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Wu C.-L.,Tsinghua University | Fang D.-P.,Tsinghua University | Liao P.-C.,Tsinghua University | Xue J.-W.,Tsinghua University | And 2 more authors.
Journal of Cleaner Production | Year: 2015

The poor performance of Chinese international contractors in terms of corporate social responsibility can impair their growth and internationalization in overseas markets. This study aims to probe into these contractors' perception of corporate social responsibility, diagnose perception distortions (if any), and identify approaches to improving this perception. A benchmarking analysis based on the stakeholder theory is conducted against the perception of international prominent contractors (assumed to represent international best practices). A questionnaire survey is administered to evaluate corporate social responsibility perceptions of both Chinese international contractors and international prominent contractors. The results of the gap analysis validate that Chinese international contractors' perception of corporate social responsibility is distorted and incomplete. Significant perception gaps between the two categories of contractors are found, mainly due to poor health and safety management, low compliance and ethical standards, and insufficient consideration of corporate social responsibility-related aspects in business decision making and implementation on the part of the Chinese international contractors. The findings indicate that Chinese international contractors ought to pay more attention to labor protection, environmental protection and anti-corruption issues; they should improve their compliance and ethics levels in their overseas operations to effectively identify and create shared values between the corporation and the society. The findings of this study could also lead other contractors and organizations in the international construction industry to a better understanding of the Chinese construction industry and the associated sociocultural environment, which could reduce business conflicts and disputes, and lead to more effective business activities. By utilizing the stakeholder perspective of corporate social responsibility, this paper can lead practitioners and the academia to a balanced and unbiased view on corporate social responsibility efforts. © 2015 Elsevier Ltd. Source

Xie J.,Tsinghua University | Xie J.,Sinohydro Resources Ltd | Wu B.,Tsinghua University | Mao J.,China Institute of Water Resources and Hydropower Research | Liu X.,International Research and Training Center on Erosion and Sedimentation
Shuili Fadian Xuebao/Journal of Hydroelectric Engineering | Year: 2012

Sedimentation in reservoir impacts its function, safety and integrated benefit. To quantify these impacts, an evaluation index system and an evaluation model were developed in this work. This model with the weight of each index calculated with an AHP method, was applied to evaluation of three typical reservoirs, Xiaolangdi reservoir, Danjiangkou reservoir and Sanmenxia reservoir. The calculations are in good agreement to the existing real situations of these reservoirs. © copyright. Source

Zhang N.,Beijing Jiaotong University | Hu Z.,State Grid Corporation of China | Zhou Y.,Beijing Jiaotong University | Xiao X.,Sinohydro Resources Ltd | And 2 more authors.
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2014

A novel unit commitment model to promote carbon reduction of a power system is proposed. Compared with traditional models, this one is improved in the following two aspects. On the one hand, low-carbon demand side resources, such as demand response, vehicle to grid and distributed renewable energy generation, are considered together with power supply resources to achieve an optimal schedule. On the other hand, a new fuzzy bi-objective optimization approach that can reflect the relevant priority between objectives is presented to strike an effective balance between economic objective and carbon emission objective. To solve the unit commitment optimization problem, the particle swarm optimization (PSO) is improved by employing crossover operator and mutation operator from the genetic algorithm, which enhances the global optimization ability of PSO. Numerical studies of a 10-unit system have verified the effectiveness of the model and the algorithm. © 2014 State Grid Electric Power Research Institute Press Source

Jiang Y.,CAS Research Center for Eco Environmental Sciences | Li X.,CAS Research Center for Eco Environmental Sciences | Huang C.,Wuhan University | Wu X.,Sinohydro Resources Ltd
Knowledge-Based Systems | Year: 2014

Bilevel programming techniques deal with decision processes involving two decision makers with a hierarchical structure. In this paper, an augmented Lagrangian multiplier method is proposed to solve nonlinear bilevel programming (NBLP) problems. An NBLP problem is first transformed into a single level problem with complementary constraints by replacing the lower level problem with its Karush-Kuhn-Tucker optimality condition, which is sequentially smoothed by a Chen-Harker-Kanzow-Smale (CHKS) smoothing function. An augmented Lagrangian multiplier method is then applied to solve the smoothed nonlinear program to obtain an approximate optimal solution of the NBLP problem. The asymptotic properties of the augmented Lagrangian multiplier method are analyzed and the condition for solution optimality is derived. Numerical results showing viability of the approach are reported. © 2013 Elsevier B.V. All rights reserved. Source

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