Long-term consequences of short-term precipitation shocks: evidence from Brazilian migrant households

We find that large short-term precipitation shocks damage the long-term income of households that have permanently migrated from rural to urban areas. This outcome is consistent with the behavior of credit-constrained rural households who are willing to accept lower long-term income in urban areas following the depletion of their productive assets during an adverse shock. Our empirical evidence suggests that there may be a link between large precipitation shocks in rural areas and urban poverty. Further exploration is warranted on the mechanisms by which natural disasters cause these long-term losses.     

Early-stage financing and firm growth in new industries

This paper shows that active investors, such as venture capitalists, can affect the speed at which new ventures grow. In the absence of product market competition, new ventures financed by active investors grow faster initially, though in the long run those financed by passive investors are able to catch up. By contrast, in a competitive product market, new ventures financed by active investors may prey on rivals that are financed by passive investors by “strategically overinvesting” early on, resulting in long-run differences in investment, profits, and firm growth. The value of active investors is greater in highly competitive industries as well as in industries with learning curves, economies of scope, and network effects, as is typical for many “new economy” industries. For such industries, our model predicts that start-ups with access to venture capital may dominate their industry peers in the long run.     

‘I could be dead for two weeks and my boss would never know’: telework and the politics of representation

This article presents data from a qualitative study of teleworking consultants in a European firm. We examine the ‘gap’ between the utopian visions produced by the consultants for the benefit of clients and the tales of isolation, disconnection, disaffection and cynicism we observed when clients were not present. The study highlights the power and politics involved in the diffusion of popular images of technology‐enabled flexibility.     

Hired hooves: Transactions in a south Indian village factor market

Bullocks are an important resource in Indian agriculture where they are used as draft animals. Previous research suggests that farmers who do not own bullocks, or own bullocks in insufficient numbers relative to their land holdings, adjust bullock-land ratios through transactions in the land market, rather than by hiring bullock services. The reasons given for this behaviour are that there are 'inhibited' or 'missing' village markets for bullock services. Results from a survey of the activities and transactions of six bullock contractors during an entire cropping period show that village markets for bullock services exist continuously and are far from being inhibited. Close monitoring of the bullock contractors' transactions supplied rich evidence of the manifold contractual arrangements used in this village market for bullock services.     

Surrogate modelling of a detailed farm-level model using deep learning

Technological change co-determines agri-environmental performance and farm structural transformation. Meaningful impact assessment of related policies can be derived from farm-level models that are rich in technology details and environmental indicators, integrated with agent-based models capturing dynamic farm interaction. However, such integration faces considerable challenges affecting model development, debugging and computational demands in application. Surrogate modelling using deep learning techniques can facilitate such integration for simulations with broad regional coverage. We develop surrogates of the farm model FarmDyn using different architectures of neural networks. Our specifically designed evaluation metrics allow practitioners to assess trade-offs among model fit, inference time and data requirements. All tested neural networks achieve a high fit but differ substantially in inference time. The Multilayer Perceptron shows almost top performance in all criteria but saves strongly on inference time compared to a Bi-directional Long Short Term Memory.     

The Relationships of Religion to Economics

The relationships between religion and economics are both complex and controversial. In this paper is explored one method for organizing those relationships. Four categories are examined which help identify possible options: economics separate from religion economics; in service of religion; religion in service of economics; and religion in union with economics. The paper begins with a definition of what is included under the headings of religion and economics. Next, each of the four categories is described and discussed. Conclusions close the paper.