Heterogeneity in male and female farmers’ preference for a profit-enhancing and labor-saving technology: The case of Direct-Seeded Rice (DSR) in India

Labor-saving and income-increasing technologies may affect women farmers differently from men. However, very few studies explicitly account for women's preferences for new technologies. We carried out a discrete choice experiment with 337 female and 329 male farmers in Maharashtra, India, to measure their willingness to pay (WTP) for direct-seeded rice (DSR) with drum seeder and to understand the gender differences in marginal valuations of key attributes. We used the Women's Empowerment in Agriculture Index (WEAI) to collect self-reported data on the role and say of women in different domains of decision making. The respective gender roles of women and men in the family and on the farm are aligned with their preferences. Men have a greater say over how the family spends the cash. Accordingly, men tend to have a higher WTP for attributes that increase income (increase in yield) or reduce cash costs (reduction in seed rate). Women contribute a large share of the labor for transplanting rice, much of which is unpaid work on family farms. Women, therefore, seem to value labor saving more. Women in our sample were more interested in the new technology and had a higher WTP for it.     

Impact of Crop Diversification on Rural Poverty in Nepal

Crop diversification into high‐value crops (HVCs) can be an important strategy to augment income, generate employment, and reduce poverty in developing countries. We study the impact of crop diversification (share of production value obtained from the HVCs) on household (HH) welfare measures in Nepal. We use three rounds of the nationally representative Nepal Living Standard Surveys: NLSS I (1994/95), NLSS II (2004/05), and NLSS III (2010/11). The dose–response function, propensity score matching, and instrumental variable techniques are used to estimate the impact of crop diversification. Results show the positive impact of HVCs on the monthly per capita consumption expenditure and poverty outcomes. Among HVCs growers, HHs growing vegetables have the better welfare outcomes. While establishing the relationship between degree of agricultural diversity and poverty measures, we find that the marginal farmers need to at least derive 35% of the share of revenue from HVCs to escape from poverty.     

Institutional versus non-institutional credit to agricultural households in India: Evidence on impact from a national farmers’ survey

A goal of agricultural policy in India has been to reduce farmers’ dependence on informal credit. To that end, recent initiatives are focused explicitly on rural areas and have a positive impact on the flow of agricultural credit. Despite the significance of the above initiatives in enhancing the flow of institutional credit to agriculture, the links between institutional credit and net farm income and consumption expenditures in India are not very well documented. Using large, national farm household level data and IV 2SLS estimation methods, we investigate the role of institutional farm credit on farm income and farm household consumption expenditures. Findings show that, in India, formal credit does indeed play a critical role in increasing both net farm income and per capita monthly household expenditures of Indian farm families. Finally, we find that, in the presence of formal credit, social safety net programs like the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) may have unintended consequences. In particular, MGNREGA reduces both net farm income and per capita monthly household consumption expenditures. On the other hand, in the presence of formal credit, the Public Distribution System may increase both net farm income and per capita monthly household consumption expenditures.     

Green intellectual capital and ambidextrous green innovation: The impact on environmental performance

This study relies on a unique synthesis of ambidexterity theory and the natural resource orchestration approach to investigate how green intellectual capital elements, namely green human, structural, and relational capital, along with ambidextrous green innovation, trigger a synergy in favor of environmental performance. In particular, this paper primarily aims to test the mediating role of ambidextrous green innovation in the relationship between green intellectual capital and environmental performance. Based on a survey of 105 Iranian public listed companies, the results indicate that green intellectual capital elements are not directly associated with environmental performance. Instead, they influence environmental performance only through the channel of ambidextrous green innovation as a mediating variable. This is the first study to simultaneously embed the resource orchestration theory in the green intellectual capital and ambidexterity literature. The findings of the current study offer new insights into the issue of how organizations gain maximum benefit from the orchestration of their various green assets and capabilities, including green intellectual capital and ambidextrous green innovation.     

Landowner knowledge and willingness to supply woody biomass for wood-based bioenergy: Sample selection approach

Nonindustrial private forest (NIPF) landowners’ willingness to harvest woody biomass for wood-based bioenergy is important if sustainable feedstock supplies are to be realized in the U.S. However, a significant number of them do not know that unused logging residues could be used to produce wood-based bioenergy. Therefore, this study analyzed landowner willingness to harvest woody biomass in Mississippi contingent upon their knowledge of wood-based bioenergy. The requisite data were analyzed in accordance with the Heckman approach. Results indicated that elderly, male, and resident landowners, having larger tracts of pine plantations were more likely to be aware of wood-based bioenergy. The results further revealed the need for bioenergy related extension education focusing on female landowners and those having small tracts of forest land.     

Weak and strong multimarket bidding rings

We consider bidders who are simultaneously participating in private value second-price sealed bid auctions in multiple markets. While active in each market, each bidder is associated with a unique home market in which it can potentially serve as a ring center. Pairs of bidders can establish bilateral agreements to be members of bidding rings in each others’ home markets. Rings can be weak or strong depending respectively on whether side payments are permitted or not. Weak multimarket rings have been shown to take the form of exclusive groups of completely connected bidders. We consider strong multimarket bidding rings and show that they assume a radically different architecture of dominant groups, stars, and interlinked stars. Since bidding rings are tacit, and therefore unobservable, we develop observable implications of multimarket rings that can detect the existence of collusion as well as its form (i.e., weak or strong).     

An Alternative Lens for Understanding Technology Acceptance: An Equity Comparison Perspective

Many studies of technology acceptance have noted that new technology can have far-reaching effects, dramatically changing the environment (e.g., work, home, school) in which we use the technology. The current research considers an equity comparison perspective on technology acceptance and usage in the context of online discussion tools based on the equity implementation model (EIM). The EIM applies equity theory to assess user net outcomes related to adopting new technology in comparison to the net outcomes of other technology stakeholders. Facilitating conditions with the new technology are investigated as a moderating factor on intentions and usage. Equity theory and social comparisons provide an alternative lens for understanding technology acceptance that may capture broader issues related to the changes resulting from new technology. This research describes what we believe to be a first effort to operationalize social comparisons of equity in the context of technology acceptance. A survey instrument measuring social comparisons of net outcomes is developed, and a longitudinal, empirical study is conducted in the context of online discussion forums. The research model is also investigated within a nomological network of technology acceptance constructs. The results indicate that the model provides explanatory power comparable to existing models of technology acceptance and that outcome comparisons provide unique insight beyond known determinants of intentions and usage.     

ACHIEVING HIGHER ORDER CONVERGENCE FOR THE PRICES OF EUROPEAN OPTIONS IN BINOMIAL TREES

A new family of binomial trees as approximations to the Black–Scholes model is introduced. For this class of trees, the existence of complete asymptotic expansions for the prices of vanilla European options is demonstrated and the first three terms are explicitly computed. As special cases, a tree with third-order convergence is constructed and the conjecture of Leisen and Reimer that their tree has second-order convergence is proven.