中国欠发达地区物流减贫效率影响因素研究

戢晓峰, 李明骏, 陈方, 宗晓庆

北京交通大学学报(社会科学版) ›› 2023, Vol. 22 ›› Issue (2) : 80-89.

PDF(1036 KB)
欢迎访问《北京交通大学学报(社会科学版)》官方网站!今天是
PDF(1036 KB)
北京交通大学学报(社会科学版) ›› 2023, Vol. 22 ›› Issue (2) : 80-89. DOI: XX.XXXX/j.issn.1672-8106.2023.02.009
物流研究

中国欠发达地区物流减贫效率影响因素研究

  • 戢晓峰1,2,3, 李明骏1,2,3, 陈方2,3,4, 宗晓庆1,2,3
作者信息 +

Research on the Influencing Factors of Poverty Reduction Efficiency of Logistics in Underdeveloped Regions of China

  • JI Xiao-feng1,2,3, LI Ming-jun1,2,3, CHEN Fang2,3,4, ZONG Xiao-qing1,2,3
Author information +
文章历史 +

摘要

物流减贫效率的提升是乡村振兴战略下物流业发展面临的现实需求。本文基于2013-2020年我国19个欠发达省份的面板数据,通过改进主成分分析法确定物流减贫效率评价指标,利用超效率SBM模型评估减贫效率并对样本进行分类,随后构建时空地理加权模型,获取物流减贫效率外部影响因素。结果表明:在物流减贫效率分解方面,各欠发达省份差异显著,分属于成长型、潜力型、需求不足型和能力不足型四种类型。成长型欠发达省份受人力资本、信息开放程度影响较大,潜力型欠发达省份受物流规模、区域政策、信息开放程度影响较大,需求不足型与能力不足型欠发达省份除了受物流规模与物流技术影响外,分别受区域政策、信息开放程度影响较大。因此,结合不同类型欠发达省份特征提出不同的发展策略:成长型欠发达省份应积极推动教育与物流相结合;潜力型欠发达省份应持续关注物流投资规模的影响;需求不足型欠发达省份需正视物流先导性未有效体现所带来的短期性物流减贫效率低下;能力不足型欠发达省份应推进现代物流网络体系建设,发挥其在物流信息交流、物流技术沟通、物流经济协作等方面的引领作用。

Abstract

The improvement of logistics poverty reduction efficiency is the practical demand for the development of logistics industry under the rural revitalization strategy. Based on the panel data of 19 underdeveloped provinces in China from 2013 to 2020, this paper determined the evaluation index of logistics poverty reduction efficiency through improved principal component analysis method, and used the super-efficiency SBM model to evaluate the poverty reduction efficiency and classify the samples. Then, a spatial-temporal geographic weighted model was constructed to obtain the external influencing factors of logistics poverty reduction efficiency. The results show that the underdeveloped provinces exhibit significant differences in the decomposition of logistics poverty reduction efficiency, and can be divided into four types: growth type, potential type, insufficient demand type and limited capacity type. Growth-type underdeveloped provinces are strongly affected by human capital, information openness, while potential-type underdeveloped provinces by logistics scale, regional policy, and information openness; as for insufficient demand type and limited capacity type underdeveloped provinces, besides the scale of logistics and logistics technology, they are greatly influenced by regional policy and information openness respectively. Therefore, different development strategies are proposed based on the characteristics of different types of underdeveloped provinces. In specific, growth-type underdeveloped provinces should actively promote the combination of education and logistics; Potential type underdeveloped provinces should pay more attention to the influence of logistics investment scale. Underdeveloped provinces with insufficient demand need to face up to the low efficiency of short-term logistics poverty reduction caused by the lack of effective embodiment of logistics leadership; Underdeveloped provinces with limited capacity should promote the construction of modern logistics network system and play a leading role in logistics information exchange, logistics technology communication and logistics economic cooperation.

关键词

物流减贫效率 / 超效率SBM模型 / 欠发达地区 / 影响因素 / GTWR模型

Key words

poverty reduction efficiency of logistics / super efficiency SBM model / underdeveloped regions / influencing factor / GTWR model

引用本文

导出引用
戢晓峰, 李明骏, 陈方, 宗晓庆. 中国欠发达地区物流减贫效率影响因素研究[J]. 北京交通大学学报(社会科学版). 2023, 22(2): 80-89 https://doi.org/XX.XXXX/j.issn.1672-8106.2023.02.009
JI Xiao-feng, LI Ming-jun, CHEN Fang, ZONG Xiao-qing. Research on the Influencing Factors of Poverty Reduction Efficiency of Logistics in Underdeveloped Regions of China[J]. Journal of Beijing Jiaotong University(Social Sciences Edition). 2023, 22(2): 80-89 https://doi.org/XX.XXXX/j.issn.1672-8106.2023.02.009
中图分类号: F252.5   

参考文献

1 SAIDI S, MANI V, MEFTEH H, et al. Dynamic linkages between transport, logistics, foreign direct investment, and economic growth: Empirical evidence from developing countries[J]. Transportation Research Part A: Policy and Practice, 2020, 141(11):277-293.
2 AGGARWAL S. Do rural roads create pathways out of poverty? Evidence from India[J]. Journal of Development Economics,2018, 133(4):375-395.
3 戢晓峰,刘丁硕,陈方.连片特困地区交通运输扶贫效应的空间计量分析[J].公路交通科技,2019,36(9):150-158.
4 戢晓峰,李武,陈方.连片特困地区物流业发展的减贫效应测度[J].干旱区地理,2019,42(3):645-652.
5 MIN-JU SONG, HEE-YONG LEE. The relationship between international trade and logistics performance: A focus on the South Korean industrial sector[J]. Research in Transportation Business & Management, 2022, 44(3):100786.
6 赵珊珊,李红,唐洪松.“丝绸之路经济带”沿线国家物流水平对新疆国际贸易的影响研究[J].干旱区地理,2017,40(4):897-905.
7 李国刚,曹昱亮.区域物流发展与经济增长关系的实证研究[J].经济问题,2012,(12):121-124.
8 曾倩琳,孙秋碧.信息化、空间溢出效应与物流业生产率的提升[J].交通运输系统工程与信息,2017,17(1):40-46.
9 TONE K. A slacks-based measure of super-efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2002, 143(1):32-41.
10 郑长德,廖桂蓉.深度贫困地区贫困的时空关联性及其影响因素——基于GTWR模型的分析[J].中南民族大学学报(人文社会科学版),2019,39(5):144-148.
11 刘林,吴金南.区域物流能力影响经济增长的过程机制研究[J].统计与决策,2012,(12):46-49.
12 徐晓敏,谷晓燕.基于DEA-熵权法的区域物流环境综合评价模型[J].公路交通科技,2021,38(5):144-151.
13 田强,刘岩,李娜,等.基于DEA的泛环渤海经济圈物流产业效率评价研究[J].公路交通科技,2020,37(1):149-158.
14 刘华军,郭立祥,乔列成,等.中国物流业效率的时空格局及动态演进[J].数量经济技术经济研究,2021,38(5):57-74.
15 刘康,储玖琳,王坤,等.贵州省旅游减贫效率格局演化及其影响因素[J].西南大学学报(自然科学版),2021,43(10):135-145.
16 王海峰,田强,李金华,等.“一带一路”沿线省份物流效率及其影响因素的随机前沿分析[J].公路交通科技,2020,37(10):151-158.
17 龚雪.区域物流效率测度及影响因素分析[J].统计与决策,2022,38(12):112-116.
18 刘宏伟,杨荣璐,石红娟.物流枢纽城市物流业效率时空差异及其收敛性[J].北京交通大学学报(社会科学版),2022,21(2):122-133.
19 戢晓峰,李晓娟,陈方,等.精准扶贫以来中国交通扶贫的政策演进与实践经验[J].昆明理工大学学报(社会科学版),2021,21(6):71-79.

基金

国家自然科学基金项目“交通减贫效应测度及交通资源配置的空间补偿策略”(71904068)。

PDF(1036 KB)

Accesses

Citation

Detail

段落导航
相关文章

/