The Impact of Socio-Economic Determinants on Corruption in Asian Countries : A Panel Data Analysis

2018 ◽  
Vol 23 (1) ◽  
pp. 205-224
Author(s):  
Myeong-Joo Kang
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Asian Countries ◽  
Economic Determinants ◽  
The Impact

scholarly journals Financial Hegemony, Diversification Strategies and the Firm Value of Top 30 FTSE Companies in Malaysia

2016 ◽  
Vol 12 (3) ◽  
pp. 14
Author(s):  
Wan Sallha Yusoff ◽  
Mohd Fairuz Md. Salleh ◽  
Azlina Ahmad ◽  
Norida Basnan
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Firm Value ◽  
Financial Stability ◽  
Panel Data Analysis ◽  
Location Decisions ◽  
Asian Countries ◽  
Diversification Strategies ◽  
The Stability ◽  
Southeast Asian Countries

<p>This study investigates the relationships between financial hegemony groups, global diversification strategies and firm value of the Malaysia’s 30 largest companies listed in FTSE Bursa Malaysia Index Series during 2009 to 2012 period. We chose Malaysia as an ideal setting because the findings contribute to the phenomenon of the diversification–performance relationship in the Southeast Asian countries. We apply hegemony stability theory to explain the importance of financial hegemony groups in deciding international locations for operations. By using panel data analysis, we find that financial hegemony groups are significantly important in international location decisions. Results reveal that the stability of financial hegemony in BRICS and G7 groups enhances the financial value of the Malaysia’s 30 largest companies, whereas the stability of financial hegemony in ASEAN groups is able to enhance the non-financial value of the firms. Overall, this paper suggests that in order to diversify globally, it is necessarily for the manager in the guest country to evaluate and fully understand the host country’s geopolitical situation and its financial stability.</p>

scholarly journals Impact of Digitalization on the Farmers in India: Evidence using Panel Data Analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 5-12
Author(s):  
Rahul Singh Gautam ◽  
◽  
Venkata Mrudula Bhimavarapu ◽  
Dr. Shailesh Rastogi ◽  
◽  
...  
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Development Model ◽  
Agriculture Sector ◽  
Economic Progress ◽  
New Development ◽  
The Impact ◽  
Financial Technology

The composition of digitalization and financial technology has brought about a new development model for the agriculture sector. What is the impact of digitization on India’s farmers? To answer this issue, this article examines the effects of digitalization on farmers in India using secondary data from 2018 to 2020, based on the idea of digitalization. It analyses the transmission of digitalization among Indian farmers using panel data analysis. The conclusions are as follows: Farmers' income can be significantly increased by digitalization, and farmers' digitization has resulted in agriculture sector development and contributed to economic progress.

scholarly journals Corporate Governance Codes and Intellectual Capital: Evaluating the Performance Impacts among Government-Linked Companies in Malaysia and Singapore – A Panel Data Analysis

2021 ◽  
Vol 124 ◽  
pp. 08004
Author(s):  
Yen Wen Chang ◽  
Ng Ching Yat David ◽  
Suet Cheng Low ◽  
Peck Ling Tee
Keyword(s):  
Corporate Governance ◽  
Data Analysis ◽  
Panel Data ◽  
Intellectual Capital ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Policy Makers ◽  
Corporate Governance Codes ◽  
The Government ◽  
The Impact

The objective of this study was to examine and compare the effects of corporate governance (CG) and intellectual capital (IC) between Malaysia Government-Linked Companies’ (M-GLCs) and Singapore Government-Linked Companies’ (S-GLCs) firm performance (FP). Panel data analysis was employed to analyse the impact of CG’s variables and IC’s variables on FP. FP was measured by Return on Total Assets (ROA), Tobin’s Q and Earnings Per Share (EPS). Data was gathered from the website of Bursa Malaysia and the Stock Exchange of Singapore from 2005 to 2018. The sample size of this research was 60 GLCs which comprised of 34 M-GLCs and 26 S-GLCs. There were a total 840 firm year observations. Results indicated that CGs of S-GLCs have greater impact on FP when compared to M-GLCs while the findings of the IC of M-GLCs have greater impact on FP compared to S-GLCs. This research was helpful in offering further insights of CG practices and IC efficiency to the Government, Board of Directors, policy makers, shareholders and stakeholders.

Effects of content characteristics on stages of customer engagement in social media: investigating European wine brands

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aspasia Vlachvei ◽  
Ourania Notta ◽  
Eirini Koronaki
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Customer Engagement ◽  
Content Type ◽  
Interactive Engagement ◽  
Long Run ◽  
Three Stages ◽  
The Impact

PurposeThis study advances knowledge of interactive marketing strategies by examining the effect of different content types on the three stages of customer engagement (CE) in social media, namely, relationship formation, engagement creation and engagement contribution, for European wine brands.Design/methodology/approachBoth quantitative and qualitative content analyses are conducted; a panel data analysis validates the impact of content type on the three stages of CE in social media.FindingsThe results indicate that remunerative content is the most consistent and promising strategy for enhancing all three stages of CE in social media. Social content motivates consumers to interact with wine brands by commenting, which is the most demanding and time-consuming form of engagement.Practical implicationsThe empirical results offer valuable directions for managers and marketers of European wine brands on creating and maintaining optimal interactive engagement in all three stages with their Facebook communities over the long run.Originality/valueThis study is one of the first to empirically examine, through objective measurement, how content type affects the three stages of CE in social media. The case of European wine brands is examined, over time, through a panel data analysis.

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