PPPs Policy Entity Network Change and Policy Learning in Mainland China

المؤلفون المشاركون

Jiang, Ying
Wang, Qian

المصدر

Complexity

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-12-19

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

الفلسفة

الملخص EN

Since 1995, Public-Private Partnerships (PPPs) mode has been applied in mainland China accompanied by the issuance of a series of PPPs policies.

Taking 201 policy documents promulgated from 1995 till 2019 as a research sample, this paper explores PPPs policy entity network change and policy learning behind it in China.

Research results show the following: (1) China’s PPPs policy entity network has mainly gone through three stages: partial-focus network with bad stability, loose-multiactor network with general stability, and balanced-multiactor network with good stability; (2) the key players are NPC in the first stage, MOF and NDRC in the second stage, and MOF and 8 other government entities in the third stage; (3) policy learning behind PPPs policy entity network change is government learning in the first stage and lesson-drawing in the second and third stages.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Jiang, Ying& Wang, Qian. 2020. PPPs Policy Entity Network Change and Policy Learning in Mainland China. Complexity،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1144647

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Jiang, Ying& Wang, Qian. PPPs Policy Entity Network Change and Policy Learning in Mainland China. Complexity No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1144647

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Jiang, Ying& Wang, Qian. PPPs Policy Entity Network Change and Policy Learning in Mainland China. Complexity. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1144647

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1144647