scholarly journals Applying Quantile Regression to Assess the Relationship between R&D, Technology Import and Patent Performance in Taiwan

2021 ◽  
Vol 14 (8) ◽  
pp. 358
Author(s):  
Chung-Chu Chuang ◽  
Chung-Min Tsai ◽  
Hsiao-Chen Chang ◽  
Yi-Hsien Wang
Keyword(s):  
Research And Development ◽  
Quantile Regression ◽  
Time Lag ◽  
Empirical Results ◽  
Quantile Regression Model ◽  
Lag Period ◽  
The Times ◽  
The Relationship ◽  
D Investment ◽  
Patent Management

Electronics companies are facing global economic and trade competition. As patents can form an endowment shield that protects the development of corporate capabilities, companies are actively increasing their number of patents and attaching importance to technological research and development and patent management to achieve differentiated strategic effects. As such, patent layout and research and development (R&D) investment have become important strategic weapons for Taiwanese manufacturers, with which to enter the international market or compete among enterprises. This study first utilized the principal components analysis method to define patents in terms of the number of patents and the times patents are cited, with R&D defined in terms of expenditure and intensity. Furthermore, this study used a quantile regression model to visualize the relationship between R&D, technological imports, and patent performance in Taiwanese listed electronics companies. The empirical results show that technological imports in the second time-lag period require patents, while the effect on patents varies alongside industry characteristics. In addition, the empirical results found that the total assets, number of employees, and number of patent inventors are also factors that significantly affect patents. This research proposes that Taiwan’s listed electronics companies should expand their scale, increase their economic efficiency, maximize their resources, increase their patents, enhance their corporate value, boost their investor confidence, and improve their industry competitiveness.

scholarly journals Tanggung Jawab Sosial Dan Risiko Sistematis: Efek Moderasi Dari Fleksibilitas Keuangan Dan Investasi Penelitian Dan Pengembangan

2021 ◽  
Vol 4 (2) ◽  
pp. 162-185
Author(s):  
Anita Anita ◽  
Lisa Lim
Keyword(s):  
Regression Analysis ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Research And Development ◽  
Stock Prices ◽  
Systematic Risk ◽  
Financial Flexibility ◽  
Corporate Social ◽  
The Relationship ◽  
D Investment

The study is conducted with the aim of examining the effect of corporate social responsibility on systematic risk in companies listed on the IDX for the period of 2016-2020. This study adds financial flexibility and research and development investment as moderators which are still remain unexplored in Indonesia. This research is expected to be able to make investors consider social responsibility as a factor in making investment decisions. The data taken are stock prices, annual reports and sustainability reports which are secondary data. Data collection using purposive sampling method with certain criteria so that the number of samples in this study amounted to 43 companies. In testing the hypothesis using panel data regression analysis techniques with eviews. The results of the regression analysis show that the existence of corporate social responsibility has a significant positive effect on systematic risk. The moderating variable of financial flexibility does not affect the relationship between CSR and systematic risk. Then the research and development investment variables weaken the relationship between CSR and systematic risk. Therefore, management is expected to pay attention to R&D investment in making CSR policies. This study explains that R&D investment is one of the important roles in company sustainability.

scholarly journals Non-Stationary Flood Frequency Analysis Using Cubic B-Spline-Based GAMLSS Model

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1867
Author(s):  
Chunlai Qu ◽  
Jing Li ◽  
Lei Yan ◽  
Pengtao Yan ◽  
Fang Cheng ◽  
...  
Keyword(s):  
Quantile Regression ◽  
Frequency Analysis ◽  
Flood Frequency ◽  
Flood Frequency Analysis ◽  
Design Flood ◽  
Statistical Parameters ◽  
B Spline ◽  
Quantile Regression Model ◽  
Design Values ◽  
The Relationship

Under changing environments, the most widely used non-stationary flood frequency analysis (NFFA) method is the generalized additive models for location, scale and shape (GAMLSS) model. However, the model structure of the GAMLSS model is relatively complex due to the large number of statistical parameters, and the relationship between statistical parameters and covariates is assumed to be unchanged in future, which may be unreasonable. In recent years, nonparametric methods have received increasing attention in the field of NFFA. Among them, the linear quantile regression (QR-L) model and the non-linear quantile regression model of cubic B-spline (QR-CB) have been introduced into NFFA studies because they do not need to determine statistical parameters and consider the relationship between statistical parameters and covariates. However, these two quantile regression models have difficulties in estimating non-stationary design flood, since the trend of the established model must be extrapolated infinitely to estimate design flood. Besides, the number of available observations becomes scarcer when estimating design values corresponding to higher return periods, leading to unreasonable and inaccurate design values. In this study, we attempt to propose a cubic B-spline-based GAMLSS model (GAMLSS-CB) for NFFA. In the GAMLSS-CB model, the relationship between statistical parameters and covariates is fitted by the cubic B-spline under the GAMLSS model framework. We also compare the performance of different non-stationary models, namely the QR-L, QR-CB, and GAMLSS-CB models. Finally, based on the optimal non-stationary model, the non-stationary design flood values are estimated using the average design life level method (ADLL). The annual maximum flood series of four stations in the Weihe River basin and the Pearl River basin are taken as examples. The results show that the GAMLSS-CB model displays the best model performance compared with the QR-L and QR-CB models. Moreover, it is feasible to estimate design flood values based on the GAMLSS-CB model using the ADLL method, while the estimation of design flood based on the quantile regression model requires further studies.

scholarly journals The Relationship between Cognitive Impairment and Social Vulnerability among the Elderly: Evidence from an Unconditional Quantile Regression Analysis in China

2019 ◽  
Vol 16 (19) ◽  
pp. 3684 ◽  
Author(s):  
Junkai Zhao ◽  
Xinxin Zhang ◽  
Zongmin Li
Keyword(s):  
Cognitive Impairment ◽  
Quantile Regression ◽  
Social Vulnerability ◽  
Positive Association ◽  
The Elderly ◽  
Quantile Regression Model ◽  
Unconditional Quantile Regression ◽  
Quantile Regression Analysis ◽  
Physical Limitations ◽  
The Relationship

As the global proportion of the elderly population has been growing rapidly, it has become important to better understand the holistic social factors involved in cognitive impairment in the elderly. To investigate the relationship between social vulnerability and cognitive impairment in the elderly, this study applied an unconditional quantile regression model on open source health survey data in China. It was used to estimate the relationship for full sample and subsamples divided by different levels of a specific covariate. It was found that the cognitive impairment had a positive association with social vulnerability, and this relationship is stronger at the higher cognitive impairment quantiles. The cognitive impairment of females and elderly who took less exercise; had lower self-rated health; had greater incidences of depression, chronic diseases, and physical limitations; and consumed less fruit and vegetables, milk and tea were more related to social vulnerability. These results provide some insights into the strategies that could be used by the elderly to decrease the risk of cognitive impairment.

Comparison of International Differences in the Volatility of Economic Growth and Non-Performing Loan Ratio: A Statistical Study Based on the Quantile Regression Model

2017 ◽  
Vol 21 (6) ◽  
pp. 1094-1101
Author(s):  
Song Qin ◽  
Zhenlei Wang ◽  
◽  
◽  
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Quantile Regression ◽  
Regression Models ◽  
Banking Sector ◽  
Statistical Study ◽  
Quantile Regression Model ◽  
The Us ◽  
The Impact ◽  
The Relationship

What is the level of non-performing loans in China’s banking sector and in different countries? Has the relationship between economic growth and the non-performing loan ratio changed? Is there a difference in the effect of the economic growth of different economies on the rate of non-performing loans in the banking sector? This study analyzes the relationship between economic growth and the non-performing loan ratios and characteristics of 13 countries from 2005-2014 based on quantile regression models with panel data. The results showed that the relationship between economic growth and the non-performing loan ratio was positive before the financial crisis in 2008 but was negative after 2008. The non-performing loan ratio in Canada, Mexico, and the US was low before 2008 and high after 2008. The impact of economic growth on the non-performing loan ratio was more significant for countries with a high non-performing loan ratio than for countries with a low non-performing loan ratio.

scholarly journals Circular Causality of R&D and Export in EU countries

2015 ◽  
Vol 1 (1) ◽  
pp. 82 ◽  
Author(s):  
Dilek Cetin ◽  
Michele Cincera
Keyword(s):  
Research And Development ◽  
Manufacturing Industry ◽  
Community Innovation Survey ◽  
Eu Countries ◽  
Export Behaviour ◽  
Knowledge Intensive ◽  
The One ◽  
Circular Causality ◽  
The Relationship ◽  
D Investment

The main objective of the study is to explore the relationship between Research and Development (R&D) investments and export behaviour in EU countries in the aspect of competitiveness. To this end, the micro-aggregated Community Innovation Survey 3 (CIS3) is used. Both the volume and the decision of R&D investment and export are found to be mutually dependent. Particularly, in manufacturing industry, the effect of export on R&D is underestimated and the one of R&D on export is overestimated. In the knowledge intensive sectors, circular causality link is broken between the R&D and export.

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 Corporate R&D and Creditor Value: A Contingency Perspective

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Jiameng Ma
Keyword(s):  
Corporate Governance ◽  
Manufacturing Sector ◽  
Institutional Arrangement ◽  
Curvilinear Relationship ◽  
Listed Firms ◽  
Managerial Entrenchment ◽  
Empirical Results ◽  
Contingency Perspective ◽  
The Relationship ◽  
D Investment

This study investigates the relationship between corporate R&D and creditor value. The empirical results suggest that such relationship is contingent on the situations of existing R&D investment and institutional arrangement of corporate governance. We find that R&D investment increases creditor value when insufficient R&D threatens survival, while reduces creditor value when such threat is mitigated. Moreover, such curvilinear relationship is mainly driven by firms with relatively weak managerial entrenchment. Hypotheses are tested with 98 U.S. listed firms in manufacturing sector over 2001-2007.

scholarly journals The effects of R&D intensity and internationalization on the performance of non-high-tech SMEs

2017 ◽  
Vol 36 (1) ◽  
pp. 81-103 ◽  
Author(s):  
Lucas WA Booltink ◽  
Ayse Saka-Helmhout
Keyword(s):  
Firm Performance ◽  
Research And Development ◽  
Critical Threshold ◽  
High Tech ◽  
High Tech Sector ◽  
And Performance ◽  
The Relationship ◽  
D Investment ◽  
Level Of Risk

Research and Development (R&D) investment is seen as a fundamental driver of high-tech small and medium-sized (SME) firm performance. However, the same driver may be constraining growth among non-high-tech SMEs as it increases the level of risk faced by such firms. We challenge this argument by examining the relationship between R&D intensity and performance among non-high-tech SMEs. While the size of R&D investments is, by definition, limited in the non-high-tech sector, our study shows that such investments are important for non-high-tech firms. There is, however, an inverted U-shaped relationship between R&D intensity and performance among non-high-tech SMEs. Furthermore, increased internationalization leads non-high-tech SMEs to exploit their R&D investment more effectively to enhance firm performance, provided that R&D investment levels exceed a critical threshold.

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