R&D STRATEGIES AND FIRM INNOVATIVE PERFORMANCE: A PANEL DATA ANALYSIS

2010 ◽  
Vol 14 (06) ◽  
pp. 1013-1045 ◽  
Author(s):  
CLAUDIO CRUZ-CÁZARES ◽  
CRISTINA BAYONA-SÁEZ ◽  
TERESA GARCÍA-MARCO
Keyword(s):  
Panel Data ◽  
Panel Data Analysis ◽  
Empirical Support ◽  
Positive Influence ◽  
Intensity Level ◽  
Innovative Performance ◽  
Process Innovations ◽  
One Year ◽  
Technological Intensity ◽  
The Impact

The aim of this research is to ascertain the effects of the different R&D strategies (RDSs) — defined as make, buy and make-buy — on firm innovative performance. In order to evaluate RDSs effects in a broader sense, and looking for robust results, we consider different measures of product and/or process innovations as indicators of firm innovative performance. Using panel data models for a sample of 1478 Spanish manufacturing firms during the period 1992–2005, we observe that all RDSs produce a positive influence over all innovation outputs, although the impact is greater for the make-buy strategy and lower for the buy strategy. These effects are conditional on temporality since the greatest impact occurs one year later and that in the second year is reduced to half. Results show that the buy strategy seems to have only short-term effects, whereas the make-buy effects are greater and last longer. In addition, we find empirical support for our proposed argument that RDS effects on firm innovativeness are moderated by technological intensity level.

scholarly journals THE IMPACT OF FISCAL DETERMINANTS ON INVESTMENTS IN EUROPEAN UNION COUNTRIES. A PANEL DATA ANALYSIS

2021 ◽  
Vol 6 (1) ◽  
pp. 1-13
Author(s):  
Sandra Clement ◽  
◽  
Eugenia Ramona Mara ◽  
Monica-Violeta Achim
Keyword(s):  
European Union ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Negative Influence ◽  
Positive Influence ◽  
Least Square ◽  
Consumption Tax ◽  
Member States ◽  
Eu Member States ◽  
The Impact

Taxation plays an important role in investment decisions and on net profit. In this view, this paper examines the fiscal determinants of investments realized by non-financial corporations in European Union (EU) countries. More exactly, the influences of profit tax and other important taxes like consumption and labor tax on the rate of investment are analysed. For this purpose, we use a panel analysis for 28 Member States from 2008 to 2018. In the presence of variables cointegration, we apply the fully modified ordinary least square (FMOLS) for investigating the long-run impact of taxation. Our results show a negative influence of the profit tax and a positive influence of consumption tax on the investment expansion. In addition, we find that the profit tax rate decreased after 2008 representing one of the most important fiscal measure adopted by the majority of EU Member States in order to stimulate the investment increase. The results are important for the governments, corporate governance of the companies and the investors, in order to understand the efficiency of their decisions to recover after a crisis. Keywords: Corporate tax policy, Rate of investment, Panel data.

scholarly journals The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis

2021 ◽  
Vol 13 (14) ◽  
pp. 7961
Author(s):  
Alexandra Fratila (Adam) ◽  
Ioana Andrada Gavril (Moldovan) ◽  
Sorin Cristian Nita ◽  
Andrei Hrebenciuc
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Maritime Transport ◽  
The European Union ◽  
Panel Data Regression ◽  
Green Investment ◽  
Port Infrastructure ◽  
The Impact

Maritime transport is one of the main activities of the blue economy, which plays an important role in the EU. In this paper, we aim to assess the impact of maritime transport, related investment, and air pollution on economic growth within 20 countries of the European Union, using eight panel data regression models from 2007 to 2018. Our results confirm that maritime transport, air pollutants (NOx and SO2) from maritime transport, and investment in maritime port infrastructure are indeed positively correlated with economic growth. In other words, an increase of 10% in these factors has generated an associated increase in economic growth rate of around 1.6%, 0.4%, 0.8%, and 0.7% respectively. Alongside the intensity of economic maritime activities, pollution is positively correlated with economic growth, and thus it is recommended that policymakers and other involved stakeholders act to diminish environmental impacts in this sector using green investment in port infrastructure and ecological ships, in accordance with the current European trends and concerns.

scholarly journals Tolerance, Cultural Diversity and Economic Growth: Evidence from Dynamic Panel Data Analysis

Economies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 20
Author(s):  
Osama Alhendi ◽  
József Tóth ◽  
Péter Lengyel ◽  
Péter Balogh
Keyword(s):  
Panel Data ◽  
Cultural Diversity ◽  
English Language ◽  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
Policy Implications ◽  
Social Tolerance ◽  
Solow Model ◽  
Related Equation ◽  
The Impact

This study aims to examine the impact of social tolerance of cultural diversity, and the ability to speak widely spoken languages, on economic performance. Based on the literature, the evidence is still controversial and unclear. Therefore, the study used panel data relating to (99) non-English speaking economies during the time period between 2009 and 2017. Following the augmented Solow model approach, the related equation was expanded, in this study, to include (besides human capital) social tolerance, the English language (as a lingua franca) and the level of openness. The model was estimated using the two-step system GMM approach. The results show that social tolerance of diversity and English language competence have a positive, but insignificant impact on the economy. Regarding policy implications, government and decision-makers can avoid the costs deriving from cultural diversity by adopting democratic and effective institutions that aim to achieve cultural justice and recognition, which, in turn, enhance the level of tolerance, innovation and productivity in the economy. Moreover, to ease intercultural communication within heterogeneous communities, it is necessary to invest in enhancing the quality of second language education which is necessary to make society more tolerant and the country more open to the global economy.

scholarly journals Impact of Population Aging on Carbon Emission in China: A Panel Data Analysis

2018 ◽  
Vol 10 (7) ◽  
pp. 2458 ◽  
Author(s):  
Weidong Li ◽  
Xin Qi ◽  
Xiaojun Zhao
Keyword(s):  
Panel Data ◽  
Carbon Emission ◽  
Population Aging ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Modern Society ◽  
Eastern Region ◽  
Low Carbon ◽  
Stirpat Model ◽  
The Impact

The impact of population structure on carbon emission has always been a key area of research in modern society. In this paper, we propose a new expanded STIRPAT model and panel co-integration method to analyze the relationship between population aging and carbon emission, based on the provincial panel data in China from 1999 to 2014. Empirical results show that there exists a significant inverted U-shaped curve between the population aging and carbon emission. There also exist regional discrepancies, where the impact of the population aging on carbon emission in the eastern region is significantly positive. By contrast, a negative relationship arises in the central and western regions. Finally, several suggestions for low carbon development are provided.

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 Service Export Sensitivity to Internet Adoption: Evidence From Dynamic Panel Data Analysis

2020 ◽  
Vol 11 (6) ◽  
pp. 259
Author(s):  
Walid Chatti ◽  
Haitham Khoj
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Developed Countries ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Internet Adoption ◽  
The Impact ◽  
Dynamic Panel Data Analysis ◽  
Service Export

This study aims to examine the causal linkages relating service exports to internet penetration for 116 countries over the period 2000-2017. Taking into account a wide panel of countries, we apply 2-Step GMM methodology for dynamic panel data models. The results show a bi-directional causality relating service exports to internet adoption for developed countries. For the global panel and developing countries, we find those same results attest a positive relationship between the internet adoption and service exports, but in the opposite way; the impact is very low and not significant. Regarding developing countries, despite the fact that internet positively affects service exports, it is considered less efficient than in developed countries.

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.

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