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A study of capital structure of Indian manufacturing small and medium consumer goods enterprises

Sunit Prasad et al.

International Journal of Indian Culture and Business Management2026https://doi.org/10.1504/ijicbm.2026.151834article
AJG 1
Weight
0.50

What the paper says

Researchers worldwide have noted that SMEs confront serious financial management challenges that jeopardise their viability. How to finance their ventures is an issue that Indian SMEs are facing. Their personal funds and short-term debt play a major role in the current funding scenario. To comprehend the financial behaviour of Indian SMEs (especially those in the consumer goods industry), this study focuses on firm-specific determinants influencing the capital structure. Stagnant growth and the annual increase in sick units are the main reasons for selecting a given industry; more crucially, the financial behaviour of a particular SME business has not been examined more frequently. Panel data regression is used to assess the effect of firm-specific determinants on the capital structure of the setup for the period 2006-2017. The sample consists of 244 active non-financial functioning enterprises. Based on their operational demands, entrepreneurs select the inappropriate financing ratio, according to the findings.

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https://doi.org/https://doi.org/10.1504/ijicbm.2026.151834

Or copy a formatted citation

@article{sunit2026,
  title        = {{A study of capital structure of Indian manufacturing small and medium consumer goods enterprises}},
  author       = {Sunit Prasad et al.},
  journal      = {International Journal of Indian Culture and Business Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijicbm.2026.151834},
}

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A study of capital structure of Indian manufacturing small and medium consumer goods enterprises

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.