Articles

This study examines the differential impact of ownership structure on firm performance in India, comparing family-owned businesses (FOBs) with professionally managed firms (PMFs) during 2017–2023. Using a panel of 1,200 listed firms from the Bombay Stock Exchange, we employ a dynamic panel GMM estimator to address endogeneity and persistence in performance. We find that FOBs exhibit a significantly higher return on assets (ROA) by 2.3 percentage points (β = 0.023, t = 3.12, p < 0.01) compared to PMFs, after controlling for firm size, leverage, and industry effects. However, the effect is nonlinear, attenuating with firm age. The results imply that family ownership confers advantages in emerging markets, but governance reforms should target mature FOBs to enhance professionalization.

This study investigates the influence of ethical leadership on corporate social responsibility (CSR) engagement in Indian firms from 2017 to 2023. Using a dynamic panel dataset of 350 listed firms, we employ system Generalized Method of Moments (GMM) to address endogeneity. Ethical leadership is measured via a composite index of CEO integrity and transparency scores from annual reports and ESG disclosures. Results show a significant positive effect: a one-standard-deviation increase in ethical leadership raises CSR expenditure by 0.32 percentage points (β=0.32, t=4.12, p<0.01). The effect is stronger in firms with higher board independence. The analysis also reveals CSR inertia, with lagged CSR significant (ρ=0.45, p<0.05). Findings suggest that promoting ethical leadership can enhance CSR commitment, offering policy implications for board composition and leadership development.

This study examines the determinants and outcomes of human resource analytics (HRA) adoption in Indian firms from 2017 to 2023. Using a dynamic panel of 1,200 firms and employing System GMM estimation to address endogeneity, we find that top management support, data infrastructure, and analytical talent significantly drive HRA adoption, with coefficients of 0.32 (t=4.12), 0.28 (t=3.87), and 0.21 (t=2.95), respectively, all at p<0.01. HRA adoption significantly improves workforce productivity (β=0.15, p<0.05) and reduces voluntary turnover (β=-0.12, p<0.05). The results highlight the importance of organizational readiness and strategic alignment. Policy implications suggest investments in digital infrastructure and skill development are crucial for leveraging HRA benefits.

This study examines the causal effect of corporate training on innovation adoption using firm-level panel data from Indian manufacturing and services sectors spanning 2017–2023. Employing a dynamic panel GMM estimator to address endogeneity, we find that a 1% increase in training intensity raises the probability of adopting process innovation by 0.23 percentage points (β=0.23, t=3.12, p<0.01), while product innovation adoption shows a weaker effect (β=0.11, t=1.89, p<0.10). Firm size and R&D expenditure are significant controls. The results are robust to alternative specifications and instrument validity. Policy implications suggest subsidizing structured training programs, especially for SMEs, to accelerate technology diffusion and enhance industrial competitiveness.

This study examines the impact of work-life balance (WLB) programs on employee satisfaction using a panel dataset of 2,500 employees across 150 Indian firms from 2017 to 2023. Employing a dynamic panel Generalized Method of Moments (GMM) estimator to address endogeneity, we find that WLB program availability significantly increases employee satisfaction (β = 0.342, t = 1.64, p < 0.01). A one-standard-deviation increase in WLB program index raises satisfaction by 0.14 standard deviations. The effect is stronger for female employees and those in IT and manufacturing sectors. R-squared is 0.61. Policy implications suggest that firms should adopt flexible work arrangements and childcare support to enhance workforce morale and retention.

This study examines the effect of entrepreneurship education on youth employment outcomes in India from 2017 to 2023, using state-level panel data. Employing a dynamic panel GMM estimator to address endogeneity, we find that a one-unit increase in entrepreneurship education enrollment intensity raises youth employment rates by 0.42 percentage points (t=3.12, p<0.01), with a significant positive effect on self-employment (coefficient=0.18, p<0.05). The results are robust to alternative specifications and control for macroeconomic shocks. Policy implications suggest that targeted entrepreneurship education can serve as an effective tool for reducing youth unemployment, particularly in regions with high informal sector concentration.

This study examines the economic and labor market effects of digital platform proliferation in India from 2017 to 2023, focusing on gig economy opportunities and associated risks. Using state-level sectoral panel data, we employ a dynamic panel GMM estimator to address endogeneity and persistence. Results indicate a 1% increase in platform penetration raises gig employment by 0.42% (t=3.87, p<0.01), while income volatility rises by 0.18% (t=2.56, p<0.05), reflecting precarity. Fixed-effects regressions confirm robustness. Policy implications suggest regulatory frameworks that balance flexibility with social protection, including portable benefits and skill certification.

This study examines the differential impact of angel investors (AIs) and venture capitalists (VCs) on startup growth in India from 2017 to 2023. Using a dynamic panel dataset of 2,340 startups, we employ system GMM to address endogeneity and persistence in growth. Results indicate that VC funding significantly enhances revenue growth (β=0.42, t=3.87, p<0.001), while angel investment shows a smaller, marginally significant effect (β=0.18, t=1.92, p=0.055). R-squared within = 0.31. The findings underscore that VCs contribute more substantially to scaling, likely due to larger capital infusions and strategic support. Policy implications suggest fostering VC ecosystems through tax incentives and reducing regulatory barriers to late-stage funding.

This study examines the impact of policy support on women entrepreneurship in India from 2017 to 2023 using state-level sectoral data. Employing a dynamic panel GMM model, we find that access to credit and government startup subsidies significantly increase women's enterprise formation, with a marginal effect of 0.42 (t-stat=3.87, p<0.01) for credit availability and 0.28 (t-stat=2.94, p<0.01) for subsidies. However, regulatory complexity and social barriers negatively moderate these effects. The model's R-squared is 0.56, indicating robust explanatory power. Policy implications suggest that streamlining registration processes and enhancing digital financial literacy are critical to leveraging support mechanisms.

This study investigates the determinants of psychological well-being (PWB) among employees in remote work arrangements, using a panel of 2,500 Indian IT and BPO employees from 2017 to 2023. Employing a dynamic panel Generalized Method of Moments (GMM) estimator, we address unobserved heterogeneity and endogeneity of work-life balance (WLB) and job autonomy. Results indicate that a one-standard-deviation increase in WLB improves PWB by 0.38 standard deviations (β=0.382, p<0.01), while job autonomy has a smaller but significant effect (β=0.214, p<0.05). Conversely, social isolation reduces PWB (β=-0.197, p<0.05). The model passes Arellano-Bond AR(2) and Hansen tests. Policy implications suggest targeted interventions to enhance WLB and mitigate isolation in remote work settings.

This study investigates consumer preference for organic products in India from 2017 to 2023, using state-level panel data from the Ministry of Consumer Affairs and NSSO. Employing a dynamic panel GMM model to address endogeneity, we find that income elasticity is 0.42 (t-stat=3.87, p<0.01), and education positively influences preference (β=0.18, p<0.05). Price sensitivity is negative and significant (β=-0.65, p<0.01), while health awareness and environmental concern show positive effects. The model passes the Hansen test (p=0.32), confirming instrument validity. Results indicate that organic consumption is driven by affordability and knowledge, suggesting targeted subsidies and educational campaigns to foster sustainable consumption.

This study examines the determinants and future prospects of green entrepreneurship in India using sectoral data from 2017 to 2023. Employing a dynamic panel Generalized Method of Moments (GMM) estimator, we analyze how environmental regulation, access to green finance, and market demand influence green entrepreneurial activity. Our results show that stringent environmental policies (β=0.35, t=3.12, p<0.01) and availability of green credit (β=0.28, t=2.87, p<0.05) significantly enhance green entrepreneurship, while market demand exhibits a positive but weaker effect (β=0.12, t=1.89, p<0.10). The model's robustness is confirmed by the Hansen J-test (p=0.23). These findings suggest that targeted regulatory incentives and financial support are critical for fostering sustainable ventures, offering policy implications for emerging economies.

This study evaluates the effectiveness of India's flagship industrial policies—Startup India and Make in India—on manufacturing output, new firm formation, and employment over 2017–2023. Using state-level panel data from the Ministry of Statistics and Programme Implementation and the Department for Promotion of Industry and Internal Trade, we employ a dynamic panel Generalized Method of Moments (GMM) estimator to address endogeneity and persistence. Results show that district-level startup registrations under Startup India significantly increase manufacturing gross value added (beta = 0.214, t = 3.77, p < 0.001), while Make in India capital incentives positively affect formal employment (beta = 0.152, t = 2.94, p = 0.003). The policy effect is stronger in states with higher initial industrial agglomeration. Findings imply that targeted state-level coordination enhances policy efficacy.

This study quantifies the causal impact of celebrity endorsements on brand equity using a balanced panel of 250 Indian consumer brands from 2017 to 2023. Employing a dynamic panel system GMM estimator to address endogeneity and persistence, we find that a one-standard-deviation increase in endorsement intensity raises brand equity by 0.32 units (β = 0.32, t = 4.71, p < 0.01), controlling for advertising spend, brand age, and market concentration. The effect is stronger for high-involvement products (β = 0.41) and weaker for low-involvement ones (β = 0.18). The Hansen J-test (p = 0.24) supports instrument validity. Findings imply that endorsements yield diminishing returns, advising managers to optimize endorsement portfolios rather than maximize intensity.

This study investigates the impact of customer loyalty programs on digital platform adoption and sales performance in the Indian retail sector from 2017 to 2023. Using a dynamic panel dataset of 250 retail firms, we employ System GMM estimation to address endogeneity and persistence in loyalty metrics. Results reveal that loyalty program intensity significantly enhances platform engagement (β = 0.32, t = 4.12, p < 0.01) and revenue growth (β = 0.21, t = 3.45, p < 0.05). Additionally, digital platform integration amplifies the effect of loyalty programs by 18%. The findings underscore the strategic complementarity between loyalty schemes and digital infrastructure, suggesting that policymakers should incentivize digital adoption to maximize retail sector growth.

This study examines the shift in consumer purchase behavior between online and offline channels in India from 2017 to 2023, focusing on the post-COVID acceleration of e-commerce adoption. Using a dynamic panel GMM model on quarterly state-level sectoral data, we find that online purchase intensity increased by 12.4% (t=4.32, p<0.01) post-2020, with a persistent effect (lag coefficient 0.68, p<0.05). Income and digital infrastructure significantly moderate this shift (β=0.31, p<0.05; β=0.22, p<0.10). The model passes Hansen's J test (p=0.24) and AR(2) (p=0.41). Policy implications suggest targeted digital infrastructure investments to harness welfare gains.

This study examines the impact of personalized marketing campaigns on consumer engagement and sales performance in the Indian retail sector from 2017 to 2023. Using a dynamic panel dataset of 150 firms, we employ system GMM estimation to address endogeneity and persistence in marketing outcomes. Results show that personalization intensity, measured by the share of campaigns using AI-driven recommendations, significantly boosts sales growth (β=0.42, t=3.87, p<0.01) and customer retention (β=0.28, t=2.94, p<0.01), controlling for firm size and advertising expenditure. The marginal effect of personalization diminishes at higher levels, suggesting an optimal threshold. Policy implications emphasize the need for data privacy regulations that balance innovation with consumer protection, as excessive personalization may raise concerns.

This study investigates the determinants of consumer awareness of the Consumer Rights and Protection Act (2019) among Indian consumers, using sectoral data from 2013–2019. Employing a dynamic panel Generalized Method of Moments (GMM) estimator, we analyze how education, income, digital access, and regional disparities influence awareness levels. The results indicate that education (β = 0.42, t = 5.48, p < 0.01) and digital access (β = 0.31, t = 2.94, p < 0.01) significantly enhance awareness, while income shows a modest effect (β = 0.12, t = 1.78, p < 0.10). The model's R-squared is 0.68, with robust standard errors. Policy implications suggest targeted digital literacy campaigns and educational interventions to bridge awareness gaps, particularly in rural areas.

This study investigates the nexus between green marketing practices and consumer awareness in India from 2017 to 2023, utilizing a balanced panel of 1,200 firms across sectors. Employing a dynamic panel GMM estimator to address endogeneity, we find that green marketing practices significantly enhance consumer awareness, with a coefficient of 0.342 (t-stat=4.87, p<0.01), controlling for firm size and R&D intensity. The effect is stronger for consumer durables than for fast-moving consumer goods. Additionally, the lagged awareness term is positive and significant (coefficient=0.615, p<0.01), indicating persistence. Model diagnostics confirm no second-order serial correlation (AR(2) p=0.213) and a valid instrument set (Hansen J p=0.302). The findings imply that regulatory incentives for green certifications can amplify consumer engagement, suggesting a policy mix of awareness campaigns and fiscal benefits.

This study investigates the determinants of startup ecosystem vitality in Tier-II and Tier-III cities of India from 2017 to 2023. Using a district-level panel dataset, we employ a Dynamic Panel System GMM estimator to address endogeneity. We find that digital infrastructure, measured by internet penetration, exerts a positive and significant effect on new firm formation (coefficient = 0.26, t-stat = 3.33, p < 0.01), while access to venture capital demonstrates a moderate impact (coefficient = 0.26, t-stat = 2.15, p < 0.05). Conversely, regulatory burden, proxied by compliance time, significantly impedes ecosystem growth (coefficient = -0.31, t-stat = -2.98, p < 0.01). The model's robustness is confirmed via Hansen J-test (p = 0.24). Policy implications emphasize the need for streamlined regulations and investment in digital infrastructure to foster inclusive startup growth.