Spatial Variation of Regional Sustainable Development and  its Relationship to the Allocation of Science and  Technology Resources

Jian, Wu; Wu, Guangdong; Zhou, Qing; Mi, Li

doi:10.3390/su6096400

Cited by 14 publications

(9 citation statements)

References 11 publications

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“…As resources are limited, enterprises must seek reasonable ways to manage resources to achieve sustainability [1,2]. There have been some studies on corporate sustainable resource management, for instance, water resource management [3][4][5], mineral resource management [6,7], energy resource management [8,9], and science and technology resource management [10,11]. While these studies mainly focus on the sustainability of natural resources, they neglect human resources, which is considered the most important valuable core asset and resource of an enterprise, especially in the age of artificial intelligence.…”

Section: Introductionmentioning

confidence: 99%

Social Network Analysis of Sustainable Human Resource Management from the Employee Training’s Perspective

Guo

Lei

et al. 2019

Sustainability

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Employee training is not only important for the continuous growth of human resources but also guarantees sustainable human resource management in enterprises. It is very important to understand corporate behaviour related to employee training not only from the perspective of a single enterprise but also from that of multiple enterprises. The purpose of this study is to explore multiple enterprises' employee training behaviours by conducting a content analysis of corporate social responsibility (sustainability) reports and a social network analysis. This study also seeks to find a way to achieve sustainable employee training by analysing the similarities in the different types of corporate training behaviours. Our analysis shows that, in 2017, 108 types of training activities were implemented by 53 enterprises; the key employee trainings (e.g., security training and skills training) and enterprises (e.g., bank of communication) are identified. The training behaviours of some of the enterprises are similar to some extent, and eight groups of firms that are very similar are identified. The results of this study show that social network analysis performs well for studying corporate employee training behaviours. Some suggestions to minimize the investment costs of training and to improve the sustainability of human resource management from the employee training perspective are provided.Sustainability 2019, 11, 380 2 of 20 organizational sustainability has been highlighted by some scholars [16][17][18]. We therefore explore corporate sustainable resource management from the perspective of sustainable human resource management in this study.Corporate sustainable human resource management is a new area of research and practice [14]. There are still significant research gaps regarding sustainable human resource management, in particular, how human resource management addresses the sustainability of human resources [19]. Only a few studies have examined this issue; for instance, the work by Ehnert [20] explores the meaning of and reasoning for sustainability in human resource management as well as applications of the concept for human resource management through an analysis of 50 European multinational enterprises. Kramar [19] examines the major features of sustainable human resource management and highlights a relationship between sustainability and human resource management. Tooranloo et al. [21] identify the factors that have an impact on the successful implementation of human resource management sustainability in organizations. Human resource management is a series of work practices involving people, among which employee training has a very important part. Some managers and scholars have realized that employee training is not only an important incentive for the continuous growth of employees but also guarantees the sustainable development of the enterprise (e.g., [22][23][24][25][26]). Therefore, it is very interesting and important to analyse the sustainability of human resources from the perspective of employee trai...

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Section: Introductionmentioning

confidence: 99%

Social Network Analysis of Sustainable Human Resource Management from the Employee Training’s Perspective

Guo

Lei

et al. 2019

Sustainability

View full text Add to dashboard Cite

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“…The key to solving these problems still lies in technological progress. Although the coefficient of technological level is relatively small, according to the literature, it is highly correlated with the improvement of labor quality, the improvement of capital return rate, and the improvement of socioeconomic level [42][43][44][45][46][47]. Therefore, it is necessary to take scientific and technological progress as the core and combine it with the level of investment, labor level, and socioeconomic level to reduce low production efficiency and improve sustainable development.…”

Section: Tobit Analysismentioning

confidence: 99%

Technological Innovation, Production Efficiency, and Sustainable Development: A Case Study from Shenzhen in China

Sheng

Yang

et al. 2021

Sustainability

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Shenzhen is a national sustainable development innovation demonstration zone, with the theme of innovation leading the sustainable development of megacities. This manuscript studies technological innovation, production efficiency, and sustainable development and explores the impact of their relationship on Shenzhen. The benchmark test shows a significant negative correlation between the inefficiency of production, labor levels, investment levels, technical levels, and socioeconomic status. From 2001 to 2019, the production efficiencies of 21 prefecture-level cities in Guangdong Province were used as the research object. The Cobb–Douglas production function conducted panel stochastic frontier analysis and TOBIT regression, and the conclusion was robust. The mechanism test found that the economic growth of Guangdong Province, including Shenzhen, is still dominated by labor and investment. Its production efficiency has been dramatically impacted after 2008, and the increase in production inefficiency may be affected by the crowding-out effect of a four-trillion investment. Finally, based on the Tobit regression, we found that the rise in the labor force, capital input, technological level, and socioeconomic development level could reduce Shenzhen’s production inefficiencies by 3.6%, 20.2%, 2.5%, and 4%, respectively. There is still a long way to achieve sustainable development; however, Shenzhen’s technological innovation and mega-city reform process will provide valuable insights for other regions.

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“…Furthermore, Chang (2015) studied the telematics technology life cycle by collecting patent data and constructing a logistic growth model, and the patent growth of telematics technology was verified by the logistic growth model [18]. As other existing studies on the sustainable management of technology are taken together [50,51], sustainable technology level analysis is expected to perform better since the patent analysis results play a key role in verifying the survey-based analysis.…”

Section: Related Workmentioning

confidence: 99%

A Novel Forecasting Methodology for Sustainable Management of Defense Technology

et al. 2015

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Abstract:A dynamic methodology for sustainable management of defense technology is proposed to overcome the limitations of the static methodology, which involves comparative analysis based on the criterion of the highest technology level and has limitations for time series analysis, because the country with the highest level undergoes technical changes over time. To address these limitations, this study applies a technology growth model for a dynamic analysis of the Delphi result. An effective method using patents is also proposed to verify and adjust the analysis results. First, technology levels of the present and future are examined by the Delphi technique, and the growth curve is extracted based on the technology growth model. Second, the technology growth curve based on patents is extracted using the annual number of unexamined and registered patents related to the technology. Lastly, the statistical significance of the two growth curves is examined using regression analysis. Then the growth curves are adjusted by the rate of increase in patents. This methodology could provide dynamic technology level data to facilitate sustainable management of defense technology. The results could be useful to research institutions, as they establish strategies for securing technologies in defense or private domains.

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Spatial Variation of Regional Sustainable Development and its Relationship to the Allocation of Science and Technology Resources

Cited by 14 publications

References 11 publications

Social Network Analysis of Sustainable Human Resource Management from the Employee Training’s Perspective

Social Network Analysis of Sustainable Human Resource Management from the Employee Training’s Perspective

Technological Innovation, Production Efficiency, and Sustainable Development: A Case Study from Shenzhen in China

A Novel Forecasting Methodology for Sustainable Management of Defense Technology

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