RBI-Occasional Papers-Vol. 44, No.1, 2023 - আৰবিআই - Reserve Bank of India
RBI-Occasional Papers-Vol. 44, No.1, 2023
Today, the Reserve Bank of India releases Volume 44, No.1, 2023 of its Occasional Papers, a research journal containing contributions from its staff. This issue contains three articles and four book reviews. Articles: 1. Harnessing Artificial Neural Network to Gauge the Systemic Risk Exposure of Banks in India This paper harnesses the Artificial Neural Network Quantile Regression (ANN-QR) model to estimate the systemic risk exposure of major banks in India. The model employs a ‘Leaky ReLU’ activation function to capture non-linearity in risk spillover. The estimated model detects the major periods of systemic stress in the last 15 years and suggests that smaller private sector banks are more exposed to systemic risks during stress periods. The model can help in gauging early signs of rise in systemic risk exposure of banks and can complement the micro-prudential risk assessment toolkit of supervisors to initiate timely remedial actions. 2. Total Factor Productivity Growth in Indian Agriculture: Accounting for Land Quality This paper attempts to include land as an input in the KLEMS-type production function and estimate agricultural total factor productivity growth (TFPG). The estimates suggest that the rate of agricultural TFPG was 0.8 per cent per annum between 1980 and 2019 without accounting for land. However, it increased to 2.0 per cent and 1.8 per cent per annum with the inclusion of land and land quality, respectively. Using growth accounting decomposition, the paper finds that the contribution of TFPG to agricultural output growth increased from 48 per cent in the 1980s to 78 per cent in the 2010s. Examination of the drivers of agricultural TFP in the long-run using an Autoregressive Distributed Lagged (ARDL) model suggests that public gross capital formation (GCF) stock, research and development, mechanisation in agriculture and favourable terms of trade significantly improve agricultural productivity in India. 3. COVID-19 and Productivity Performance of MSMEs and Large Firms in India This paper examines productivity performance of micro, small and medium enterprises (MSMEs) vis-à-vis large firms in India’s organised manufacturing sector in the backdrop of COVID-19. To address simultaneity and endogeneity associated with firm size and productivity, the paper applies the Levinsohn and Petrin method to an unbalanced panel to estimate the production function and calculate the total factor productivity (TFP). The results suggest that productivity levels in financial years 2012 to 2022 were comparable between MSME firms and large firms, with the latter performing marginally better. TFP growth stagnated in the pre-pandemic period for both MSMEs and large firms. Post-COVID-19, productivity increased for both large firms and MSMEs, with productivity growth in MSMEs catching up with that of large firms. Book Reviews: This issue of the RBI Occasional Papers also contains four book reviews:
(Yogesh Dayal) Press Release: 2023-2024/1992 |