Mixed Integer Robust Programming Model for Multimodal Fresh Agricultural Products Terminal Distribution Network Design

The low efficiency and high cost of fresh agricultural product terminal distribution directly restrict the operation of the entire supply network.To reduce costs and optimize the distribution network,we construct a mixed integer programmingmodel that comprehensively considers tominimize fixed,transportation,fresh-keeping,time,carbon emissions,and performance incentive costs.We analyzed the performance of traditional rider distribution and robot distribution modes in detail.In addition,the uncertainty of the actual market demand poses a huge threat to the stability of the terminal distribution network.In order to resist uncertain interference,we further extend the model to a robust counterpart form.The results of the simulation show that the instability of random parameters will lead to an increase in the cost.Compared with the traditional rider distribution mode,the robot distribution mode can save 12.7%on logistics costs,and the distribution efficiency is higher.Our research can provide support for the design of planning schemes for transportation enterprise managers.

Research of Blockchain Technology in the Traceability of Characteristic Agricultural Products

With the increasingly prominent problem of food safety,the quality traceability of characteristic agricultural products has become a pressing issue.This study focuses on the application of blockchain technology in the traceability of characteristic agricultural products,aiming to explore its potential and practical value in improving the efficiency and transparency of the traceability system of agricultural products.Through the combination of case analysis and model construction,a blockchain-based traceability system for characteristic agricultural products was established.The results showed that the traceability system could effectively record the whole process information of agricultural products from production and processing to sales,and greatly improve the immutability and traceability of data.Lastly,this paper also points out that the use of blockchain technology can improve the market trust in characteristic agricultural products,provide consumers with authentic and reliable product information,and provide new technical means for the quality management of agricultural products.

Analysis of the Identification of Local Agriculture Products in the Municipality of Aileu, Manufahi, and Ainaro That Have Potential for Export and Attract Foreign Investments in Agricultural Sector

The objective of this study is to identify and collect information on local agriculture products and identify local potential agriculture and livestock that can attract foreign investments. Used Stratified Random Sampling and data was collected from both primary and secondary data (both quantitative and qualitative data. The data analyzed used qualitative and quantitative analysis. The supply chain analysis was carried out to develop a description of the value chain to identify potential high-value market areas and current and potential products in the domestic and export markets. The results of the study revealed that most farmers in the research location grow different types of crops and livestock. In particular for Aileu and Ainaro where most of the areas are up-land, therefore, horticulture crops (mustard, cabbage, carrots, and tomato) and coffee are dominated in these areas. For Manufahi, some parts are lowland areas, where most crops grown are maize, cassava, and paddy rice. The study reveals that local potential agriculture products and livestock in the municipalities of Aileu, Ainaro, and Manufahi are vegetable, coffee, maize, and paddy rice, banana, shallot, tangerine, cabbage, carrot, cattle, mung-bean, and banana. To accelerate economic growth, in these municipalities, there is a need to modernize agricultural production, requiring markets for both inputs supply and for the sale of output products. Opportunities to increase the productivity of these products are feasible and this can be done through the use of high-variety seeds and better farm management, and the government and private sector can play an important role in improving productivity as this will have a further implication in improving food security.

Marketing Strategies for Chinese Specialty Agricultural Products under the Internet Environment : Taking Tianshui Qinzhou Big Cherry Industry as an Example

Combined with the current situation of marketing of Chinzhou big cherries in Tianshui,we find out the problems in the development of network marketing of Chinzhou big cherries and put forward corresponding countermeasures and suggestions to improve its marketing level and solve the problem of imbalance between supply and demand of Qinzhou big cherries.

Analysis on the Problems and Strategies of Marketing Channels of Agricultural Products : Taking Liujun Lotus Root as an Example

Marketing channels are an important part of the circulation of agricultural products.With the development of China s agricultural industry,the marketing channels of agricultural products are continuously innovated and optimized.Taking Liujun Lotus Root as an example,on the basis of studying the existing model of marketing channels of agricultural products,this paper analyzes the problems in the existing marketing channels of Liujun Lotus Root,and puts forward relevant strategies.

Water diversion and agricultural production:Evidence from China

Water diversion can alleviate water shortages caused by the uneven distribution of water resources.China’s Southto-North Water Diversion Project(SNWD)is the largest water diversion project worldwide.Based on the prefecturelevel data of China’s Huang-Huai-Hai Plain from 2000 to 2020,this study employs an empirical strategy of Differencesin-Differences(DID)to analyze the impact of SNWD on agricultural production.The results show that SNWD has significantly increased agricultural production,measured by the agricultural value added.The estimated results of the benchmark model remain robust when the contemporaneous policy is addressed,an alternative outcome is used,subsamples are estimated,and alternative estimation techniques are employed.This study argues that the potential impact mechanism may be that SNWD significantly increases the acreage for cash crops but reduces that for grain crops.Heterogeneity analysis shows that in prefectures with high temperature or land potential,SNWD’s impact on agricultural value added is relatively low.In contrast,in areas with prolonged sunshine or high slopes,SNWD’s impact on agricultural value added is relatively large.Given the low added value of grain crops,the government should consider strengthening food security by subsidizing water supply to sustain grain production.

Construction of Strategic Supporting-System for Anti-dumping Measures on China's Agricultural Products

With the international trade theories as the basis,this study started with researches on the reality of agricultural products that often experience anti-dumping,carried out a careful study on the construction of business strategic supporting-system to cope with the anti-dumping so as to promote the association governance and industrial warning mechanism and to provide new strategic thinking and theoretical support for the exporters to cope with anti-dumping.

Application of Deep Learning to Production Forecasting in Intelligent Agricultural Product Supply Chain

Production prediction is an important factor influencing the realization of an intelligent agricultural supply chain.In an Internet of Things(IoT)environment,accurate yield prediction is one of the prerequisites for achieving an efficient response in an intelligent agricultural supply chain.As an example,this study applied a conventional prediction method and deep learning prediction model to predict the yield of a characteristic regional fruit(the Shatian pomelo)in a comparative study.The root means square error(RMSE)values of regression analysis,exponential smoothing,grey prediction,grey neural network,support vector regression(SVR),and long short-term memory(LSTM)neural network methods were 53.715,6.707,18.440,1.580,and 1.436,respectively.Among these,the mean square error(MSE)values of the grey neural network,SVR,and LSTM neural network methods were 2.4979,31.652,and 2.0618,respectively;and theirRvalues were 0.99905,0.94,and 0.94501,respectively.The results demonstrated that the RMSE of the deep learning model is generally lower than that of a traditional prediction model,and the prediction results are more accurate.The prediction performance of the grey neural network was shown to be superior to that of SVR,and LSTM neural network,based on the comparison of parameters.

Analysis of Agricultural Product Marketing Channels with Tashan Pomegranate as an Example

In the context of the digital economy, agricultural product marketing has also undergone new development, and the models of agricultural product marketing are constantly innovating. Based on the current sales situation of Tashan Pomegranate, this paper analyzed the existing sales channels of Tashan Pomegranate. It found that Tashan Pomegranate currently has insufficient online marketing channels, incomplete logistics system, and a lack of comprehensive talents in online marketing. In response to the existing problems, constructive recommendations are proposed for the online marketing channels of agricultural products in Lieshan District, and a network marketing path suitable for Tashan Pomegranate in Lieshan District was explored.

Using Quantile Regression Approach to Analyze Price Movements of Agricultural Products in China

This paper studies how the price movements of pork,chicken and egg respond to those of related cost factors in short terms in Chinese market.We employ a linear quantile approach not only to explore potential data heteroscedasticity but also to generate confidence bands for the purpose of price stability study.We then evaluate our models by comparing the prediction intervals generated from the quantile regression models with in-sample and out-of-sample forecasts.Using monthly data from January 2000 to October 2010,we observed these findings：（i） the price changes of cost factors asymmetrically and unequally influence those of the livestock across different quantiles;（ii） the performance of our models is robust and consistent for both in-sample and out-of-sample forecasts;（iii） the confidence intervals generated from 0.05th and 0.95th quantile regression models are good methods to forecast livestock price fluctuation.

Empirical Research on Influencing Factors of Trade Competitiveness of China's Agricultural Products

Based on the analysis of the indices of RCA and TSC of agricultural products in China,according to China Statistical Yearbook,China Rural Statistical Yearbook and data from database of The Food and Agriculture Organization of the United Nations from 1996 to 2009,We select direct influencing factors and indirect influencing factors as reference as series of numbers,regard indices of RCA and TSC as index series of numbers of evaluation,and use grey correlation analysis method to conduct analysis and evaluation on influencing factors of trade competitiveness of China's agricultural products.The results show that due to different index calculation methods,the sequencing results of all factors are not wholly the same.But on the whole,in terms of transformation from cost advantage and price advantage into competition advantage,the ability of direct factors is strong,impacting significantly trade competitiveness of China's agricultural products,while the influencing effect of indirect factors is relatively weak.On the basis of this,we put forward the suggestions in order to improve trade competitiveness of China's agricultural products as follows:firstly,we should strengthen and perfect agricultural agriculture-support policy;secondly,we should promote foreign merchants’ direct investment level in agriculture;thirdly,we should deepen the processing ability of agricultural products and promote quality of agricultural products;fourthly,we should create good trade environment.

Paths for Upgrade and Transformation of E-commerce of China's Fresh Agricultural Products Based on Whole Industry Supply Chain

China's e-commerce market scale of fresh agricultural products has reached 1000 billion yuan,and the prospect is bright.However,in the face of such problems as quality control,storage and distribution,and consumption habits,the fresh product e-commerce has great difficulty in development.Internet generates large data,and data are the resources and the core of the Internet and the foundation for survival and development of Internet.This paper analyzed the current situation of the development of fresh agricultural products,and discussed the plight of fresh product e-commerce in scale,profit,non-standard,and network environment.On the basis of the whole industry supply chain,it came up with paths for upgrade and transformation of the fresh product e-commerce with the big data as the core in the context of Internet environment.

Process Reengineering of Cold Chain Logistics of Agricultural Products Based on Low-carbon Economy

Through the process analysis of cold chain logistics of agricultural products,we find that cold chain logistics of agricultural products contradict the development model of low-carbon economy to some extent.We apply the development idea of low-carbon economy,introduce the thirdparty logistics companies,establish distribution center of cold chain logistics of agricultural products,and strengthen information sharing,to reengineer the process of cold chain logistics of agricultural products in China.The results show that applying low-carbon economy to process reengineering of cold chain logistics of agricultural products,has advantages of increasing added value of products,promoting scale merit and abating lag,plays a role in promoting emission reduction,high efficiency and environmental protection in the process of cold chain logistics of agricultural products in China.

On Construction of Supply Chain System for China's Modern Agricultural Products

In view of drawbacks in supply chain of China's traditional agricultural products,this paper proposed building supply chain system for modern agricultural products: taking informationization as basis,channel system as core,organization system as support,and service system and safety system as guarantee,to promote high efficient operation of the supply chain system. The channel system stresses alliance and integration of channel system,informationization of channel management,and terminalization of channel operation; the organization system stresses organization,large scale,group,and brand of participant entities; service system stresses construction of service means,service platform,and operation mechanism; safety system stresses building quality safety based agricultural product supply chain management mode. In order to ensure high efficient operation of supply chain for modern agricultural products,it is required to straighten out supply chain management system,actively cultivate core enterprises of supply chain,strengthen information construction of supply chain,select suitable supply chain mode,and improve benefit allocation mechanism.

Preliminary Study on the Standard of Selenium Content in Agricultural Products

With the improvement of living standards, people pay more attention to the agricultural products with health protection function, and the selenium-rich agricultural products attract more and more consumers. The main biological role of selenium is to resist oxidation and inflammatory response, mainly focusing on resisting aging, preventing cardiovascular disease, protecting eyesight, counteracting or destroying the toxic properties, preventing cancer and thyroid disease. In most areas of China, there is a widespread shortage of selenium, thus producing selenium-rich agricultural products to provide natural selenium-rich health food to the areas in need of selenium, has gradually become a new hot spot of China's health food industry, but high content of selenium in food is detrimental to human body, even leads to selenium intoxication, and artificially adding inorganic selenium is difficult to guarantee that the selenium content of agricultural products is not exceeded. According to human body's daily demand for selenium in dietetics and the content of selenium in agricultural products in the Chinese food composition table, we put forward the recommendations on the standard of selenium in agricultural products, in order to provide the basis for China to formulate the health standard of selenium content in selenium-rich agricultural products.

Research on Site Selection Model of Distribution Center of Agricultural Products

In the light of the practical situation of logistics distribution of agricultural products,we primarily select transportation factor,economic factor,environment factor,and other factors,to establish evaluation index system of site selection of distribution center of agricultural products.And then we adopt the analytic hierarchy process method to calculate weight of site selection of distribution center of agricultural products.Under the circumstance that the evaluation information is interval number,we use uncertain and multiple attribute decision making method to establish site selection model of distribution center of agricultural products.Finally,taking one city as an example,we discuss the application of this model in site selection of distribution center of agricultural products.The results of empirical analysis show that the model we established fully considers the randomness and uncertainty in the process of evaluation,so as to make the results of evaluation more objective,in line with reality.So the effect of evaluation is better as against the former real number evaluation calibration.

Analysis of Factors Influencing the Growth of Export of Agricultural Products in Yunnan Province: An Empirical Study Based on CMS Model

Yunnan Province is the bridgehead for the opening of the southwest region in China,and the economic frontier of China-ASEAN economic cooperation,where the export of agricultural products plays an important role in promoting the openness of the southwest region and strengthening China-ASEAN economic cooperation.In this paper,we use CMS model to analyze causes of the increase in the exports of agricultural products in Yunnan Province during the period 2001-2010.It is found that the expanded import scale of agricultural products in the world,improvement in the export competitiveness of products and the adaption of product export structure to the changes in the structure of world import demand,are the main factors responsible for increase in the exports of agricultural products in Yunnan Province.In recent years, the improvement of competitiveness of the export of agricultural products becomes a key factor for the growth of the export of agricultural products in Yunnan Province.In terms of the products classified,strong export competitiveness has promoted the export of plant products,such as beverages and tobacco,while weak export competitiveness and unreasonable export structure has impeded the export of animal products,plant and animal oil and fat products.

Factors Influencing Price of Agricultural Products and Stability Countermeasures

Factors leading to rise of prices of agricultural products mainly include tension of supply-demand relationship,promotion of production cost and circulation cost,and speculation of Refugee Capital(Hot Money).Factors leading to low price and difficult sales of agricultural products mainly include asymmetry of supply-demand information,lack of risk management tools for prices of agricultural products and decentralized and small-scaled operation of farmers.On the basis of these factors,this paper presents following countermeasures and suggestions for stabilizing prices of agricultural products:firstly,building long-effect mechanism for production and sales of agricultural products;secondly,expand the production and increase supply of agricultural products;thirdly,control the rising range of production cost for agricultural products;fourthly,enhance organization level of farmers;fifthly,promote innovation and development of risk management tools for prices of agricultural products.

Construction of Network Management Information System of Agricultural Products Supply Chain Based on 3PLs

The necessity to construct the network management information system of 3PLs agricultural supply chain is analyzed,showing that 3PLs can improve the overall competitive advantage of agricultural supply chain.3PLs changes the homogeneity management into specialized management of logistics service and achieves the alliance of the subjects at different nodes of agricultural products supply chain.Network management information system structure of agricultural products supply chain based on 3PLs is constructed,including the four layers (the network communication layer,the hardware and software environment layer,the database layer,and the application layer) and 7 function modules (centralized control,transportation process management,material and vehicle scheduling,customer relationship,storage management,customer inquiry,and financial management).Framework for the network management information system of agricultural products supply chain based on 3PLs is put forward.The management of 3PLs mainly includes purchasing management,supplier relationship management,planning management,customer relationship management,storage management and distribution management.Thus,a management system of internal and external integrated agricultural enterprises is obtained.The network management information system of agricultural products supply chain based on 3PLs has realized the effective sharing of enterprise information of agricultural products supply chain at different nodes,establishing a long-term partnership revolving around the 3PLs core enterprise,as well as a supply chain with stable relationship based on the supply chain network system,so as to improve the circulation efficiency of agricultural products,and to explore the sales market for agricultural products.

Analysis of Supply Chain Model of Agricultural Products and Quality Safety——A Case Study of Heilongjiang Province

This paper analyses the supply chain models of four types of agricultural products,namely fruits and vegetables,poultry,aquatic products and dairy,and the food safety problems arising from the links of supply chain.In view of different models,corresponding suggestions are put forward to ensure the quality safety of agricultural products in Heilongjiang Province.