{"created":"2023-06-20T15:11:16.904423+00:00","id":7685,"links":{},"metadata":{"_buckets":{"deposit":"43c1a231-4d8e-4f41-9167-0013816080ba"},"_deposit":{"created_by":17,"id":"7685","owners":[17],"pid":{"revision_id":0,"type":"depid","value":"7685"},"status":"published"},"_oai":{"id":"oai:ynu.repo.nii.ac.jp:00007685","sets":["402:405"]},"author_link":["31905","31906","31904"],"item_7_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2016-09-16","bibliographicIssueDateType":"Issued"}}]},"item_7_date_granted_66":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2016-09-16"}]},"item_7_degree_grantor_64":{"attribute_name":"学位授与機関","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_name":"横浜国立大学"}],"subitem_degreegrantor_identifier":[{"subitem_degreegrantor_identifier_name":"12701","subitem_degreegrantor_identifier_scheme":"kakenhi"}]}]},"item_7_degree_name_63":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"博士（経済学）"}]},"item_7_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"SMEs play an increasingly important role in promoting the growth of national economics, alleviating employment pressure, optimizing the economic structure, increasing foreign trade, etc. Promoting the development of SMEs has become an urgent strategic task in our country at present. However, because of the asymmetric distribution of information between SMEs and financial institutions affects the financing behavior of financial institutions and financing efficiency, and the recovery period of the financing in SMEs is difficult to calculate, the uncertainty risk of default, leading to financial institutions will put a lot of harsh conditions in SMEs when giving credit, which greatly hindered the development of SMEs. This article is based on the domestic and foreign advanced rating methods and technologies, combining with theoretical and practical experience domestic credit rating, to solve the financing difficulties of SMEs and in view of the current situation and the characteristic of the development of SMEs at present stage in China, to work out some feasible creditrating method for SMEs. The author applied several up-to-date methodologies that are widely used in a lot of fields to the estimation and prediction of corporate credit rating, with GHK simulator succeeded in the estimation and prediction process using three-year data, which is a very highlight of this paper as by far now traditional maximum-likelihood can estimate and predict using only two-year data. With this progress, this author aims to test the feasibility of this methodology on the application of corporate credit rating of SMEs in China as the next step. And this paper introduced the traditional method being used in China for corporate credit rating as a comparison. As we can find out that the traditional method is complicated and of low-efficiency, which requires not only the financial data but also evaluations from experienced experts via questionnaire or some other form. This kind of emphasis on qualitative information is highly valued in corporate credit rating process when the object is big enterprises or international corporations because of their higher motivation in manipulating financial statements, thus simply relying on quantitative information is insufficient. However when it comes to SMEs like the cited example in this paper, a cost-efficiency calculation will be necessary taking into account of the number of SMEs in China as well as the emergency of their financing problem. Therefore, the author will work on this part further in two steps. First is to examine the feasibility of the methodology with GHK simulator developed in this paper to corporate credit rating for SMEs in China. Second is to compare the efficiency of this methodology with the traditional method used in China. After these two steps, the author will move to build up a more complete corporate credit rating system for SMEs by including more financial indicators in order to give a more thorough evaluation. And at the same time the author will also work on expand the methodology for estimation and prediction using more years so as to improve the accuracy.","subitem_description_type":"Abstract"}]},"item_7_dissertation_number_67":{"attribute_name":"学位授与番号","attribute_value_mlt":[{"subitem_dissertationnumber":"甲第1835号"}]},"item_7_full_name_2":{"attribute_name":"著者(ヨミ)","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"31905","nameIdentifierScheme":"WEKO"}],"names":[{"name":"テイ, シン"}]}]},"item_7_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"31906","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Cheng, Chen"}]}]},"item_7_subject_24":{"attribute_name":"国立国会図書館分類","attribute_value_mlt":[{"subitem_subject":"UT51","subitem_subject_scheme":"NDLC"}]},"item_7_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"国際社会科学研究科グローバル経済"}]},"item_7_version_type_18":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"程, 晨","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"31904","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-02-17"}],"displaytype":"detail","filename":"cheng_chen-thesis.pdf","filesize":[{"value":"895.3 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"cheng_chen-thesis.pdf","objectType":"fulltext","url":"https://ynu.repo.nii.ac.jp/record/7685/files/cheng_chen-thesis.pdf"},"version_id":"6466d976-4224-4650-93b1-dc4b1eceee52"},{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-02-17"}],"displaytype":"detail","filename":"cheng_chen-review.pdf","filesize":[{"value":"306.5 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"cheng_chen-review.pdf","url":"https://ynu.repo.nii.ac.jp/record/7685/files/cheng_chen-review.pdf"},"version_id":"ba1eca9d-5ba7-47c9-b407-b09823f9ed83"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"doctoral thesis","resourceuri":"http://purl.org/coar/resource_type/c_db06"}]},"item_title":"The estimation and prediction of credit rating with an application to SUEs in China","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"The estimation and prediction of credit rating with an application to SUEs in China","subitem_title_language":"en"}]},"item_type_id":"7","owner":"17","path":["405"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2017-02-17"},"publish_date":"2017-02-17","publish_status":"0","recid":"7685","relation_version_is_last":true,"title":["The estimation and prediction of credit rating with an application to SUEs in China"],"weko_creator_id":"17","weko_shared_id":-1},"updated":"2024-03-07T08:17:59.165307+00:00"}