مقاله انگلیسی رایگان در مورد انتخاب بهینه سرمایه گذاری – الزویر ۲۰۱۹

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مشخصات مقاله
ترجمه عنوان مقاله انتخاب بهینه سرمایه گذاری در پروژه فتوولتائیک (PV) توزیع شده صنعتی و تجاری بر اساس مقادیر ترکیبی و مدل TODIM-ابر از دیدگاه های شرکتهای کوچک و متوسط
عنوان انگلیسی مقاله Optimal investment selection of industrial and commercial rooftop distributed PV project based on combination weights and cloudTODIM model from SMEs’ perspectives
انتشار مقاله سال ۲۰۱۹
تعداد صفحات مقاله انگلیسی ۱۵ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۷٫۰۹۶ در سال ۲۰۱۸
شاخص H_index ۱۵۰ در سال ۲۰۱۹
شاخص SJR ۱٫۶۲۰ در سال ۲۰۱۸
شناسه ISSN ۰۹۵۹-۶۵۲۶
شاخص Quartile (چارک) Q1 در سال ۲۰۱۸
مدل مفهومی دارد
پرسشنامه دارد
متغیر دارد
رفرنس دارد
رشته های مرتبط مدیریت، اقتصاد
گرایش های مرتبط مدیریت کسب و کار، اقتصاد مالی
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مجله تولید پاک – Journal of Cleaner Production
دانشگاه  School of Economics and Management, North China Electric Power University, Beijing, China
کلمات کلیدی فتوولتائیک توزیع شده صنعتی و تجاری، شرکتهای کوچک و متوسط، مقدار ترکیبی، مدل TODIM ابر
کلمات کلیدی انگلیسی Industrial and commercial rooftop distributed photovoltaic، Small and medium-sized enterprise، Combination weight، Cloud-TODIM model
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jclepro.2019.06.249
کد محصول  E12964
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
۱٫ Introduction
۲٫ Analysis of evaluation attributes
۳٫ Methodology
۴٫ A case study
۵٫ Results and discussion
۶٫ Conclusion
Acknowledgements
Appendix A.
References

 

بخشی از متن مقاله:
Abstract

Photovoltaic with its main characteristics of clean and abundant reserves has been widely used. This paper investigates how to select a satisfactory industrial and commercial rooftop distributed photovoltaic (ICR-DPV) project to invest from the small and medium-sized enterprises’ (SMEs) view. Flaws and inadequacies existing in the current decision-making process may cause an inaccurate investment result. Therefore, this paper establishes a cloud-TODIM framework to deal with the problems. First, criteria covering the economy, resource, risk factors and engineering feasibility are established. Second, hesitant fuzzy linguistic term set (HFLTS) and cloud model are applied to describe the indeterminate information so that the hesitation and randomness of linguistic variables can be fully expressed. Third, the analytic network process (ANP) method and entropy method are combined to gain the criteria weights, which can not only avoid too much subjectivity in weight determination but also measure the mutual influence between the various criteria simultaneously. Furthermore, the TODIM method considers the psychological behavior of investors, so it is utilized to rank alternatives to make the framework more applicable for practical evaluation. Finally, a case in Shandong province validates the applicability of the proposed framework. This paper provides a more rational and scientific decision-making framework for investors.

Introduction

With the explosive growth in 2017, distributed photovoltaic (DPV) has emerged as one of the most energetic and promising new energy industries in China (see Fig. 1), with its advantages of the low power loss and land saving. However, the increasingly prominent subsidy contradictions have become the bottleneck of the PV industry. And the targeted deal, which was implemented on June 1, 2018, arranges a construction scale of about 10 MW to support DPV projects. It plunges the booming PV industry into a transition period and promotes the emergence of new markets. Under this circumstance, the industrial and commercial rooftop distributed PV (ICR-DPV) projects, with the larger and flatter rooftop area and greater power consumption than household rooftops, have received greater attention than ever (Wu et al., 2018b). More importantly, even without subsidies, the electricity bill saved by DPV generation system can also reduce the burden of business expenses. Small and medium-sized enterprises (SMEs) play an important role in China’ economy as they contribute more than 50% of China’s tax revenue and more than 60% of GDP. However, the continuous escalation of Sino-US trade conflicts has brought serious and even fatal effects to a number of SMEs. In addition, China is entering a new stage of reform, but the development of SMEs is still confronted with an austere challenge. Thus, it is extremely urgent to seek a way out for the small and medium-sized PV enterprises under the double impact of the new deal and Sino-US trade war.

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