Internal green integration and environmental performance: The predictive power of proactive environmental strategy,greening the supplier,and environmental collaboration with the supplier

The effect of proactive environmental strategies (PES) on corporate performance has been debated extensively among academics; however, the significance of the pathway of those strategies—internal green integration (IGI) through greening the supplier (GTS) and environmental collaboration with suppliers (ECS)—remains undecided. This study examines environmental performance (EP) through GTS, IGI, and ECS. It also examines the direct link between PES and IGI. A conceptual framework was designed following a rigorous review of the literature. A survey questionnaire was used to collect cross-sectional data from a random sample of manufacturing firms, obtaining 196 usable samples. Using AMOS, the structural equal modeling found a positive and significant impact of PES on IGI. Significant predictors of EP were GTS, IGI, and ECS. The findings of the study can provide managers with guidelines for dealing with business and environmental concerns. They can also contribute to creating strategies for environmental protection and management and reducing adverse effects on the environment. Finally, by examining the direct links between GTS, ECS, and EP, particularly in a developing context, the study may contribute to the literature of environmental policy.     

Analyses of technical efficiency using SDF and DEA models: evidence from Nepalese agriculture

Alleviation of poverty is a central issue in Nepal. Given the limited stock of land and the infant/unorganized manufacturing sector, increased demand for food has to be satisfied by improving production efficiency. This article examines how this could be achieved. Stochastic distance function and data envelopment analysis models identify the existence of a high degree of technical inefficiency in Nepalese agriculture, suggesting that there is a substantial prospect of increasing agricultural productivity using the existing level of inputs and resources more efficiently. Among the three farm sizes in the data set, medium size farmers achieve a higher technical efficiency than large and small farm sizes, suggesting that productive efficiency can be increased with the encouragement of creating medium size holdings. The observed decreasing returns to scale also implies that productivity gains could be achieved by breaking up of large farms into small family farms. The technical inefficiency model suggests the potential for shifting the production frontier upwards by providing ownership of land, increasing farmers’ education and knowledge, and increasing land quality, including irrigation facilities.     

Effectiveness of alternative channels of monetary policy transmission: some evidence for India

In this article, we have employed ‘shutdown’ methodology, not used before in the Indian context, to study the relative importance of alternative channels of monetary policy transmission. We have, for the first time, studied the impact of monetary policy on consumer price index (CPI) inflation. In response to a shock to the operating target, the maximum decline in gross domestic product growth occurs with a lag of two to three quarters, while the impact on inflation (both CPI and wholesale price index) is felt with a lag of three to four quarters. The interest rate channel is found to be the most dominant channel of monetary policy transmission in India.     

Livelihood diversification strategies in the Himalayas*

This article examines livelihood diversification strategies of rural households using survey data from the Himalayas. We present and explore an analytical framework that yields different activity choices as optimal solutions to a simple utility maximization problem. By classifying the range of activities of rural households into a few distinct categories based on their profitability and by considering portfolios of farm and non‐farm activities, we provide novel insights into diversification behaviour of rural households. The evidence shows that while the poor are mainly agricultural labourers and work in the low‐return non‐farm sector, the better‐off diversify in high‐return non‐farm activities. As expected, we find strong evidence that education plays a major role in accessing more remunerative non‐farm employment. A somewhat less intuitive finding is that larger household size is associated with higher probability of diversification into the high‐return non‐farm sector. The finding that the farm size is not a constraint to diversification in lucrative non‐farm employment is also surprising. Geographical location plays a role in diversification behaviour of rural households indicating the importance of local context.     

Untangling gender differentiated food security gaps in Bhutan: An application of exogenous switching treatment regression

Using nationally representative data from Bhutan, and applying an exogenous switching treatment regression model, this study assessed the food security status between male‐headed households (MHHs) and female‐headed households (FHHs). The study demonstrates that there is no significant difference between MHHs and FHHs in terms of food security, but when MHHs are compared with de jure FHHs, the food security is significantly lower among the de jure FHHs. The food security gap between MHHs and de jure FHHs is due to the differences in both observable and unobservable characteristics of the households. The food security gap between de facto and de jure FHHs can be explained by the influence of connections and wider access to off‐farm income. Most of the previous studies consider all FHHs as a homogenous entity and ignore the concept of de jure FHHs (i.e., a household run by single, widowed, or divorced woman) and de facto FHHs (i.e., a household where there is a husband, but he is not physically present because of his work off‐farm). As the present research takes this into account, the econometric findings from our study, thus have important implications in formulating special food security policies targeting the most vulnerable FHHs.     

Changing Food Consumption of Households in Developing Countries: A Bangladesh Case

Increasing incomes, urbanization, and population growth are transforming developing countries. This structural transformation is changing lifestyles and consequently food consumption and agri-food systems. The present study uses Bangladesh as a case study, a rapidly growing developing economy in South Asia to examine the changing food consumption pattern. Using information from more than 29,000 households, the present study demonstrates that, with the increase in income and urbanization, this traditional rice-consuming country is increasingly consuming more wheat. The changes in the relative consumption in Bangladesh are prominent both in rural and urban areas. The literature often is based on the premise that with increasing income, households switch from staple cereals to high food-value items. The present study highlights the need to also consider within-staple substitution.     

Farmers' Access to Markets: The Case of Cotton in Pakistan

Using a cross‐sectional primary dataset collected from a survey of 325 farmers in the seven highest cotton‐producing districts of Punjab Province of Pakistan, the present paper examines cotton farmers' market participation decisions, and the factors driving participation, as well as the impact of participation on net returns. Tobit and censored least absolute deviation models were used to estimate the participation of farmers in markets, and the Heckman two‐stage approach and the propensity score matching method were applied to analyze the impact of participation on net returns, taking into account potential selection bias. The empirical results revealed that households with more education, wealth, and better transport facilities are more likely to participate in the markets. As the distance to market increases, households prefer to sell at the farm gate rather than the market. The results also indicated that households that sell their goods at the market obtain higher net returns than those selling at the farm gate.     

Investigating the Effect of Employee Empathy on Service Loyalty: The Mediating Role of Trust in and Satisfaction with a Service Employee

Abstract

This study examines the indirect effect of employee empathy on service loyalty through the intervening effect of trust in and satisfaction with service employees during service interactions. Data were obtained through a self-administered questionnaire from university students. A total of 410 useable responses were used to perform data analysis. Confirmatory factor analysis, structural equation modeling, and bootstrapping for indirect effects were conducted to test the hypotheses. The results show a significant effect of employee empathy on trust in service employee and satisfaction with service employee during customer–employee interactions. Also, satisfaction with a service employee showed a significant effect on service loyalty during service interactions. The study enhances the understanding of empathy within banking services during interactions between service employees and customers. It also provides insights for service managers and frontline service employees on how empathy develops customer’s trust and satisfaction with service employee.     

Does women’s participation in agricultural technology adoption decisions affect the adoption of climate‐smart agriculture? Insights from Indo‐Gangetic Plains of India

Increased participation of women in the agricultural technology adoption decision by farm households is one of the key indicators of gender empowerment in the agricultural sector. This study examines whether women’s participation in the household decision to adopt agricultural technology affects the adoption of climate‐smart agriculture (CSA), using data collected from 1,267 farm households from two Indian states of Bihar and Haryana. When we considered the sex of the household head (using a dummy variable for male‐headed vs female‐headed household) as a basis of analyzing the role of gender in the adoption of CSA, we found that women in Haryana had no role in the adoption of CSA. On the contrary, when we considered women’s participation in technology adoption decisions as a basis of gender analysis, we found that women’s participation in technology adoption decisions in Haryana is much higher as compared to Bihar. Consequently, the likelihood to adopt CSA is higher in Haryana than in Bihar. We also found that wealth, training, and access to extension and market positively influenced CSA adoption. Qualitative analysis shows that women farmers prioritize family food security rather than farm income, and therefore, they are more likely to focus on CSA to ensure food security.