Hybrid Unsupervised Exploratory Plots: A Case Study of Analysing Foreign Direct Investment

Herrero, Álvaro; Jiménez, Alfredo; Bayraktar, Seçil

doi:10.1155/2019/6271017

Cited by 19 publications

(8 citation statements)

References 55 publications

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“…CMLHL is one alternative that has previously been applied to a wide variety of problems. Because it takes higher-order statistics into account, its projections are more sparse and informative than those obtained by more traditional methods such as Principal Component Analysis [62][63][64].…”

Section: Resultsmentioning

confidence: 99%

Entrepreneurial Interest and Entrepreneurial Competence Among Spanish Youth: An Analysis with Artificial Neural Networks

et al. 2020

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Studies of the socio-economic function of entrepreneurship have emphasized the critical role that entrepreneurial competence and its implementation play at different stages of the education system. In this paper, as a research objective, we seek to determine the entrepreneurial interest of Spanish youth aged between 15 and 18 years of age enrolled in formal secondary education programs, an initial stage in the development of entrepreneurship. A previously validated ad hoc questionnaire is applied through simple random sampling to 1764 students at secondary school in Spain. A descriptive cross-sectional study is carried out. The analysis is done with Artificial Neural Networks (ANNs), a technique that reduces the high dimensionality of data through Cooperative Maximum Likelihood Hebbian Learning (CMLHL), applying neurocomputational methods to the educational sciences. We find as key results that Spanish youth express a medium level of interest in entrepreneurship. Analysis with ANNs shows that education in entrepreneurial competence is an influential aspect of interest in entrepreneurship. As a conclusion, our results suggest that educational and curricular reforms must be undertaken to promote the development of entrepreneurial competence at various stages of education in order to increase interest in entrepreneurship.

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Section: Resultsmentioning

confidence: 99%

Entrepreneurial Interest and Entrepreneurial Competence Among Spanish Youth: An Analysis with Artificial Neural Networks

et al. 2020

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“…To do so, different alternatives can be used; CMLHL is one alternative that has previously been applied to a wide variety of problems. Because it takes higher-order statistics into account, its projections are more sparse and informative than those obtained by more traditional methods such as Principal Component Analysis [56][57][58].…”

Section: Resultsmentioning

confidence: 99%

Entrepreneurial Interest and Entrepreneurial Competence among Spanish Youth: An Analysis with Artificial Neural Networks

Rico¹,

Llamazares²,

Torre-Cruz³

et al. 2020

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Introduction: Studies of the socio-economic function of entrepreneurship have emphasized the critical role that entrepreneurial competence and its implementation play at different stages of the education system. In this paper, we seek to determine the entrepreneurial interest of Spanish youth aged between 15 to 18 years of age, who find themselves in the state-regulated education system, at an initial stage in the development of entrepreneurship. A previously validated ad hoc questionnaire was applied through simple random sampling to 1,764 students at a secondary school in Spain. The analysis is done with Artificial Neural Networks (ANN), a technique that reduces the high dimensionality of data through Cooperative Maximum Likelihood Hebbian Learning (CMLHL), applying neurocomputational methods to the educational sciences. Spanish youth expressed a medium level of interest in entrepreneurship. Analysis with ANN shows that education in entrepreneurial competence is an influential aspect of interest in entrepreneurship. As conclusion, educational and curricular reforms must be undertaken to promote the development of entrepreneurial competence at various stages of compulsory education to increase interest in entrepreneurship.

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“…e PP model is suitable for dealing with nonlinear and nonnormal high-dimensional data. By projecting high-dimensional data into low-dimensional space and analyzing the projection characteristics of low-dimensional space, the characteristics of high-dimensional data are studied [44,45].…”

Section: Pp Modelmentioning

confidence: 99%

Effect of International Technology Transfer on the Technical Efficiency of High‐Tech Manufacturing in China: A RAGA‐PP‐SFA Analysis

2021

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The sustainable development of China’s high-tech manufacturing (HTM) sector is restricted by dependence on technology introduction and foreign direct investment (FDI), low input-output efficiency, and environmental pollution. This study aimed to examine the roles of technology introduction and FDI in improving the technical efficiency of Chinese HTM from an environmental perspective. By integrating stochastic frontier analysis (SFA) and projection pursuit (PP) based on the real-coded accelerated genetic algorithm (RAGA), this study constructed a RAGA-PP-SFA model that considers undesirable outputs. This model includes various outputs, including environmental pollution, in the production function to improve estimation accuracy. Moreover, to verify the robustness of the estimation results, the results were provided when environmental pollutants were taken as input factors. The results showed that technology introduction could significantly promote HTM’s technical efficiency, while FDI had no significant positive effect. By comparing the estimated results with those that did not consider environmental pollution, this study not only reveals different roles of technology introduction and FDI in improving HTM’s technical efficiency but also confirms that ignoring environmental pollution will overestimate their roles (especially the role of FDI) in such improvement.

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Hybrid Unsupervised Exploratory Plots: A Case Study of Analysing Foreign Direct Investment

Cited by 19 publications

References 55 publications

Entrepreneurial Interest and Entrepreneurial Competence Among Spanish Youth: An Analysis with Artificial Neural Networks

Entrepreneurial Interest and Entrepreneurial Competence Among Spanish Youth: An Analysis with Artificial Neural Networks

Entrepreneurial Interest and Entrepreneurial Competence among Spanish Youth: An Analysis with Artificial Neural Networks

Effect of International Technology Transfer on the Technical Efficiency of High‐Tech Manufacturing in China: A RAGA‐PP‐SFA Analysis

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