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Article
Publication date: 2 March 2020

Zehui Zhan, Jun Wu, Hu Mei, Qianyi Wu and Patrick S.W. Fong

This paper aims to investigate the individual difference on digital reading, by examining the eye-tracking records of male and female readers with different reading ability…

Abstract

Purpose

This paper aims to investigate the individual difference on digital reading, by examining the eye-tracking records of male and female readers with different reading ability (including their pupil size, blink rate, fixation rate, fixation duration, saccade rate, saccade duration, saccade amplitude and regression rate).

Design/methodology/approach

A total of 74 participants were selected according to 6,520 undergraduate students’ university entrance exam scores and the follow-up reading assessments. Half of them are men and half are women, with the top 3% good readers and the bottom 3% poor readers, from different disciplines.

Findings

Results indicated that the major gender differences on reading abilities were indicated by saccade duration, regression rate and blink rate. The major effects on reading ability have a larger effect size than the major effect on gender. Among all the indicators that have been examined, blink rate and regression rates are the most sensitive to the gender attribute, while the fixation rate and saccade amplitude showed the least sensitiveness.

Originality/value

This finding could be helpful for user modeling with eye-tracking data in intelligent tutoring systems, where necessary adjustments might be needed according to users’ individual differences. In this way, instructors could be able to provide purposeful guidance according to what the learners had seen and personalized the experience of digital reading.

Details

Interactive Technology and Smart Education, vol. 17 no. 3
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 1 March 2000

Hong Yang

Examines China’s population movement since the 1980s. The analysis tackles two types of migration: permanent with corresponding transfers of the household registration, and…

1311

Abstract

Examines China’s population movement since the 1980s. The analysis tackles two types of migration: permanent with corresponding transfers of the household registration, and temporary without such transfers. The study finds that, while the reform has brought about a proliferation of temporary migrants, numbers of permanent migrants have been rather stable. Of temporary migrants, an increasing proportion has been made up by urban residents. Temporary migrants as a whole are more likely to conduct inter‐provincial migration than their permanent counterparts. Coastal provinces and a few northwest provinces have been the favored destinations for temporary migrants. Cities, especially large cities, are preferred by both permanent and temporary migrants. The attraction of towns has been weak and tended to decline. The findings suggest that the reform has not led to a significant change in the formality of permanent migration. The large‐city oriented flow of the overall migration has been contrary to the state urbanization strategy which prioritizes the development of small cities and towns.

Details

International Journal of Social Economics, vol. 27 no. 3
Type: Research Article
ISSN: 0306-8293

Keywords

Open Access
Article
Publication date: 23 December 2020

Chen Yang and Tongliang An

By observing facts of the “reversal of agglomeration” of Chinese enterprises during the period of rapid Internet development and using a new economic geography model combined with…

1201

Abstract

Purpose

By observing facts of the “reversal of agglomeration” of Chinese enterprises during the period of rapid Internet development and using a new economic geography model combined with the data of the real estate sector, this paper deduces the influence of the “reshaping mechanisms” of the Internet on China's economic geography based on the “gravitation mechanism” of the Internet that affects the enterprises and the “amplification mechanism” of the Internet that amplifies the dispersion force of house prices.

Design/methodology/approach

In the empirical aspect, the dynamic spatial panel data model is used to test the micromechanisms of the impact of the Internet on enterprises' choice of location and the instrumental variable method is used to verify the macro effects of the Internet in reshaping economic geography.

Findings

It is found that in the era of the network economy, the Internet has become a source of regional competitive advantage and is extremely attractive to enterprises. The rapidly rising house price has greatly increased the congestion cost and has become the force behind the dispersion of enterprises. China's infrastructure miracle has closed the access gap which gives full play to network externalities and promotes the movement of enterprises from areas with high house prices to areas with low house prices.

Originality/value

The Internet is amplifying the dispersion force of congestion costs manifested as house prices and is reshaping China's economic geography. This paper further proposes policy suggestions such as taking the Internet economy as the new momentum of China's economic development and implementing the strategy of regional coordinated development.

Details

China Political Economy, vol. 3 no. 2
Type: Research Article
ISSN: 2516-1652

Keywords

Open Access
Article
Publication date: 27 July 2020

Fusheng Xie, Ling Gao and Peiyu Xie

This paper examines the different features of China's economic development in different stages of economic globalization. The study finds that the investment- and export-based…

1525

Abstract

Purpose

This paper examines the different features of China's economic development in different stages of economic globalization. The study finds that the investment- and export-based growth model drove China's high-speed economic growth between 2000 and 2007, which came into existence around 2000 when China plugged into the global production network.

Design/methodology/approach

This paper also finds that China slowed down to the New Normal because of the disruption to the socio-economic underpinnings of this growth model. As China adapts to and steers the New Normal, supply-side structural reforms can channel excess capacity to the construction of underground pipe networks in rural areas of central China and fix capital while advance rural revitalization.

Findings

At the same time, enterprises must strive to build a key component development platform for key component innovation and the standard-setting power in global manufacturing.

Originality/value

The establishment of a domestic production network integrating the integrated innovation-driven core enterprises and modular producers at different levels can satisfy the dynamic demand structure of China in which standardized demands and personalized demands coexist.

Details

China Political Economy, vol. 3 no. 1
Type: Research Article
ISSN: 2516-1652

Keywords

Article
Publication date: 20 September 2019

Tingyu Weng, Wenyang Liu and Jun Xiao

The purpose of this paper is to design a model that can accurately forecast the supply chain sales.

2266

Abstract

Purpose

The purpose of this paper is to design a model that can accurately forecast the supply chain sales.

Design/methodology/approach

This paper proposed a new model based on lightGBM and LSTM to forecast the supply chain sales. In order to verify the accuracy and efficiency of this model, three representative supply chain sales data sets are selected for experiments.

Findings

The experimental results show that the combined model can forecast supply chain sales with high accuracy, efficiency and interpretability.

Practical implications

With the rapid development of big data and AI, using big data analysis and algorithm technology to accurately forecast the long-term sales of goods will provide the database for the supply chain and key technical support for enterprises to establish supply chain solutions. This paper provides an effective method for supply chain sales forecasting, which can help enterprises to scientifically and reasonably forecast long-term commodity sales.

Originality/value

The proposed model not only inherits the ability of LSTM model to automatically mine high-level temporal features, but also has the advantages of lightGBM model, such as high efficiency, strong interpretability, which is suitable for industrial production environment.

Details

Industrial Management & Data Systems, vol. 120 no. 2
Type: Research Article
ISSN: 0263-5577

Keywords

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