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Article
Publication date: 31 August 2012

Jun-Yeop Lee and Shuyun Wang

Using Social Network Analysis (SNA), this paper examines the inter-provincial logistics relationships in China. Based on the annual data of inter-provincial railway…

Abstract

Using Social Network Analysis (SNA), this paper examines the inter-provincial logistics relationships in China. Based on the annual data of inter-provincial railway logistics quantity during the period 1998-2009, the degree of interconnection between regions could imply intensified trends of regional economic integration.

The main results of the logistic relationships in China are as follows: the regional logistic interconnection, especially between western and eastern China has increased continuously, which would imply a rising national economic integration. However, the increased centralization index and the average Degree Centrality level imply that a logistics bottleneck has intensified in several hub provinces.

Secondly, logistic center provinces evaluated by the Degree Centrality have changed. In 2009, Hebei, Liaoning, Jiangsu, Shandong, Henan and Sichuan provinces revealed the highest inward Degree Centrality. Sichuan Province is the region that most surprisingly increased its centrality.

Thirdly, the number of logistic hub provinces, evaluated by the Degree Betweenness Centrality, has increased. In 2008, Henan province was only a focal hub but in 2009, Shandong, Hubei, Sichuan provinces became logistic hubs.

Lastly, the Community Modularity which analyzed grouping structures shows that there are three time-consistent communities. This means that even though there is enhanced between-region integration, the inter-regional inter-connection is more important in explaining the regional logistic relationship.

Details

Journal of International Logistics and Trade, vol. 10 no. 2
Type: Research Article
ISSN: 1738-2122

Keywords

Book part
Publication date: 12 November 2016

Qihao He

Due to climate change and an increasing concentration of the world’s population in vulnerable areas, how to manage catastrophe risk efficiently and cover disaster losses…

Abstract

Purpose

Due to climate change and an increasing concentration of the world’s population in vulnerable areas, how to manage catastrophe risk efficiently and cover disaster losses fairly is still a universal dilemma.

Methodology

This paper applies a law and economic approach.

Findings

China’s mechanism for managing catastrophic disaster risk is in many ways unique. It emphasizes government responsibilities and works well in many respects, especially in disaster emergency relief. Nonetheless, China’s mechanism which has the vestige of a centrally planned economy needs reform.

Practical Implications

I propose a catastrophe insurance market-enhancing framework which marries the merits of both the market and government to manage catastrophe risks. There are three pillars of the framework: (i) sustaining a strong and capable government; (ii) government enhancement of the market, neither supplanting nor retarding it; (iii) legalizing the relationship between government and market to prevent government from undermining well-functioning market operations. A catastrophe insurance market-enhancing framework may provide insights for developing catastrophe insurance in China and other transitional nations.

Originality

First, this paper analyzes China’s mechanism for managing catastrophic disaster risks and China’s approach which emphasizes government responsibilities will shed light on solving how to manage catastrophe risk efficiently and cover disaster losses fairly. Second, this paper starts a broader discussion about government stimulation of developing catastrophe insurance and this framework can stimulate attention to solve the universal dilemma.

Details

The Political Economy of Chinese Finance
Type: Book
ISBN: 978-1-78560-957-2

Keywords

Article
Publication date: 1 January 2012

Wang Dongxu, Shi Yuhui, Donald Stewart, Chang Chun and Li Chaoyang

The paper seeks to identify key features of prenatal care utilization and quality in western regions of China and to determine the factors affecting the quality of prenatal care.

341

Abstract

Purpose

The paper seeks to identify key features of prenatal care utilization and quality in western regions of China and to determine the factors affecting the quality of prenatal care.

Design/methodology/approach

A descriptive, cross‐sectional study was conducted. The instrument for the study was a 10‐stem respondent‐administered, structured questionnaire, designed in Chinese, composed of two segments: general information on infants who were under two years old; and their mothers. The authors determined the quality (both amount and content) of prenatal care using recommendations made by UNICEF and the Chinese Ministry of Health (MOH) jointly for rural areas of China.

Findings

The median number of prenatal visits was three and rate of first trimester visits was 53.6 per cent (n=1,474). Over three quarters (75.3 per cent) of respondents had fewer than five prenatal visits, with this proportion highest in Gansu (95.8 per cent) and lowest in Shanxi (55.4 per cent) provinces. The percentage of women who received qualitatively adequate prenatal care services was only 1.8 per cent. No respondents in Gansu received a completely correct prenatal test, while this rate was 4.0 per cent in Shanxi and 0.2 per cent in Sichuan. Mothers' age (p=0.05), level of educational attainment (p=0.07) and place of prenatal care (p=0.01) were related to the quality of care.

Originality/value

The prenatal care utilization among women in western regions of China is not adequate. Those women who have received prenatal care seldom receive qualitatively adequate prenatal care services, according to national standards. This situation clearly requires urgent attention and improvement.

Details

Health Education, vol. 112 no. 1
Type: Research Article
ISSN: 0965-4283

Keywords

Article
Publication date: 1 February 2016

Xian Xu and Jingbing Feng

– The purpose of this paper is to identify the effects earthquakes may have on rates of marriage and divorce in China, a country strongly affected by losses due to earthquakes.

Abstract

Purpose

The purpose of this paper is to identify the effects earthquakes may have on rates of marriage and divorce in China, a country strongly affected by losses due to earthquakes.

Design/methodology/approach

This paper studies the effect of earthquakes on marriage and divorce rates in China between 2000 and 2011, using panel data from 31 provinces as well as from Sichuan at the prefecture level, a province that has a high frequency of earthquakes.

Findings

The results show that when controlling for demographic, economic, and social factors, losses due to earthquakes are found to be associated with increases in both marriage and divorce rates. While the estimated elasticities are low, amounting to 1.92×10−2 and 6.102×10−2, respectively, they are highly significant, suggesting that a doubling of losses due to earthquakes increases marriages by 1.92 percent and divorces by 6.102 percent with a lag of one year. Since the first elasticity is smaller than the second, losses due to earthquakes may influence familial instability. Moreover, these effects increase in the second year but cannot be traced beyond three years after the disaster.

Originality/value

In view of the cost imposed on society by instable family relationships, these findings point to a need to provide relief to families after earthquake disasters.

Details

Disaster Prevention and Management, vol. 25 no. 1
Type: Research Article
ISSN: 0965-3562

Keywords

Content available
Article
Publication date: 1 September 2005

299

Abstract

Details

Disaster Prevention and Management: An International Journal, vol. 14 no. 4
Type: Research Article
ISSN: 0965-3562

Content available
Article
Publication date: 1 May 2003

375

Abstract

Details

Disaster Prevention and Management: An International Journal, vol. 12 no. 2
Type: Research Article
ISSN: 0965-3562

Article
Publication date: 3 August 2021

Jianxiang Wan, Changteng Nie and Fan Zhang

As an important public infrastructure, broadband has absorbed a large amount of investment in China. However, how and to what extent these investments affect economic and…

Abstract

Purpose

As an important public infrastructure, broadband has absorbed a large amount of investment in China. However, how and to what extent these investments affect economic and social development is largely unknown. The purpose of this paper is to analyze the impact of broadband infrastructure construction on consumption of rural households, using an exogenous policy shock introduced by the China's “Broadband Countryside” pilot project.

Design/methodology/approach

Using the tracking sample data of China Household Financial Survey in 2013 and 2015, this study estimates the effect of broadband construction on rural household consumption and draws causality between them relying on a quasi-natural experiment based on an exogenous policy shock.

Findings

The difference-in-difference estimates show that broadband construction has significantly increased rural household consumption by 16.69%. This positive promotion effect is mainly achieved through mobile phone access to the Internet, while penetration of computer crowds out rural household consumption. Further research find that broadband construction has increased rural household consumption related to daily life and high-quality household consumption, but not statistically significant for the latter, and it has not helped to promote the consumption upgrading of rural households.

Originality/value

This study contributes to the understanding of the positive status of broadband infrastructure in economic and social development by analyzing the impact of broadband infrastructure construction on rural household consumption. This study expands the content of consumption to rural households, especially high-quality consumption and consumption upgrading in rural areas, which provides the possibility to further tap the consumption potential of rural market. The study is the first to explore how broadband infrastructure construction affects consumption of rural households using a quasi-natural experiment.

Details

China Agricultural Economic Review, vol. 13 no. 4
Type: Research Article
ISSN: 1756-137X

Keywords

Article
Publication date: 29 July 2014

Bradley J. Koch

– The purpose of this paper is to analyze the first-mover decision as one decision of a set of strategic decisions that ultimately determine performance.

Abstract

Purpose

The purpose of this paper is to analyze the first-mover decision as one decision of a set of strategic decisions that ultimately determine performance.

Design/methodology/approach

The author used survey data collected from foreign-invested firms in Sichuan, China, to test for evidence that first-movers perform better than late-movers.

Findings

The results reveal that there is a first-mover advantage when the other strategic variables are not included in the model. When the entire set of strategic variables is included, however, the first mover variable loses its significance and the willingness of the foreign partner to commit additional resources becomes the best predictor of performance. Consequently, it was argued that foreign investment strategies should be analyzed as a set of strategic decisions managers make to formulate the best mix.

Originality/value

The empirical evidence for the first-mover advantage may not be as well grounded as many have thought. When the first-mover strategic decision is analyzed in isolation from other strategic variables, which is commonly done in many empirical studies, it indicates that firms that enter China before their competitors perform better. Unfortunately, it is more logical to assume that managers dynamically develop a set of strategic decisions that ultimately determine the firm’s performance. To extrapolate one static decision from the strategic decision set and make broad assertions about its effect of performance is an over-simplification of the strategic decision process.

Details

Journal of Asia Business Studies, vol. 8 no. 3
Type: Research Article
ISSN: 1558-7894

Keywords

Content available
Article
Publication date: 1 October 1999

189

Abstract

Details

Disaster Prevention and Management: An International Journal, vol. 8 no. 4
Type: Research Article
ISSN: 0965-3562

Keywords

Article
Publication date: 1 March 2013

Song Zhang, Cong Li, Li Ma and Qi Li

The purpose of this paper is to introduce an improved nearest‐neighbor collaborative filtering algorithm based on rough set theory to alleviate the sparsity problem of…

Abstract

Purpose

The purpose of this paper is to introduce an improved nearest‐neighbor collaborative filtering algorithm based on rough set theory to alleviate the sparsity problem of collaborative filtering. With experimentations, the new algorithm is thereafter evaluated.

Design/methodology/approach

Nearest‐neighbor algorithm is the earliest proposed and the main collaborative filtering recommendation algorithm, and its recommendation quality is seriously influenced by the sparsity of user ratings. By using rough set theory, the nearest‐neighbor collaborative filtering algorithm can be improved in the sparsity data situation. The union of user rating items is used as the basis of similarity computing among users, and then a rating predicting method based on rough set theory is proposed to estimate missing values in the union of user rating items for decreasing sparsity.

Findings

The sparsity problem of collaborative filtering can be alleviated by using the union of user rating items and estimating missing values based on rough set theory. The experimental results show that the new algorithm can efficiently improve recommendation quality of collaborative filtering.

Originality/value

The union of user rating items was used as the basis of similarity computing among users. A rating prediction method based on rough set theory with an assistant method was proposed to complete the missing values in the union of user rating items. Orthogonal list was used to storage user‐item ratings matrix.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 32 no. 2
Type: Research Article
ISSN: 0332-1649

Keywords

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