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This paper aims to analyse the relationship between exports and non-export gross domestic product (GDP) in the context of Indian economy during 1988-2012. It considers export both at aggregate and disaggregated levels to examine whether export-led growth (ELG) hypothesis is sensitive to types of goods India exports.

The OLS-based autoregressive distributed lag (ARDL) model has been employed to analyse the potential long-run equilibrium relationship. Further, the error correction model within the ARDL framework is applied to examine the short-run and long-run causal relationship between non-export GDP, export and other variables. The study is based on secondary data.

The study indicates that at aggregate level, exports do not have any significant impact on output of non-export sector, and therefore, it is maintained that ELG hypothesis is not valid at aggregate level in India; when the authors disaggregate exports into merchandise and services exports, the latter has been found to have positive spillover effects on non-export sector of the economy. However, the association between merchandise export and non-export GDP is found to be statistically insignificant. When the authors further disaggregated merchandise exports, the authors observed that primary-product export has a negative association with non-export GDP, but export of manufacturing products found to have a significant positive impact on non-export GDP. Finally, export of petroleum product shows a negative long-run association with non-export GDP, but the association is statistically insignificant.

It is not the case that India can simply increase its exports per se and be sure of witnessing economic growth, but instead it is the composition and the concentration of these exports that matters.

The main goal of the paper is to study the effect of intimate partner violence on wives' participation in adopting modern contraceptive as a method of family planning in India.

The authors' analysis uses data from the NFHS‐III (2005‐2006) based on a nationally representative sample of 109,041 households, and 124,385 women (15‐49 years). The sample covers 99 percent of India's population living in all 29 states. Both bivariate and multivariate techniques have been used to analyze data. The bivariate analysis in the form of scatter diagram has been used to examine the association between “use of modern contraceptive” and “spousal violence”, while multivariate analysis in the form of logistic regression has been carried out to assess this association after controlling other variables.

The study reveals that spousal violence negatively affects wives' participation in adoption of modern contraceptive, but that their knowledge of contraceptive, religion, and level of women empowerment should be taken into account as well. Women with higher knowledge about contraceptive have been found to use more modern contraceptive. Muslim women have relatively lower modern contraceptive prevalence rate and they have an inclination for traditional methods. Similarly, modern contraceptive prevalence is lower among women who enjoy relatively higher empowerment. In fact, it has been found from the study that women empowerment has a high positive correlation with traditional contraceptive prevalence rate.

This paper is the first attempt at examining the association between spousal violence and contraceptive behaviour in India on a national basis covering every corner of the country. The findings of the study clearly stress the importance of spousal violence prevention measures as supplemental to family planning measures. However, it will be erroneous to assume that mere passing of bills in the parliament and making laws will solve the problem which is deeply rooted in the society.