Alleviating the misallocation of R&D inputs in China's manufacturing sector: From the perspectives of factor-biased technological innovation and substitution elasticity

2020 ◽  
Vol 151 ◽  
pp. 119878 ◽  
Author(s):  
Zhenbing Yang ◽  
Shuai Shao ◽  
Chengyu Li ◽  
Lili Yang
2020 ◽  
Vol 2 (1) ◽  
pp. 58-75
Author(s):  
SYED ATIF ALI WARSI ◽  
DR. MUHAMMAD ASIM ◽  
SALMAN MANZOOR

The purpose of the study is to examine the relationship between supply chain management practices (SCMP) on technological innovation in the manufacturing sector organizations of Pakistan. The supply chain management practices (SCMP) include in this study are strategic supplier partnership, information sharing, information quality, postponement and internal lean practices while technological innovation being the dependent variable. The target population for this study has been selected as the manufacturing sector in Pakistan. The study has collected 200 responses from the supply chain professionals of manufacturing firms of Karachi, Pakistan. For analysis of data, partial least square structural equation modelling (PLS-SEM) named Smart PLS version 3.2.8 has been used. The finding of the study showed that supply chain management practices have a positive impact on technological innovation. The postponement has the highest impact and positive relation with technological innovation, then strategic supplier partnership was found to a positive and significant impact on technological innovation, while information quality has lower impact and positive relationship with technological innovation. The study suggests that manufacturing firms should implement proper supply chain management practices for making their product and process innovations. The paper will provide insights to the manufacturing firm how these supply chain management practices help in technological innovation.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaoxue Zhou ◽  
Yu Li ◽  
Yao Zhang

PurposeThe purpose of this paper is to explore the threshold effect of firm size on technological innovation using panel data from 2007 to 2012 for listed enterprises in China's manufacturing sector.Design/methodology/approachConsidering the aim of research question is to examine the nonlinear relationship, this paper utilizes the threshold regression proposed by Hansen's (2000).FindingsBased on a threshold regression model using panel data from 2007 to 2012 for listed enterprises in China's manufacturing sector, we find a series of new results. This nonlinear relationship is under the restrictions and impacts of various factors, such as industry characteristics and government subsidies. The results suggest that the threshold regression model well explains the complicated nonlinear relationship and transition process, and it can also shed light on management practice and policy.Originality/valueThere are categorical arguments regarding why firm size is not as effective as before in explaining the monotonic principle of industrial innovation, especially for establishing an effective industrial policy in a particular situation. One of the important reasons is that we have begun to adopt a new perspective from the nonlinear view on the relationship between firm size and industrial innovation. In this study, we have examined the threshold effect of firm size on industrial technological innovation, which is the most representative nonlinear relationship.


1981 ◽  
Vol 20 (1) ◽  
pp. 1-36 ◽  
Author(s):  
A. R. Kemal

This paper examines substitution elasticities between capital and labour in the manufacturing sector of Pakistan. It is found that whereas the substitution possibilities between the capital intensive and labour intensive techniques of production are rather limited, the substitution possibilities between various activities do exist. It is also found that changes in capital-labour ratio have a significant influence on the substitution elasticity and as such CES estimates, in general, are biased.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kofi Mintah Oware ◽  
T. Mallikarjunappa

Purpose Technological innovation (TI) has become a competitive advantage to firm sustainability and survival; however, stakeholders struggle to embrace this revolution. There is a fear that technology innovation leads to massive job loss. Therefore, the purpose of this paper is to investigate TI, employee disability (EDI) and financial performance. Design/methodology/approach Using the Indian stock market as a testing ground, the authors used panel regression to analyse 80 sustainability-reporting firms (640 firm-year observations) between 2010 and 2017. Findings The findings show that technology innovation has a positive association with EDI. It further indicates EDI with TI improves the financial performance (return on assets and return on equity) of firms. Also, the study shows that EDI in the service and manufacturing sector are the critical contributors when combined with TI towards an increase in financial performance. Practical implications The implication for the study allows firms to increase employment of people with disabilities in the workplace because TI has a positive effect on EDI. The results from the study confirm the service sector as the highest contributor to financial performance in the emergence of TI. Originality/value The novelty of this research provides empirical evidence that the service sector contributes more to financial performance when EDI combines with TI.


Author(s):  
Marcia Leite

In the early 1980's, Brazilian industry underwent a crisis of the previous accumulation model, ushering in a period in which the country lost international competitiveness. This paper traces the changes that have taken place since then, including the further changes that have taken place since 2003. It concludes that the last four years have not differed much from the earlier pattern, even though several new industrial policies have been introduced with the aim of spurring technological innovation. The paper investigates the reasons for this, seeking to underline the limits and the potentialities of such policies, given the general global context. In order to do so, it analyses managerial strategies and innovative processes in the Brazilian manufacturing sector as a whole, with a special focus on the automotive sector, and discusses the implications of this restructuring for labour.


2021 ◽  
Vol 23 (1) ◽  
pp. 91
Author(s):  
Leo Aldianto ◽  
Jann Hidajat Tjakraatmadja ◽  
Dwi Larso ◽  
Ina Primiana ◽  
Grisna Anggadwita

The measurement of innovation has been developed by various previous studies with a specific focus and goal. However, the existing measurement framework still cannot be applied all that easily by companies in Indonesia for assessing, evaluating, and improving their innovations. This study aims to propose a measurement framework using a multiple case study approach. Cases were selected from companies in the pharmaceutical and information and communications technology (ICT) industries because they contribute substantially to the manufacturing sector and both are vital to Indonesia. The results of this study indicate that the measurement model of innovation consists of technological innovation and the management of technological innovation. There are three phases in the technological innovation process which include the initiation phase (conceiving ideas and acquiring information, then transforming it into knowledge), the development phase (validating knowledge and checking its appropriateness), and the diffusion phase (getting users' feedback and Go & scaling up). Meanwhile, the management of technological innovation consists of having a strategy, the necessary resources, and operation. The analytical generalization of this study is still considered to be limited, so further studies are needed to analyze cases in other industrial sectors. In addition, a quantitative study is required to construct a measuring instrument for the variables proposed in this study.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdul Rauf ◽  
Ying Ma ◽  
Abdul Jalil

PurposeWhile previous studies find innovation to be an essential driver of export growth, the existing literature has neglected the role of different dimensions of technological innovation in export performance, especially in emerging countries. In particular, much less attention has been provided to investigate how enhancing innovation activities in more technical industries influence the relationship between technological innovation and export. Purpose of this paper is to present a unified framework to empirically investigate the integrated impact of the various technological innovation dimensions on export performance of industrial enterprises in China.Design/methodology/approachUsing a panel dataset of enterprise-level data classified into China’s two-digit capital- and technology-intensive manufacturing industries for the 1998–2016 period and applying system-GMM regressions to control for the problem of endogeneity, the authors empirically investigate the integrated impact of a variety of the dimensions of technological innovation on export.FindingsThe authors find that: (1) Domestic R&D efforts and technology spillovers from foreign investment are critical determinants for capital- and technology-intensive exports. (2) External technology may not automatically contribute to export success whereas the interaction of external technology with domestic skill and expertise is a necessary condition for global competitiveness. (3) There exists complementarity between domestic and foreign innovation efforts when they jointly determine export. (4) Chinese government’s trade and innovation policies have significantly contributed to its export growth. Also, the authors examine that the extent of the effect of innovation on export depends upon the type of industry and it is found to be greater in capital- and technology-intensive industries.Originality/valueThis paper fills the research gap in existing literature by distinguishing between different dimensions of technological innovation and integrating them into a unified framework to empirically investigate their impact on export performance of industrial enterprises in emerging countries. The study provides important insights for policymakers.


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