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De Silva, G, Perera, B and Rodrigo, M (2019) Adaptive reuse of buildings: the case of Sri Lanka. Journal of Financial Management of Property and Construction, 24(01), 79–96.

K.V., P, V., V, R., V and Bhat, N (2019) Analysis of causes of delay in Indian construction projects and mitigation measures. Journal of Financial Management of Property and Construction, 24(01), 58–78.

Osei-Kyei, R, Chan, A P, Yao, Y and Mazher, K M (2019) Conflict prevention measures for public–private partnerships in developing countries. Journal of Financial Management of Property and Construction, 24(01), 39–57.

Santoso, D S and Bourpanus, N (2019) Moving to e-bidding. Journal of Financial Management of Property and Construction, 24(01), 2–18.

Singla, H K and Samanta, P K (2019) Determinants of dividend payout of construction companies: a panel data analysis. Journal of Financial Management of Property and Construction, 24(01), 19–38.

  • Type: Journal Article
  • Keywords: India; Profitability; Construction; Dividend; Life cycle;
  • ISBN/ISSN: 1366-4387
  • URL: https://doi.org/10.1108/JFMPC-06-2018-0030
  • Abstract:
    This paper aims to examine the determinants of the dividend policy of the construction companies in India. Design/methodology/approach Data from 2011 to 2016 (six years) of 45 listed construction companies in India are collected, and a strong balanced panel is created. Dividend per share is dependent variable, and profitability, unstable earnings, institutional holding, cash flow, tangibility, liquidity, growth opportunities, age of the firm, life cycle, leverage, size of firm and taxation are explanatory variables. The panel is tested for stationarity and finally fixed and random-effect panel regression model with robust estimation option is performed. Findings The random effect model is found fit with an R2 of 62 per cent, and profitability, life cycle and size of the firm show a significant positive effect on dividend payment. Cash flow shows a negative significant relationship, indicating the presence of agency problem. Rest of the variables indicated an insignificant relationship. Research limitations/implications The study is carried out on a small sample of 45 companies with data of only six years. Further, there may be behavioral and psychological factors that drive the decision to declare dividend. Those factors have not been considered in present study. Despite considerable efforts, the author could not find more studies specific to the construction sector. Hence, the variables identified in the present study are more generic, even though a few sector-specific studies have been included. Originality/value The dividend policy determinants for the construction sector in India are investigated, and a comprehensive model based on 12 explanatory variables is tested to find the drivers of dividend payout in Indian construction companies. From the investor’s point of view, the sector has immense potential in terms of dividend as well as capital appreciation. Therefore, the study can be useful to the investors to understand the drivers of dividend payout in the construction sector. It can also be crucial for companies to create an appropriate dividend policy so as to attract and retain investors. The study contributes significantly to the existing body of knowledge by recommending the salient drivers of dividend payout in the construction sector based on a comprehensive dataset and using robust methodology.

Velho Júnior, V E, Costa Melo, I, Alves Junior, P N and Rebelatto, D A d N (2019) Analysis of real estate management of lease service agreements by the public sector of a Latin American metropolis. Journal of Financial Management of Property and Construction , 24(01), 97–122.