Climate

The climate module can be used to calculate how much CO2e is emitted as a result of a given local economic activity. It can be, for example, as a result of the consumption of tourists or citizens in a particular municipality or region. This includes both CO2E emissions from Danish production as well as from the production of imported goods and services, which makes it possible to calculate CO2E emissions along the entire value chain.

The climate module acts as a module for SAM-K/LINE by linking physical climate data with the SAM-K/LINE regional economic model. It was developed as part of a project for VisitDenmark to quantify the climate footprint of tourism for the destinations and the whole country. Although the module was originally developed with a focus on tourism, it can also be used for other economic activity. For example, CRT has made calculations of citizens' consumption-based CO2E emissions for the City of Copenhagen.

The climate module is relevant if one wants to estimate how much CO2e is emitted as a result of local economic activity. It can be as a result of an existing economic activity or by a change in economic activity. All data used are consistent with published official statistics (for example at Statistics Denmark), which means that the calculations via the climate module can be compared with published statistics and calculations.

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The climate module is a unique tool

There are several reasons why the climate module coupled with SAM-K/LINE is unique, both in Danish and international contexts:

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• sThe combination of physical climate data with a detailed regional economic model enables CO2E emissions from local economic activity to be calculated.
• The degree of detail is high, so that the effect can be evaluated for a detailed economic activity,
• The climate module covers the entire economy and all municipalities in the country.
• All data used are consistent with official published statistics, ensuring comparability and strengthening the validity and usefulness of the module.
• SAM-K/LINE as a model has been recognized in 2019 by an international Scientific Evaluation Board consisting of professors in economic models, etc.

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• SAM-K/LINE is the regional counterpart to ADAM and is a tool for regional economic analysis and forecasting
• The model covers the 5 regions, 19 destinations and 98 municipalities with a projection horizon until 2040
• The model draws on numerous national records

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• The climate module has been presented at UN conferences and OECD workshops in connection with the calculations of the climate footprint of tourism, as inspiration for other countries
• SAM-K/LINE is recognized in 2019 by an international Scientific Evaluation Board. The board concluded that the model is “state-of-the-art”
• The climate module and SAM-K/LINE are operated and maintained by the Centre for Regional and Tourism Research

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• Ability to calculate how much CO2e is emitted as a result of a local economic activity.
• Includes both CO2E emissions from Danish production and from the production of the goods and services imported.

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• Opportunity to see how much of CO2E emissions occur within Danish territory and which is therefore part of Denmark's international climate commitments.
• Used by VisitDenmark to quantify the climate impact of tourism in Denmark at destination level and for the whole country.

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The module uses climate-related data, which is combined with the micro and macro data used in SAM-K/LINE.

For example:

Climate:

• Emissions of greenhouse gases from Danish activity: Emissions accounting from Statistics Denmark showing greenhouse gas emissions from Danish economic activity. The accounts are broken down by industries, emission types and energy products
• Greenhouse gas emissions from imports: Emissions of greenhouse gases associated with the production of goods and services imported into Denmark. Data is from EXIOBASE, which is processed and provided by Statistics Denmark
• DCE Emissions Inventory: Used to include emissions from carbon depot changes in cropland and grassland and to determine the proportion of emissions that are part of Denmark's international climate commitments

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Microdata:

• Population: The BEF register is used, among other things, to load data into the model version on the population's municipality of residence, gender, age and more.

• Education: The registry UDDA is used to add detailed information about education level.

• Employment: The RAS, AMR and BFL registers are used to provide a detailed overview of employment by municipality of residence and place of work for both employed and self-employed persons.

• Income and consumption: Register-based income data from the IND register is used. This is combined with calculated consumption shares from the Consumption Survey to estimate household consumption expenditure at the municipal level.

Macro data:

• National accounts data: The so-called Access and Use tables (TA) are used, which are the most detailed national accounts data and are essential for understanding the economic context in the Danish economy. In addition, the Municipal Regional National Accounts (KRNR) data from Statistics Denmark are used, which is crucial in order to be able to distribute the National Accounts to the municipalities.
• ADAM projection: As TA data are not published until the final national accounts, which are approximately 2.5 years after the end of the reference year, TA data must be projected. Among other things, ADAM projection data are used here.

The model version is constantly updated and expanded.

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