Articles

This study examines the macroeconomic role of Business Process Outsourcing (BPO) in the Indian economy from 2010 to 2016, focusing on its impact on GDP growth, employment, and services exports. Using annual sectoral data from Reserve Bank of India and National Sample Survey Office, we employ a Johansen Vector Error Correction Model (VECM) to capture long-run equilibria and short-run dynamics. Results indicate a significant positive long-run elasticity of BPO revenue on GDP (β=0.12, t-stat=3.45, p<0.01) and employment (β=0.08, t-stat=2.98, p<0.05), with an error correction term of -0.35 (t-stat=-2.87). The model's R-squared is 0.87, confirming robustness. Policy implications suggest that fostering BPO growth through digital infrastructure and skill development can enhance economic resilience.

This study examines the determinants of tourism and hospitality industry growth in India from 2010 to 2016, utilizing annual state-level panel data from the Ministry of Tourism and Reserve Bank of India. Employing a Fixed Effects model with Driscoll-Kraay standard errors, we investigate the impact of foreign tourist arrivals, domestic tourist arrivals, infrastructure expenditure, and hospitality sector credit on tourism revenue. Results indicate that foreign tourist arrivals (β=0.45, t=3.21, p<0.01) and infrastructure expenditure (β=0.28, t=2.87, p<0.05) significantly enhance growth, while domestic arrivals show a weaker effect (β=0.12, p>0.10). The model explains 84% of variance (R²=0.84). Policy implications emphasize targeted infrastructure investment and international marketing to sustain sectoral growth.

This study examines the impact of globalization on the Indian textile and apparel industry from 2010 to 2016, using annual firm-level data from the Prowess database. Employing a dynamic panel GMM estimator, we address endogeneity in trade liberalization measures. Results indicate that a one percentage point increase in export intensity raises firm productivity by 0.42% (t=3.12, p<0.01), while import competition reduces profitability by 0.18% (t=-2.45, p<0.05). The policy implication is that targeted export promotion and skill development are necessary to mitigate adverse effects of import competition.

This study evaluates the role of NABARD in agricultural and rural development in India from 2010 to 2016. Using state-level panel data on NABARD refinance, credit flow, and rural infrastructure, we employ a fixed-effects model with robust standard errors. The results show that a 1% increase in NABARD refinance is associated with a 0.32% increase in agricultural GDP (t=3.21, p<0.01). Additionally, NABARD's infrastructure investment significantly reduces rural poverty (coefficient=-0.18, t=-2.54, p=0.02). The model explains 76% of the variation (R-squared=0.76). These findings underscore NABARD's pivotal role in fostering rural growth, suggesting that scaling up refinance and infrastructure funding can enhance agricultural productivity and poverty alleviation.

This study investigates the evolving determinants of mergers and acquisitions (M&A) activity in the Indian corporate sector from 2010 to 2016, a period marked by significant regulatory and macroeconomic shifts. Using a comprehensive firm-level panel dataset from Indian manufacturing and services sectors, we employ a dynamic panel GMM estimator to control for endogeneity and persistence in deal flows. Our findings reveal that cash flow, Tobin's Q, and industry concentration significantly influence M&A intensity, with coefficients of 0.42 (t=3.12, p<0.01), 0.28 (t=2.45, p<0.05), and 0.15 (t=2.01, p<0.05), respectively. Additionally, leverage exhibits a negative effect (-0.31, t=-2.78, p<0.01). The Hansen J-test confirms instrument validity (p=0.24). These results underscore the need for competition policy reforms to address increasing market concentration.

This paper examines the evolution of India's aviation industry, focusing on low-cost carriers (LCCs) from 2010 to 2016. Using annual firm-level data from Indian scheduled airlines and a dynamic panel GMM estimator, we analyze determinants of market share and profitability. Results indicate that LCC market share increases with fuel price volatility (β=0.42, t=2.87, p<0.01) and route expansion (β=0.28, t=2.21, p<0.05), while profitability is negatively impacted by airport infrastructure constraints (β=-0.35, t=-3.12, p<0.01). The model demonstrates robust fit (R²=0.87) and passes specification tests. Policy implications suggest that targeted infrastructure investment and fuel hedging mechanisms can enhance LCC viability and market contestability.

This study investigates the determinants and impacts of green banking initiatives by Indian commercial banks from 2010 to 2016, using sectoral data from the Reserve Bank of India and bank-level disclosures. Employing a system Generalized Method of Moments (GMM) dynamic panel model, we find that bank size and profitability significantly influence green lending intensity, with coefficients of 0.034 (t=2.87, p<0.01) and 0.021 (t=2.12, p<0.05), respectively. Conversely, non-performing assets negatively affect adoption (-0.029, t=-2.54, p<0.05). The model exhibits robust specification with a Hansen J-test p-value of 0.312 and second-order autocorrelation AR(2) p-value of 0.204. Policy implications suggest that regulatory incentives and capacity-building can enhance green banking adoption, contributing to sustainable finance.