Research on index construction of sustainable entrepreneurship and its impact on economic growth

Gu, Wentao; Wang, Jiayi

doi:10.1016/j.jbusres.2021.12.060

Cited by 80 publications

(41 citation statements)

References 24 publications

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“…Afawubo and Noglo (2022) investigated the impact of information and communication technologies (ICTs), addressed by ICT capital services on total entrepreneurial activity (TEA) in emerging and developed nations, and found out that it is applicable in developed countries only and is not applicable in developing countries. Gu and Wang (2022) asserted that sustainable entrepreneurship is necessary to promote regional economic growth. Furthermore, sustainable entrepreneurship plays mediating role influencing regional economic growth through technical R&D and financial intermediaries play a moderating role in the first half of the path (Awan, 2021).…”

Section: Entrepreneurship and Its Dimensionsmentioning

confidence: 99%

Grey relational analysis of country-level entrepreneurial environment: A study of selected forty-eight countries

Zhu

Ubaidullah²,

Zhu³

et al. 2022

Front. Environ. Sci.

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The aim of this study is to evaluate the entrepreneurial environment of selected countries, and analyze and rank them on the basis of entrepreneurship related indicators. This study’s design comprises a review of the literature, extraction of secondary data on the phenomenon, and analysis. The research gap has been established through a review of the literature, leading toward the development of problem statement. The cross-sectional data, related to entrepreneurship indicators, is extracted from website of World Development Indicators (2021) for 48 selected countries. Using positivism as a research philosophy and deduction as a research approach, the data are analyzed through grey relational analysis (GRA). On the basis of grey relational grades, this study also classified the countries on the continuum of “much better” to “worse.” The results of the study show that the United States, United Kingdom, Japan, Australia, Hong Kong, France and Canada attained the highest grey relational grades and are considered the countries having much better entrepreneurial environment; whereas Poland, Kuwait, Namibia and so on attained the lowest grey relational grades and are considered the countries having worst entrepreneurial environment. This research has several practical implications for different economies/countries, entrepreneurial ventures, aspiring entrepreneurial, and researchers. On the basis of findings of this study, policy makers should refine country-level entrepreneurial policies while keeping in view the respective grey relational grades.

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Section: Entrepreneurship and Its Dimensionsmentioning

confidence: 99%

Grey relational analysis of country-level entrepreneurial environment: A study of selected forty-eight countries

Zhu

Ubaidullah²,

Zhu³

et al. 2022

Front. Environ. Sci.

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“…Factors of production are generally divided into labor, capital, natural resources, and entrepreneurial talent. Entrepreneurial talent is often used to examine high-quality economic development from the micro level [ 53 , 54 ]; this paper measures China’s GTFP from the macro level. Therefore, we take labor, capital, and energy as input variables [ 55 , 56 , 57 ].…”

Section: Model and Data Descriptionmentioning

confidence: 99%

Measurement of China’s Green Total Factor Productivity Introducing Human Capital Composition

Cheng

et al. 2022

IJERPH

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In the face of resource and environmental problems caused by extensive economic development, China has put forward a green development strategy. Scientific measurement and analysis of green total factor productivity (GTFP) is of great significance for achieving high-quality economic development. By introducing the human capital composition, including education, health, scientific research, and training, this paper study adopts the Slack Based Measure-Global Malmquist-Luenberger (SBM-GML) index to re-measure the GTFP and its decomposition of 30 provinces, municipalities, and autonomous regions in China from 2000 to 2019. The results show that: (1) China’s GTFP has a fluctuating growth trend, with an average annual growth rate of 2.31%. (2) In terms of its decomposition, technical progress is the main force driving GTFP growth, with a contribution rate of 1.59%; the improvement of technical efficiency is a secondary driving force, with a contribution rate of 0.71%. (3) The measurement results of GTFP, considering the human capital composition, are generally higher than those without consideration, and the GTFP growth under the two modes shows a trend of “high in the east and low in the west”. The conclusions have enlightening significance for improving GTFP and the growth potential of the economy in China.

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“…Various regulation approaches are used in a sustainable development system, such as ecological, environmental, economic, and social-cultural systems. The ecological approach is mainly used to enhance the robustness and resilience level of a biological system [3]. An environmental process boosts the effectiveness and reliability level of a sustainable development system.…”

Section: Introductionmentioning

confidence: 99%

Analysis of a Legal Regulation Approach and Strategy of a Sharing Economy Based on Technological Change and Sustainable Development

Zhou

2023

Sustainability

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Economic regulations for sustainable development improve sharing and sustainability through diverse approaches. Market changes, stock values, and investor ideas are taken into consideration to achieve high sustainability. Multiple points across regulations are mandatory for adaptable improvements. Considering this feature, a conservative regulation approach (CRA) using artificial intelligence (AI) is introduced. The proposed approach relies on convolutional learning to improve economic sharing and sustainability. This approach takes in market values and economic sharing factors to estimate stability. The stability is validated using recurrent knowledge and non-tractable regulations. The proposed method was trained using current economic sharing and restrictions were applied. The learning process was prepared based on the available sharing information and development recommendations. This training improvises the changes and adaptations necessary for development and sustainability in economic sharing scenarios. The proposed approach’s performance is validated through metrics recommendation, data analysis, sustainability features, and economic sharing ratio.

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Research on index construction of sustainable entrepreneurship and its impact on economic growth

Cited by 80 publications

References 24 publications

Grey relational analysis of country-level entrepreneurial environment: A study of selected forty-eight countries

Grey relational analysis of country-level entrepreneurial environment: A study of selected forty-eight countries

Measurement of China’s Green Total Factor Productivity Introducing Human Capital Composition

Analysis of a Legal Regulation Approach and Strategy of a Sharing Economy Based on Technological Change and Sustainable Development

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