Prediction method for total regional economic amount and change thereof

A forecasting method and economic technology, applied in the field of economic forecasting, can solve problems such as the inability to form a generally applicable method for evaluating changes in economic factors, the lack of research on the impact of supply-level production capacity, and the underestimation of the economic impact of changes in economic factors.

Pending Publication Date: 2019-12-06
刘璐
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, the assessment of changes in economic factors only for individual cases cannot form a generally applicable method for the assessment of changes in economic factors
Second, most of the existing literature discusses the economic impact of changes in economic factors on the target economy itself, and the impact of changes in economic factors will affect the region of the associated economy or even a wider range of economies
At present, there is no mathematical model that can closely link the target economy and related economies in the overall economy at the theoretical level. If only the economic impact on the target economy is considered, the impact of changes in economic factors may be underestimated. ability
Third, most scholars are concerned about the impact of changes in economic factors on the consumption level, and there is a lack of research on the impact on the supply level, especially the production capacity.
The academic circle also lacks a research framework that can closely connect the production level and the consumption level to derive the overall impact of changes in economic factors on economic development and welfare levels, and a framework that only considers a single level will inevitably underestimate the economic impact of changes in economic factors

Method used

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  • Prediction method for total regional economic amount and change thereof
  • Prediction method for total regional economic amount and change thereof
  • Prediction method for total regional economic amount and change thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0171] As a preferred embodiment of the application, this embodiment discloses:

[0172] Evaluation of the Economic Impact of the "5.12" Wenchuan Earthquake in 2008.

[0173] Set the target economy as "disaster area" and the associated economy as "non-disaster area".

[0174] After constructing the above-mentioned cross-regional general equilibrium model to simulate the economic relationship between the disaster area and the non-disaster area (actually simulating the entire economy), how can we evaluate the economic impact of the disaster. In fact, we only need to apply a relatively static research method. Once we know the specific impact of the disaster (such as casualties, property losses, etc.), here mainly refers to the impact on the factor endowment of the disaster area, we can obtain a new equilibrium of the entire economy through the impact on production capacity. Then, the economic impact of the disaster can be obtained by comparing the old and new equilibria. Of co...

Embodiment 2

[0180] As another preferred embodiment of the present application, this embodiment discloses:

[0181] Evaluation of the economic impact of the "4.20" Ya'an Lushan County Earthquake in 2013.

[0182] Set the target economy as "disaster area" and the associated economy as "non-disaster area".

[0183] Before calibrating the parameters of earthquake disaster assessment, it is necessary to explain how to set the disaster area, non-disaster area and industry sector in the cross-regional model. In the Ya'an earthquake, most of the affected areas were in Ya'an City, so we set Ya'an City as the disaster area in the cross-regional model, while other areas of Sichuan Province were the non-disaster areas in the model. Since tourism is one of the pillar industries of Ya’an’s economy, we also choose tourism-related comprehensive industries in Ya’an City as industry 1 in the model, and tourism-related comprehensive industries in other regions of Sichuan Province as industry 3 in the model...

Embodiment 3

[0188] As another preferred embodiment of the present application, this embodiment discloses:

[0189] Evaluation of the economic impact of the "4.25" Nepal Earthquake in 2015.

[0190] In the Nepal earthquake, due to the small land area of ​​Nepal, the earthquake has a greater impact on the entire country. To simplify the calculation, the entire country of Nepal is taken as the disaster area, and other places in the world except Nepal are taken as non-disaster areas. disaster area. Similarly, take the tourism-related comprehensive industry in Nepal as industry 1 in the model, and the tourism-related comprehensive industry in other parts of the world as industry 3 in the model. Various industries are collectively referred to as Industry 2 in the model.

[0191] In the Nepal earthquake, at least 8,786 people died. In terms of capital losses, according to the "2015 Nepal Earthquake Post-Disaster Needs Assessment" (hereinafter referred to as the assessment) report, the total i...

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Abstract

The invention discloses a prediction method for a regional total economic amount and changes thereof, and relates to a method for analyzing economic scale changes of one or more economizers based on big data, and an artificial intelligence algorithm and system. According to the invention, a brand-new trans-regional general equilibrium model is constructed to simulate the economic relationship between the target economic body and the associated economic body. One economic body is divided into two parts, namely a target economic body and an associated economic body, so that the production and consumption activities in each region are considered, and the trade relationship between regions is also considered. When economic factors change, population, capital, special elements and the like of the target economic body change to different extents, so that the balance price and quantity of the whole economic body (including the target economic body area and the associated economic body area) change. Therefore, as long as the data of the economic factor change is known, the influence of the economic factor change on the target economic body and the whole economic body can be quickly and accurately estimated according to the algorithm system provided by the invention.

Description

technical field [0001] The present invention relates to the fields of economic forecasting and big data application, as well as the fields of artificial intelligence, machine learning, deep learning and smart city, and more specifically relates to a method of analyzing the economic scale and changes of one or more economies based on big data and deep learning Methods. Background technique [0002] At present, there are still many technical difficulties in the assessment and prediction of the economic scale of an economy in a complex system at home and abroad. Especially when the economy is facing exogenous shocks (such as technological progress, war, man-made or natural disasters, etc.), the resource stock of the economy will have positive or negative changes, which will bring great impact on economic evaluation and forecasting. Come very difficult. Especially from the perspective of smart cities, if the economic scale of the city itself and its changes cannot be accuratel...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0205
Inventor 刘璐
Owner 刘璐
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