Targeting Conservation Investments in Heterogeneous Landscapes: A Distance-Function Approach and Application to Watershed Management

To achieve an environmental objective at least cost, decision makers must integrate information about spatially variable biophysical and economic conditions. Although the biophysical attributes that contribute to an environmental outcome are often known, the way in which these attributes interact to produce the outcome is often unknown. We introduce a nonparametric conservation targeting approach that relies on distance functions to cost-efficiently allocate conservation funds. We apply the approach empirically to the case of conservation contracting for water-quality objectives. The contract portfolios derived from the application have many desirable properties, including intuitive appeal and robust performance across plausible parametric scoring measures.     

Voluntary development of environmental management systems: motivations and regulatory implications

Encouraging firms to develop voluntarily more comprehensive environmental management systems (EMSs) is touted as a policy tool to augment mandatory environmental regulations. Using a unique dataset of environmental management practices of Japanese manufacturers and controlling for self-selection bias in survey responses, we find that proxies for regulatory pressures and consumer pressures are the most important factors that motivate firms toward more comprehensive EMSs. Despite the oft-claimed “voluntary” nature of EMS development, our results show that the government may have a role to play in both directly and indirectly affecting EMS development by firms.      

Environmentally conscious consumption: The role of retailers and peers as external influences

Environmentally conscious consumption is one of the key concerns in modern society generally, and increasingly among the consumer population. However, consumers often overstate their willingness to purchase environmentally conscious products, with global purchasing of these products relatively low. Much research has considered the role of drivers internal to an individual in making such consumption choices; however there is less knowledge as to how external influences may impact environmentally conscious consumption behaviour. As retailers increasingly strive to adopt and communicate their environmentally sustainable business practices, and encourage parallel consumer behavior, the question arises: what role do retailers play in influencing consumers’ environmentally conscious consumption? In this paper we investigate this notion, specifically how external influences (the retailer and peers) impact environmentally conscious behavior. We investigate this behavior in terms of two outcomes; sustainable consumption (direct costs) and willingness to accept environmental taxes (indirect costs). Our research demonstrates that retailers can influence consumers to be more environmentally conscious in their consumption, with retailer influence a stronger mediator than peers in this relationship. One important implication of this research is that retailers have the opportunity to shape environmentally conscious consumption if they adopt sustainable business practices.     

The Persistent Impacts of Norm-Based Messaging and Their Implications for Water Conservation

Although an increasing number of studies have demonstrated the short-term impacts of behavioral nudges to achieve public policy objectives, less is known about their longer-term impacts. In a randomized experimental design with over 100,000 households, we study the longer-term impacts of a one-time behavioral nudge that aimed to induce voluntary reductions in water use during a drought. Combining technical information, moral suasion, and social comparisons, the nudge has a surprisingly persistent effect. Although its effect size declines by almost 50% after 1 year, it remains detectable and policy-relevant six years later. In fact, the total reduction in water use achieved after the 4-month period targeted by the intervention is larger than the total reduction achieved during the target period. Further analysis suggests that the intervention works through both short-lived behavioral adjustments and longer-lived adjustments to habits or physical capital. Treatment effects are not detectable in homes from which the treated consumers have moved, which provides suggestive evidence that these longer-lived adjustments are mobile rather than incorporated into the housing stock. The persistence of the effect makes the intervention more cost-effective than previously assumed (cost drops by almost 60%). Nevertheless, water utilities may find this persistence undesirable if the nudges are intended to have only a short-run effect on demand during environmental emergencies.     

Research note: social leisure engagement,peer support,and depressive symptomology among emerging adults

This research note applied self-determination theory to the study of social leisure and well-being among collegiate emerging adults. Self-determination theory posits that individuals seek out environments that promote basic psychological needs; among these needs is the need for relatedness. We examined the relationship between social leisure engagement (conceptualised as an environment that promotes connections to others) and emerging adults’ depressive symptomology. More specifically, we hypothesised that this need-supportive environment would be related to higher levels of peer support (a form of relatedness) and would promote better mental health. Participants (N = 270) were between the ages of 18 and 25. Using path models, we found that there was a significant negative relationship between social leisure engagement and depressive symptomology. Furthermore, peer support served as a significant linking mechanism between social leisure and depressive symptomology. Results provide evidence for the application of self-determination theory to the study of social leisure engagement as a need-supportive environment that can facilitate relatedness and better mental health among emerging adults.     

Protecting Ecosystems and Alleviating Poverty with Parks and Reserves: ‘Win-Win’ or Tradeoffs?

National parks and reserves are globally popular approaches to protecting biodiversity and the supply of ecosystem services. Because these protected areas limit agricultural development and exploitation of natural resources, they are frequently opposed in developing nations where reducing poverty is an important social objective. Conservation advocates argue that protected areas can alleviate poverty by supplying ecosystem services, promoting tourism and improving infrastructure. Thus ‘win-win’ scenarios may be possible in which ecosystems and their services are protected and poverty is alleviated. Previous studies (Andam et al. in Proc Natl Acad Sci USA 105(42):16089–16094 2008; 2010) suggest that Costa Rica’s protected area system reduced deforestation and alleviated poverty. We demonstrate that these environmental and social impacts were spatially heterogeneous. Importantly, the characteristics associated with the most avoided deforestation are the characteristics associated with the least poverty alleviation. In other words, the same characteristics that limited the conservation effectiveness of protected areas may have improved the social welfare impacts of these areas. These results suggest that ‘win-win’ efforts to protect ecosystems and alleviate poverty may be possible when policymakers are satisfied with low levels of each outcome, but tradeoffs exist when more of either outcome is desired.     

A multiple linear regression model for imprecise information

In standard regression analysis the relationship between the (response) variable and a set of (explanatory) variables is investigated. In the classical framework the response is affected by probabilistic uncertainty (randomness) and, thus, treated as a random variable. However, the data can also be subjected to other kinds of uncertainty such as imprecision. A possible way to manage all of these uncertainties is represented by the concept of fuzzy random variable (FRV). The most common class of FRVs is the LR family (LR FRV), which allows us to express every FRV in terms of three random variables, namely, the center, the left spread and the right spread. In this work, limiting our attention to the LR FRV class, we consider the linear regression problem in the presence of one or more imprecise random elements. The procedure for estimating the model parameters and the determination coefficient are discussed and the hypothesis testing problem is addressed following a bootstrap approach. Furthermore, in order to illustrate how the proposed model works in practice, the results of a real-life example are given together with a comparison with those obtained by applying classical regression analysis.     

Know Thyself: Competence and Self-awareness

Economic analysis of asymmetric information typically starts with the assumption that individuals know more about their own characteristics than outside observers. This assumption implies that individuals can accurately assess their own competence in a given domain. However, individuals can only judge their competence if they are sufficiently competent. Results from field experiments contradict predictions from economic theories that assume self-aware agents, but are consistent with predictions from theories that incorporate a positive correlation between competence and self-awareness in a given domain. This correlation explains some of the overconfidence observed among economic agents and implies a structure on decision errors that can be exploited to make novel predictions in important areas of economics.