Assessment of government supervision on the loss of sea sand resource in China

Illegal mining activities on offshore sands have recently increased dramatically in China owing to the strong demand of the construction industry and restriction of river sand mining. By studying the loss mechanism of marine sand resources, this study proposes a simplified linear programming model t...

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Main Authors: Yingnan Liu, Changbiao Zhong, Bin Bai, Yan Zhou
Format: Article
Language:English
Published: Taylor & Francis Group 2021-09-01
Series:Ekonomska Istraživanja
Subjects:
Online Access:http://dx.doi.org/10.1080/1331677X.2021.1977672
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spelling doaj-d1acc3a05a574ca2bea76af3799558652021-10-04T13:57:00ZengTaylor & Francis GroupEkonomska Istraživanja1331-677X1848-96642021-09-010011510.1080/1331677X.2021.19776721977672Assessment of government supervision on the loss of sea sand resource in ChinaYingnan Liu0Changbiao Zhong1Bin Bai2Yan Zhou3School of Business, Ningbo UniversitySchool of Business, Ningbo UniversityCollege of Humanities and Communication, Ningbo UniversitySchool of Business, Ningbo UniversityIllegal mining activities on offshore sands have recently increased dramatically in China owing to the strong demand of the construction industry and restriction of river sand mining. By studying the loss mechanism of marine sand resources, this study proposes a simplified linear programming model to quantitatively analyse the control effects related to resource loss and law enforcement costs. To accurately simulate the effectiveness of law enforcement activity, a set of variables is designed in the model to describe the severity of illegal mining and enforcement skills of the officers. Subsequently, based on different settings of law enforcement capability, the model can not only make reasonable projections for sand losses but also provide a minimum cost solution for marine sand control for government agencies. Finally, various regulatory measurements and suggestions are discussed to improve the effectiveness of the government’s regularisation and cost optimisation for law enforcement.http://dx.doi.org/10.1080/1331677X.2021.1977672marine sand mineresource losssimplified linear programming modelgovernment supervisionpolicy assessment
collection DOAJ
language English
format Article
sources DOAJ
author Yingnan Liu
Changbiao Zhong
Bin Bai
Yan Zhou
spellingShingle Yingnan Liu
Changbiao Zhong
Bin Bai
Yan Zhou
Assessment of government supervision on the loss of sea sand resource in China
Ekonomska Istraživanja
marine sand mine
resource loss
simplified linear programming model
government supervision
policy assessment
author_facet Yingnan Liu
Changbiao Zhong
Bin Bai
Yan Zhou
author_sort Yingnan Liu
title Assessment of government supervision on the loss of sea sand resource in China
title_short Assessment of government supervision on the loss of sea sand resource in China
title_full Assessment of government supervision on the loss of sea sand resource in China
title_fullStr Assessment of government supervision on the loss of sea sand resource in China
title_full_unstemmed Assessment of government supervision on the loss of sea sand resource in China
title_sort assessment of government supervision on the loss of sea sand resource in china
publisher Taylor & Francis Group
series Ekonomska Istraživanja
issn 1331-677X
1848-9664
publishDate 2021-09-01
description Illegal mining activities on offshore sands have recently increased dramatically in China owing to the strong demand of the construction industry and restriction of river sand mining. By studying the loss mechanism of marine sand resources, this study proposes a simplified linear programming model to quantitatively analyse the control effects related to resource loss and law enforcement costs. To accurately simulate the effectiveness of law enforcement activity, a set of variables is designed in the model to describe the severity of illegal mining and enforcement skills of the officers. Subsequently, based on different settings of law enforcement capability, the model can not only make reasonable projections for sand losses but also provide a minimum cost solution for marine sand control for government agencies. Finally, various regulatory measurements and suggestions are discussed to improve the effectiveness of the government’s regularisation and cost optimisation for law enforcement.
topic marine sand mine
resource loss
simplified linear programming model
government supervision
policy assessment
url http://dx.doi.org/10.1080/1331677X.2021.1977672
work_keys_str_mv AT yingnanliu assessmentofgovernmentsupervisiononthelossofseasandresourceinchina
AT changbiaozhong assessmentofgovernmentsupervisiononthelossofseasandresourceinchina
AT binbai assessmentofgovernmentsupervisiononthelossofseasandresourceinchina
AT yanzhou assessmentofgovernmentsupervisiononthelossofseasandresourceinchina
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