Change/Emerging Technologies,

Status-Quo-Bias and Voluntary Contributions: Can Lab Experiments Parallel Real World Outcomes for Generic Advertising?

Many commodities have programs assessing producers for generic advertising. Ads such as "Got Milk?" and the "Incredible Edible Egg" are a public good for producers. Most of these programs originally used the Voluntary Contribution Mechanism, but have now become mandatory because of free-riding. This research simulates both the economic and psychological details of the egg industry in experiments that produce strikingly realistic results. Because mandatory programs have recently been declared unconstitutional, we also the test the Provision Point Mechanism and show that observed low levels of free-riding for both mechanisms are the result of status quo bias.Marketing, H40, H41, M37,

The Value of Private Risk Versus the Value of Public Risk: An Experimental Analysis of the Johannesson et al. Conjecture

In 1996 Johannesson et al. published a paper in this journal entitled “The Value of Private Safety versus the Value of Public Safety.” Based on preliminary evidence from a hypothetical contingent valuation study, these authors argue that consumers behave as “pure altruists” and reject the notion of paternalistic preferences for safety in a coercive tax setting. These pure altruists consider the cost of a program that might be imposed on other voters when they decide whether to vote for or against public safety programs. The authors conclude that further empirical research in this area is warranted. This paper presents a set of laboratory economics experiments to test Johannesson et al.’s conjecture under controlled conditions in which participants face an actual risk of financial loss. The laboratory results extend those of Johannesson et al., providing strong evidence of pure altruism but limited support for paternalistic altruism for risk.Altruism, risk, voting, public goods, Research Methods/ Statistical Methods, Risk and Uncertainty, D81, D64, H41, C91, C92, D72,

Do rBST-Free and Organic Milk Stigmatize Conventionally Produced Milk?

Producers are continually seeking to differentiate their products in the marketplace. A common approach is via labeling where differences in production methods are marketed. Yet, positive labeling for the new product has the potential to stigmatize the conventionally produced product by highlighting perceived problems with the product. The net economic result can be negative to producers as the conventional product that dominates the market is stigmatized by the new product that has little market share, and this leads to consumers decreasing their willingness to pay for the conventional product. This experimental research identifies this stigma effect in the case of milk, where the presentation of rBST-Free milk reduces consumers' willingness to purchase conventional milk.Demand and Price Analysis,

"Cost Effective Conservation Planning: Twenty Lessons from Economics"

Economists advocate that the billions of public dollars spent on conservation should be allocated to achieve the largest possible social benefit. This is what we term “cost-effective conservation”-- a process that incorporates both benefits and costs that are measured with money. This controversial proposition has been poorly understood and not implemented by conservation planners. Drawing from evidence from the largest conservation programs in the United States, this paper seeks to improve the communication between economists and planners and overcome resistance to cost-effective conservation by addressing the open questions that likely drive skepticism among non-economists and by identifying best practices for project selection. We first delineate project-selection strategies and compare them to optimization. Then we synthesize the body of established research findings from economics into 20 practical lessons. Based on theory, policy considerations, and empirical evidence, these lessons illustrate the potential gains from improving practices related to cost-effective selection and also address how to overcome landowner-incentive challenges that face programs.conservation planning, cost-effectiveness, nonmarket valuation, benefit cost targeting, optimization, prioritization