The evolution of gender budgeting in India has been marked by significant milestones and challenges. India formally adopted a Gender Budgeting policy in 2005-06, introducing the Gender Budget Statement (GBS) to track gender-sensitive allocations. The status of gender budgeting in India reflects continuous progress and institutionalization. As a first step towards assessing gender budgeting in the Indian context, this study develops an analytical approach to evaluate the effectiveness of government schemes from a gendered lens.

The study turns a critical lens towards the bureaucratic and siloed process of gender budgeting. In the context of secondary school education in Delhi, this participatory research engaged female students from working-class households to collaboratively create a platform for discussing their experiences, priorities and challenges. A survey questionnaire, developed from these discussions, refined with student feedback, and administered by the students, informs the key discussions of the research. The research covering a number of issues like classroom size, capacity of teachers, scholarships, direct benefit transfers (DBTs), among many others, and generates important data and voices on which gender budget can be premised, instead of the post-facto accounting exercise. Drawing from this, the study proposes the need and scope for gender budgeting to be more participative and extends the discussion for synergies between gender budgeting and participative budgeting.

The study aims to highlight methodological and computation issues in estimation of Gross State Domestic Product (GSDP), particularly after the base year of the national accounts was revised to 2011-12.

The research explores the linkages between social spending and macroeconomic outcomes through a structural macroeconomic model of the Indian economy. The basic model is in Keynes-Kalecki tradition with some of the structural features of the Indian economy added. Public spending on the social sector is a crucial link connecting growth to human development. Human development has a feedback effect on growth. 

We propose mapping two distinct datasets pertinent to the Indian economy: Gross Value Added (GVA) sourced from the National Account Statistics and corporate income tax data extracted from the Receipt Budget. By implementing a segregated-level analysis, our objective is to uncover the factors shaping effective tax rates at segregated manufacturing sectors. The study finds an inverted-U relationship between effective tax rates and industry size. Additionally, it identifies other determinants such as the statutory rate, governance index and optional tax regime.