Lekha Chakraborty

The 2030 Sustainable Development Goals and Measuring Gender Inequality: A Technical Articulation for Asia-Pacific

Against the backdrop of the 2030 UN Agenda for Sustainable Development, this paper analyzes the measurement issues in gender-based indices constructed by the United Nations Development Programme (UNDP) and suggests alternatives for choice of variables, functional form, and weights. While the UNDP Gender Inequality Index (GII) conceptually reflects the loss in achievement due to inequality between men and women in three dimensions--health, empowerment, and labor force participation--we argue that the assumptions and the choice of variables to capture these dimensions remain inadequate and erroneous, resulting in only the partial capture of gender inequalities. Since the dimensions used for the GII are different from those in the UNDPs Human Development Index (HDI), we cannot say that a higher value in the GII represents a loss in the HDI due to gender inequalities. The technical obscurity remains how to interpret GII by combining women-specific indicators with indicators that are disaggregated for both men and women. The GII is a partial construct, as it does not capture many significant dimensions of gender inequality. Though this requires a data revolution, we tried to reconstruct the GII in the context of Asia-Pacific using three scenarios: (1) improving the set of variables incorporating unpaid care work, pay gaps, intrahousehold decision making, exposure to knowledge networks, and feminization of governance at local levels; (2) constructing a decomposed index to specify the direction of gender gaps; and (3) compiling an alternative index using Principal Components Index for assigning weights. The choice of countries under the three scenarios is constrained by data paucity. The results reveal that the UNDP GII overestimates the gap between the two genders, and that using women-specific indicators leads to a fallacious estimation of gender inequality. The estimates are illustrative. The implication of the results broadly suggests a return to the UNDP Gender Development Index for capturing gender development, with an improvised set of choices and variables.

Fiscal Policy, Economic Growth and Innovation: An Empirical Analysis of G20 Countries

This paper analyzes the effectiveness of public expenditures on economic growth within the analytical framework of comprehensive Neo-Schumpeterian economics. Using a fixed-effects model for G20 countries, the paper investigates the links between the specific categories of public expenditures and economic growth, captured in human capital formation, defense, infrastructure development, and technological innovation. The results reveal that the impact of innovation-related spending on economic growth is much higher than that of the other macro variables. Data for the study was drawn from the International Monetary Funds Government Finance Statistics database, infrastructure reports for the G20 countries, and the World Development Indicators issued by the World Bank.

'Engendering' Intergovernmental Transfers: Is There a Case for Gender-sensitive Horizontal Fiscal Equalization?

This paper seeks to evaluate whether a gender-sensitive formula for the inter se devolution of union taxes to the states makes the process more progressive. We have used the state-specific child sex ratio (the number of females per thousand males in the age group 0-6 years) as one of the criteria for the tax devolution. The composite devolution formula as constructed provides maximum rewards to the state with the most favorable child-sex ratio, and the rewards progressively decline along with the declining sex ratio. In this formulation, the state with the most unfavorable child-sex ratio is penalized the most in terms of its share in the horizontal devolution. It is observed that the inclusion of gender criteria makes the intergovernmental fiscal transfers formula more equitable across states. This is not surprising given the monotonic decline in the sex ratio in some of the most high-income states in India.