scholarly journals The Effects of Investment and Research Expenditure on Chemical and Pharmaceutical Industries

2019 ◽  
Vol 70 (8) ◽  
pp. 2940-2943
Author(s):  
Mihaela Simionescu ◽  
Jenica Popescu ◽  
Nela Loredana Caraba Meita
Keyword(s):  
Panel Data ◽  
Research And Development ◽  
Economic Performance ◽  
The Future ◽  
Pharmaceutical Industries ◽  
The Impact ◽  
Research Expenditure

Considering the economic performance as a target for companies in chemical and pharmaceutical sectors, the main aim of this paper is to assess the impact of investment and research expenditure on the turnover and production of the Romanian firms in these domains. A panel data approach is applied and the main results suggested that actual and previous investment did not generate an increase in the production and turnover of the companies in the period 2005-2016. However, the increase in the number of researchers and in the research expenditure slowly stimulated the production and turnover. All in all, we can state that the investment in chemical and pharmaceutical sectors are still not sustainable in Romania and the future policies of the companies should be focus more on research and development activities.

The impact of research and development and marketing costs on the profitability of pharmaceutical companies of Tehran Stock Exchange using panel data 2001-2013

2016 ◽  
Vol 10 (4) ◽  
pp. 467-476 ◽  
Author(s):  
Yahya Bayazidi ◽  
Enayatollah Homaie Rad ◽  
Mehdi Mojahedian ◽  
Mehdi Toroski ◽  
Azita Nabizadeh ◽  
...  
Keyword(s):  
Panel Data ◽  
Research And Development ◽  
Stock Exchange ◽  
Random Effect ◽  
Patent Law ◽  
Pharmaceutical Companies ◽  
Content Type ◽  
Marketing Costs ◽  
The Impact ◽  
D Investment

Purpose The main aim of this study is to investigate the effects of marketing and costs and research and development (R&D) investments on profitability of pharmaceutical companies of Iran. Design/methodology/approach In this study, pharmaceutical companies that have been accepted in Tehran Stock Exchange until March 19, 2013 were investigated. Random-effect panel data estimator was used for this purpose. Findings The findings indicate that variables such as company size, capital-to-total asset ratio and debt-to-asset ratio have an effect on profitability. But, company life, advertising cost and R&D investment are ineffective on profitability. Originality/value Legal issues like not having patent law and pricing mechanism are reasons for the ineffective relationship between R&D and marketing costs and its effect on profitability of the Iran pharmaceutical industry.

scholarly journals The Impact of Target Price Policy on Cotton Cultivation: Analysis of County-Level Panel Data from China

Agriculture ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 988
Author(s):  
Wei Wang ◽  
Chongmei Zhang ◽  
Jiahao Song ◽  
Dingde Xu
Keyword(s):  
Panel Data ◽  
Price Policy ◽  
Policy Implications ◽  
County Level ◽  
Cotton Production ◽  
Target Price ◽  
Subsidy Policy ◽  
Price Subsidy ◽  
The Future ◽  
The Impact

China is an important cotton production area in the world. Since 2014, China has implemented a cotton target price subsidy policy in Xinjiang for 7 years. As the policy implementation time has lengthened, some deep-seated problems have started to emerge. Therefore, it is necessary to summarize and evaluate to clarify the future policy direction of the cotton target price subsidy policy. Based on county-level panel data of Xinjiang and Shandong from 2011 to 2018, this paper used the Propensity Score Matching—Difference in Difference method to analyze the impact of the implementation of cotton target price subsidy policy on cotton planting in Xinjiang. The results showed that: (1) after the implementation of the cotton target price subsidy policy, cotton production was stimulated by the transition, cotton producers’ enthusiasm for cotton production was higher, cotton production increased rapidly, and the yield per unit area decreased, indicating that there was a 'bubble' in cotton cultivation. (2) The target price subsidy policy mainly achieves the expansion of the cotton planting scale by reducing the area of competitive crops. In view of the above research conclusions, this paper further explains its policy implications. It is proposed that the future cotton target price level should be formulated to fully consider the comparative benefits between different crops, to restrict the subjects that enjoy subsidies and the upper limit of subsidies, and strictly implement the concept of green development; it is necessary to guide cotton production out of ecologically vulnerable areas.

scholarly journals A model proposal for estimating banks’ future value: Evidence from Turkey

2021 ◽  
Vol 16 (4) ◽  
pp. 169-178
Author(s):  
Burhan Günay ◽  
Ayten Turan Kurtaran ◽  
Sara Faedfar
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Explanatory Power ◽  
Performance Criteria ◽  
Past Performance ◽  
Ols Regression ◽  
Significance Level ◽  
The Future ◽  
The Impact

Investors make solid decisions when evaluating their investments based on positive indicators the firm may show in the future, rather than based on its past performance. Accordingly, this study aims to investigate the relationship between performance criteria and the most significant value-based criterion; Economic Value Added (EVA). Further, it evaluates the impact of future EVA values on the bank value. Panel Data Analysis and the OLS Regression model are used to estimate the regression equation. The analysis is performed using data of 10 banks on the BIST Banks Index over the period 2011 to 2020. Furthermore, the EVA criterion was converted into standardized EVA(SEVA) by dividing EVA by total assets. The OLS regression analysis results revealed that the model’s explanatory power for the SEVA variable is 71.92%. The three variables that have positive correlation with SEVA are earnings per share (EPS) and TOBINQ rates at the 1% significance level and the price to sales growth rate with a degree of significance at 10%. Regarding the Panel Data Analysis results, while the explanatory power of the SEVA variable is 72.14%, its association with the EPS and TOBINQ criteria was found to be significant at the 1% significance level. The empirical investigations reveal that the model developed using the future SEVA as a proxy for bank value is found to be promising, and it is accepted that the SEVA variable can be used instead of the bank value.

Impact of Knowledge Based Information Systems on Organisations

1989 ◽  
Vol 4 (3) ◽  
pp. 145-158 ◽  
Author(s):  
Rodger Jamieson ◽  
Richard Szeto
Keyword(s):  
Information Systems ◽  
Research And Development ◽  
New Venture ◽  
Future Directions ◽  
Additional Information ◽  
Competitive Edge ◽  
Knowledge Based ◽  
The Future ◽  
Interview Format ◽  
The Impact

This paper investigates the impact of knowledge based information systems (KBIS) on commercial organisations. A questionnaire and interview format was used to gather information from eleven commercial organisations developing KBIS. Three prime areas were considered, namely knowledge acquisition, knowledge representation, and KBIS development methodologies. For each of these areas, the normative position as expressed in the literature is presented and then compared to the survey findings. Problems involved in the development of KBIS are mentioned as well as developers’ perceptions of the future directions for KBIS within their organisations. Additional information on each organisation is presented in an Appendix in order to provide a richer picture and background to the study. The main preliminary findings are that KBIS have made an impact on organisations in Australia who are willing to make a considerable investment of resources in this new venture. While most organisations are treating this technology as research and development, they believe that the technology will be absorbed into their mainstream information systems in the future. These systems are seen as providing a competitive edge to those organisations willing to make the investment.

scholarly journals The Impact of Chair–Team Sociodemographic Dissimilarity on the Relation Between Chair Power and Entrepreneurial Ventures’ R&D Intensity: Evidence From China

2021 ◽  
Vol 11 ◽  
Author(s):  
Yaoyi Zheng ◽  
Shufen Dai ◽  
Yueting Li ◽  
Yi Su
Keyword(s):  
Panel Data ◽  
Social Identity ◽  
Research And Development ◽  
Entrepreneurial Firms ◽  
Entrepreneurial Ventures ◽  
Empirical Results ◽  
Growth Enterprise Market ◽  
The Impact ◽  
The Relationship ◽  
China’S Growth

Contemplating the actual leaders of entrepreneurial firms and socio demographic dissimilarity between leaders and their teams, this study adopts panel data on the entrepreneurial firms of the China’s Growth Enterprise Market and empirically examines the influence of chair power on research and development (R&D) intensity of entrepreneurial firms from the perspective of social identity. The results indicate that chair power positively affects entrepreneurial firms’ R&D intensity. The chair–team sociodemographic dissimilarity moderates the relationship in such a way that chair power is negatively related to entrepreneurial firms’ R&D intensity only when chair–team sociodemographic dissimilarity is high. The execution of robustness checks authenticates the veracity of the empirical results.

scholarly journals Combining Configurable Interaction Anticipation Challenges and Volitional Aspects in the Analysis of Digital Posthumous Communication Systems

2017 ◽  
Vol 8 (2) ◽  
pp. 1
Author(s):  
Fabrício Horácio Sales Pereira ◽  
Raquel Oliveira Prates ◽  
Cristiano Maciel ◽  
Vinícius Carvalho Pereira
Keyword(s):  
Research And Development ◽  
Communication Systems ◽  
Legacy Systems ◽  
Inspection Method ◽  
The Future ◽  
The Moment ◽  
The Impact ◽  
Do So

Digital posthumous communication systems are those that allow users to create messages that will only be sent to the intended recipients after their deaths. In these systems users have to express their wishes through configuration settings which will only take effect in the future, when the user is no longer available. In this paper, we propose a methodology that allows us to analyze posthumous communication systems and focuses on users’ decisions and how users can understand their future impact at the moment when they are making such decisions. To do so, we have combined the Semiotic Inspection Method (SIM) with the Configuration for Interaction Anticipation Challenges and recommendations on volitional aspects in digital legacy systems. Such analytical lenses were used to inspect three digital posthumous communication systems: If I Die, Se Eu Morrer Primeiro and Dead Man's Switch. The result of our analysis is a thorough account of the decisions designers have made available to users, as well as how they convey what the impact of these decisions will be when they come into effect. Our discussion of these systems and of the challenges identified contributes to the research and development of digital legacy systems in general. The methodology described is a relevant contribution to research on digital legacy and on digital posthumous communication, and also supports the consolidation of the challenges and recommendations used in this analysis.

scholarly journals Creating value through related and unrelated merger and acquisition: Empirical evidence

2021 ◽  
Vol 18 (4) ◽  
pp. 67-76
Author(s):  
Isha Gupta ◽  
T. V. Raman ◽  
Naliniprava Tripathy
Keyword(s):  
Logistic Regression ◽  
Panel Data ◽  
Research And Development ◽  
Regression Model ◽  
Value Creation ◽  
Logistic Regression Model ◽  
Financial Sector ◽  
Merger And Acquisition ◽  
Response Variable ◽  
The Impact

The main objective of this paper is to examine the impact of related/unrelated merger and acquisition (M&A) on value creation and research and development (R&D) of Indian non-financial sector companies. This study focuses on whether related M&A outperforms unrelated M&A in the context of value creation and R&D. The sample of the study includes 64 companies to evaluate the significance of relatedness and unrelatedness between target and acquiring companies of the Indian non-financial sector using panel data from the period from 2015 to 2020. The study employs a logistic regression model, which is a predictive model employed wherein the response variable is categorical. The idea of logistic regression is to establish a relationship between variables and the probability of a given outcome. The results of our outcome reveal that partner familiarity affects the post-acquisition value creation and R&D. Further, the findings of the study acclaim that related M&A outperform unrelated M&A. The study indicates that related M&A create positive value but influence negatively to R&D. The findings of the study have several implications for the managers and policymakers who need to understand the dynamics of related/unrelated mergers to take a valid judgment before making merger and acquisition decisions

scholarly journals The Impact of Workers’ Remittances on Economic Growth: Panel Data Approach for Selected Country Group

2018 ◽  
Vol 6 (1) ◽  
pp. 45
Author(s):  
Burçak Polat
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Economic Performance ◽  
Panel Data Analysis ◽  
Recent Decade ◽  
Economic Growth Rate ◽  
The World ◽  
Per Capita ◽  
Economic Growth Rates ◽  
The Impact

Recent decade has witnessed the growing importance of remittances as a source of foreign income for many developing countries. Thus, as the value of remittances around the world increases, many researchers attempt to analyze the remittances’ effects on economic performance. Yet, real effect of remittances on economic growth rate is still controversial issue in the literature. Therefore, main objective of this study is to analyze the linkage between economic growth rates and remittance inflows into eight largest recipient countries of the global remittances by employing panel data analysis for the period 1990-2015. Our findings reveal that there is no significant relationship between remittances and growth. Yet, the study has empirically proved that growth is positively associated with gross capital formations and GDP per capita while it is negatively related with inflation and openness index.

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