Economy-wide models such as computable general equilibrium (CGE) models are powerful tools that provide insights on policy impacts on standard economic indicators. With the recent publication of the System of Environmental-Economic Accounting (SEEA), the power of this approach is amplified. This article addresses an important gap in economy-wide policy modeling applications and literature by developing a conceptual framework for the integration of the SEEA in the CGE framework, enabling for the first time the analysis of policy impacts on the economy and the environment in a quantitative, comprehensive, and consistent framework. Previous integrated modeling efforts have generally focused on the interaction between the economy and one environmental resource in isolation, requiring significant data reconciliation. Integration of SEEA into a CGE circumvents this resource intense process, enhancing analytical power, obviating the need for strong assumptions in reconciling economic–environmental data, reducing start-up costs, and increasing the timeliness of evidence-based policy advice.

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This paper develops and operationalizes the Integrated Economic-Environmental Modelling (IEEM) platform which integrates environmental data organized under the first international standard for environmental-economic accounting with a powerful economy-wide modelling approach. IEEM enables the ex-ante economic analysis of public policies and investment on the economy and the environment in a quantitative, comprehensive and consistent framework. IEEM elucidates the two-way interrelationships between the economy and environment, considering how economic activities depend on the environment as a source of inputs and as a sink for its outputs. In addition to standard economic impact indicators such as gross domestic product, income and employment, IEEM generates indicators that describe policy impacts on the use of environmental resources, wealth and environmental quality which together determine prospects for future economic growth and well-being. To illustrate the analytical capacity of IEEM, the model is calibrated with Guatemala's environmental-economic accounts and applied to analysis of its forest and fuelwood sector where negative health and environmental impacts arise from inefficient household fuelwood use.

This paper develops and operationalizes the integrated economic-environmental modelling (IEEM) platform which integrates environmental data organized under the first international system of environmental economic accounting with a powerful dynamic economy-wide modelling approach. IEEM enables the ex-ante economic analysis of policies on the economy and the environment in a quantitative, comprehensive and consistent framework. IEEM elucidates the two-way interrelationships between the economy and environment, considering how economic activities depend on the environment as a source of inputs and as a sink for their outputs. In addition to standard economic impact indicators such as gross domestic product, income and employment, IEEM generates indicators that describe policy impacts on the use of environmental resources, wealth and environmental quality which together determine prospects for future economic growth and well-being. To illustrate the analytical capabilities of IEEM, the model is calibrated with Guatemala's

In 2014, the United Nations published the first International Standard for environmentaleconomic statistics, known as the System of Environmental-Economic Accounting (SEEA).. As more countries adopt and implement the SEEA, the availability of consistent environmental and economic information increases the need for analytical tools that can use this data to respond to policy relevant questions. In this paper, we present a workflow to develop an environmentallyextended social accounting matrix, which can serve as the basic database for the development of environmentally-extended computable general equilibrium models. To illustrate, and given its comprehensive implementation of the SEEA, we apply this workflow to the Guatemalan case and the Integrated Economic-Environmental Modeling (IEEM) Platform.

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Results: no Mycoplasmataceae species as "only" microorganisms were found in tubal flushings of tubo-peritoneal infertility patients, whereas three (10%) fertile patients with normal tubes were positive for mycoplasma presence. this difference was not significant (p = 0.237).Among the 30 patients suffering from tubal infertility diagnosed through laparoscopy, Mycoplasmatecae species were not detected in the fallopian tubes by Pcr determinations, while in normal tubes from fertile patients these and other microorganisms could be found without distorting tubal anatomy.Conclusion: Mycoplasmateceae species were not detected in fallopian tubes of women with tubo-peritoneal infertility.