Gender differences in formal credit approaches: rural households in Vietnam

In Vietnam, women have poorer access to formal credit than men. This article determines the extent to which borrowing constraints restrict women’s access to formal credit and identifies the socioeconomic characteristics that determine formal credit discrimination. The study used secondary data from the Vietnam Access to Resources Household Survey (VARHS) published in 2013–14, and analysis was undertaken by econometric approaches such as logistic and multiple linear regression models and propensity score matching methods. The results show that among those participants who successfully obtained credit, approximately 85 per cent of women obtained less credit than men; and the amount of credit that women obtained was also less (on average, approximately 1.8 per cent less). Gender, number of years of schooling, marital status, participation in agricultural activities, off‐farm employment, and ownership of agricultural land for a male‐headed household positively influenced discrimination in obtaining credit and the amount of credit obtained. Moreover, the propensity score matching results found that the average increase in the credit obtained by males was 220,000 Vietnamese Dong (VND) and this is mainly due to discrimination in favour of men. The results suggest that policy action is needed to avoid discrimination in credit disbursement on the basis of gender.     

Mills,cranes, and the great divergence: the use of immovable capital goods in western Europe and the Middle East,ninth to sixteenth centuries

This article contributes to the ongoing debate on the causes of the great divergence by comparing the use of expensive labour‐saving capital goods—water‐mills, windmills, and cranes—in medieval western Europe and the Middle East. Using novel ways of measuring, we find that whereas the use of these goods increased in Europe, in the Middle East their prevalence decreased, or they were not used at all. We investigate several possible explanations and reject most of them, including religion, geography, technological knowledge, and disparities in wages and cost of capital. Our analysis shows that differences in lordship systems and the security of property rights best explain the patterns found.     

Russian Nanotechnology Market: High-Technology Industry or Statistical Phenomenon

This article presents a medium-term forecast of the development of the Russian nanoindustry, taking into account the assumed transition of the industry from the formation stage to the investment growth stage. Problems associated with the estimated output volumes of products in the Russian nanoindustry are considered, since the trends recorded in the primary statistical data are very far from reflecting the real situation due to the imperfection of the system of statistics of nano-containing products, as well as a reduction of state funding and a decline in the intensity of research in the industry. It is concluded that a full-fledged industry has not been yet completely formed in Russia and it actually exists only as a statistical phenomenon; in addition, the project really set different objectives from the declared creation of a breakthrough high-technology branch.     

Analysis of the Efficacy of Public Spending on Research and Development in State Programs

This paper presents an approach to assessing the efficacy of public spending on research and development in state programs. At present, there is a need to develop a unified approach to the analysis and evaluation of the efficacy of such spending from the perspective of participants in state programs (federal executive bodies). The proposed approach does not allow evaluating the efficacy of public spending on the development of research areas assigned to the authors.     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.