Jiahai Yuan

Feed-In Tariff for Onshore Wind Power in China

ABSTRACT This article estimated the cost of onshore wind power in China by employing levelized cost of the electricity model. The analytical framework has enough precision for appraising the effectiveness of feed-in tariff (FIT) policy. Results show that the existing FIT policy is attractive to investors, but serious curtailment and turbine quality issues could make wind power unprofitable. Meanwhile, rapid learning-by-doing in turbine price has substantially lowered the cost of wind power and made it competitive with coal power in 2013. Our estimate results indicate that it is necessary and the right time to reform the FIT policy for the newly commissioned wind farms.

Sustainable Energy Policy in China: Economic Issues and Policy Challenges

China is the largest developing economy in the world. If the nation’s double income target is successfully implemented, China could enter the world’s high income group by 2020. China is also the largest energy consumer and greenhouse gase (GHG) emitter in the world. The heavy reliance on fossil energy supply, coal in particular, has also brought forth serious atmospheric pollution across the country. China has declared a war against air pollution since 2013. More recently, china has made a binding commitment to peak its CO2 emissions by 2030. Therefore, China’s future economic growth is closely linked with its energy policy, which in turn, is intertwined with its actual accomplishment on achieving the GHG peak commitment as well as the air quality improvement efforts. I am honored to organize a special topic titled “Sustainable Energy Policy in China: Economic Issues and Policy Challenges” with the invitation from the Chief Editor, Professor Ali M. Kutan. Focusing on sustainable energy policy in China, after the journal’s standard review process, we have selected 14 articles covering many economic and policy issues including: i) international trade and energy consumption nexus; ii) resource, economic growth, and environment nexus at the city level; iii) carbon market and carbon tax policy; iv) energy efficiency; and v) renewable energy policy. The first set of articles focuses on international trade and energy consumption. In the first article, Yong Zhao, Lili Wang, and Yihua Yu evaluate the effects of trade liberalization on the export expansion of China’s renewable energy products. They find that trade liberalization plays a crucial role in encouraging the exports of renewable energy products. The second article, written by Xu Tang, Hongmei Deng, Baosheng Zhang, Simon Snowden, and Mikael Höök, examines China’s embodied energy imports and exports and finds that China is a net embodied energy exporter, and the trade-off costs of employment, trade surplus, and government tax for China to reduce embodied energy exports are very high. In the third article, Kai Li and Shaozhou Qi test the impact of foreign direct investment (FDI) on industrial energy consumption at the provincial level and find negative impact of foreign capital entry on energy consumption in China. The second set of articles focuses on resource, economic growth, and environment nexus at the city level in China. In the fourth article, Xiaopeng Guo and Xiaodan Guo investigate the relationship between the industrial structure, economic position, and air quality in China’s seven typical cities. They find positive correlation between economic scale, secondary industrial share, local coal-fired power generation, and air quality deterioration, but can’t detect the turning point in terms of the environmental Kuznets curve in these cities. In the fifth article, Jin Guo, Xinye Zheng, and Feng Song re-visit the resource curse hypothesis employing a system GMM dynamic panel estimator and find that economic growth has small and insignificant direct dependence on natural resource but significant indirect dependence through the capital investment channel. In the sixth article, Rui Xie, Guomei Zhao, Bangzhu Zhu, and Mingyong Lai address the regional transfer and determinants of haze pollutants embodied in China’s foreign trade.

Test of Co-Movement between Electricity Consumption and Economic Growth in China

In the paper, we propose a novel method based on wavelet analysis to test the impact of specific frequency fluctuation of series in establishing the cointegration and Granger causality among series. The method is rather time domain oriented and can rely on the standard procedure of error correction model. Then we use the method to test for electricity consumption and economic growth in China. Our test results indicate that electricity consumption is the frequency Granger cause of economic growth in both the short and long run. It also indicates that the cointegration between electricity consumption and economic growth is operated with the low frequency business cycle movement. Index Terms—Granger causality; Time-Frequency analysis; Wavelet; Electricity industry

Virtual CO2 Emission Flows in the Global Electricity Trade Network

Quantifying greenhouse gas emissions due to electricity consumption is crucial for climate mitigation in the electric power sector. Current practices primarily use production-based emission factors to quantify emissions for electricity consumption, assuming production and consumption of electricity take place within the same region. The increasingly intensified cross-border electricity trade complicates the accounting for emissions of electricity consumption. This study employs a network approach to account for the flows in the whole electricity trade network to estimate CO2 emissions of electricity consumption for 137 major countries/regions in 2014. Results show that in some countries, especially those in Europe and Southern Africa, the impacts of electricity trade on the estimation of emission factors and embodied emissions are significant. The changes made to emission factors by considering intergrid electricity trade can have significant implications for emission accounting and climate mitigation when multiplied by total electricity consumption of the corresponding countries/regions.

Competency Evaluation Engineering of R&D Personnel based on Rough Set

Competency model as the emerging matter in the field of human resource management has been greatly concerned. As companies realize the high performance that is produced by talent-post matching, enterprise managers think that competency model is an urgent need to implement competitive advantage. This paper studies the characteristics of R&D personnel, and uses interviews, questionnaires, and behavioral event interviews and other methods to build competency model, then determines the R&D personnel’s competency appraisal index, combines with expert evaluation and rough set theory to determine the weight factor of the evaluation, so weight distribution is more scientific and rational to improve the reliability and accuracy of the evaluation.

Analysis of Competency Elements Based on Grey Cluster

A competency model requires lots of competency elements, and competency elements are the most important part of the competency model, so it is necessary to select best data from these elements to make competency model more efficient and satisfactory. This paper describes reviews on competency and introduces the method of grey cluster analysis, and proposes a procedure using grey clustering method to select main competency indexes and evaluates accuracy and performance of the classifying method. Then a case study is presented in the paper to show the viability of the procedure.

Enterprise Group Governance Model Decision

Enterprise group will inevitably encounter organizational capacity absence and resources attenuation in its ongoing expansion process. But good governance model can guide enterprises development better. In this paper, we introduce the mainstream governance model of enterprise group, and then make use of fuzzy comprehensive mathematical methods to build a decision-making model for business choice. Select the main influencing factors of enterprise group governance as decision-making model index system and calculate index weight by latent root method in group. Finally calculate group company degree of membership to different membership functions, according the principle of maximum membership degree, and choose the appropriate governance model for enterprise group.

Study on Compensation Structure in Enterprises

Compensation system is not only the core compenent in the human resources management and development, but also the important means for talent incentive in enterprises. The compensation structure as the part of compensation system is the important content of the compensation system designing. Recognizing its importance, this paper meticulously discusses the post, performance, ability and market-oriented compensation structure. The connotation, behavior orientation, advantages and disadvantages of compensation structure are analyzed, and thereby proposing its application in business.

A Study on the Modeling Process and Method of Competence Model in Enterprises

Abstract-It is critical to identify competence model structure and discuss modeling process and method, because it decides that the competence model is applied successfully in human resources management and the development practice or not. Synthesizing domestic and foreign research about competence model, from the behavioral science angle to establish model, basic research has been mature, but the model validity is still limited by the factors, such as time, enterprise size, cost and so on. In fact, the massive basic study and case accumulation can provide reference for the companies, therefore this article based on this mind has proposed another modeling ways. It is a very important step to study the suitable modeling method according to the different modeling mentality and different data nature for the enterprises.

The Evaluation Method of Marketing Staff Competency Based on Gray Relational Analysis

The paper utilizes competency evaluation model based on gray relational analysis to assess marketing staff competency. An empirical case is given for an automobile companys marketing staff competency evaluation to prove the validity of the model.