Evaluation of linkage efficiency between manufacturing industry and logistics industry considering the output of unexpected pollutants

Zheng, Wenlong; Wang, Jianwei; Zhang, Shiqing; Khan, Syed Abdul Rehman; Jiang, An-Ding; Xu-Quan, Yang; Xin, Zhang

doi:10.1080/10962247.2020.1811799

Cited by 15 publications

(6 citation statements)

References 17 publications

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“…The potential academic contributions of this paper are as follows: (1) The research divides the linkage types of the logistics industry and manufacturing industry into two types and selects appropriate regions for empirical analysis. (2) This study establishes an RAM model considering the joint efficiency measurement of the economy and environment, which can not only eliminate the problems of "angle", "radial" and nonrelaxation variables existing in the traditional DEA model, but can also realize the joint measurement of economic efficiency and environmental efficiency.…”

Section: Figure 1 the Relationship Between Logistics And Manufacturingmentioning

confidence: 99%

“…Therefore, the interactive relationship between logistics industry and manufacturing industry in different regions is not equal, and the interaction mode and degree between them are also quite different. The key to the common development of the manufacturing industry and logistics industry is to establish a relationship of mutual promotion, mutual benefit and interdependence [1][2][3]. Research on the interactive relationship between the logistics industry and manufacturing industry is helpful to determine the problems existing in the development of the linkage between the manufacturing industry and logistics industry and to explore ways to improve the efficiency of the linkage.…”

Section: Introductionmentioning

confidence: 99%

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Interaction Mechanism Between the Logistics Industry and Manufacturing Industry–Based on the Perspective of Different Linkage Types

Wang

Guo-guang

2021

IEEE Access

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The logistics industry and manufacturing industry are naturally closely linked. Analysis of the interaction mechanism between the logistics industry and manufacturing industry based on two different linkage types of outsourcing logistics and self-owned logistics is helpful to deepen the understanding of the relationship between these two industries. This paper performs a comparative analysis of the different linkage modes represented by the three northeast provinces and the Yangtze River Delta region in China. First, this paper analyzes the interactive influence mechanism of the logistics industry efficiency and manufacturing industry efficiency. Second, the adjustment mechanism of the logistics industry to the manufacturing industry under the two modes is analyzed according to the different logistics organization modes of the manufacturing industry. Finally, we build an efficiency measurement model considering the joint efficiency of the economy and environment. Using the panel vector autoregression(PVAR)model, this paper empirically compares and analyzes the interaction between the logistics industry and manufacturing industry under different linkage modes. The results show the following: (1) In different economic development areas, the interaction between logistics and manufacturing efficiency is not equal. (2) According to the different logistics methods of the manufacturing industry, there are self-owned modes and logistics outsourcing modes in the linkage development of the logistics industry and manufacturing industry. There are great differences in the mode and degree of action between the two modes. (3) The interactive relationship between logistics industry and manufacturing industry under different linkage modes is totally different, and the direction and intensity of the impact are also completely different.

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Section: Figure 1 the Relationship Between Logistics And Manufacturingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interaction Mechanism Between the Logistics Industry and Manufacturing Industry–Based on the Perspective of Different Linkage Types

Wang

Guo-guang

2021

IEEE Access

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“…PVAR model allows data to have individual effects and heteroscedasticity, it cannot only increase the degree of freedom of observations and control individual heterogeneity, but also relax the time stability requirements of data, so as to explain the complex relationship between variables [ 64 ]. In view of this, this paper uses PVAR model to analyze the interaction between logistics industry and manufacturing industry [ 30 ]. The PVAR model is as follows: where, y it represents the column vector of the investigated variable, i and t represent province and time respectively; m represents lag order, β j represents the coefficient of the corresponding lag term, and the value represents its effect on y it , μ i represents the individual fixed effects vector, β e , t represents the time effects vector, ε it is a random perturbation term.…”

Section: Methodsmentioning

confidence: 99%

“…The measurement indicators of the level of two-industry-linkage mainly include: influence coefficient and induction coefficient, symbiosis degree and symbiosis coefficient, grey correlation degree, grey grid correlation degree, comprehensive validity of collaborative development (DEA), order degree and coordination degree, coupling coordination degree. This paper will use PVAR model [ 30 ] and the coupling coordination degree [ 31 ] to analysis the level of two-industry-linkage.…”

Section: Literature Reviewmentioning

confidence: 99%

A study on the interaction between logistics industry and manufacturing industry from the perspective of integration field

Yan

Dong

et al. 2022

PLoS ONE

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Studying the linkage between manufacturing industry and logistics industry is conducive to explore and improve the efficiency of the common development of them. In order to study the interaction of logistics industry on the development of manufacturing industry and the development of two-industry-linkage, it first calculates the high-quality development level of logistics industry and manufacturing industry, then uses the coupling coordination model to theoretically analyze and empirically test the coupling and coordinated development level of high-quality development of logistics industry and manufacturing industry from three aspects: coupling degree, coordination degree and coupling coordination degree, and based on the perspective of integration field theory, it takes the three basic synthetic fields of logistics integrator, logistics base-nuclear and logistics connection-key as the analysis dimension, PVAR model was introduced for in-depth analysis the impact of logistics industry on manufacturing industry and the level of the two-industry-linkage. It was found that the high-quality development of China’s logistics industry and manufacturing industry is close on the whole, and the development trend is consistent, the high-quality development of them is mainly caused by the change of scale, but there is no obvious change in technical efficiency, which also provides a way for the high-quality development of the two-industry-linkage in the future. The two-industry-linkage mostly belongs to the situation of low-level mutual restriction, which has not yet reached a high level of mutual promotion, resulting in the overall coupling coordination degree basically in a state of barely coordination. The development of logistics industry and manufacturing industry need to go through certain practice and running in, when there is an error matching between the two, the logistics industry will inhibit the two-industry-linkage. When the economy develops to a certain extent, the expansion of the logistics system scale to the level of the two-industry-linkage is not necessarily beneficial, blindly exceeding the demand for logistics investment will cause a waste of resources, which is not conducive to the high-quality development of the logistics industry and the coupling and coordinated development of the two industries. In the long run, the change of the logistics basic-nuclear capacity, the logistics integrator scale and logistics connection-key level will have a positive impact on the change of green total factor productivity in manufacturing industry.

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“…e relative efficiency of each decisionmaking body is then reached. Based on the data of the evaluated object, it is evaluated by comparing the difference between the evaluated object and the previous one [13]. e classification of DEA models is shown in Figure 1.…”

Section: Research Methods and Materialsmentioning

confidence: 99%

Evaluation of Logistics Efficiency of Paper Skin Walnuts in Northwest China Based on DEA-Malmquist

Liu¹,

Li²,

Dang³

2022

Mathematical Problems in Engineering

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In recent years, with the rapid development of the Internet industry, the publicity effect of paperbark walnuts has been substantially increased, and the consumption and demand of paperbark walnuts have been rising, and the output of paperbark walnuts in China has also increased year by year. This paper takes the panel data of the top three prefecture-level cities in each GDP ranking of five provinces in northwest China from 2012 to 2021 as the sample and combines the DEA model with Malmquist to evaluate and analyze the logistics efficiency of paper walnuts in northwest China. It is found that the overall logistics efficiency of paperback walnuts in Northwest China has been improved in recent years, but there are still areas that need to be improved, such as the factor distribution is not reasonable enough; the logistics efficiency of paperback walnuts in Northwest China from 2012 to 2021 is in a fluctuating state; the logistics efficiency of paperback walnuts in Shaanxi Province is better than the other provinces and is in the leading position; the improvement of technological progress has a key role in the total factor productivity improvement. As a result, this paper puts forward five specific suggestions based on the research results to help accelerate the improvement of paper walnut logistics efficiency in Northwest China.

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Evaluation of linkage efficiency between manufacturing industry and logistics industry considering the output of unexpected pollutants

Cited by 15 publications

References 17 publications

Interaction Mechanism Between the Logistics Industry and Manufacturing Industry–Based on the Perspective of Different Linkage Types

Interaction Mechanism Between the Logistics Industry and Manufacturing Industry–Based on the Perspective of Different Linkage Types

A study on the interaction between logistics industry and manufacturing industry from the perspective of integration field

Evaluation of Logistics Efficiency of Paper Skin Walnuts in Northwest China Based on DEA-Malmquist

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