A new approach to identifying high-tech manufacturing SMEs with sustainable technological development: Empirical evidence

Pylaeva, Irina; Podshivalova, Mariya; Alola, Andrew Adewale; Podshivalov, Dmitrii V.; Demin, Alexander

doi:10.1016/j.jclepro.2022.132322

Cited by 17 publications

(9 citation statements)

References 48 publications

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“…This method lessens point‐to‐point fluctuations in data while adjusting seasonal variations and transforming data from low to high frequency (Acheampong et al, 2021; Destek & Sarkodie, 2019; Pan et al, 2022). Since it is more accurate than conventional procedures, this approach is favoured (Alola et al 2022; Ozturk et al 2021; Shahbaz et al 2022). Thus, we used data spanning between 2000Q1 and 2018Q4 (72 observations) to assess the effect of green finance, green innovation, economic growth, social globalization and political risk on environmental quality.…”

Section: Data Source and Methodsmentioning

confidence: 99%

Political risk and environmental quality in Brazil: Role of green finance and green innovation

Kırıkkaleli

Adebayo

2022

Int. J Fin Econ

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The quest for ecological sustainability while reducing the impacts of environmental deterioration has become a worldwide endeavour. Furthermore, it is unclear how developing economies such as Brazil can considerably improve environmental quality (EQ). This paper contributes to the ongoing literature by evaluating the effect of green finance, economic growth, political risk, social globalization and green innovation on environmental quality in Brazil. The study used data spanning between 2000Q1 and 2018Q4. Unlike other investigations, the current study used load capacity factor as a proxy for environmental quality, which considers both demand and supply sides of environmental issues. The current study applied the novel dynamic ARDL to capture the short and long‐run nexus. The bootstrap causality test was also applied to capture causal connection instabilities over time. The results of this study are as follows: (1) a significant and positive association was found between political risk, green finance, green innovation and social globalization environmental quality; (2) a significant and negative interplay was detected between economic growth and environmental quality; (3) The time‐varying causality shows a feedback causality at various periods between political risk, green finance, green innovation, economic growth, social globalization and environmental quality. This study also serves as a reference point for governments and policymakers in terms of investing in eco‐friendly technologies in order to improve environmental quality.

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Section: Data Source and Methodsmentioning

confidence: 99%

Political risk and environmental quality in Brazil: Role of green finance and green innovation

Kırıkkaleli

Adebayo

2022

Int. J Fin Econ

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“…Triguero [22] analyzed how financial constraints influence green innovation in high-tech and regulated industries. Pylaeva [23] proposed a new approach to identifying high-tech manufacturing SMEs with sustainable technological development. The study emphasized the importance of sustainable technological development in achieving sustainable competitive advantage.…”

Section: Development Status Of High-tech Industrymentioning

confidence: 99%

Does the openness of the Boundary Shell system influence the sustainable development of the high-tech industry?

Shi,

Tan,

Liu

et al. 2024

PLoS ONE

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High-technology industries have gained substantial recognition as pivotal drivers of economic growth and technological advancement in modern society. The imperative of sustainable development in high-tech industries cannot be overemphasized, as it plays a crucial role in enabling long-term growth, fostering innovation, and assuming environmental responsibility. This article presents a study on sustainable development in high-tech industries using Boundary Shell theory. The study investigates the role of the stable and sustainable entropy criterion for the Boundary Shell system of high-tech industries from an entropy balance perspective. It analyzes the upper and lower limits of the Boundary Shell support force. Additionally, it improves the traditional boundary system ratio model to comprehensively and objectively evaluate the sustainable development of high-tech industries. The results illustrate that the Boundary Shell of industrial innovation is stronger than that of external dependency, with a reversed ranking of internal evaluation factor strengths compared to the traditional model. This research integrates reaction-diffusion equations theory with entropy balance equations theory to address sustainability issues in the high-tech industry. We further analyze the sustainable development of the high-tech industry through a Boundary Shell theory perspective to advance sustainability in high-tech industries. Moreover, it provides useful insights into the sustainable development of high-tech industries.

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“…In terms of the sustainable development of high-tech enterprises, Pylaeva et al (2022) proposed a new method to identify sustainable high-tech enterprises; Cochran and Rauch (2020) better solved the problems of sustainability and industry 4.0 from the view of enterprise sustainable development. Yang and Wang (2020) proposed to establish an ecosystem of marine high-tech enterprises from the view of sustainable development; Law and Gunasekaran (2012) studied the key factors that promote Hong Kong's high-tech enterprises to adopt and implement sustainable development strategies; Du et al (2022) evaluated the effect of high-tech industries and renewable energy on consumption-based carbon emissions in Middle Eastern and Northern Africa countries.…”

Section: Sustainable Development Of High-tech Enterprisesmentioning

confidence: 99%

Evaluation of innovation efficiency of high-tech enterprise based on DEA and Malmquist index under the background of sustainable development

Wang,

Tang

2024

APJIE

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Purpose This paper aims to promote the higher quality development of high-tech enterprises in China. While science and technology have greatly promoted human civilization, resources have been excessively consumed and the environment has been sharply polluted. Therefore, it is particularly important for current enterprises to make use of scientific and technological innovation to maximize the benefits of mankind, minimize the loss of nature, and promote the sustainable development of our country. Design/methodology/approach By using DEA-Banker-Charnes-Cooper (BCC) model and DEA-Malmquist model, this paper comprehensively examines the innovation efficiency of high-tech enterprises from both static and dynamic perspectives, and conducts a provincial comparative study with the panel data of ten representative provinces from 2011 to 2020. Findings The research findings are as follows: the rapid number increase of high-tech enterprises in most provinces (cities) is accompanied by an ineffective input–output efficiency; the quality of high-tech enterprises needs to comprehensively examine both input–output efficiency and total factor productivity; and there is not a positive correlation between element investment and innovation performance. Research limitations/implications Because the DEA model used in this paper assumes that the improvement direction of invalid units is to ensure that the input ratio of various production factors remains unchanged but sometimes the proportion of scientific and technological activities personnel and the total research and development investment is not constant. In the future, the nonradial DEA model can be considered for further research. Due to historical data statistics, more provinces, cities and longer panel data are difficult to obtain. The samples studied in this paper mainly refer to the provinces and cities that ranked first in the number of national high-tech enterprises in 2020. Limited by the number of samples, DEA analysis failed to select more input and output indicators. In the future, with the accumulation of statistical data, the existing efficiency analysis will be further optimized. Originality/value Aiming at the misunderstanding of emphasizing quantity and neglecting quality in the cultivation of high-tech enterprises, this paper comprehensively uses DEA-BCC model and DEA Malmquist index decomposition method to make a comprehensive comparative study on the development of high-tech enterprises in ten representative provinces (cities) from two aspects of static efficiency evaluation and dynamic efficiency evaluation.

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A new approach to identifying high-tech manufacturing SMEs with sustainable technological development: Empirical evidence

Cited by 17 publications

References 48 publications

Political risk and environmental quality in Brazil: Role of green finance and green innovation

Political risk and environmental quality in Brazil: Role of green finance and green innovation

Does the openness of the Boundary Shell system influence the sustainable development of the high-tech industry?

Evaluation of innovation efficiency of high-tech enterprise based on DEA and Malmquist index under the background of sustainable development

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