Stochastic Technology, Risk Preferences, and Adoption of Site-Specific Technologies

A model of farmer decision making is developed to determine the extent to which uncertainties about soil fertility and weather affect the value of site-specific technologies (SSTs) using jointly estimated risk and technology parameters. Uncertainty can lead risk-averse farmers to apply more fertilizers and generate more pollution than in the certainty case. Ignoring uncertainty and risk aversion would overestimate the economic and environmental benefits of SSTs and underestimate the subsidy required to induce adoption. Accounting for uncertainties and risk preferences might explain the low observed adoption rates of SSTs. Improving the accuracy of SSTs would increase the incentives for adoption.     

Introduction to the special section on subsistence marketplaces

We provide an introduction to the special issue on subsistence marketplaces. We briefly describe the stream of subsistence marketplaces, and the conference series associated with the call for papers. We provide a brief overview of the diverse set of papers in the special section.     

Mood and Ethical Decision Making: Positive Affect and Corporate Philanthropy

Journal of Business Ethics - This study examines the influence of mood (‘affect’) on corporate philanthropic giving. Drawing on group emotions theory and affect-infused decision theory,...     

Motivations to grow energy crops: the role of crop and contract attributes

Perennial energy crops are a promising source of bioenergy whose production involves production risks, long‐term commitment of land and need for crop‐specific investments without the coverage of crop insurance potentially available for conventional crops. We conduct a choice experiment in five states in the Midwestern and South‐central regions of the U.S. to examine the effect of crop‐contract attributes on the joint discrete‐continuous choice decisions to adopt an energy crop and convert acres to it from a status quo use, while controlling for the effect of various farmers’ risk and time preferences, sociodemographic characteristics, and availability of crop insurance for conventional crops. We find robust evidence that high discount rates, high upfront establishment costs and need for crop‐specific investments create disincentives for adoption and allocation of land to energy crop production. The effects of riskiness of returns and risk aversion are less robust across specifications. The effect of conventional crop insurance on the energy crop adoption decision differs across types of insurance; in particular, farmers with revenue insurance are statistically significantly less likely to adopt an energy crop. Our results have implications for the design of effective contracts and policy incentives to induce the production of energy crops.     

Motivations and Barriers to Corporate Environmental Management

This paper integrates two conceptual frameworks, utility maximization and institutional theory, to analyze voluntary corporate environmental management. The utility maximization or economic approach centers on motivations to decrease cost, increase revenue and improve manager utility. Institutional theory emphasizes how external pressures from market and non‐market constituents shape the firm's environmental efforts. We view the two frameworks as complementary and postulate a model that includes both types of influences. Survey data from six major industries consisting of a diverse set of facilities are used to estimate the effects of economic and institutional factors on a facility's use of environmental practices and pollution‐prevention activities. Our results support the hypothesized model, and show that cost barriers, management attitudes toward environmental stewardship, company ownership and external institutional forces, including competitiveness, investor and regulatory pressures, all affect a facility's environmental practices and pollution prevention activities. Findings suggest that a multifaceted policy strategy is needed to advance corporate environmental management across diverse firms. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment     

Do Inventories Matter in Dealership Markets? Evidence from the London Stock Exchange

Using London Stock Exchange data, we test the central implication of the canonical model of Ho and Stoll (1983) that relative inventory differences determine dealer behavior. We find that relative inventories explain which dealers obtain large trades and show that movements between best ask, best bid, and straddle are highly correlated with both standardized and relative inventory changes. We show that the mean reversion in inventories is highly nonlinear and increasing in inventory levels. We show that a key determinant of variations in interdealer trading is inventories and that interdealer trading plays an important role in managing large inventory positions.     

Anomalies and stock returns: Australian evidence

Prior research has identified the existence of several cross‐sectional patterns in equity returns, commonly referred to as effects. This paper tests for the existence of a number of well‐known effects using data from the Australian equities market. Specifically, we investigate the size effect, book‐to‐market effect, earnings‐to‐price effect, cashflow‐to‐price effect, leverage effect and the liquidity effect. An additional aim of this paper is to investigate the capability of the Fama–French model in explaining any observed effects. We document a size, book‐to‐market, earnings‐to‐price and cashflow‐to‐price effect but fail to find evidence of a leverage or liquidity effect. Although our findings indicate that the Fama–French model can partially explain some of the observed effects, we conclude that its performance is less than satisfactory in Australia.     

Cost-Effective Targeting of Land Retirement to Improve Water Quality with Endogenous Sediment Deposition Coefficients

An integrated framework that combines spatial and biophysical attributes of land with a hydrological model and an economic model is developed to identify cropland for enrollment in the Conservation Reserve Enhancement Program. Sediment deposition coefficients are determined endogenously depending on the land-use decisions on other land parcels. Application of this framework to a watershed in Illinois demonstrates that highly sloping land adjacent to water bodies should be selected for retirement. A marginal value rental payment scheme can achieve program goals of 20% sediment abatement at 39% lower cost than a productivity-based rental scheme.     

Difference of opinion and the cross-section of equity returns: Australian evidence

This paper examines the relationship between difference of opinion among investors and the return on Australian equities. The paper is the first to employ dispersion in analysts' earnings forecasts, abnormal turnover and idiosyncratic volatility as proxies for difference of opinion. We document a negative relationship between difference of opinion and stock returns when dispersion in analysts' forecasts and idiosyncratic volatility are employed as proxies. This result provides support for Miller's (1977) model and is consistent with the findings of Diether et al. (2002). In contrast, we find mixed results when using abnormal turnover to proxy difference of opinion.     

Identifying Key Customers for Novel Industrial Products

Managers responsible for novel industrial products seek to identify their most productive customers promptly, as a basis for deployment of marketing and development resources. Using a trial-and-adoption model, based upon invoice data from sales of novel industrial products over a five-year period, Richard Cardozo, David Smith and Madhubalan Viswanathan show that initial interpurchase interval (the time from initial purchase to first repeat purchase) identifies high-volume customers, no matter when they first purchased. In addition to demonstrating the usefulness of a trial-and-adoption model in analyzing purchases of novel industrial products, this study also describes for the first time four distinct purchase patterns for novel industrial products.