The rise in the popularity of solar power energy comes with the expansion of the technologies associated with it. After all, once people realized that the sun can be used to generate electricity, they would understandably find ways on how to do it. And so far, there are two technologies that are used nowadays to generate solar power. These are Concentrated Solar Power (CSP) and Photovoltaic (PV). But what is the difference between these two?

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Within this economically managed part of the energy sector, renewable energy sources currently provide about 25% of the energy supplied. A large part of this renewable energy is in the form of biomass energy, either in food crops or in managed forestry providing wood for industrial purposes or for incineration1. There are two ways to harness solar energy. Passive systems are structures whose design, placement, or materials optimize the use of heat or light directly from the sun.

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A global multi-regional input−output database (EXIOBASE) with a focus on environmentally relevant activities, allowing insights into the production-related impacts and consumption footprints1. 1. Introduction 1.1. Developments in Multi-Regional Input-Output Analysis (MRIO) Harmonization Compared to other databases, EXIOBASE has a clear environmental and resource focus with high levels of detail in primary production. Harmonizing and detailing supply and use tables (SUT): Gathering SUT from the relevant statistical offices. In the specific case of EXIOBASE, data is gathered from the EU27 via Eurostat, and other SUT and IO tables from 16 other countries.

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why we need more transparent supply chains? A growing share of countries’ environmental and social impacts occurs abroad; Businesses and shareholders need to identify and evaluate the potential environmental impacts and biodiversity loss of their foreign producers; Individual consumers increasingly ask for the locations and magnitude of the impacts associated with their choices; Contributing to an accountability framework that would trigger higher environmental standards in the specific industry of producing countries.

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ŽigaMalekaPeter H.Verburgab Department of Environmental Geography, Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, De Boelelaan 1087, 1081 HV Amsterdam, The Netherlands Available online 23 September 2020. How such local-scale patterns of decision-making can be used to explain land-use change globally is unknown. Using a collection of local studies from a literature review, we studied the contextual conditions of different modes of land-use change decision-making and present global maps of the potential distribution of decision-making in land-use change.

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v3.8 was released in November 2020, provided with a full re-estimate of the time-series (to 2021) that heavily relies on “now-casting” economic structure (and environmental extensions). The time-series extends into the future (2021), but this is based on the now-casting procedure and projections of GDP and aggregate trade of the IMF. Main updates Macroeconomic and trade data for recent years Updated to 2018 macroeconomic data from UN, and GDP & gross import/export projections until 2022 from IMF.

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Identifying production hotspots for global crop and livestock consumption by a Spatially Explicit Multi-Reginal Input-Output model ( Zhongxiao’s work on Global Food Security). Keywords: primary crops; animal husbandry; spatially explicit; Multi-Regional Input-Output(MRIO) analysis. Research background Food security is challenged by increasing global food demand driven by population growth and animal-based diets. More crop production requires increasing areas of land and fresh water, causing associated environmental impacts1. Also livestock should be a focus as their feed contains harmful ingredients2 which will released to our environment finally.

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