Profitability determinants of infrastructure public private partnerships (PPPs): Empirical evidence from Indian data

Kumar, A; Srivastava, V; Tabash, M I and Chawda, D (2022) Profitability determinants of infrastructure public private partnerships (PPPs): Empirical evidence from Indian data. Journal of Financial Management of Property and Construction, 27(1), pp. 91-111. ISSN 1366-4387

Abstract

Purpose: The purpose of this study is to empirically investigate the variables having an impact on profitability of public private partnerships (PPPs) in India using a balanced panel data of 171 unlisted PPPs from different infrastructure sectors such as road, power generation, real estate and ports. Design/methodology/approach: Estimations were done using Arellano–Bond dynamic panel data estimation and seemingly unrelated regression models on a balanced panel data of 855 firm-years for 171 unlisted PPPs in India. To further test the estimation robustness, panel-corrected standard errors model was used. Findings: The study findings indicate that in firm-specific factors, leverage, size, non-debt tax shield, growth and risk have significant positive impact on PPPs' profitability, whereas in macroeconomic factors, only inflation has significant positive relationship. Although the relationship of all determinants is in sync with various theories and approaches, but these are not significant. Using the robustness test, the results are found to be robust and consistent with resource-based view and strategy-structure-performance approaches. Practical implications: As PPPs are gaining prominence in the development of infrastructural resources, their profitability is of significant importance to drive private investments in infrastructure development, the identification of factors which determine profitability is critical for researchers, practitioners, policymakers and fund providers such as equity investors and debt providers. Originality/value: The empirical literature on profitability determinants is focused on various sectors including small and mid-size enterprises (SMEs) and micro firms, but to the best of the authors' knowledge, this is the first study, in both developed and developing economies, to empirically investigate the determinants of profitability for PPPs.

Item Type: Article
Uncontrolled Keywords: arellano–bond dynamic panel data estimation; India; infrastructure PPPs; profitability determinants; rbv and ssp; sur method
Index terms: real estate, profitability, India, determinant, public private partnership, private investment, power generation, regression model, investor, estimation, inflation, methodology, evidence, practitioner, infrastructure sector, resource-based view, strategy, developing economy, infrastructure development
Subjects: sociology, industry analysis, statistical analysis, management, economic development, research methods, Geography, infrastructure engineering, real estate economics, energy systems, contractual arrangements, financial and cost management, economic analysis, evaluation and assessment methods, risk assessment, practitioner
Topics: Sustainability, Procurement, Risk Management, Stakeholder Management, Roles and Professions, Engineering Principles, Research Practice, Geographical Context, Cost Management, Business Strategy, International Construction, Urban Studies
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here