Effect of Corporate Social Performance and Dividend Payout on Value of Firms An Evidence of Non-Financial Firms Listed on Pakistan Stock Exchange

The relationship between corporate social performance, Dividend Payout and Value of Firm has been an important topic of literature and the subject of comprehensive empirical literature. However, the current literature is characterized by a lack of consistent and general research studies about the nature and direction of this unique nexus. This research study aims to contribute to the literature by reviewing the comprehensive literature on this subject related to the Pakistani corporate market. The research study used a sample size of 50 non-financial firms in Pakistan for the period of ten years from 2013-2022. The data was collected from the annual reports of non-financial firms. Regression, descriptive statistics and Correlation matrix were used to establish the relationship between corporate social performance, Dividend Payout and Value of Firm. Results were computed by using “E-views” software for the data analysis. The results of the research study revealed that there is a highly significant and positive relationship between Dividend Payout and the Value of Firm while also a significant and positive relationship between Corporate Social Performance and Value of Firm.

Authors

Institutions

Publication Details

Journal
International Journal of Trends and Innovations in Business & Social Sciences
Published
2024-09-30
DOI
https://doi.org/10.48112/tibss.v2i3.888
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of Corporate Social Performance and Dividend Payout on Value of Firms An Evidence of Non-Financial Firms Listed on Pakistan Stock Exchange

Shahzad Butt, Muhammad Awais, M. Bibi
International Journal of Trends and Innovations in Business & Social Sciences
Islamic Finance and Banking Studies
article

Effect of Corporate Social Performance and Dividend Payout on Value of Firms An Evidence of Non-Financial Firms Listed on Pakistan Stock Exchange

Shahzad Butt, Muhammad Awais, M. Bibi
article en

Abstract

The relationship between corporate social performance, Dividend Payout and Value of Firm has been an important topic of literature and the subject of comprehensive empirical literature. However, the current literature is characterized by a lack of consistent and general research studies about the nature and direction of this unique nexus. This research study aims to contribute to the literature by reviewing the comprehensive literature on this subject related to the Pakistani corporate market. The research study used a sample size of 50 non-financial firms in Pakistan for the period of ten years from 2013-2022. The data was collected from the annual reports of non-financial firms. Regression, descriptive statistics and Correlation matrix were used to establish the relationship between corporate social performance, Dividend Payout and Value of Firm. Results were computed by using “E-views” software for the data analysis. The results of the research study revealed that there is a highly significant and positive relationship between Dividend Payout and the Value of Firm while also a significant and positive relationship between Corporate Social Performance and Value of Firm.

International Journal of Trends and Innovations in Business & Social SciencesVol. 2(3)
Foundation University Islamabad (PK), Bahria University (PK)
Decent work and economic growth
Openalex Percentile: Top 69%
Islamic Finance and Banking Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.