On Optimization of Industrial Land Transfer Procedure: A Case Study of the Standard Land in Deqing of China

Huiqiong Zhu, Haijun Bao () and Yuzhe Wu ()
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Huiqiong Zhu: Zhejiang University
Haijun Bao: Zhejiang University City College
Yuzhe Wu: Zhejiang University

A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 995-1010 from Springer

Abstract: Abstract At present, the long time for approval of the transfer of industrial land, low allocation efficiency and serious waste of land resources are still very serious, restricting the high-quality development of my country’s economy. This paper adopts a single-case research method, based on the analysis of the specific practices of the optimization and innovative application of industrial land procedures in the Deqing “standard land” reform, summarizes the optimization procedures for industrial land transfer, and finally draws the following conclusions: (1) Improving the market-based allocation of factors is an inevitable trend and effective choice for improving the efficiency of resource allocation; (2) Improving the construction of the system is an effective legal guarantee for the transfer of industrial land; (3) The coordinated work mechanism of various government departments and the formulation of standards and indicators before transfer are Land transfer provides standardized guidance; (4) Optimizing the approval process and shortening the approval time will increase corporate satisfaction and create a good business environment for the company; (5) The whole process supervision and joint reward and punishment mechanism ensure the effective implementation of relevant regulations, which is a reform Provide guarantee for the continuity of the process. It is hoped that the research in this article can provide some useful enlightenment for solving the dilemma of industrial land transfer.

Keywords: Standard land; Industrial land transfer; Procedure optimization (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-981-19-5256-2_78

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