Women as agents of change: Female income and mobility in India

Economic globalization will give many women in developing countries access to steady and relatively remunerative employment for the first time, potentially shifting bargaining power within their households and changing the choices that are made for their children. This paper exploits a unique setting — a group of tea plantations in South India where women are employed in permanent wage labor and where incomes do not vary by caste — to anticipate the impact of globalization on mobility across social groups in the future. The main result of the paper is that a relative increase in female income weakens the family's ties to the ancestral community and the traditional economy, but these mobility enhancing effects are obtained for certain historically disadvantaged castes alone. Although the paper provides a context-specific explanation for why the women from these castes emerge as agents of change, the first general implication of the analysis is that the incentive and the ability of women to use their earnings to influence household decisions depends importantly on their social background. The second implication is that historically disadvantaged groups may, in fact, be especially responsive to new opportunities precisely because they have fewer ties to the traditional economy to hold them back.     

Determinants of interregional mobility in Russia

The paper studies the determinants of internal migration in Russia. Using panel data on gross region‐to‐region migration flows in 1992–99, we estimate the effect of economic, political and social factors. Although overall migration is rather low, it turns out that its intensity does depend on economic factors even controlling for fixed effects for each origin–destination pair. People move from poorer and job scarce regions with worse public good provision to those which are richer and prospering better both in terms of employment prospects and public goods. Migration is, however, constrained by the lack of liquidity; for the poorest regions, an increase in income raises rather than decreases outmigration. Our estimates imply that up to a third of Russian regions are locked in poverty traps.     

Determinants of child morbidity and factors governing utilization of child health care: evidence from rural India

Prevention as well as effective treatment of respiratory infections and diarrhoea depends on several individual, household and community level factors. The objective of this article is to estimate the role played by such factors in determining the occurrence of such diseases and utilization of formal health care for children under the age of three in India. The major findings are briefly enlisted as follows. First, a woman with greater educational qualification and autonomy in terms of her power to take decisions on her own, control over household resources and complete freedom to move beyond the confines of her household exerts a significant influence on the probability of seeking care. In addition to this, formal care is more likely to be sought for children whose mothers are more exposed to the media. Programmes devised to enhance utilization of formal health care for children should be targeted to catering for the needs of the vulnerable group i.e. female child, predominantly, residing in households belonging to Scheduled Tribe. In addition to this, children belonging to Muslim households are at higher risk of contracting the diseases but there is no significant difference in their health seeking behaviour as compared to other religious groups.     

Determinants of Nominal Interest Rates in India

Journal of Quantitative Economics - This paper examines the role of monetary factors in the variation of nominal interest rates in India for the deregulated regime of interest rates and the...     

Poverty and resource dependence in rural India

Previous studies of rural households in developing countries have tended to find that the dependence of these households on common-pool resources declines with income. Our study of households in Jhabua, India, finds a more complex relationship. Using the share of resource income in total long-run or “permanent” income as our dependence measure—which we argue is more appropriate than the short-run income-based measure commonly used in the literature—we find that for households that collect any resources at all, dependence exhibits a U-shaped relationship with income. That is, the poorest and richest households depend more on resources than households with intermediate incomes. The poorest and richest households are also found to be least likely to collect, however, indicating that resource use at the income extremes is bimodal—either zero or above average. Moreover, the observed trends for resources as a whole are not mirrored in those for individual resources. Dependence on fuelwood and dung declines with income, for example, while dependence on fodder and construction wood increases. These findings suggest that common-pool resources are a productive source of income not just for the poor but also for the rich, and that improvements in the stocks of these resources can potentially form the basis of poverty reduction efforts in these economies.     

Anthropometric failure and persistence of poverty in rural India

Recent studies have drawn attention to the high prevalence of stunting among children in rural India. In fact, these estimates point to more pervasive deprivation than conventional measures of poverty based on income or consumption expenditure shortfalls imply. Since stunting reflects cumulative nutritional and health deprivation, it is likely to persist despite higher incomes. With a view to shedding some new light on this issue, an analysis of the determinants of stunting is carried out, based on a recent all‐India survey of rural households. While income matters, other factors acting independently of it matter too. These include household size, whether household head is male, caste affiliation, mother’s age at marriage, mother’s age, age composition of children, male–female wage differences, hygiene and sanitation facilities, and prices of food items. So, while higher incomes will help mitigate stunting, careful attention must also be given to enhancing women’s autonomy through more remunerative employment opportunities for them, enabling households to improve hygiene and sanitation facilities, and facilitating more competitive local markets for food.     

Determinants of technological change in the service industries

The Service Industries provide numerous examples of how technological change may be impeded. Either the economic state of the industry or the state of scientific and engineering knowledge can limit inventive activity and productivity advance. Consumer ignorance, lack of producer incentives, complex production interdependencies, and market fragmentation are only a few factors limiting the role of demand in stimulating the discovery and diffusion of new services and production techniques. On the cost side, technical uncertainty, time horizons, and discount rates affect decisions to engage in R & D. In addition, strategic market considerations, such as potential entry, reaction speeds of rivals, and numbers of competitors affect the benefits from early introduction of new technologies. These institutional and economic considerations need to be taken into account for technological forecasting related to the Service Industries.     

Macroeconomic Determinants of Crime: Evidence from India

This paper examines the relationship between crime, inflation, unemployment, and real GDP per capita in India. Based on the national-level data, the Johansen cointegration test confirms the presence of cointegration relationship between the variables. The Toda–Yamamoto Granger causality test suggests that macroeconomic indicators, especially unemployment, can significantly affect crime in India. Based on the state-level data, the ordinary least squares results corroborate the effect of inflation on crime even after controlling for governance. However, they fail to verify the relationship between crime, unemployment, and real GDP per capita.

     

Determinants and Forecast of Price Level in India: a VAR Framework

The theoretical association of money supply and exchange rates with prices has been empirically established and shown to be dominant in explaining changes in price levels in India. However, post liberalisation, studies have shown price levels to be impacted by several other factors as also, weakened influence of the traditional factors established by theories. This study aims to find the determinants of price level for the period 1994–2008 using a Vector Autoregression model and test the predictive ability of the model. Our results show shorter and smaller impact of change in money supply and nominal effective exchange rate on price levels. Both money supply and nominal effective exchange rates are found to Granger-cause Consumer Price Index. But, impulse response functions show that the impact of shocks from money supply and nominal effective exchange rates on consumer prices peaks after two lags and is short-lived. Forecast error variance decomposition shows that these demand side factors contribute only 6 % of the forecast error variation in Consumer Price Index.

     

Determinants of women's financial inclusion: Evidence from India

A number of studies have analyzed the determinants of financial inclusion in India, but few if any have focused specifically on the factors that shape women's access to finance. This paper draws on the trove of women-specific data collected in the fourth round of the National Family Health Survey (NFHS-4), conducted in 2015–16 in India, to examine the factors that influence women's access to finance. The results indicate that while the forces that shape women's access to finance function at multiple levels, micro-level factors appear to be powerful drivers of inclusion. The analysis reveals that household-level economic indicators like wealth, gender of household head and their rural-urban location are crucial, but so are individual-level characteristics which explain approximately 83% of the variation in the multilevel regressions. Informal gender norms that govern women's mobility and economic activity crucially influence the ability of women to access loans and open bank accounts.     

A dynamic analysis of expenditure patterns in rural India

Recent generalisations of the Linear Expenditure System have concentrated on its restrictive assumption of separable preferences but underplayed its equally restrictive assumption of linearity in income, i.e., constant marginal budget shares. This reflects the data base which has usually been long time series of disaggregated consumer expenditure data. Such generalisations are inappropriated for developing countries which rely on highly aggregated commodity expenditure data from budget surveys with more variation in income responses is introduced, variation in prices. A general procedure for non-linearising income but rather limited applied to some recent LES generalisations to generate still further geenralisations and then used to analyse rural India's expenditure behaviour. The results decisively support the suggested generalisation and, also, provide evidence in favour of dynamic behaviour and habit persistence on budget data.     

Determinants of renewable energy adoption in China and India: a comparative analysis

This article examines the dynamic relationships among output, carbon emission and renewable energy generation of India and China during the period 1972 to 2011 using a multivariate vector error correction model (VECM). The results for India reveal unidirectional short-run causality from carbon emission to renewable energy generation and from renewable energy generation to output, whereas in the long run, the variables have bidirectional causality. Causalities in China give a rather different scenario, with a short-run unidirectional causality from output to renewable energy and from carbon emission to renewable energy generation. In the long run, for China, unidirectional causality is found from output to renewable energy generation, while bidirectional causality is found between carbon emission and renewable energy generation.     

On the flow of funds accounts and inter-sectoral mobility of capital in India

This study uses the flow of funds accounts framework and undertakes an in-depth analysis of the inter-sectoral mobility of capital in India. Unlike previous studies, the FH model is estimated at the sectoral level using annual data for the period 1950–51 to 2012–13. The model estimated in one-regime setting with no structural break provides a weak and mixed support and that estimated in a sample-split setting with a single structural break provides no support for the presence of a long-run relationship between saving and investment for all the sectors. In contrast, the model estimated with multiple structural breaks provides dominant support for the presence of cointegration between saving and investment for all the sectors. The end-of-sample cointegration breakdown tests suggest the breakdowns of cointegration between saving and investment in all the sub-sample periods for the household and PCB sectors, but not for the public sector. The FOF accounts could be used to monitor the borrowing and lending operations of both financial and non-financial sectors and to identify any deformities in the system. The regulatory and supervisory policies need to be put in place promptly to resolve the identified deformities at their early stages, before they magnify and make the entire system dysfunctional.     

WTO机制下农村富余劳动力转移

农村富余劳动力是工业化、现代化和城市化的必然结果。在回顾农村富余劳动力转移的理论和实践基础上，从转移的历史和现状入手指明与WTO直接相联系的转移，并进一步完善了WTO背景下我国农村富余劳动力转移思路：拓展农村富余劳动力转移的产业领域，扩大农村富余劳动力转移的活动空间，利用非公有制经济来安排更多的农村富余劳动力，坚持灵活多样的转移方式，并辅之以相应的土地政策，要运用行政、经济等手段为农村富余劳动力转移作好服务工作。     

Household sectoral choice and effective demand for rural credit in India

An analysis of the ICRISAT data from three Indian villages raises concern about the extent of rationing mechanism inhibiting the spread of formal credit in rural India where a significant proportion of households do not have any outstanding loan or borrow from the informal sector only. A limited-dependent econometric analysis of the factors jointly determining household sectoral choice and effective demand for informal loan conditional on whether a formal loan is available suggests that compared to formal loan easy and adequate access and prompt recovery are significant determinants of the popularity and viability of informal rural credit among sample households; also some households substitute labour income to ease the extent of credit. Thus, rationing of the formal credit is not the only factor inhibiting the spread of formal credit in the study villages.     

Intrahousehold moral hazard frictions and household poverty traps in rural India

We empirically study the role of assets held by women in the creation of household wealth using data from rural India. We design a streamlined model of intrahousehold project funding where moral hazard frictions between spouses and women's asset control are the main ingredients. As predicted by the model, the data show that household asset accumulation depends on women's asset control in a non-monotonic way. Results indicate no presence of multiple equilibrium poverty traps, but do show that exogenous negative shocks will trigger assets aggregation within households where both spouses are present. This resilience mechanism is, however, not found in female headed household as these households have a monotonic relationship between women's wealth control and asset creation. We thus argue that policies to support women's empowerment need to distinguish women based on their individual wealth levels and headship status to enhance household well-being in remote Indian communities.     

Determinants of technical change: Empirical evidence from Switzerland

The purpose of this paper is to analyse both theoretically and empirically those factors which underlay the—empirically observable—inter-industry differences in technical progress. At the theoretical level economists agree more and more that technical progress can be explained at the industry level ey the following three factors: 1. the technological opportunities, 2. the appropriability conditions, meaning the ability to capture and protect the results of technical innovations, and 3. the market demand conditions.The basic theoretical model was tested with the help of two sets of Swiss data. One set was made available by Swiss Federal Office of Statistics and consists of quantitative information on R&D expenditures, R&D personnel, total employment and sales figures for 124 (4-digit SIC) industries for the year 1986. The second set was derived from a survey I carried out in the summer of 1988. 940 industry experts were approached: 358 of them, or 38 percent, covering 127 industries, completed the questionnaire. The items on the questionnaire were related to the two supply-side determinants of technical progress—items 1. and 2. above. For the empirical specification of the theoretical model, technical progress (as the dependent variable) was measured by three indicators: an output indicator, representing the introduction rate of innovations since 1970; two input indicators, share of R&D expenditures in sales and share of R&D personnel in total employment. All data were aggregated at the industry level (4-digit SIC). Three equations were estimated individually, using the OLS, GLS and Tobit methods.     

Poverty,undernutrition and vulnerability in rural India: role of rural public works and food for work programmes

This paper analyses the effects of access to Rural Public Works (RPW) or Food for Work programme (FFW) on consumption poverty, vulnerability and undernutrition in India using the large household data sets constructed by the National Sample Survey for 1993 and 2004. The treatment-effects model is used to take account of sample selection bias in evaluating the effects of RPW in 1993 or FFW in 2004 on poverty. We have found significant and negative effects of participation in RPW and the Food for Work Programme on poverty, undernutrition (e.g. protein) and vulnerability in 1993 and 2004.