A nonlinear empirical analysis on influence factor of circulation efficiency

Wu Chanti; Qiu Youzhen

doi:10.3934/dcdss.2019062

Article Contents

2019, Volume 12, Issue 4&5: 929-940. Doi: 10.3934/dcdss.2019062 open access

This issue Previous Article Retraction: Xiao-Qian Jiang and Lun-Chuan Zhang, Stock price fluctuation prediction method based on time series analysis Next Article Atmospheric environmental quality assessment method based on analytic hierarchy process

A nonlinear empirical analysis on influence factor of circulation efficiency

Wu Chanti^1,2, , and
Qiu Youzhen^3,

1.
College of Business Administration, Ningbo Dahongying University, No.899 Xueyuan Road, Haishu District, Ningbo 315175, Zhejiang, China
2.
Department of Economic and Trade, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea
3.
School of Business Administration, Jiangxi University of Finance and Economics, No.168 Shuang Gang East Street, Nanchang 330013, Jiangxi, China

* Corresponding author: 18511513@qq.com
* Corresponding author: 18511513@qq.com

Received: May 31, 2017

Revised: November 30, 2017

Published: March 2019

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Abstract

A series of phenomena including lower circulation efficiency of Chinese fresh agricultural products, postharvest decay, damage and waste of agricultural products, regional and structural contradiction of supply and demand, drastic fluctuation in price and difficulty in buying and selling, etc. are serious, which has restricted the sound development of Chinese fresh agricultural product industry. To analyze and discuss main factors affecting circulation efficiency of Gannan navel orange, the methods, such as AHP (analytic hierarchy process) and Delphic method, etc., have been used for empirical analysis on Gannan navel orange, and it is found that fruit factors (including single structure and centralized mature period of navel orange, etc), infrastructure factors (including the lack standardization for construction of trading place, outdated warehousing facility and technology, insufficient input of infrastructure of cold chain, etc) and policy environment factors (including food safety, absence of relevant laws and regulations of market supervision, etc) are the existing main factors restricting high-efficient circulation of Gannan navel orange. Based on the conclusion of empirical research and beginning with main circulation links of production, storage and transportation as well as marketing, etc and supporting measures of brand building, product safety and policy service system, etc, the countermeasures and suggestions are proposed to improve circulation efficiency of Gannan navel orange.

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Mathematics Subject Classification: Primary: 58F15, 58F17; Secondary: 53C35.

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Figure 1. Hierarch Structure Model for Evaluation on Level of Influence Factor of Circulation Efficiency of Gannan Navel Orange

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Table 1. Index System for Influence Factor of Circulation Efficiency of Gannan Navel Orange

	Class-1 index	Class-2 index
Evaluation on Level of Influence Factor of Circulation Efficiency of Gannan Navel Orange	Fruit factor C$_{1}$	Fruit seasonality c$_{\mathbf{11}}$
		Fruit storability c$_{12}$
		Demand for initial processing of fresh fruit c$_{13}$
		Consumption preference c$_{14}$
	Quality level of participant C$_{2}$	Scale of participant c$_{21}$
		Capability of getting information c$_{22}$
		Logistics professionalization quality level c$_{23}$
		Mutual cooperation level c$_{24}$
	Infrastructure construction of logistics C$_{3}$	Traffic transportation facility construction c$_{31}$
		Trading place construction c$_{32}$
		Warehousing facility construction c$_{33}$
		Information spreading network construction c$_{34}$
		Infrastructure construction of cold chain c$_{\mathbf{35}}$
	Market environment C$_{4}$	Degree of market opening c$_{41}$
		Degree of fair transaction c$_{42}$
		Degree of market activity c$_{\mathbf{43}}$
	Policy environment C$_{5}$	Agricultural industry investment policy c$_{51}$
		Charge policy for agricultural products circulation c$_{52}$
		Food safety policy c$_{\mathbf{53}}$

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Table 2. 1-9 Scale Method and Definition

Scale	$x_{i}, x_{j} $ pairwise comparison standard
1	X$_{i}$ and X$_{j}$ is equal in importance
3	X$_{i }$is weakly important than X$_{j}$
5	X$_{i }$is obviously important than X$_{j}$
7	X$_{i}$ is strongly important than X$_{j}$
9	X$_{i }$is extremely important than X$_{j}$
2, 4, 6, 8	Mid-value of the above two adjacent judgments $a_{ji} =1/a_{ij} $
Reciprocal	$a_{ij} $ is the comparison judgment between factor i and j, and the comparison judgment between factor i and j that $a_{ji} =1/a_{ij} $.

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Table 3. Value of Average Random Consistency Index (0$^{th}$ and 10$^{th}$ order)

n	1	2	3	4	5	6	7	8	9	10
$RI$	0	0	0.58	0.90	1.12	1.24	1.32	1.41	1.45	1.49

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Table 4. Results of Random Consistency Check

	A	A$_{\mathbf{1}}$	A$_{\mathbf{2}}$	A$_{\mathbf{3}}$	A$_{\mathbf{4}}$	A$_{\mathbf{5}}$
$CI $ value	0.0013	0.0546	0.0103	0.0083	0.0429	0.0368
$RI $ value	1.12	0.90	0.90	1.12	0.58	0.58
CR value	0.0012	0.0607	0.0115	0.0074	0.0739	0.0634

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Table 5. Summary of Data of Index System for Influence Factor of Circulation Efficiency of Gannan Navel Orange

The first hierarchy		The second hierarchy		Class distribution
Index	Weight No.	Index	Weight No.	Very good	Good	Common	Poor	Very poor
Fruit factor A$_{1}$		Fruit seasonality a$_{11}$	0.2599	0.00	0.00	0.17	0.47	0.37
		Fruit storability a$_{12}$	0.4502	0.03	0.07	0.40	0.33	0.17
		Demand for initial processing of fresh fruit a$_{13}$	0.1838	0.00	0.17	0.73	0.10	0.00
		Consumption preference a$_{14}$	0.1061	0.10	0.33	0.53	0.03	0.00
Quality level of participant A$_{2}$		Scale of participant a$_{21}$	0.2776	0.00	0.27	0.50	0.17	0.07
		Capability of getting information a$_{22}$	0.1603	0.07	0.17	0.27	0.33	0.17
		Logistics professionalization quality level a$_{23}$	0.4668	0.03	0.23	0.23	0.33	0.17
		Mutual cooperation level a$_{24}$	0.0953	0.07	0.17	0.43	0.23	0.10
Infrastr ucture construction of logistics A$_{3}$		Traffic transportation facility construction a$_{31}$	0.2154	0.10	0.33	0.27	0.20	0.10
		Trading place construction a$_{32}$	0.0735	0.00	0.13	0.30	0.43	0.13
		Warehousing facility construction a$_{33}$	0.1208	0.03	0.10	0.27	0.40	0.20
		Information spreading network construction a$_{34}$	0.3749	0.17	0.23	0.40	0.13	0.07
		Infrastructure construction of cold chain a$_{35}$	0.2154	0.00	0.00	0.23	0.50	0.27
Market environ ment A$_{4}$		Degree of market opening a$_{41}$	0.2255	0.27	0.47	0.20	0.07	0.00
		Degree of fair transaction a$_{42}$	0.1007	0.23	0.53	0.20	0.03	0.00
		Degree of market activity a$_{43}$	0.6738	0.03	0.13	0.43	0.30	0.10
Policy enviro nment A$_{5}$		Agricultural industry investment policy a$_{51}$	0.6144	0.13	0.40	0.33	0.10	0.03
		Charge policy for agricultural products circulation a$_{52}$	0.1172	0.10	0.23	0.40	0.20	0.07
		Food safety policy a$_{53}$	0.2684	0.00	0.10	0.30	0.40	0.20
Data source: calculation based on data of survey

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Table 6. Results for Evaluation on Level of Efficiency Influence Factor of Circulation Pattern of Gannan Navel Orange

Factor set	Very good	Good	Common	Poor	Very poor	Good and over	Common and over
A	0.0727	0.1971	0.3439	0.4631	0.1270	0.2698	0.6137
A$_{1}$	0.0256	0.0960	0.4148	0.2933	0.1703	0.1216	0.5364
A$_{2}$	0.0326	0.2255	0.3318	0.2775	0.1326	0.2581	0.5899
A$_{3}$	0.0881	0.1812	0.3119	0.2809	0.1379	0.2692	0.5811
A$_{4}$	0.1061	0.2488	0.3572	0.2205	0.0674	0.3549	0.7121
A$_{5}$	0.0936	0.2999	0.3322	0.1922	0.0820	0.3936	0.7258

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