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agriculture

Dermersal bottom trawl
Consumer-ismFinanceGlobalisation

The True Cost: Tax Money x Sustainable Development: The Fishing Industry

Over 100 million people rely on inshore subsistence and small-scale artisanal fishing for their daily food and livelihood. But it’s not them that we’ll talk about in this post – because they are the unfortunate ones at the end of the short stick in the global game of industrial subsides. In this post we talk about the industrial fishing industry, the subsidies that go into it, the really sticky WTO negotiations to make away with them. It's not all doom and gloom. There is hope - just that it comes from elsewhere than governments.
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Peloton Bike Race
Biz StrategyConsumer-ismGlobalisation

Agri Food Industry & Carbon Trajectory: Returns over resilience?

Carbon – together with biodiversity – is one of THE most critical dimensions among the Planetary Boundaries. Because the already existing overshoot is putting our civilisation at risk. So far nothing new under the sun. The food and agri sector is - possibly together with the energy sector - one of the most important industries in this regard. Not only does it impact our living environment significantly - by how our food is grown - but also they play a key role to feed our global population. The big elephant in the room is of course: How well or badly do agri food companies perform right now in terms of their carbon footprint? And: Do they have at the least commitments to work on a Paris Agreement trajectory? I look into these questions. Spoiler Alert: There is not much to cheer about. Not at all.
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Oversimplification
Biz StrategyFuture TechGovernanceOpinions

Keep it Simple Stupid (kiss): Yet – how simple is too simple?

The KISS Principle is a design principle that stems from the 1960. It originated in engineering and its view point is that most systems work best if they are kept simple rather than made complicated; therefore, simplicity should be a key goal in design, and unnecessary complexity should be avoided. But what about complex systems such as nature? How simple can we go before oversimplification results in incomplete, or biased data? Before absence of consideration of relevant factors inherently lead to regrettable substitutions? And before we willingly accept that there will be collateral damages to a decision, without knowing (or wanting to know) of what nature and in what order of magnitude these may be? One example that illustrates where this challenge may rear what is its ugly head: upcoming Swiss political referenda on agricultural practices.
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