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Article
Publication date: 4 June 2010

Qingyuan Li and Tielin Wang

The purpose of this paper is to study the relationship between financial reporting quality and investment efficiency in China.

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Abstract

Purpose

The purpose of this paper is to study the relationship between financial reporting quality and investment efficiency in China.

Design/methodology/approach

By analyzing institutional background and hypotheses development, the paper selected listed firms in China to be the study samples. On the base of that, the relationship between financial reporting quality and investment efficiency of the samples were discussed.

Findings

Consistent with this claim, the paper finds proxies for financial reporting quality, namely self‐constructed composite measures, are negatively associated with both under‐ and overinvestment of the listed corporations; of which the effects of accrual quality and earnings smoothness on under‐ and overinvestment are most significant.

Research limitations/implications

Overall, this paper has implications for research examining the determinants of investment efficiency and the economic consequences of enhanced financial reporting.

Practical implications

This paper seeks to develop Chinese economic infrastructure into an economically efficient system of public financial reporting and disclosure in order to improve accounting information's role of allocating capital.

Originality/value

The conclusion of this paper might be the first empirical evidence to support prior research that financial reporting quality is positively related to investment efficiency for large, US publicly traded firms, thus the findings extend to public firms in emerging markets.

Details

Nankai Business Review International, vol. 1 no. 2
Type: Research Article
ISSN: 2040-8749

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Article
Publication date: 23 September 2013

Mingyu Li, Bo Wu, Pengxing Yi, Chao Jin, Youmin Hu and Tielin Shi

In the high-speed trains (HSTs) production process, assembly sequence planning (ASP) problems is an extremely core issue. ASP problems influence the economic cost, amount of…

478

Abstract

Purpose

In the high-speed trains (HSTs) production process, assembly sequence planning (ASP) problems is an extremely core issue. ASP problems influence the economic cost, amount of workers and the working time in the assembly process, seriously. In the design process of HSTs, the assembly sequence is usually given by experience, and the correctness of the assembly sequence is difficult to guarantee by experience and low effectiveness. The ASP based on improved discrete particle swarm optimization (IDPSO) algorithm was proposed to address these issues.

Design/methodology/approach

In view of the local convergence problem with basic DPSO in ASP, this paper presents an IDPSO, in which a chosen strategy of global optimal particle is introduced in, to solve the ASP problems in the assembly process of HSTs operation panel. The geometric feasibility, the assembly stability, and the number of assembly orientation changes of the assembly are chosen to be the optimization objective. Furthermore, the influences of the population size, the weight coefficient, and the learning factors to the stability and efficiency of IDPSO algorithm were discussed.

Findings

The results show that the IDPSO algorithm can obtain the global optimum efficiently, which is proved to be a more useful method for solving ASP problems than basic DPSO. The IDPSO approach could reduce the working time and economic cost of ASP problems in HSTs significantly.

Practical implications

The method may save the economic cost, reduce the amount of workers and save the time in the assembly process of HSTs. And also may change the method of ASP in design and manufacturing process, and make the production process in HSTs more efficiently.

Originality/value

A chosen strategy of global optimal particle is presented, which can overcome the local convergence problem with basic DPSO for solving ASP problems.

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Article
Publication date: 21 June 2022

Ying-Jie Guan, Yong-Ping Li and Peng Zeng

To solve the problems of short battery life and low transportation safety of logistics drones, this paper aims to propose a design of logistics unmanned aerial vehicles (UAV) wing…

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Abstract

Purpose

To solve the problems of short battery life and low transportation safety of logistics drones, this paper aims to propose a design of logistics unmanned aerial vehicles (UAV) wing with a composite ducted rotor, which combines fixed wing and rotary-wing.

Design/methodology/approach

This UAV adopts tiltable ducted rotor combined with fixed wing, which has the characteristics of fast flight speed, large carrying capacity and long endurance. At the same time, it has the hovering and vertical take-off and landing capabilities of the rotary-wing UAV. In addition, aerodynamic simulation analysis of the composite model with a fixed wing and a ducted rotor was carried out, and the aerodynamic influence of the composite model on the UAV was analyzed under different speeds, fixed wing angles of attack and ducted rotor speeds.

Findings

The results were as follows: when the speed of the ducted rotor is 2,500 rpm, CL and K both reach maximum values. But when the speed exceeds 3,000 rpm, the lift will decrease; when the angle of attack of the fixed wing is 10° and the rotational speed of the ducted rotor is about 3,000 rpm, the aerodynamic characteristics of the wing are better.

Originality/value

The novelty of this work comes from a composite wing design of a fixed wing combined with a tiltable ducted rotor applied to the logistics UAVs, and the aerodynamic characteristics of the design wing are analyzed.

Details

Aircraft Engineering and Aerospace Technology, vol. 95 no. 3
Type: Research Article
ISSN: 1748-8842

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