A new professionalism for agricultural research for development

There have been repeated calls for a ‘new professionalism’ for carrying out agricultural research for development since the 1990s. At the centre of these calls is a recognition that for agricultural research to support the capacities required to face global patterns of change and their implications on rural livelihoods, requires a more systemic, learning focused and reflexive practice that bridges epistemologies and methodologies. In this paper, we share learning from efforts to mainstream such an approach through a large, multi-partner CGIAR research program working in aquatic agricultural systems. We reflect on four years of implementing research in development (RinD), the program’s approach to the new professionalism. We highlight successes and challenges and describe the key characteristics that define the approach. We conclude it is possible to build a program on a broader approach that embraces multidisciplinarity and engages with stakeholders in social-ecological systems. Our experience also suggests caution is required to ensure there is the time, space and appropriate evaluation methodologies in place to appreciate outcomes different to those to which conventional agricultural research aspires.     

The Impact of Technology Accumulation on Technical Efficiency: An Analysis of the Sri Lankan Clothing and Agricultural Machinery Industries

This paper examines the effects of technology accumulation on firm-level technical efficiency in the Sri Lankan clothing and agricultural machinery industries, using cross-section survey data. Econometric analysis of the economic effects of technology development in developing countries is limited and this paper seeks to address this gap in the literature. The analysis shows simple adaptive technical change to have a significant and positive effect on efficiency in both industries. In addition, variables relating to technological skills and training also emerge as significant determinants of firm-level efficiency.     

Segregación por género en el sector manufacturero formal de la India

Mediante el cálculo de un índice de disimilitud con datos de la Encuesta Anual de Industrias, los autores constatan que la segregación por género en las manufacturas indias entre 1989–1990 y 2000–2001 disminuyó, aunque debido sobre todo a cambios en la estructura sectorial del empleo, y no tanto a la integración de género. El índice resultó sensible al número de grupos de industrias establecido en la clasificación utilizada para el cálculo. Tanto a escala nacional como estatal, las mujeres tienen muy pocas oportunidades de empleo formal, concentradas en ciertos sectores manufactureros tradicionalmente femeninos, como los de alimentos, tabaco, confección, hilado y textil.     

Financial Distress in the Great Depression

We use firm‐level data to study corporate performance during the Great Depression era for all industrial firms on the NYSE. Our goal is to identify the factors that contribute to business insolvency and valuation changes during the period 1928‐1938. We find that firms with more debt and lower bond ratings in 1928 became financially distressed more frequently during the Depression, consistent with the trade‐off theory of leverage and the information production role of credit rating agencies. We also document for the first time that firms responded to tax incentives to use debt during the Depression era but that the extra debt used in response to this tax‐driven “debt bias” did not contribute significantly to the occurrence of distress. Finally, we conduct an out‐of‐sample test during the recent 2008‐2009 Recession and find that higher leverage and lower bond ratings also increased the occurrence of financial distress during this period.     

Predicting Downturns in the US Housing Market: A Bayesian Approach

This paper estimates Bayesian Vector Autoregressive (BVAR) models, both spatial and non-spatial (univariate and multivariate), for the twenty largest states of the US economy, using quarterly data over the period 1976:Q1–1994:Q4; and then forecasts one-to-four quarters-ahead real house price growth over the out-of-sample horizon of 1995:Q1–2006:Q4. The forecasts are evaluated by comparing them with those from an unrestricted classical Vector Autoregressive (VAR) model and the corresponding univariate variant of the same. Finally, the models that produce the minimum average Root Mean Square Errors (RMSEs), are used to predict the downturns in the real house price growth over the recent period of 2007:Q1–2008:Q1. The results show that the BVARs, in whatever form they might be, are the best performing models in 19 of the 20 states. Moreover, these models do a fair job in predicting the downturn in 18 of the 19 states.     

Exchange Rate Exposure and its Determinants: Evidence from Indian Firms

This article examines the determinants of the exchange rate exposure by comparing both manufacturing and service sector firms in India over the period of 2000 to 2013. First, the study finds that service sector firms are more exposed to exchange rate changes than manufacturing firms in India. Second, the results indicate that the market-to-book ratio and export are significant and positively related; however, size is negatively related to the exchange rate exposure of both the manufacturing and service sector firms. These results are robust with the estimation using a trade-weighted exchange rate.     

Building Better Theory by Bridging the Quantitative–Qualitative Divide*

abstract Qualitative methods for data collection and analysis are not mystical, but they are powerful, particularly when used to build new or refine existing theories. This article provides an introduction to qualitative methods and an overview of tactics for ensuring rigor in qualitative research useful for the novice researcher, as well as more experienced researchers interested in expanding their methodological repertoire or seeking guidance on how to evaluate qualitative research. We focus our discussion on the qualitative analytical technique of grounded theory building, and suggest that organizational research has much to gain by coupling of use of qualitative and quantitative research methods.     

New trade theory versus old trade policy: a continuing enigma

This paper examines the theoretical and empirical grounds fortrade liberalisation. We note that many of the conventionalarguments relating to the static and dynamic gains from liberalisationare based on fragile theoretical grounds. We also show that,although new trade theory takes account of some of the complexitiesof international trade and although the analytical thrust ofmany models justifies intervention, such policy conclusionsare rejected even by those at the forefront of these theorieson the grounds of political economy arguments which do not standup to careful scrutiny. Finally, we show that arguments favouringtrade liberalisation are not supported by existing empiricalresearch, which generally fails to capture the complex and ambiguouseffects of liberalisation and openness.