948 resultados para Chinese mining sector


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Elaborado a partir de un diagnóstico del sector minero en Chile, este documento presenta una serie de recomendaciones de políticas públicas que tienden a aumentar la participación de las mujeres en dicho sector de la industria nacional, y su retención en el mismo, elaboradas a través de un proceso de diálogo intersectorial público-privado que tuvo lugar durante 2015.

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As class contact times are reduced as a result of fiscal restraints in the modern tertiary sector, language instructors are placed in the position of having to find new ways to provide experience and continuity in language learning. Extending 'learning communities'—sites of learner knowledge exchange, exposure to diverse learning styles and strategies, and mutual support—beyond the classroom is one solution to maintaining successful linguistic competencies amongst learners. This, however, can conflict with the diverse extra-curricular commitments faced by tertiary students. The flexibility of web-based learning platforms provides one means of overcoming these obstacles. This study investigates learner perceptions of the use of the WebCT platform's computer medicated communication (CMC) tools as a means of extending the community of learning in tertiary Chinese language and non-language courses. Learner responses to Likert and open-ended questionnaires show that flexibility and reduction of negative affect are seen as significant benefits to 'virtual' interaction and communication, although responses are notably stronger in the non-language compared with the language cohort. While both learner cohorts acknowledge positive learning outcomes, CMC is not seen to consistently further interpersonal rapport beyond that established in the classroom. Maintaining a balance between web-based and classroom learning emerges as a concern, especially amongst language learners. [Author abstract, ed]

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This paper presents load profiles of electricity customers, using the knowledge discovery in databases (KDD) procedure, a data mining technique, to determine the load profiles for different types of customers. In this paper, the current load profiling methods are compared using data mining techniques, by analysing and evaluating these classification techniques. The objective of this study is to determine the best load profiling methods and data mining techniques to classify, detect and predict non-technical losses in the distribution sector, due to faulty metering and billing errors, as well as to gather knowledge on customer behaviour and preferences so as to gain a competitive advantage in the deregulated market. This paper focuses mainly on the comparative analysis of the classification techniques selected; a forthcoming paper will focus on the detection and prediction methods.

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Purpose – This paper sets out to explore the proposition that building competences is more effective than privatisation and restructuring to improve performance in the Chinese chemical industry. Design/methodology/approach – Case study research has been undertaken in the Chinese chemical industry. The two case companies provide representative data on the factors under investigation. The case investigations that are described were complemented by a survey, the results of which have been reported elsewhere. Findings – Results obtained from the research show that privatisation of Chinese state-owned enterprises is not always an effective strategy to improve performance. In the case study companies, the development of core competences was more effective in enhancing performance. Research limitations/implications – The research results are limited by the scope of the study, which was carried out in the Chinese chemical industry. They are also based on in-depth case investigations in only two companies, but are supported by a large-scale survey reported elsewhere. The results have implications for academic researchers interested in China's privatisation programme. Practical implications – The research has practical implications for companies outside China that are considering collaborative operations with Chinese companies or investing in joint ventures. It also has implications for suppliers or customers of Chinese companies. Originality/value – The paper is based on original case study investigations carried out in Chinese enterprises and is supported by a survey of representative companies in China's chemical sector. Value is derived from understanding the basis of improved performance in the companies studied.

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Using a large panel dataset of Chinese manufacturing enterprises during 1999-2005, which accounts for over 90% of China's industrial output, and robust econometric procedures we show that the Chinese banking system has helped to support the growth of both firm value added and TFP. We find that access to bank loans is positively correlated with future value added and TFP growth. We also find that firms with access to bank loans tend to grow faster in regions with greater banking sector development. While the effects of bank loans on firm growth are more pronounced in the case of purely private-owned and foreign firms, they are positive and statistically significant even in the case of state-owned and collectively-owned firms. We show that excluding loss-making firms from the sample does not change the qualitative nature of our results.

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We investigate whether inward foreign direct investment (FDI), either at the firm or industry level, has any impact on product innovation by Chinese state-owned enterprises (SOEs). We use a comprehensive firm-level panel data set of some 20,000 SOEs during 1999-2005. Our results show that foreign capital participation at the firm level is associated with higher innovative activity. Inward FDI in the sector, by contrast, has a negative effect on innovative activity in SOEs on average. However, there is a positive effect of sector-level FDI on SOEs that export, invest in human capital, or undertake R&D. © 2008 Elsevier Ltd. All rights reserved.

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A recent, comprehensive database is used to investigate the link between inward foreign direct investment (FDI) and innovation activity in China. The results of the analysis suggest that private and collectively owned firms with foreign capital participation and those with good access to domestic bank loans innovate more than other firms do. Among enterprises not owned by the state, inward FDI at the sectoral level is positively associated with domestic innovative activity only among firms that engage in their own research and development or that have good access to domestic finance. At the sector level the effect of inward FDI into technology transfer is distinguished from the effect on domestic credit opportunities. FDI affecting credit is of little significance for state-owned enterprises and is independent of their access to finance. In contrast, better access to credit is an important channel through which FDI affects the innovation of domestic private and collectively owned enterprises.

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Purpose – The paper assesses the extent to which China’s comparative advantage in manufacturing has shifted towards higher-tech sectors between 1987 and 2005 and proposes possible explanations for the shift. Design/methodology/approach – Revealed comparative advantage (RCA) indices for 27 product groups, representing high-, medium and low-tech sectors have been calculated. Examination of international market attractiveness complements the RCA analysis. Findings for selected sectors are evaluated in the context of other evidence. Findings – While China maintains its competitiveness in low-tech labour intensive products, it has gained RCA in selected medium-tech sectors (e.g. office machines and electric machinery) and the high-tech telecommunications and automatic data processing equipment sectors. Evidence from firm and sector specific studies suggests that improved comparative advantage in medium and high-tech sectors is based on capabilities developing through combining international technology transfer and learning. Research limitations/implications – The quantitative analysis does not explain the shifts in comparative advantage, though the paper suggests possible explanations. Further research at firm and sector levels is required to understand the underlying capability development of Chinese enterprises and the relative competitiveness of Chinese and foreign invested enterprises. Practical implications – Western companies should take account of capability development in China in forming their international manufacturing strategies. The rapid shifts in China’s comparative advantage have lessons for other industrialising countries. Originality/value – While RCA is a well-known methodology, its application at the disaggregated product group level combined with market attractiveness assessment is distinctive. The paper provides a broad assessment of changes in Chinese manufacturing as a basis for further research on capability development at firm and sector levels.

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Using a large panel dataset of Chinese manufacturing enterprises during 1999-2005, which accounts for over 90% of China’s industrial output, and robust econometric procedures we show that the Chinese banking system has helped to support the growth of both firm value added and TFP. We find that access to bank loans is positively correlated with future value added and TFP growth. We also find that firms with access to bank loans tend to grow faster in regions with greater banking sector development. While the effects of bank loans on firm growth are more pronounced in the case of purely private-owned and foreign firms, they are positive and statistically significant even in the case of state-owned and collectively-owned firms. We show that excluding loss-making firms from the sample does not change the qualitative nature of our results.

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In this poster we presented our preliminary work on the study of spammer detection and analysis with 50 active honeypot profiles implemented on Weibo.com and QQ.com microblogging networks. We picked out spammers from legitimate users by manually checking every captured user's microblogs content. We built a spammer dataset for each social network community using these spammer accounts and a legitimate user dataset as well. We analyzed several features of the two user classes and made a comparison on these features, which were found to be useful to distinguish spammers from legitimate users. The followings are several initial observations from our analysis on the features of spammers captured on Weibo.com and QQ.com. ¦The following/follower ratio of spammers is usually higher than legitimate users. They tend to follow a large amount of users in order to gain popularity but always have relatively few followers. ¦There exists a big gap between the average numbers of microblogs posted per day from these two classes. On Weibo.com, spammers post quite a lot microblogs every day, which is much more than legitimate users do; while on QQ.com spammers post far less microblogs than legitimate users. This is mainly due to the different strategies taken by spammers on these two platforms. ¦More spammers choose a cautious spam posting pattern. They mix spam microblogs with ordinary ones so that they can avoid the anti-spam mechanisms taken by the service providers. ¦Aggressive spammers are more likely to be detected so they tend to have a shorter life while cautious spammers can live much longer and have a deeper influence on the network. The latter kind of spammers may become the trend of social network spammer. © 2012 IEEE.

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Traditional Chinese Medicine (TCM) has been actively researched through various approaches, including computational techniques. A review on basic elements of TCM is provided to illuminate various challenges and progresses in its study using computational methods. Information on various TCM formulations, in particular resources on databases of TCM formulations and their integration to Western medicine, are analyzed in several facets, such as TCM classifications, types of databases, and mining tools. Aspects of computational TCM diagnosis, namely inspection, auscultation, pulse analysis as well as TCM expert systems are reviewed in term of their benefits and drawbacks. Various approaches on exploring relationships among TCM components and finding genes/proteins relating to TCM symptom complex are also studied. This survey provides a summary on the advance of computational approaches for TCM and will be useful for future knowledge discovery in this area. © 2007 Elsevier Ireland Ltd. All rights reserved.

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This paper is motivated by the recent debate on the existence and scale of China's 'Guo Jin Min Tui' phenomenon, which is often translated as 'the state sector advances and the private sector retreats'. We argue that the profound implication of an advancing state sector is not the size expansion of the state ownership in the economy per se, but the likely retardation of the development of the already financially constrained private sector and the issues around the sustainability of the already weakening Chinese economy growth. Drawing on recent methodological advances, we provide a critical analysis of the contributions of the state and non-state sectors in the aggregate Total Factor Productivity and its growth over the period of 1998-2007 to verify the existence of GJMT and its possible impacts on Chinese economic growth. Overall, we find strong and consistent evidence of a systematic and worsening resource misallocation within the state sector and/or between the state sectors and private sectors over time. This suggests that non-market forces allow resources to be driven away from their competitive market allocation and towards the inefficient state sector. Crown Copyright © 2014.

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The paper applies the GVC framework to analyse the organisational and geographical reconfiguration of the global R&D function of leading US and European pharmaceutical MNCs. Though pharmaceutical MNCs have been outsourcing clinical trial activities since the mid-1990s, the outsourcing of discovery research tasks is a phenomenon of the 2000s (Ramirez 2013). Moreover, in the context of a crisis of R&D productivity and increasing pressure from shareholders, a number of US and European pharmaceutical MNCs are breaking up their R&D function in an attempt to increase flexibility and reduce risk as well as costs and are thereby restructuring the global architecture of their R&D function. This break-up, or unbundling (Sako 2006), of the R&D function is particularly interesting given the prevalence of market failure in innovation (Howells et al 2008), the non-modular nature of the R&D process in this industry (Pisano 2006) and the strategic important of this activity to the core competence and long-term competitive advantage of firms in this sector. The focus of this paper is on the outsourcing of R&D activities to Chinese and Indian independently-owned contract research organisations (CROs) and the way these firms are becoming integrated as service providers into the global R&D function (or R&D value chain) of pharmaceutical MNCs. Above all the paper is concerned with the development of capabilities of CROs from these two countries and the dynamics of upgrading in GVCs in knowledge-intensive functions. The paper therefore discusses the role of both knowledge flows within global pharmaceutical R&D value chains as well as national innovation systems on the development of capabilities of Chinese and Indian CROs. Our analysis is based on data from semi-structured interviews collected from senior R&D managers from a sample of ten US and European pharmaceutical MNCs and owners and senior R&D managers from five Chinese and five Indian CROs who are providing research services to MNCs in this industry. We discuss the emergence of R&D outsourcing in this industry and the nature and mechanisms of knowledge flows within R&D value chains. The embeddedness of CROS in the national innovation systems of their home countries is also discussed.

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This thesis examines two ongoing development projects that received financial support from international development organizations, and an alternative mining tax proposed by the academia. Chapter 2 explores the impact of commoditization of coffee on its export price in Ethiopia. The first part of the chapter traces how the Ethiopian’s current coffee trade system and commoditization come to be. Using regression analysis, the second part tests and confirms the hypothesis that commoditization has led to a reduction in coffee export price. Chapter 3 conducts a cost-benefit analysis on a controversial, liquefied natural gas export project in Peru that sought to export one-third of the country’s proven natural gas reserves. While the country can receive royalty and corporate income tax in the short and medium term, these benefits are dwarfed by the future costs of paying for alternative energy after gas depletion. The conclusion is robust for a variety of future energy-price and energy-demand scenarios. Chapter 4 quantifies through simulation the economic distortions of two common mining taxes, the royalty and ad-valorem tax, vis-à-vis the resource rent tax. The latter is put forward as a better mining tax instrument on account of its non-distortionary nature. The rent tax, however, necessitates additional administrative burdens and induces tax-avoidance behavior, both leading to a net loss of tax revenue. By quantifying the distortions of royalty and the ad-valorem tax, one can establish the maximum loss that can be incurred by the rent tax. Simulation results indicate that the distortion of the ad-valorem tax is quite modest. If implemented, the rent tax is likely to result in a greater loss. While the subject matters may appear diverse, they are united by one theme. These initiatives were endorsed and supported by authorities and development agencies in the aim of furthering economic development and efficiency, but they are unlikely to fulfill the goal. Lessons for international development can be learnt from successful stories as well as from unsuccessful ones.

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We analyze how a set of 22 European countries was affected by increased Chinese export competition between 1995 and 2008. Employing product-group level data, we observe a reduction in the export volumes of European countries due to increased Chinese export competition. This deceleration in the export sector induces changes within the manufacturing industries, especially a decline in employment. When using more aggregated, regional-level data, our analysis shows that the industry sector as a whole declines, resulting in an increased unemployment rate. The importance of Chinese export competition for Europe is attributable to its high export intensity.