The impact of political connection and board diversity on company performance: Evidence from China

2021 ◽  
Author(s):  
Lien‐Wen Liang ◽  
Tsui‐Jung Lin ◽  
Hui‐Fun Yu ◽  
Ya‐Wen Li
Keyword(s):  
Company Performance ◽  
Political Connection ◽  
Board Diversity ◽  
The Impact

The Impact of Entrepreneur-CEOs on Company Performance

2020 ◽  
Author(s):  
Muhammad Sheraz Hassan Khan ◽  
Danish Ahmed Siddiqui
Keyword(s):  
Company Performance ◽  
The Impact

scholarly journals The Impact of Mergers and Acquisitions and Sustainability on Company Performance in the Pharmaceutical Sector

2021 ◽  
Vol 13 (12) ◽  
pp. 6525
Author(s):  
Diana Marieta Mihaiu ◽  
Radu-Alexandru Șerban ◽  
Alin Opreana ◽  
Mihai Țichindelean ◽  
Vasile Brătian ◽  
...  
Keyword(s):  
Stock Market ◽  
Mergers And Acquisitions ◽  
Performance Improvement ◽  
Score Function ◽  
Pharmaceutical Companies ◽  
Company Performance ◽  
Direct Impact ◽  
Pharmaceutical Sector ◽  
Financial Measures ◽  
The Impact

The primary goal of this study was to determine the impact of mergers and acquisitions (M&A) and the environmental, social, and governance (ESG) sustainability scores of companies. In this regard, efforts to measure and analyze the evolution of a company’s performance, taking into account financial and non-financial measures using a score function, are adapted to the pharmaceutical sector. The sample consisted of 100 leading pharmaceutical companies, ranked by stock market capitalization, who registered 30% (n = 492) of the total M&A transactions over the study period (2010–2020). There was a direct and positive link between the M&A process and the evolution of company performance. The ESG score, as an indicator for measuring sustainability, has a positive and direct impact on company performance, indicating that a high ESG score determines an increase in company performance. A similar impact is identified for companies involved in M&A processes, meaning that companies in the pharmaceutical sector tend to register a performance improvement.

scholarly journals Two Sides of the Same Coin. University-Industry Collaboration and Open Innovation as Enhancers of Firm Performance

2021 ◽  
Vol 13 (7) ◽  
pp. 3866
Author(s):  
Joana Costa ◽  
Ana Rita Neves ◽  
João Reis
Keyword(s):  
Firm Performance ◽  
Open Innovation ◽  
Primary Data ◽  
Company Performance ◽  
Innovation Ecosystem ◽  
Industry Collaboration ◽  
And Performance ◽  
Performance Results ◽  
The Impact ◽  
University Industry

Open innovation is proved to be determinant in the rationalization of sustainable innovation ecosystems. Firms, universities, governments, user communities and the overall environment are called to contribute to this dynamic process. This study aims to contribute to a better understanding of the impact of open innovation on firms’ performance and to empirically assess whether university-industry collaborations are complementary or substitutes for this activity. Primary data were collected from a survey encompassing 908 firms, and then combined with performance indicators from SABI (Spanish and Portuguese business information). Econometric estimations were run to evaluate the role of open innovation and university-industry collaboration in the firm innovative propensity and performance. Results highlight the importance of diversity in collaborations with the academia and inbound open innovation strategy as enhancers of firm performance. The two activities reinforce each other. By testing the impact of open innovation practices on company performance, the need for heterogeneity in terms of contact type and university is also demonstrated. Findings cast light on the need to reformulate existing policy packages, reinforcing the ties with academia as well as the promotion of open innovation strategies. The connection to the innovation ecosystem needs to be further encouraged as well as the promotion of persistent connections with the knowledge sources in an open and multilateral framework.

Effect of female executives on Chinese cultural media enterprise efficiency

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ying Li ◽  
Yung-Ho Chiu ◽  
Tai-Yu Lin ◽  
Hongyi Cen
Keyword(s):  
Boards Of Directors ◽  
Company Performance ◽  
Tobit Regression ◽  
Female Executives ◽  
Two Stage ◽  
Content Type ◽  
Female Directors ◽  
The Impact ◽  
Cultural Media ◽  
Better Than

Purpose As more women are now being appointed to senior and top management positions and invited to sit on boards of directors, they are now directly participating in strategic company decision-making. As female directors have been found to provide new ideas, increase company competitiveness, efficiency and performance and bring a greater number of external resources to a company than male directors, this paper aims to put female directors as a variable into the data envelopment analysis (DEA) and statistical models to explore the effect of female directors on operating performances. The DEA first quantified and measured the company efficiencies, after which the statistical model analyzed the correlations between the variables to specifically identify the impact of female decision makers on the operating efficiencies in state-owned and private enterprises. Design/methodology/approach A novel two-stage, meta-hybrid dynamic DEA was developed to explore Chinese cultural media company efficiencies under optimal input and output resource allocations, after which Tobit Regression was applied to determine the effect of female executives on these efficiencies. Findings From 2012 to 2016, the overall efficiencies in Chinese state-owned cultural media enterprises were better than in the private cultural media enterprises. The overall technology gaps (TGs) in the state-owned cultural media enterprises were better than in the private cultural media enterprises. Originality/value Previous research has tended to focus on the causal relationships between female senior executives and business performances; however, there have been few studies on the relationships between female executives and company performance from an efficiency perspective (optimal resource allocation). This paper, therefore, is the first to develop a novel two-stage, meta-hybrid dynamic DEA to examine Chinese cultural media enterprise efficiencies, and the first to apply Tobit Regression to assess the effect of female executives on those efficiencies.

scholarly journals Loss aversion, overconfidence of investors and their impact on market performance evidence from the US stock markets

2020 ◽  
Vol 25 (50) ◽  
pp. 451-478
Author(s):  
Ahmed Bouteska ◽  
Boutheina Regaieg
Keyword(s):  
Stock Market ◽  
Economic Performance ◽  
Loss Aversion ◽  
Market Performance ◽  
Ordinary Least Squares ◽  
Company Performance ◽  
Service Firms ◽  
Content Type ◽  
The Us ◽  
The Impact

Purpose The current study aims to investigate the impacts of two behavioral biases, namely, loss aversion and overconfidence on the performance of US companies. First, the impact of loss aversion on the economic performance of companies was assessed. Second, the impact of overconfidence on market performance was discussed. Design/methodology/approach This study used around 6,777 quarterly observations on the population of US-insured industrial and services companies over the 2006-2016 period. Ordinary least squares (OLS) regression in two panel data models were used to test the hypotheses formulated for the study. Findings It was documented that the loss-aversion bias negatively affects the economic performance of companies and this is achieved for both sectors. In contrast, the findings suggest that overconfidence positively affects market performance of industrial firms but negatively affects market performance in service firms. Further robust evidence was found that overconfidence bias seems to be dominant, and hence, investors may tend to be more overconfident rather than more loss-averse. Originality/value This research can be extended by focusing on the following question: What is the impact of the contradictory (positive and negative) effects of an investor's loss aversion and overconfidence on the US company performance in case of realization of a stock market crisis or stock market crash?

scholarly journals Too much reciprocity?

2020 ◽  
Vol 14 (2) ◽  
pp. 473-491
Author(s):  
Zhe Sun ◽  
Qi Ai
Keyword(s):  
Social Exchange ◽  
Social Exchange Theory ◽  
Emerging Market ◽  
Chief Executive ◽  
Political Connections ◽  
Political Connection ◽  
Content Type ◽  
Chinese Multinationals ◽  
The Government ◽  
The Impact

Purpose Using the evidence of Chinese outbound mergers and acquisitions (M&As) enacted between 2006 and 2014, this study aims to investigate the role played by home political connections on the cost implications of Chinese multinationals. It also examines whether home political connections – at different levels and of different configurations – impact the operational cost of Chinese multinationals. Design/methodology/approach The data were analysed using a multivariate regression model. To examine their heterogeneous effect on Chinese multinationals, the political connection data were further split into higher and lower level political connections and in chief executive officer (CEO) and chairperson political connections. Findings This study implies the negative effect of home political connections on the internationalisation of Chinese multinationals. At the same time, the impact of lower-level political connections is stronger than that of their higher-level counterparts. Moreover, CEO political connections have a stronger effect on the operational costs of Chinese multinationals than their Chairperson equivalents. Originality/value By unravelling the “black box” of Chinese internationalisation from the social exchange perspective, through the informal political connection networking ties between Chinese firms and the government, this study advances emerging market multinational theory, contributes to the understanding of the heterogeneous nature of political connections and sheds new light on social exchange theory from the perspective of the emerging phenomenon of Chinese internationalisation.

scholarly journals Assessing impact of base erosion and profit shifting on performance of subsidiaries of multinational corporations in Baltic countries

Equilibrium ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. 277-293
Author(s):  
Egidijus Kundelis ◽  
Renata Legenzova
Keyword(s):  
Multinational Corporations ◽  
Empirical Research ◽  
Tax Avoidance ◽  
Empirical Literature ◽  
Company Performance ◽  
Tax Rates ◽  
Profit Shifting ◽  
Baltic Countries ◽  
The Baltic ◽  
The Impact

Research background: The problem of base erosion and profit shifting by multi-national corporations has been debated from different perspectives because of its multiple impact on the key actors in the economy. Studies refer to its positive impact on companies via corporate taxes saved, but its negative impact on governments via reduced tax collection. A number of empirical studies conducted in different countries support the substantial BEPS impact on company performance, but report differences in its magnitude. Other authors claim that, despite a wide range of tax avoidance opportunities available, tax avoidance is limited due to institutional measures imposed (tax audits, penalties for non-compliance) and high implementation costs. A majority of the previous empirical research covered large countries (USA, Germany) or regions (e.g. Europe), but there is a gap in the re-search assessing the BEPS impact on multinational corporations’ subsidiaries’ performance in countries with lower corporate income tax rates such as the Baltic countries. Purpose of the article: To assess the impact of base erosion and profit shifting on multinational corporations’ subsidiaries’ performance in the Baltic countries. Methods: Empirical research is conducted based on the framework employed by Hines and Rice (1994) to measure BEPS impact on company performance. Regression analysis with fixed effects was applied to a sample of 3,422 Latvian, Lithuanian and Estonian subsidiaries of multinational corporations, which are characterized by low corporate tax rates.  The data for the period of 2007–2015 was retrieved from the Amadeus database. Findings & Value added: The research revealed that Baltic countries’ tax differentials between multinational corporations’ parent and subsidiary countries might have a significant impact on the subsidiary’s financial performance. When the tax rate differences between Baltic and the foreign countries decrease by 1%, reported profits in Baltic countries increase by 2.3%, indicating profit-shifting behaviour. This is in line with the empirical literature and practices applied by multinational corporations. It is also in favour of anti-tax avoidance measures introduced by the EC to be adopted by Baltic and other EU countries.

scholarly journals Comparison of the Significance of Clusters for Increasing Business Performance

2020 ◽  
Vol 12 (3) ◽  
pp. 172-189
Author(s):  
Eva Stichhauerova ◽  
Miroslav Zizka ◽  
Natalie Pelloneova
Keyword(s):  
Business Performance ◽  
Data Envelopment ◽  
Company Performance ◽  
Positive Relation ◽  
The Czech Republic ◽  
Cluster Membership ◽  
Cluster Group ◽  
The Impact ◽  
The Given ◽  
Positive Effect

This article focuses on the impact of clusters on performance in five selected industries. Focused on increasing the competitiveness of regions and enterprises, clusters are currently considered one of the most essential tools of industrial policy. This includes the Czech Republic, where cluster initiatives have been systematically supported since 2004 by operational programmes. The goal of this research was to determine whether cluster organizations have a positive effect on the performance of their member enterprises in various industries. Another goal was to verify the relation between the financial and innovative performance of the member enterprises. The research was carried out on a sample of five clusters in the automotive, IT, furnituremanufacturing, packaging and machinery industries, with Data Envelopment Analysis used for this performance evaluation. The enterprises were divided into three groups: companies that are members of cluster organizations, companies that are active in the same region and industry but are not members of a cluster group, and companies from the respective industry that operate outside the region of the given cluster. The results of the study indicate that in four industries (automotive, IT, packaging, machinery), member companies of cluster organizations achieve better results than non-members or firms active in other regions. On the other hand, it was not possible to prove a positive relation between company performance and their registered industrial rights, neither from the perspective of cluster membership nor their activity in the respective industry and region.

scholarly journals REGIONAL TECHNOLOGICAL LEARNING IN TURKISH CEMENT INDUSTRY

2020 ◽  
Vol 8 (4) ◽  
pp. 204-216
Author(s):  
Gurkan Calmasur ◽  
◽  
Meryem Emre Aysin ◽  
Keyword(s):  
Learning Curve ◽  
Linear Models ◽  
Raw Materials ◽  
Analysis Data ◽  
Vital Role ◽  
Learning Curves ◽  
Cement Industry ◽  
Company Performance ◽  
Technological Learning ◽  
The Impact

The learning curve reflects the reduction in average costs as the company's cumulative production increases. These curves are utilized when measuring company performance, managing production processes, and planning. In terms of cost reduction and profitability, the impact of learning is particularly important. The learning curves have been traditionally used in industries. In this study, the learning curves concerning the cement industry are examined. The cement sector inherits a high export potential in Turkey. Additionally, it is the industry branch that supplies the raw materials needed by countries' construction industries. On the other hand, the construction sector is a leading sector that mobilizes other markets. This sector is a major contributor to production, investment, and employment and plays a vital role in the development of the country. This paper aims to make a detailed analysis of the learning curves regarding the Turkish cement industry at the regional level covering the 2000-2018 period. In order to realize this aim, the linear and cubic learning models have been applied and the technological learning values for regions from 2000 to 2018 have been calculated. For the analysis, data of 68 factories operating in the Turkish cement industry obtained from Turkey Cement Manufacturers' Association have been used. The estimated results suggest that cubic models explain technological learning better than the linear models. The results indicated that learning levels differed across regions and times. While the highest learning level was observed in 2004, the highest level of forgetting was recorded in 2018. Finally, we can state that the learning curve of the Turkish cement industry between 2000 and 2018 is convex.

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