Estimating Technical Efficiency and Production Risk under Contract Farming: A Bayesian Estimation and Stochastic Dominance Methodology

We investigate production risk, technical efficiency and risk attitudes amongst contract and independent farmers. We use a Bayesian parametric approach and stochastic dominance quantile regression methods to compare technical efficiency and risk attitude of smallholders in Nepal. Using farm‐level data, we find that contract farmers appear to show lower inefficiency and lower production risk. Additionally, contract and independent farmers can increase output by reducing the scale of operation. Regardless of the commodity produced and farming arrangement (contract or independent production), we find that labour, land and other inputs are risk‐augmenting, while the role of capital is mixed. We find a second order stochastic dominance (SSD) for lentils, and first order stochastic dominance (FSD) for tomatoes, ginger and HYV paddy seed commodities. Finally, contract farmers are more risk averse than independent farmers, regardless of the commodity produced.     

Predicting Internet banking adoption in India: a perceived risk perspective

The emergence of Internet banking has transformed the banking systems across the globe. As a channel to market, Internet banking allows geographical constraints to be overcome by offering various products and services at lower customer costs. An understanding of the factors influencing customer adoption of Internet banking is both relevant and timely. This study integrates technology acceptance model and perceived risk theory in understanding Internet banking acceptance among Indian bank account holders. Specifically, this study categorizes perceived risk as external risk and internal risk, and examines its influence on customer beliefs and adoption of Internet banking. Using two-step predictive analytics of structural equation modeling and artificial neural network analysis, the 270 responses reveal that both external risk and internal risk inhibit customer acceptance of Internet banking. More importantly, neural network analysis reveals that perceived ease of use and external risk are two important factors determining how well Internet banking is accepted by customers. The implications of the study findings and future research directions are presented.     

Heterogeneity in Food Demand among Rural Indian Households: The Role of Demographics

Food expenditures, influenced by social, demographic, and economic factors, constitute a significant proportion of the typical rural Indian's household income. Based on cross‐sectional household data, this study employs the Quadratic Almost Ideal Demand System to estimate food demand among rural Indian households. Special attention is given to the rural household's two‐stage budgeting in total food expenditure and then to a demand for a specific food item. Conditional and unconditional expenditure and price elasticities for seven food groups are estimated. Results indicate that own‐price elasticities for each group are negative ranging from fairly inelastic to elastic range. Expenditure elasticities indicate that food items are a normal necessity to luxury goods. Additionally, socio‐demographic factors play a significant role in food consumption patterns. Based on our unconditional expenditure elasticities, we also project food demand from rural Indian households for next two decades. Les dépenses alimentaires, qui sont influencées par des facteurs socioéconomiques et démographiques, absorbent une partie considérable du revenu des ménages ruraux typiques en Inde. Dans la présente étude, nous avons utilisé le modèle de demande quasi idéal quadratique pour estimer, à l'aide de données transversales sur les ménages, la demande alimentaire des ménages ruraux en Inde. Nous avons accordé une attention spéciale à la budgétisation en deux étapes des dépenses alimentaires totales et à la demande d'un produit alimentaire particulier du ménage rural. Nous avons estimé les dépenses conditionnelles et inconditionnelles et l’élasticité‐prix de sept groupes alimentaires. Les résultats de notre étude indiquent que l’élasticité‐prix de chaque groupe est négative et qu'elle varie de plutôt inélastique à divers degrés d’élasticité. L’élasticité des dépenses indique que les produits alimentaires varient de nécessités de base à produits de luxe. Les facteurs sociodémographiques jouent également un rôle important dans les habitudes de consommation alimentaire. D'après les élasticités des dépenses établies dans notre étude, nous avons estimé la demande alimentaire des ménages ruraux en Inde pour les deux prochaines décennies.     

Market orientation and customer-based corporate brand equity (CBCBE): a dyadic study of Indian B2B firms

The relationship between market orientation (MO) and one of its most important consequences – firm performance – has received considerable attention in marketing research. Performance has been largely judged through financial or objective measures. This paper connects assimilation of MO in firms with corporate brand performance since academics have not used judgmental or market-based measures in assessing performance. We have introduced customer-based corporate brand equity to obtain a rounded idea of firm performance. This is achieved through a dyadic study, instead of self-assessment, wherein the marketing chiefs of B2B firms and their respective organisational customers are surveyed to gauge the effects of incorporating MO. We have shown that corporate brand performance is enhanced significantly in the presence of organisational innovativeness. From a practitioner’s perspective, the study details the organisational actions to be taken to assimilate MO and how those can be exploited to enhance corporate brand performance.     

An intelligent and secure system for predicting and preventing Zika virus outbreak using Fog computing

Zika virus is a mosquito-borne disease that spreads very quickly in different parts of the world. In this article, we proposed a system to prevent and control the spread of Zika virus disease using integration of Fog computing, cloud computing, mobile phones and the Internet of things (IoT)-based sensor devices. Fog computing is used as an intermediary layer between the cloud and end users to reduce the latency time and extra communication cost that is usually found high in cloud-based systems. A fuzzy k-nearest neighbour is used to diagnose the possibly infected users, and Google map web service is used to provide the geographic positioning system (GPS)-based risk assessment to prevent the outbreak. It is used to represent each Zika virus (ZikaV)-infected user, mosquito-dense sites and breeding sites on the Google map that help the government healthcare authorities to control such risk-prone areas effectively and efficiently. The proposed system is deployed on Amazon EC2 cloud to evaluate its performance and accuracy using data set for 2 million users. Our system provides high accuracy of 94.5% for initial diagnosis of different users according to their symptoms and appropriate GPS-based risk assessment.     

Sustainability as corporate culture of a brand for superior performance

Sustainability research highlights new challenges and opportunities for businesses. This paper reviews the literature to understand the ability of sustainable green initiatives when practiced as a corporate culture to individually create new opportunities for operations, management and marketing. According to current research, business opportunities exclusively available to different functions of a firm can drive its performance. The role of marketing in the achievement of superior performance by virtue of sustainability practices is also explained by the existing literature. Branding literature, however, fails to explain the influence of a brand on sustainability-driven opportunities available to a firm for superior performance. The objective of this study is to explore if a brand can strengthen the ability of sustainability-based green initiatives of managers to drive opportunities available to a firm for superior performance. A conceptual framework grounded in the triple bottom line theory is presented based on the assumption that brand as a stimulating factor can accelerate the conversion of opportunities available to a business into superior performance. Academic and managerial perspectives have been used to draw upon the implications of the model. Both practitioners and academic researchers will benefit from future research on this topic.     

Political connections and the cost of equity capital

Motivated by recent research on the costs and benefits of political connection, we examine the cost of equity capital of politically connected firms. Using propensity score matching models, we find that politically connected firms enjoy a lower cost of equity capital than their non-connected peers. We find further that political connections are more valuable for firms with stronger ties to political power. In additional analyses, we find that the effect of political connection on firms' equity financing costs is influenced by the prevailing country-level institutional and political environment, and by firm characteristics. Taken together, our findings provide strong evidence that investors require a lower cost of capital for politically connected firms, which suggests that politically connected firms are generally considered less risky than non-connected firms.     

On the size distortion of tests after an overidentifying restrictions pretest

In the linear instrumental variables model, we provide theoretical and Monte Carlo evidence for the size distortion of a two‐stage hypothesis test that uses a test of overidentifying restrictions (OR) in the first stage. We derive a lower bound for the asymptotic size of the two‐stage test. The lower bound is given by the asymptotic size of a test that rejects the null hypothesis when two conditions are met: the test of OR used in the first stage does not reject and the test in the second stage rejects. This lower bound can be as large as 1 ? ε_P, where ε_P is the pretest nominal size, for a parameter space that allows for local non‐exogeneity of the instruments but rules out weak instruments. Copyright © 2011 John Wiley & Sons, Ltd.     

THE IMPACT OF LABOR MARKET REGULATION ON EMPLOYMENT IN LOW‐INCOME COUNTRIES: A META‐ANALYSIS

Controversy over labor market policy often centers on achieving a balance between preventing worker exploitation, and avoiding loss of productivity or employment through excessive regulation. Although the literature documenting the impact of labor market regulation on employment is extensive, there is a dearth of evidence on the impact of such policies in low‐income countries (LICs). Since it is easier for workers, especially women, to slip into the informal sector in LICs, regulations are likely to have stronger impacts on formal employment in these countries (but lower impacts on unemployment). We systematically reviewed available research from countries that are, or were until recently, LICs. Most studies document that more stringent labor regulations are associated with lower formal sector employment and higher informal sector employment. We also conducted a metaregression analysis of the impact of minimum wages on formal and informal employment. After controlling for publication bias, higher minimum wages are associated with lower formal employment and a higher share of informal workers.     

A note on a semiparametric approach to estimating financing constraints in firms

In this paper, we present a novel approach to modeling financing constraints of firms. Specifically, we adopt an approach in which firm-level investment is a nonparametric function of some relevant firm characteristics, cash flow in particular. This enables us to generate firm-year specific measures of cash flow sensitivity of investment. We are therefore able to draw conclusions about financing constraints of individual firms as well as cohorts of firms without having to split our sample on an ad hoc basis. This is a significant improvement over the stylized approach that is based on comparison of point estimates of cash flow sensitivity of investment of the average firm of ad hoc sub-samples of firms. We use firm-level data from India to highlight the advantages of our approach. Our results suggest that the estimates generated by this approach are meaningful from an economic point of view and are consistent with the literature.