Closing information asymmetries: A scale agnostic approach for exploring equity implications of broadband provision

A persistent challenge for telecommunications policy is the determination of broadband provision footprints in both space and time. In the United States, Form 477 data from the Federal Communications Commission (FCC) provide a valuable snapshot of broadband provision at the block level, but there are often inconsistencies with the underlying data. These inconsistencies include overly-optimistic self-reports from providers, requirements to report broadband provision within inflexible census administrative units, and a modest temporal reporting schedule (biannual) with a significant, one year temporal lag. These uncertainties are often compounded by telecommunications providers refusing to disclose any information on service footprints, geographic expansion plans or the characteristics of populations served by broadband. This type of obfuscation drastically limits the ability of policy analysts to evaluate outcomes (both positive and negative) associated with service provision and the digital divide, more generally. With the recent entry of Google Fiber to several metropolitan markets in the United States, many of the broadband reporting and evaluation challenges have re-emerged. The purpose of this paper is to leverage basic data mining techniques, a scale agnostic geographic framework and exploratory spatial data analysis (ESDA), to uncover the geographic intricacies of Google Fiber (Fiber) service for both Provo, Utah and Austin, Texas and compare them to Form 477 reports. In addition, we use basic statistical approaches to explore issues of broadband access and equity, accounting for the differences in socio-economic and demographic status of the populace served/not served for both cities, as well as basic pricing within and between communities.     

Implications of accurate usage of nutrition facts panel information for food product evaluations and purchase intentions

The nutrition facts panel on food packages was designed to provide comprehensible quantitative nutrition information that would allow consumers to make more informed food choices that could result in significant long-term health benefits. This study (1) examines how accurately consumers can use nutrient information in the facts panel to determine if a product has more or less than the recommended daily values of certain nutrients and (2) offers predictions and tests of the relationships between this usage ability and product nutrition evaluations and purchase intentions. Results show that more accurate use moderates the effect of product nutrition value on consumer evaluations, as predicted. Findings also reveal that several variables (e.g., measures of nutrition knowledge, attitude toward the “facts” label) are related to accuracy in the usage task. Implications based on these findings are offered. Scot Burton is a professor and Wal-Mart chairholder in the Department of Marketing and Transportation at the University of Arkansas. His research interests include public policy and consumer welfare concerns, consumer price and promotion perceptions, and survey research measurement issues. His work has been published in theJournal of Marketing, Journal of Marketing Research, Journal of Consumer Research, Journal of the Academy of Marketing Science, Public Opinion Quarterly, Journal of Applied Psychology, and other journals. Judith A. Garretson is a Ph.D. candidate in the Department of Marketing and Transportation at the University of Arkansas. Her research interests include promotion issues public policy and consumer welfare, and consumer behavior in general. Her work has appeared in journals including theJournal of the Academy of Marketing Science, Journal of Public Policy & Marketing, and theJournal of Professional Services Marketing, as well as in conference proceedings such as the American Marketing Association and the Association for Consumer Research. Anne M. Velliquette is a Ph.D. candidate in the Department of Marketing and Transportation at the University of Arkansas. Her research interests include consumer behavior and public policy. She has published in theJournal of Public Policy & Marketing, Journal of Professional Services Marketing, and proceedings of the Association for Consumer Research as well as other conference proceedings and journals.     

Are returns to research quality lower in agricultural economics than in economics?

We compare effects of research quality and quantity on the salary of academics in agricultural economics and economics departments of the same universities. Agricultural economists get a significantly lower payoff to research quality, whether measured by quality‐weighted journal articles (based on nine different weighting schemes) or by citations. Instead, salary depends on the quantity of journal articles, while article counts have no independent effect on economist salaries. These differences in the reward structure for research are not due to either the extension focus of agricultural economists or to disciplinary differences in publishing with students and instead may reflect institutional factors that govern incentives within universities. One‐third of academics in the agricultural economics departments studied here have doctoral training in economics; the very different disciplinary reward structures may cause frustration for these faculty due to the muted returns to research quality that agricultural economics departments seem to offer.     

“Resistance is futile”: estimating the costs of managing herbicide resistance as a first‐order Markov process and the case of U.S. upland cotton producers

A 2012 survey of upland U.S. cotton producers was analyzed to determine the factors contributing to changes in weed management costs (WMCs) after the identification of herbicide‐resistant weeds. An ordered probit regression estimated changes in WMC as a first‐order Markov process. The most important determinants of post‐resistance cost increases were initial WMCs, adoption of labor‐intensive remedial practices, and wick application of herbicides. Cultivation and mechanical/chemical‐intensive practices did not increase WMCs. Post‐resistance changes in WMC ranged between $85 and $138 ha^?1, depending on the practices adopted. WMCs increased by $88 ha^?1 when cost‐neutral practices were adopted. The in‐sample aggregate costs of managing herbicide resistance ranged between $25 and $53 million, depending on the types of adopted practices.     

Factors influencing adoption of conservation tillage in Australian cropping regions*

The purpose of this research is to improve understanding of conservation tillage adoption decisions by identifying key biophysical and socio‐economic factors influencing no‐till adoption by grain growers across four Australian cropping regions. The study is based on interviews with 384 grain growers using a questionnaire aimed at eliciting perceptions relating to a range of possible long‐ and short‐term agronomic interactions associated with the relative economic advantage of shifting to a no‐tillage cropping system. Together with other farm and farmer‐specific variables, a dichotomous logistic regression analysis was used to identify opportunities for research and extension to facilitate more rapid adoption decisions. The broader systems approach to considering conservation tillage adoption identified important determinants of adoption not associated with soil conservation and erosion prevention benefits. Most growers recognised the erosion‐reducing benefits of no‐till but it was not an important factor in explaining whether a grower was an adopter or non‐adopter. Perceptions associated with shorter‐term crop production benefits under no‐till, such as the relative effectiveness of pre‐emergent herbicides and the ability to sow crops earlier on less rainfall were influential. Employment of a consultant and increased attendance of cropping extension activities were strongly associated with no‐till adoption, confirming the information and learning‐intensive nature of adopting no‐till cropping systems.     

Optimal Rationing Policies and Production Quantities for Products with Several Demand Classes

This paper considers a situation in which several distinct classes of customers exist for a single product or service in a fixed, finite planning period. If such a product is also perishable and if backlogging is not permitted, it may sometimes be worthwhile to reject “low-revenue customers” upon arrival, depending on the number of units on hand and time left until the end of the period. The objectives of this study are to derive optimal rationing policies at any state of the planning period and to formulate a procedure for calculating the optimal production quantity at the beginning of the period for various cost (production) functions, given that an optimal rationing policy is to be followed. The approach used is backward-recursion dynamic programming. Résumé Ce mémoire examine une situation dans laquelle plusieurs classes distinctes de clients existent pour un seul produit ou service au cours d'une période de planification déterminée. Si cette denrée est également périssable et que le stockage n'est pas permis, il est parfois avantageux de rejeter les “clients à bas revenus,” tout dépendant du nombre d'unités en main et du temps qui reste avant la fin de la période. Les objectifs de l'éude visent à créer des politiques de rationnement optimal au cours de la période de planification et de formuler une méthode de calcul des quantités optimales de production en début de période relativement à plusieurs fonctions relatives au coǔt (production), compte tenu de l'application d'une politique de rationnement optimal. Il s'agit ici de programmation dynamique à récursivité rétrograde.     

Dual-class share structure and innovation

Using a sample of dual-class firms matched with single-class firms possessing similar antitakeover protection, we find a positive association between disproportionate insider control and patent output, quality, creativity, research and development efficiency, and chief executive officer innovative risk taking. We also find, however, that the positive effects of disproportionate control on innovation are concentrated in financially constrained firms and firms in highly competitive industries, and that the positive effects dissipate within 10 years after the initial public offering. Most important, the positive effect of dual-class structures for innovation is conditional on the presence of innovative insiders in the firm. These findings imply that entrenchment through concentrated control in the hands of uniquely innovative corporate insiders provides a positive environment for innovativeness beyond the entrenchment effects of alternative antitakeover measures.     

Policy preferences of experts seeking to raise and stabilise farm incomes in the Eastern Gangetic Plains

Poverty is endemic in the highly populated Eastern Gangetic Plains where agriculture is critical to more than half the population. However, the mechanisms to support agriculture for development are contested. For example, some have advocated a strong role for government support and assistance due to market weaknesses, while others have promoted the need for more market-oriented approaches. We use an elicitation process focussed on expert policymaking communities, employing stated preference techniques to explore these options. Differences in perceptions about the effectiveness of policies and their delivery are reported between countries, while also empirically examining the influence of the respondents' organisational background. The results show support for policies that improve farmers' access to inputs, especially when delivered by private sector actors. The research provides an important contribution to the literature on policies for agricultural development.     

Predicting long-run risk factors of stock returns: Evidence from Australia

This study utilises the stock market data provided by the Australian Equity Database to analyse the long-run relationship between Australian stock returns and key macroeconomic variables over the period 1926–2017. To measure the diverse risk factors in the stock market, we examine the possible determinants in four main categories: real, financial, domestic and international. Our results reveal that historical stock returns are strongly connected to financial and international factors as compared to real and domestic factors. Both the 1973–1974 OPEC Oil Price Crisis and 2007–2008 Global Financial Crisis had dampening effects on stock returns. There is a positive association between the US and Australian stock markets in the long-run. These findings on stock market dynamics and their linkages with domestic and international macroeconomic policy changes in the long-run have important implications for traders and practitioners.