How has microcredit supported agriculture? Evidence using panel data from Bangladesh

Improving agricultural productivity has received a greater attention in recent years amid concerns about rising food insecurity, population pressures, and climate change. Many believe that better access to institutional credit, spanning microcredit as well as commercial and agricultural banks, can help rural households smooth risks, and access inputs and other technology to modernize agriculture and improve farm/nonfarm linkages. We use recently augmented household panel data spanning over 20 years in Bangladesh to examine the effects of rural credit expansion (both microcredit and formal bank channels) on outcomes for agricultural households. We find that microcredit has benefited households with lower landownings, raising agricultural income from activities such as livestock rearing that require less land, as well as nonfarm income diversification for all households, but with the strongest effect for landless or near‐landless households. We do not find effects of microcredit on crop income, but do, however, find that reported supply‐side credit constraints significantly lower crop income. Borrowing by both men and women has contributed to nonfarm income growth for marginal farmers, but only men's borrowing has contributed to nonfarm income growth among higher landowning groups.     

Using Domestic Water Analysis to Value Groundwater Recharge in the Hadejia–Jama'are Floodplain, Northern Nigeria

This article values the groundwater recharge function performed by the Hadejia–Jama'are floodplain which is threatened by planned upstream water utilization schemes. Domestic consumption of groundwater resources for households dependent on groundwater resources is analyzed. Three types of households are identified as ( i ) those which collect all their water, ( ii ) those which purchase all their water, and ( iii ) those which both collect and purchase water. A behavioral model using a household production function approach is developed to model water demand and a panel formed by pooling contingent behavior and observed data is used to estimate demand. Welfare changes are calculated based on these estimates and on hypothetical reductions in the groundwater recharge rate.     

Valuing Open Space and Land-Use Patterns in Urban Watersheds

This article presents the results of a hedonic property value analysis for an urban watershed in New Haven County, Connecticut. We use spatially referenced housing and land-use data to capture the effect of environmental variables around the house location. We calculate and incorporate data on open space, land-use diversity, and other environmental variables to capture spatial variation in environmental quality around each house location. We are ultimately interested in determining whether variables that are reflective of spatial diversity do a better job of describing human preferences for housing choice than broad categories of rural versus urban areas. Using a rich data set of over 4,000 houses, we study these effects within a watershed that includes areas of high environmental quality and low environmental quality as well as varying patterns of socioeconomic conditions. Our results suggest that, in addition to structural characteristics, variables describing neighborhood socioeconomic characteristics and variables describing land use and environmental quality are influential in determining human values. We also find that the scale at which we measure these spatially defined environmental variables is important.     

New Product Development Structures: The Effect of Customer Overload on Post-Concept Time to Market

In corporate policy statements, seminars, journal articles—even in television commercials—the message comes through loud and clear: To remain competitive, we must do a better job of listening to our customers. Through close contact with customers, designers can more accurately identify market requirements, quickly refine product specifications, and thus reduce time to market. However, too much customer input can create confusion and duplication of effort, which ultimately increases time to market. In other words, some firms run the risk of over-listening to their customers. In a study of three global players in the electronic component industry, Srikant Datar, Clark Jordan, Sunder Kekre, Surendra Rajiv, and Kannan Srinivasan explore the effects of having too much input from customers. Specifically, they examine the relationship between a company's new product development structure and the volume of customer input, which in turn can affect time to market. The high-tech, fast-cycle firms examined in this study employ two distinct new product development structures: concentrated and distributed. A concentrated structure locates all product designers in one facility. This facilitates cross-product learning among designers, but limits designers' contact with customers and process engineers. A distributed structure disperses new product development among numerous manufacturing sites, giving designers close contact with customers and process engineers. However, a distributed structure limits designers' opportunities for cross-product learning. Analysis of 220 new product efforts reveals that the distributed structure offered a time-to-market advantage as long as these firms efficiently managed the level of customer interaction. When designers received input on the product design from no more than 25 customers, the distributed structure provided shorter time to market than the concentrated structure. Beyond the 25-customer level, time-to-market performance of the distributed structure degraded quickly and at an increasing rate. In such cases, more effective management of customer interaction might allow firms employing a distributed structure to enjoy the benefits not only of customer input, but also of improved coordination between product designers and process engineers.     

Is Irrigation Rehabilitation Good for Poor Farmers? An Impact Evaluation of a Non‐Experimental Irrigation Project in Peru

This paper analyses the effect of a set of irrigation rehabilitation projects conducted over the last 10 years in Peru. The projects were conducted without the aim or the tools for a full‐fledged impact evaluation. Nevertheless, this paper attempts an evaluation through the use of alternative data sources such as household surveys and geographic information, a strategy of identification of beneficiaries and control households based on spatial proximity to the projects’ sites, and an econometric approach consisting of a double‐differencing technique. The empirical analysis is guided and interpreted with the help of a theoretical model that considers the effects of an irrigation project on the distribution of production, employment and income for different types of landowners. The paper concludes that the irrigation projects implemented in Peru had a positive impact on intended beneficiary households, but not in the way it could have been simplistically expected. The project did benefit the poor but not by increasing production in their own small plots but by providing them with better employment opportunities in larger farms.     

Balancing Performance Measures

This paper uses an agency theory model in which the agent's actions are multi-dimensional to analyze the optimal weights to apply to performance measures in a compensation contract. We show how the optimal contract trades off the congruity of the overall performance measure with the desire to minimize the risk imposed upon the agent. In contrast to the single action case, we find that an increase in the sensitivity of a performance measure to an agent's action does not necessarily increase the weight placed on that performance measure, even if that measure is perfectly congruent with the firm's outcome.     

Liquidity commonality and spillover in the US and Japanese markets: an intraday analysis using exchange-traded funds

This article examines the intraday returns and liquidity patterns of the Standard & Poor’s Depositary Receipts (SPY) and the iShares Morgan Stanley Capital International Inc. (MSCI) Japan Index Fund (EWJ). These exchange-traded funds seemingly have very different holdings, namely, US stocks and Japanese stocks. Our findings suggest that some commonality exists in the returns and liquidity of these apparently different assets. First, there are intraday, daily and monthly patterns in the measures of liquidity for both funds. Second, the measures of liquidity are correlated across these two assets. Third, there is evidence of intraday spillover in the mean, volatility and depth from the SPY to the EWJ, but daily spillover is not observed. Our study extends two evolving strands of the literature: the integration of world markets in terms of returns behavior, and the other strand suggests that liquidity may have a systematic, or market-wide, component. This paper provides direct evidence of the integration between the US and Japanese markets because contemporaneous trading prices for the US (SPY) and Japanese (EWJ) indices are employed.