Author(s)

Wang Zhenzhen

Corresponding Author

Wang Zhenzhen

ABSTRACT

Building an ecological civilization is the millennium of the sustainable development of a nation. The old book recycling and sharing application network big data practice green water and mountain is the concept of saving resources,protecting the environment and forming a green development mode and lifestyle.Based on the background of the recycling of old books, this paper compares the benefits of the two recycling modes existing in the market,and uses questionnaires to accurately locate the needs of students.After exploring the four schemes,this paper proposes to set up the teaching materials as a means of circulation, borrowers to brush the teaching materials,the sellers to obtain the teaching materials, the borrowers and sellers as the main body,and the library as the platform and resource library. Positioning.Manage resources but not all resources,provide trading means but do not limit the transaction content, thus achieving resource optimization configuration.This paper proposes one of the forms sharing the economy to share the library to effectively recycle old books. This model uses graphs to illustrate the feasibility, present its technical means, database support system,and endorse its operational benefits.This paper adopts the literature method for paper pollution, and adopts the investigation method for the recycling of old books: 1. Questionnaire method 2,field investigation method 3, interview investigation method.According to the statistical conclusions of the survey data, the evaluation of the maximum benefit that can be achieved under the conditions of the establishment of the old textbook recycling library is designed, and the means of recovery, lending means,incentive mechanism, profitability and final energy saving are used in the mathenatical modle. The shared library of the old book recycling program using the network big date enables the use of new and old textbooks to be transformed and seamlessly connected.

KEYWORDS

Old book recycling; incentive mechanism; emission reduction; big data;sharing economy