Research on the Capital Structure Decisions of China Logistics Industry: Using the Unbalanced Panel Data Analysis

2016 ◽  
Vol 10 (1) ◽  
pp. 169-180
Author(s):  
Le Zhang ◽  
Shaozhong Yu
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Capital Structure ◽  
Panel Data Analysis ◽  
Logistics Industry ◽  
Unbalanced Panel Data ◽  
The Capital Structure

scholarly journals KARAKTERISTIK PERUSAHAAN DAN STRUKTUR MODAL USAHA KECIL DAN MENENGAH DI INDONESIA: ANALISIS DATA PANEL

2021 ◽  
Vol 11 (1) ◽  
pp. 64
Author(s):  
Rachmaniar Myrianda Dwiputri ◽  
Najmudin Najmudin
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Capital Structure ◽  
Panel Data Analysis ◽  
Fixed Effect ◽  
Current Ratio ◽  
Tangible Assets ◽  
The Relationship ◽  
The Capital Structure

The purpose of this paper is to determine the firm’s characteristics and capital structure of SMEs registered in Indonesia. This study use panel data analysis for twenty-five firms over three years (2016-2018). The samples of this study were 25 Indonesian SMEs registered in the Pefindo25 index. The capital structure determinants are expressed as a function of size, tangible assets, current ratio, return on asset, and growth. This study used a pooled fixed effect to estimate the relationship between the variables. The result shows that the capital structure of registered SMEs in Indonesia is negatively affected by size, current ratio, return on asset, and growth. Registered SMEs in Indonesia have a capital structure that is in line with POT predictions.

Capital structure of social purpose companies – a panel data analysis

2015 ◽  
Vol 5 (4) ◽  
pp. 234-254 ◽  
Author(s):  
Aleksandra Szymańska ◽  
Stijn Van Puyvelde ◽  
Marc Jegers
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Capital Structure ◽  
Panel Data Analysis ◽  
Social Purpose

scholarly journals CEO Media Exposure and Green Technological Innovation Decision: Evidence from Chinese Polluting Firms

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Chen Wang ◽  
Yuanlin Hu ◽  
Jianhua Zhang ◽  
Chenglin Miao
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Technological Innovation ◽  
Panel Data Analysis ◽  
Media Exposure ◽  
State Ownership ◽  
Upper Echelons Theory ◽  
Polluting Firms ◽  
The Relationship ◽  
Unbalanced Panel Data

The upper echelons theory is utilized to establish how CEO’s attributes affect firm’s technological innovation decisions. The extant literature has largely ignored the impacts of CEO media exposure. An unbalanced panel data analysis is used to examine the effects of CEO media exposure on Chinese polluting firm’s green technological innovation. It is illustrated that CEO media exposure generally enhances Chinese polluting firms’ green technological innovation decisions. In addition, we find that firms with state ownership and environmental regulations all moderate positively the relationship between CEO media exposure and green technological innovation. The research suggests that CEO media exposure appears to be a stimulus to firm’s green technological innovation decisions.

Crisis Effects on the Capital Structure Determinants for Manufacturing Companies

2013 ◽  
pp. 225-240
Author(s):  
Osman Sahin
Keyword(s):  
Data Analysis ◽  
Capital Structure ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Hierarchy Theory ◽  
Manufacturing Companies ◽  
Crisis Period ◽  
Istanbul Stock Exchange ◽  
The Capital Structure

The purpose of the study is to investigate crisis effects on the capital structure determinants for manufacturing companies listed on the Istanbul Stock Exchange Market (ISE) in Turkey for the period 2005-2010. This period is divided into two parts: The period of 2005-2007 is used as pre-crisis period, and the period of 2008-2010 is used as a crisis period. The periods are compared to understand crisis effect on the capital structure determinants. The panel data analysis is used for this study. Short term, long term, and total debt ratios are used as a proxy for the analysis. The sample consists of 138 manufacturing companies in Turkey over the period of 2005-2010. As a result, manufacturing companies’ capital structure is usually determined in accordance with the financial hierarchy theory. During financial crisis, the effects of capital structure determinants deviate from expectations.

CAPITAL STRUCTURE OF CONSTRUCTION SECTOR IN MEXICO: PANEL DATA ANALYSIS

2015 ◽  
Vol 15 (3) ◽  
pp. 51-56
Author(s):  
Juan Gaytan-Cortes ◽  
Gonzalo Maldonado-Guzman ◽  
Juan Bargas-Baraza
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Capital Structure ◽  
Panel Data Analysis ◽  
Construction Sector

Capital Structure of Portuguese Service Industries: A Panel Data Analysis

2007 ◽  
Vol 27 (5) ◽  
pp. 549-562 ◽  
Author(s):  
Paulo J. Maçãs Nunes ◽  
Zélia M. Serrasqueiro
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Capital Structure ◽  
Panel Data Analysis ◽  
Service Industries
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