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Whispering (52): Intensive reading of journal articles - model building and model analysis

author:LearningYard学苑
Whispering (52): Intensive reading of journal articles - model building and model analysis

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Today, I would like to bring you the article "Platform Financing or Bank Financing in the Agricultural Supply Chain: The Impact of Platform Digital Empowerment".

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Dear, this is the LearingYard Academy!

Today, the editor brings the "

Platform financing or bank financing in agricultural supply chains: Theimpact of platform digital empowerment".

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1 内容摘要(Content summary)

Today, the editor will interpret and share the model construction and model analysis part of the article "Platform Financing or Bank Financing in the Agricultural Supply Chain: The Impact of Platform Digital Empowerment" from the three sections of "Mind Map, Intensive Reading Content, and Knowledge Supplement".

Today, I will explain and share the model construction and model analysis part of the article “Platform financing or bank financing in agricultural supply chains: the impact of platform digital empowerment” from three sections of “mind mapping, intensive reading, and knowledge supplementation”.

2 思维导图(Mind mapping)

Whispering (52): Intensive reading of journal articles - model building and model analysis

3 精读内容(Intensive reading content)

3.1 模型构建(model building)

1.模型构建背景(Background on model building)

In the model construction part, the authors described the relevant variables, including the yield x of agricultural products without PDE, the level of farmer planting technology application (PTA), the cost of PTA, the cost coefficient and the total yield of agricultural products, the level of platform PDE, the cost of PDE and the cost coefficient of PDE, and the cost of farmers' PTA and the yield of agricultural products under PDE.

The authors in the model building section carried out the description of the relevant variables, including agricultural production x, farmers' planting technology application (PTA) levels, PTA costs, cost coefficients, and total agricultural production in the absence of PDE; and platform PDE levels, PDE costs, and cost coefficients in the presence of PDE, as well as farmers' PTA costs and agricultural production in the presence of PDE.

Whispering (52): Intensive reading of journal articles - model building and model analysis

2.模型建立(model building)

This article constructs a model for two financing scenarios. The first is for farmers to take loans from banks, and the second is for farmers to take loans from platforms. The original model is as follows:

The article constructs models for two financing scenarios. The first is when farmers take loans from banks; the second is when farmers take loans from platforms. The original model is shown below:

Whispering (52): Intensive reading of journal articles - model building and model analysis
Whispering (52): Intensive reading of journal articles - model building and model analysis
Whispering (52): Intensive reading of journal articles - model building and model analysis

3.具体参数设定(Specific parameter setting)

Whispering (52): Intensive reading of journal articles - model building and model analysis
Whispering (52): Intensive reading of journal articles - model building and model analysis

3.2 模型分析(model analysis)

This part mainly discusses the absence of PDE and the presence of PDE.

The section is discussed in terms of two scenarios: without PDE and with PDE.

In the absence of PDE, the authors divide the discussion into two scenarios: migrant workers taking loans from banks and loans from platforms.

Without PDE, the authors discuss it in two scenarios: migrant workers taking loans from banks and taking loans from platforms.

1. Farmers take loans from banks (BN model), the specific calculation of which is as follows:

1. Farmers take loans from banks (BN model), which is calculated as follows:

Whispering (52): Intensive reading of journal articles - model building and model analysis
Whispering (52): Intensive reading of journal articles - model building and model analysis
Whispering (52): Intensive reading of journal articles - model building and model analysis

4 知识补充(Knowledge supplement)

PTA是什么?(What is PTA?)

PTA (Planting Technology Application) is an agricultural technology application that aims to improve the production efficiency and quality of planting industry by using modern scientific and technological means. It encompasses a wide range of technologies and tools, including smart agriculture equipment such as sensors, automated equipment, and robots for monitoring soil, crop growth, and automating planting and management. At the same time, data analysis and decision support technologies, such as big data and artificial intelligence, are used to collect, analyze and predict agricultural production data to provide farmers with planting decision support. Through precision agriculture technology, such as GPS positioning and remote sensing technology, the scope of farmland, soil characteristics and crop growth conditions can be accurately located, and the refined management of agricultural production can be realized. Biotechnology applications include gene editing and biologics to breed new varieties that are resistant to pests and diseases, adapt to environmental changes, and improve crop yields and quality. Finally, an information service platform should be established to provide farmers with planting guidance, market information and technical support. These comprehensive measures have contributed to the modernization and sustainable development of agricultural production.

PTA (Planting Technology Application) is an agricultural technology application that aims to improve the efficiency and quality of plantation production using modern technology. It covers a wide range of technologies and tools, including smart agricultural equipment such as sensors, automation equipment and robots for monitoring soil, crop growth, and automated planting and management. Meanwhile, data analysis and decision support technologies, such as big data and artificial intelligence, are used to collect, analyze, and predict agricultural production data to provide farmers with planting decision support. Precision agriculture technologies, such as GPS positioning and remote sensing, are used to accurately locate the extent of farmland, soil characteristics, and crop growth conditions, and to realize refined management of agricultural production. Biotechnology applications, including gene editing and biopreparation technologies, are used to cultivate new varieties that are resistant to pests and diseases and adapt to environmental changes, and to improve crop yields and quality. Finally, an information technology service platform has been established to provide farmers with planting guidance, market information and technical support. These comprehensive measures promote the modernization and sustainable development of agricultural production.

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Bibliography:

Qihui Lu, Changhua Liao, Meilan Chen, et al. Platform financing or bank financing in agricultural supply chains: The impact of platform digital empowerment[J]. European Journal of Operational Research, 2024, 315(1): 952-964.

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