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Enterprise environment damage potential evaluation method based on multi-source geographic big data

A technology of environmental damage and big data, applied in the field of evaluation, can solve problems such as high cost, limited development of environmental pollution liability insurance, complex technical process, etc.

Pending Publication Date: 2020-11-10
厦门青霭信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the development prospect of environmental pollution liability insurance is good, it is not difficult to find that the implementation of environmental pollution liability insurance is still very limited. There is still a lot of room for improvement in specific implementation regulations and related supporting measures. So far, no compulsory liability insurance model has been formed.
[0003] At present, the main reasons for the limited development of my country's environmental pollution liability insurance include: (1) Environmental pollution liability insurance has not yet been able to truly play a role in risk resistance and help enterprises develop
The environmental pollution liability insurance that has been piloted is basically the same in terms of premium and insured amount. When an environmental pollution accident occurs to an enterprise, the premium that the environmental pollution liability insurance can provide is often not enough to cover the environmental pollution liability of the enterprise; In addition, environmental pollution risk, as a risk with a low probability, has not occurred for a long time. For enterprises that pursue profit maximization, the demand for insurance purchases will continue to decrease, which will affect the development of insurance.
(2) At present, a method for evaluating the potential of corporate environmental damage that is suitable for the current characteristics of low premiums in environmental pollution liability insurance has not yet been developed
The current domestic standards and methods for enterprise environmental pollution risk assessment either require complex technical processes, a large amount of resource investment, or have not been verified by mature cases, especially in the data required for model analysis. high cost, which is not conducive to the promotion of environmental pollution liability insurance

Method used

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  • Enterprise environment damage potential evaluation method based on multi-source geographic big data
  • Enterprise environment damage potential evaluation method based on multi-source geographic big data
  • Enterprise environment damage potential evaluation method based on multi-source geographic big data

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Embodiment Construction

[0021] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0022] The invention discloses an enterprise environmental damage potential assessment method based on multi-source geographic big data, which fully integrates the annual groundwater and soil release amount & human toxicity potential analysis of enterprises in various industries in the United States, and international factory soil and groundwater pollution. The pollution potential classification / screening measurement model in the potential assessment and investigation plan, the international reinsurer and environmental damage liability insurance risk assessment practice, and the mature practice of promoting environmental pollution liability insurance in Taiwan, and fully considering the actual situation in our country , established an enterprise environmental damage potential evaluation system linking the three main elements of polluti...

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Abstract

The invention discloses an enterprise environmental damage potential evaluation method based on multi-source geographic big data. The method comprises the following steps: 1, constructing an evaluation project and a risk factor thereof; 2, setting a measurement standard of each risk factor; 3, mining environmental risk factor data of an enterprise; 4, carrying out risk quantification of enterpriseenvironment risk factors; 5, calculating a total risk score T corresponding to different environmental damage responsibility ranges of the enterprise, and determining a corresponding risk level; and6, compiling an enterprise environmental damage potential risk assessment report. A technical method is purely adopted, enterprise environmental pollution potential related risk factor data is acquired based on multi-source geographic big data, environmental damage potential risk assessment is realized, and risk levels of different environmental damage responsibility insurance ranges are determined; quantitative reference can be provided for differentiated environmental pollution responsibility insurance, rapid and large-scale development of the environmental pollution responsibility insuranceis promoted, and establishment of a green financial basis in China is promoted.

Description

technical field [0001] The present invention relates to an evaluation method, in particular to an evaluation method for enterprise environmental damage potential based on multi-source geographic big data. Background technique [0002] With the continuous development of the economy, environmental protection is particularly important. As a new type of financial tool, environmental pollution liability insurance can balance the contradiction between enterprise development and response to possible environmental pollution liability risks, and has been continuously strengthened by legislation and pilot practice. Although the development prospect of environmental pollution liability insurance is good, it is not difficult to find that the implementation of environmental pollution liability insurance is still very limited. There is still a lot of room for improvement in specific implementation regulations and related supporting measures. So far, no compulsory liability insurance model ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q40/08G06Q50/26
CPCG06Q10/0635G06Q40/08G06Q50/26
Inventor 杨海坤江沉林集民
Owner 厦门青霭信息科技有限公司
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