Simulation analysis of the evolutionary mechanism of low-carbon rural logistics

被引:7
作者
Zhang, Dongmei [1 ]
Wang, Linzhi [2 ]
Xu, Jing [3 ]
Chen, Kunhua [4 ]
机构
[1] Jiangsu Univ, Sch Management, Xuefu Rd 301, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Zhenjiang Coll, Sch Elect & Informat, Changxiang West Rd 518, Zhenjiang 212028, Jiangsu, Peoples R China
[3] Yangzhou Univ, Business Sch, Huayang West Rd 196, Yangzhou 225009, Jiangsu, Peoples R China
[4] Jiangsu Univ, Sch Elect & Informat Engn, Xuefu Rd 301, Zhenjiang 212013, Jiangsu, Peoples R China
来源
DYNA | 2021年 / 96卷 / 05期
关键词
environmental regulations; low-carbon rural logis-tics potential; low-carbon rural logistics strength; the evolution-ary framework; three-dimensional evolutionary equation; INNOVATION; MODEL;
D O I
10.6036/10236
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To promote the low-carbonization of rural logistics, the embeddedness among low-carbon rural logistics potential (LRLP), low-carbon rural logistics strength (LRLS) and environmental regulations (ERs) was clarified by using the analytical paradigm of impetus-basis-target. According to the embeddedness, an evolutionary framework of the low-carbon rural logistics system was constructed to analyze the evolutionary process of this system. Then, a three-dimensional evolutionary equation of the low -carbon rural logistics system was proposed based on the evolutionary framework, and the evolutionary threshold criterion of the system was obtained through the stability analysis of the evolutionary equation. The interaction mechanism within the evolutionary process of the low-carbon rural logistics system in China was verified through data simulation in MATLAB. The results show that in an environment with lower ERs, the effect of simply relying on LRLS to promote the sustainable development of low-carbon rural logistics is not obvious, and the overall effect is not significant. In the long term, under the influence of different external control variables, LRLP plays a pivotal role in evolution, and improving LRLP is conducive to promoting the sustainable development process of low-carbon rural logistics.
引用
收藏
页码:484 / 491
页数:8
相关论文
共 37 条
[1]   How to improve firm performance using big data analytics capability and business strategy alignment? [J].
Akter, Shahriar ;
Wamba, Samuel Fosso ;
Gunasekaran, Angappa ;
Dubey, Rameshwar ;
Childe, Stephen J. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2016, 182 :113-131
[2]  
[Anonymous], 2010, J ENG SCI ANDTECHNOL, DOI DOI 10.25103/JESTR.031.13
[3]  
[柏庆国 Bai Qingguo], 2017, [中国管理科学, Chinese Journal of Management Science], V25, P28
[4]  
Brzozowska A, 2016, AKTUALNI PROBLEMY EK, V178, P143
[5]   INTERNET OF THINGS AND SMART WAREHOUSES AS THE FUTURE OF LOGISTICS [J].
Buntak, Kresimir ;
Kovacic, Matija ;
Mutavdzija, Maja .
TEHNICKI GLASNIK-TECHNICAL JOURNAL, 2019, 13 (03) :248-253
[6]   Lean, green practices and process innovation: A model for green supply chain performance [J].
Cherrafi, Anass ;
Garza-Reyes, Jose Arturo ;
Kumar, Vikas ;
Mishra, Nishikant ;
Ghobadian, Abby ;
Elfezazi, Said .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2018, 206 :79-92
[7]   Exploring Technological Trends in Logistics: Topic Modeling-Based Patent Analysis [J].
Choi, Donghyun ;
Song, Bomi .
SUSTAINABILITY, 2018, 10 (08)
[8]  
Dai Y, 2013, FORUM SCI TECHNOLOGY, V11, P144, DOI [10.13580/j.cnki.fstc.2013.11.024, DOI 10.13580/J.CNKI.FSTC.2013.11.024]
[9]   Last-mile logistics fulfilment: A framework for energy efficiency [J].
Halldorsson, Arni ;
Wehner, Jessica .
RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2020, 37
[10]  
[戢守峰 Ji Shoufeng], 2017, [系统工程理论与实践, Systems Engineering-Theory & Practice], V37, P2071