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Article
Publication date: 26 August 2014

Chengsi Zhang, Chunming Meng and Lisa Getz

China has witnessed low and stable consumer price inflation in conjunction with high and volatile food price inflation over the past decade. The purpose of this paper is to…

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Abstract

Purpose

China has witnessed low and stable consumer price inflation in conjunction with high and volatile food price inflation over the past decade. The purpose of this paper is to examine questions about whether or not the link between consumer price inflation and food price inflation has weakened and the determinants of consumer price inflation.

Design/methodology/approach

This paper explores these questions by estimating error correction terms for monetary and external sectors using the Johansen cointegration method.

Findings

Empirical results suggest that the link between consumer price inflation and food prices has not been weakened, food price inflation, especially cereal price inflation, remains a significant driving force for overall consumer price inflation, and international food prices also play a significant role in determining China's inflation dynamics.

Originality/value

The paper construct a multivariate dynamic model that features the link between consumer price inflation and its potential driving variables. It also develops error correction models for food price, non-food price and consumer price inflation, which can accommodate dynamic interactions among the underlying variables.

Details

China Agricultural Economic Review, vol. 6 no. 3
Type: Research Article
ISSN: 1756-137X

Keywords

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Article
Publication date: 14 September 2022

Chengsi Huang, Zhichao Yang and Jiedong Li

Due to the advantages of fast response, high positioning precision and large stiffness, the piezoelectric-actuated nanopositioning stage is widely used in the micro/nanomachining…

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Abstract

Purpose

Due to the advantages of fast response, high positioning precision and large stiffness, the piezoelectric-actuated nanopositioning stage is widely used in the micro/nanomachining fields. However, due to the inherent nonlinear hysteresis of the piezoelectric-actuator, the positioning accuracy of nanopositioning stage is greatly degraded. Besides, the nanopositioning stage is always performed with repetitive trajectories as the reference signals in applications, which makes the hysteresis behavior periodic. To this end, an adaptive resonance suppression iterative learning control (ARS-ILC) is proposed to address the hysteresis effect. With this effort, the positioning accuracy of the nanopositioning stage is improved.

Design/methodology/approach

The hysteresis behavior is identified by the Prandtl–Ishlinskii model. By establishing a convergence function, it is demonstrated that the learnable band of ILC is restricted by the lightly damping resonance of nanopositioning stage. Then, an adaptive notch filter (ANF) with constrained poles and zeros is adopted to suppress the resonant peak. Finally, online stability supervision (OSS) is used to ensure that the estimated frequency converges to the resonant frequency.

Findings

A series of experiments were carried out in the nanopositioning stage, and the results validated that the OSS is available to ensure the convergence of the ANF. Furthermore, the learnable band was extended via ARS-ILC; thus, the hysteresis behavior of nanopositioning stage has been canceled.

Originality/value

Due to high accuracy and easy implementation, the ARS-ILC can be used in not only nanopositioning stage control but other fabrication process control with repetitive motion.

Details

Assembly Automation, vol. 42 no. 5
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 8 January 2018

Chuanfu Chen, Qiao Li, Zhiqing Deng, Kuei Chiu and Ping Wang

The purpose of this paper is to understand how Chinese library and information science (LIS) journal articles cite works from outside the discipline (WOD) to identify the impact…

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Abstract

Purpose

The purpose of this paper is to understand how Chinese library and information science (LIS) journal articles cite works from outside the discipline (WOD) to identify the impact of knowledge import from outside the discipline on LIS development.

Design/methodology/approach

This paper explores the Chinese LIS’ preferences in citing WOD by employing bibliometrics and machine learning techniques.

Findings

Chinese LIS citations to WOD account for 29.69 percent of all citations, and they rise over time. Computer science, education and communication are the most frequently cited disciplines. Under the categorization of Biglan model, Chinese LIS prefers to cite WOD from soft science, applied science or nonlife science. In terms of community affiliation, the cited authors are mostly from the academic community, but rarely from the practice community. Mass media has always been a citation source that is hard to ignore. There is a strong interest of Chinese LIS in citing emerging topics.

Practical implications

This paper can be implemented in the reformulation of Chinese LIS knowledge system, the promotion of interdisciplinary collaboration, the development of LIS library collection and faculty advancement. It may also be used as a reference to develop strategies for the global LIS.

Originality/value

This paper fills the research gap in analyzing citations to WOD from Chinese LIS articles and their impacts on LIS, and recommends that Chinese LIS should emphasize on knowledge both on technology and people as well as knowledge from the practice community, cooperate with partners from other fields, thus to produce knowledge meeting the demands from library and information practice as well as users.

Details

Journal of Documentation, vol. 74 no. 1
Type: Research Article
ISSN: 0022-0418

Keywords

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