A High-Level Framework for Green Customs and Research Agenda

被引：1

作者：

Rukanova, Boriana ^{[1
]}

Mannisto, Toni ^{[2
]}

Hintsa, Juha ^{[2
]}

Tan, Yao-Hua ^{[1
]}

Slegt, Micha ^{[3
]}

Heijmann, Frank ^{[3
]}

机构：

[1] Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands

[2] Cross Border Res Assoc, Echandens, Switzerland

[3] Customs Adm Netherlands, Rotterdam, Netherlands

来源：

PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH, DGO 2022: Intelligent Technologies, Governments and Citizens | 2022年

关键词：

Green customs; Circular economy; Sustainability; Supply chains; Monitoring;

D O I：

10.1145/3543434.3543660

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we propose a high-level framework for Green Customs which links the policy developments related to circular economy (CE), to customs and related stakeholder groups, customs activities, and customs innovative capabilities. The framework allows customs to better understand these links and identify capability gaps for circular economy monitoring and steer the developments in order to be better prepared for the future.

引用

页码：456 / 458

页数：3

共 4 条

[1]

Heijmann F., 2020, World Customs Journal, V14

[2] Enhancing Visibility in International Supply Chains: The Data Pipeline Concept [J].

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[3] Extended Data Pipeline for Circular Economy Monitoring [J].

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PROCEEDINGS OF THE 22ND ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH, DGO 2021, 2021, :551-553

[4] Identifying the value of data analytics in the context of government supervision: Insights from the customs domain [J].

Rukanova, Boriana ;

Tan, Yao-Hua ;

Slegt, Micha ;

Molenhuis, Marcel ;

Ben van Rijnsoever ;

Migeotte, Jonathan ;

Labare, Mathieu L. M. ;

Plecko, Krunoslav ;

Caglayan, Bora ;

Shorten, Gavin ;

van der Meij, Otis ;

Post, Suzanne .

GOVERNMENT INFORMATION QUARTERLY, 2021, 38 (01)

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