From information technology to bioinformatics: Evolution of technological capabilities in India

This paper explores a trend in the development of innovation in emerging economies: exaptive technological capabilities. A growing proportion of innovation is originating in emerging economies that, being resource-constrained in a dynamic and uncertain environment, requires leveraging existing capabilities and recombining with new knowledge resources. An evolutionary biology model is applied to a process model whereby initial technological capabilities are renewed by the firm given an external selection event. Using a detailed case study across 6 years, this paper investigates the exaptation process of Information Technology (IT) capabilities into bioinformatics by an Indian IT firm, Tata Consultancy Services (TCS). Findings suggest that just leveraging existing technological capabilities alone is a model set for failure. Such a tactic ignores the environment of the new technology application area. By investing in the needed complementary resources, TCS corrected its initial path to open source their software and offer consulting services on how to utilize the software and, thus, create intellectual property. These insights are valuable not only for the innovation management of traditional IT services to life sciences, but more broadly for firms in emerging economies that hope to renew and build exaptive technological capabilities to enter unforeseen new application areas by leveraging existing technological capabilities.     

The political economy of public research investment and commodity policies in agriculture: an empirical study

The paper tests a political economy theory of simultaneous government decision‐making on income redistribution through commodity policies and on public research investment in agriculture. We use data from 37 countries on agricultural protection and public agricultural research expenditures (PARI). The empirical results are consistent with the political economy hypotheses. The analysis suggest that structural changes in the economy have important effects on the political incentives for governments not only to subsidize or tax farmers, but also to invest in public agricultural research. Furthermore, the analysis supports the hypotheses that the impact of such structural changes on government decision‐making on PARI is non‐linear and conditional on other factors. Regarding the impact of political institutions, the results suggest that more democracy neither leads to more distortionary transfers (agricultural protection), nor to lower investment in public goods (PARI). ©2000 Elsevier Science B.V. All rights reserved.     

A distribution-free newsvendor model with balking and lost sales penalty

In this paper, we extend the classical single period newsvendor model in an environment of customer balking, which occurs when customers are reluctant to buy a product if its available inventory falls below a threshold level. Since failure to make a sale usually results in a cost penalty, in addition to the opportunity cost of lost sales, we incorporate such costs in our model. Furthermore, we extend our model to include fixed ordering costs. Our analysis is based on the assumption that only the mean and the variance of the distribution of demand are known, without assuming any specific distributional form. We illustrate the concepts developed here through simple numerical examples and demonstrate the effectiveness of our approach by solving a set of 1000 randomly generated test problems.     

Locally minimax test of independence in elliptically symmetrical distributions with additional observations

Summary LetX=(X _ij )=(X ₁, ...,X _n )’,X’ _i =(X _i1, ...,X _ip )’,i=1,2, ...,n be a matrix having a multivariate elliptical distribution depending on a convex functionq with parameters, 0,σ. Let ϱ²=ϱ ₂ ^-2 be the squared multiple correlation coefficient between the first and the remainingp ₂+p ₃=p−1 components of eachX _i . We have considered here the problem of testingH ₀:ϱ²=0 against the alternativesH ₁:ϱ ₁ ^-2 =0, ϱ ₂ ^-2 >0 on the basis ofX andn ₁ additional observationsY ₁ (n ₁×1) on the first component,n ₂ observationsY ₂(n ₂×p ₂) on the followingp ₂ components andn ₃ additional observationsY ₃(n ₃×p ₃) on the lastp ₃ components and we have derived here the locally minimax test ofH ₀ againstH ₁ when ϱ ₂ ^-2 →0 for a givenq. This test, in general, depends on the choice ofq of the familyQ of elliptically symmetrical distributions and it is not optimality robust forQ.     

THE ECONOMETRIC ANALYSIS OF ECONOMIC POLICY

The application of econometric analysis to the process of economic policy formulation is considered. A framework is provided by the theory of reduction, specifically reductions where key information losses would invalidate policy. Consequently, model evaluation; the role of econometric models; forecasting; exogeneity; causality; constancy and invariance; unobservables; seasonality; and data integrability are considered, together with specific policy issues where econometrics can clarify the problems.     

Technology selling and innovation with bargaining

We examine when the price of technology is found through bargaining between the seller and the buyer and explore its effect on the innovation incentive. Selling the technology is preferred to licensing for the innovating firm. The possibility of selling increases the incentive for innovation compared to licensing for a range of high‐cost innovation, but reduces the incentive for a range of low‐cost innovation.     

Structural FECM: Cointegration in large‐scale structural FAVAR models

Starting from the dynamic factor model for nonstationary data we derive the factor‐augmented error correction model (FECM) and its moving‐average representation. The latter is used for the identification of structural shocks and their propagation mechanisms. We show how to implement classical identification schemes based on long‐run restrictions in the case of large panels. The importance of the error correction mechanism for impulse response analysis is analyzed by means of both empirical examples and simulation experiments. Our results show that the bias in estimated impulse responses in a factor‐augmented vector autoregressive (FAVAR) model is positively related to the strength of the error correction mechanism and the cross‐section dimension of the panel. We observe empirically in a large panel of US data that these features have a substantial effect on the responses of several variables to the identified permanent real (productivity) and monetary policy shocks.     

Demand for household sanitation in India using NFHS-3 data

India has the highest number of people defecating in the open, and the Indian Government is trying to eradicate by constructing toilets for its citizens. This paper is about whether the government is likely to succeed in its cleanliness drive mission by a supply-side policy. We examine the household preference and other the factors leading to open defecation in India. We examine preference for having a toilet in the household over the preference of other household durable goods. Our results suggest toilets get a lower preference—ranked 12, out of 21 different types of consumer durables we investigate. The results also indicate a strong case for imparting education and public awareness, especially, among the female cohort. We find the odds of having toilets in a household with an educated woman (18 years of schooling) is 3.1 times more than a household with illiterate or preschool educated women. Among other factors households living in urban areas are 19 times more likely to have toilets in comparison with their rural counterparts.     

Is India Shining?

The popular perception about economic reforms having benefitted only the richer districts of India between 1999/2000 and 2004/2005 is investigated. Using the spatial dynamics of district‐level per‐capita income it was found that income distribution did not change between the years examined. It is argued that this is because of per‐capita income across districts being spatially positively correlated. Physical infrastructure, human capital, and factories are identified as factors responsible for increase in income for both the rich as well as the poor districts. Infrastructure, physical or social, is a key component of growth in India. A policy impact analysis shows development of better drainage and potable water systems has a large impact on income. For the year 2001/02, it was found that for every 1% increase in closed drainage system and potable water, district‐level median income increases by 1.39% and 0.21%, respectively.