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Article
Publication date: 26 February 2021

Senthilkumar Thangavelu, Sangeetha Gunasekar and Amalendu Jyotishi

The purpose of this paper is to understand the nature of the feedback effects of economic growth on innovation. The question is whether the economies with higher levels of…

291

Abstract

Purpose

The purpose of this paper is to understand the nature of the feedback effects of economic growth on innovation. The question is whether the economies with higher levels of endowments have a declining feedback effect of income on innovation and contribute to the development of effective innovation policies are raised.

Design/methodology/approach

This study hypothesizes that innovation input’s response to economic growth in terms of income is an inverted “U” shaped path, whereas the innovation output’s response to income is positive and asymptotic. This paper uses the global innovation index data of 154 countries over the period 2013–2017 on innovation and gross domestic product for the analysis using the fixed-effect regression models.

Findings

The results confirmed the inverted U shaped relationship in the line of Kuznets’s curve for innovation input and that of negative slope and asymptotic behaviour for innovation output.

Research limitations/implications

In this study, the analysis performed using the global innovation index 2013–2017 data. This study can be extended at each factor level to understand this phenomenon in depth with more data and to help in improving the innovation policies for the betterment of the economic growth.

Practical implications

This study suggests that developed countries need to guard against complacency in their innovation efforts because of the asymptotic nature exhibited through the effective development of innovation policies. The developing economies can look forward to establishing themselves in the domains of innovation input through imitation of technologies.

Originality/value

This paper extends the study of feedback effects of economic growth on innovation. This study brings out the nature of feedback effects of economic growth on input innovation and output innovation activities. The results show a declining feedback effect of income on innovation in economies with a higher level of endowments and highlight the inclusion of feedback effects of economic activities on the innovation while designing the innovation and economic policies of a country.

Details

Journal of Science and Technology Policy Management, vol. 13 no. 1
Type: Research Article
ISSN: 2053-4620

Keywords

Available. Content available
Article
Publication date: 28 January 2022

Patricia Ordonez de Pablos

358

Abstract

Details

Journal of Science and Technology Policy Management, vol. 13 no. 1
Type: Research Article
ISSN: 2053-4620

Available. Open Access. Open Access
Article
Publication date: 5 June 2020

Zijun Jiang, Zhigang Xu, Yunchao Li, Haigen Min and Jingmei Zhou

Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road…

1184

Abstract

Purpose

Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road environments in real-time. The global positioning system and the strap-down inertial navigation system are two common techniques in the field of vehicle localization. However, the localization accuracy, reliability and real-time performance of these two techniques can not satisfy the requirement of some critical ITS applications such as collision avoiding, vision enhancement and automatic parking. Aiming at the problems above, this paper aims to propose a precise vehicle ego-localization method based on image matching.

Design/methodology/approach

This study included three steps, Step 1, extraction of feature points. After getting the image, the local features in the pavement images were extracted using an improved speeded up robust features algorithm. Step 2, eliminate mismatch points. Using a random sample consensus algorithm to eliminate mismatched points of road image and make match point pairs more robust. Step 3, matching of feature points and trajectory generation.

Findings

Through the matching and validation of the extracted local feature points, the relative translation and rotation offsets between two consecutive pavement images were calculated, eventually, the trajectory of the vehicle was generated.

Originality/value

The experimental results show that the studied algorithm has an accuracy at decimeter-level and it fully meets the demand of the lane-level positioning in some critical ITS applications.

Details

Journal of Intelligent and Connected Vehicles, vol. 3 no. 2
Type: Research Article
ISSN: 2399-9802

Keywords

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