Capturing social network effects in technology adoption: the spatial diffusion of hybrid rice in Bangladesh

In this paper, we demonstrate a method for measuring the effect of spatial interactions on the use of hybrid rice using a unique, nationally representative data set from Bangladesh. In order to circumvent the ‘reflection problem’, we consider an identification and estimation strategy employing a generalised spatial two‐stage least squares procedure with near‐ideal instruments to effectively identify causal influences. Results indicate that neighbour effects are a significant determinant of hybrid rice use. Further, using two specifications of spatial network systems, one based on same‐village membership (irrespective of distance) and the other based on geographical distance (irrespective of village boundary), we demonstrate that a network including nearby hybrid rice adopters is more influential than a network of more distant hybrid rice adopters, and merely having a network with a large number of adopters may be relatively meaningless if they are far away. Furthermore, we show that these network effects are much more important to hybrid cultivation than interactions with agricultural extension officers.     

A cost-plus trap: Pricing heuristics and demand identification

Cost plus pricing is a common pricing heuristic. We investigate whether a firm, following cost plus pricing in a simple environment, will eventually have enough information about demand conditions to switch to an optimization-based pricing approach. We find that with unsophisticated statistical approaches this is unlikely, and even with a Bayesian decision theoretic approach there can be what we call a cost plus trap.     

Myth-busting and entrepreneurship policy: the case of high growth firms

Abstract

Promoting high growth firms (HGFs) has become a strong fixation within enterprise policy. This is a debate article seeking to examine and challenge the mythology perpetuated by policy makers and embedded within high growth entrepreneurship policy frameworks. Within the article we argue that a number of distinctive ‘myths’ have become deeply embedded within these policy frameworks. Such myths have been built on misconceived preconceptions of HGFs, which has resulted in policy-makers taking a myopic view of these firms. A key aim of the paper is to highlight how false perceptions of HGFs translate into inappropriate policy interventions. The paper challenges some of the most commonly held myths about these firms (that they are predominantly young, small, high-tech, VC-backed, university spin-outs, who grow in an orderly organic fashion, operating similarly irrespective of location) and identifies a clear mismatch between how policy makers perceive HGFs and what they actually look like in reality. Suggestions for the design of future policy approaches are forwarded.     

Consumption externalities, rental markets and purchase clubs

Summary. A premise of general equilibrium theory is that private goods are rival. Nevertheless, many private goods are shared, e.g., through borrowing, through co-ownership, or simply because one persons consumption affects another persons wellbeing. I analyze consumption externalities from the perspective of club theory, and argue that, provided consumption externalities are limited in scope, they can be internalized through membership fees to groups. Two important applications are to rental markets and purchase clubs, in which members share the goods that they have individually purchased.Received: 2 June 2003, Revised: 8 March 2004, JEL Classification Numbers: D11, D62.This paper was supported by the U.C., Berkeley Committee on Research, and the Institute of Economics, University of Copenhagen. I am grateful to Birgit Grodal for her collaboration on the theory that underlies this paper, and for her helpful and motivating comments about these particular extensions. I also thank Hal Varian, Doug Lichtman, Steve Goldman, Karl Vind, anonymous referees, and members of the Berkeley Microeconomics Seminar for discussion.     

Testing the Stability of a Production Function with Urbanization as a Shift Factor

Urban economists have long sought to explain the relationship between urbanization levels and output. In this paper we revisit this question and test the long-run stability of a production function including urbanization using non-stationary panel data techniques. Our results show that a long-run relationship between urbanization, output per worker and capital per worker cannot be rejected for either our sample of 30 developing countries or our sample of 22 developed countries. We do find, however, that the sign and magnitude of the impact of urbanization varies considerably across the countries. In addition, we estimate the long-run average effects on GDPW of urbanization and capital. These results offer new insights and potential for dynamic urban models rather than the simple cross-section approach.     

Getting from “just-in-case” to “just-in-time”: Insights from a simple model

Many factory managers are hesitant about implementing a just-in-time system due to concern about the dip in productivity that occurs. Here, a simple analytic model is used to study the trade-off between disruption and learning/improvement on a production line. While simple, the model is shown to capture many of the effects of just-in-time mentioned in the literature.Using insights from the model, an attempt is made to identify those factors to which successful implementation of just-in-time is most sensitive.     

Approaches to the factory of the future. An empirical taxonomy

An empirical analysis of the patterns in which companies invest in advanced manufacturing technologies (AMTs) such as computer-aided design, computer-aided manufacturing, and flexible manufacturing systems is presented. Data for this analysis are gathered from 202 manufacturing plants chosen from industries generally considered to have relatively high investments in technology.Three general types of AMTs are identified from the literature: design, manufacturing, and administrative. Multiple item scales are developed to measure each type of AMT. These scales are shown to be reliable instruments, and are used to develop an empirical taxonomy which validates existing conceptual typologies of AMTs. A cluster analysis reveals four distinct groups of companies with respect to their approaches toward investing in AMTs. TRADITIONALISTS do not invest heavily in any of the three types of AMTs. GENERALISTS have moderate investments in each technology type. HIGH INVESTORS have the highest investment in each of the three technology types. The most interesting group may well be the DESIGNERS, which have low investments for manufacturing and administrative AMTs, but have the second highest investment in design-related AMTs.An analysis of the four technology groups reveals that while plants do differ in terms of plant size and integration, they do not differ significantly in terms of industry membership or performance. This suggests that successful firms can be found in each of the groups and that good strategies may be found that are consistent with each of these approaches. Therefore, the taxonomy is fairly robust, and further research must analyze companies within these groupings in order to identify the contingencies or other factors that may act in conjunction with technology to separate high and low performing firms. The data from our study clearly suggest that investments in technology alone are not a causal factor for performance improvement.     

Migration and Land Rental as Responses to Income Shocks in Rural China

Using longitudinal household survey data from rural China and an identification strategy based on observed rainfall realizations, we are able to test household responses to idiosyncratic and covariate income shocks. We find that negative idiosyncratic income shocks increase migration and elicit household out rental of land. The effect of covariate income shocks is generally dependent on both the timing and the nature of the shock. Our results suggest that rainfall deficiencies during paddy maturing or harvesting seasons reduce the number of migrants by raising the marginal value product of farm labour, thereby increasing the opportunity costs associated with migration.