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.     

Investigating the immediate and long-term effects of job stressors on frontline service employees

Two studies investigate the immediate and long-term effects of job stressors on frontline service employees (FSEs). Using cognitive appraisal theory, we develop and test a conceptual model of two job stressors (crowding and emotional labor) that affect coping strategies and job outcomes. Study 1, which is a field experiment, investigates the immediate effects of crowding in a single firm. Study 2 extends the findings of Study 1 and investigates the long-term effects of emotional labor and crowding on FSEs across multiple firms. The results show that crowding has a negative impact on coping strategies and job-related outcomes. In addition, emotional labor can lead to long-term negative outcomes, such as emotional exhaustion and decreased job retention, for some FSEs. Consequently, service organizations should consider strategies or tactics that prevent high levels of customer crowding and help FSEs deal with emotional labor.     

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     

Purchasing Competence: A Stakeholder‐Based Framework for Chief Purchasing Officers

A specific research stream within the purchasing and supply management literature focuses on the development of purchasing competence frameworks. We apply stakeholder theory and multiple methods of data collection to develop and confirm a hierarchy‐specific purchasing competence management framework for Chief Purchasing Officers and validate it using confirmatory factor analysis on empirical data from 124 multinational companies. The results reveal a significant relationship between Chief Purchasing Officers purchasing management competence and different purchasing performance measures confirming the appropriateness of stakeholder theory for such a competence framework.     

What factors influence buying center brand sensitivity?

Building on information processing theory (IPT), this empirical study investigates the factors that drive a buying center's level of sensitivity to brand information. The authors propose that buying center brand sensitivity is related in a curvilinear fashion with purchase importance and purchase complexity, and that these relationships are moderated by several environmental, firm, and product factors. Data provided by 273 organizational buying center members confirm the presence of an inverse U-shaped relationship between purchase importance and brand sensitivity, strengthened in conditions of high brand presence and high end-customer demand. Purchase complexity and brand sensitivity appear to relate in a U-shaped fashion but only in light of the moderating effects of product tangibility. The relationship between purchase complexity and brand sensitivity appears stronger when buying firms are small and have prior contractual ties with their selling partners. These results offer guidance to managers concerning when business-to-business (B2B) brand investments are likely to offer their greatest return.     

Social contracts,markets and efficiency: Groundwater irrigation in North India

This paper uses primary data to analyze the institutions and informal markets that govern groundwater allocation in a sugarcane-cultivating village in North India. We find that, in contrast to earlier literature, the observed water trades result in efficient water allocation across farms. We interpret this and other stylized facts in terms of a social contract using a simple bargaining model with limited inter-player transfers. Poor functioning of the power sector leads to reduced pumping and a water supply constraint. Simulations show that power supply reform can significantly increase farm yields, and be financed out of increased farm profits.     

Valuation of Landmass Degradation Using Fuzzy Hedonic Method: A Case Study of National Capital Region

A Hedonic model to determine the revealed willingness to pay for landmass of different suitability classes, based on landmass functional characteristics obtained through subjective assessments, is developed for the National Capital Region in India. The inherent non-specificity involved in subjective evaluation is minimized using fuzzy logic based regression technique. The proposed fuzzy regression involves regression using central values of triangular fuzzy number and minimization of non-specificity using linear programming. The revealed willingness-to-pay for landmass of different suitability classes is used for valuation of disbenefits due to urban expansion on landmass of different agricultural suitability classes in National Capital Territory of Delhi. Appropriate pricing policies to prevent the future inappropriate landuse practices are developed using the landmass valuation.     

Differences in consumer perceptions of similarity and dissimilarity

Researchers have usually treated similarity ratings as the simple inverse of dissimilarity ratings. Tversky's theory of perception of similarity and dissimilarity (1977), however, explicitly recognizes that the attributes used in the perception of similarity and the attributes used in the perception of dissimilarity are decidedly different. In fact, the weights assigned to common and distinctive features changes according to the task at hand (i.e., when similarity is to be rated the common features are weighted more, and when dissimilarity is to be rated the distinctive features are weighted more). This study demonstrates these differences in a judgment task of rating similarity and dissimilarity on the basis of data that is external to the subjects.     

Modeling Price Volatility Linkages between Corn and Wheat: A Multivariate GARCH Estimation

The present paper attempts an empirical investigation on price volatility linkages between two important agricultural commodities: corn and wheat, by using a multivariate GARCH-BEKK model. Evidence of bidirectional linkages were found between corn and wheat in terms of returns and volatility. Multivariate conditional Student’s-t distribution results show a unidirectional volatility transmission from corn to wheat. Diagnostic tests reveal that the Student’s-t distribution will better model the volatility of returns when compared to the Gaussian distribution. Overall, the results show that the conditional variances and covariances between agricultural commodity market returns exhibit significant changes over time.