Wohlstand neu denken und messen
Dirksen Jakob and
Lima de Miranda Katharina
Wirtschaftsdienst, 2023, vol. 103, issue 7, 454-459
Abstract:
Addressing the major challenges Germany and the world face today – from mitigating climate change to the shortage of skilled labor – will require concerted, transformative political effort that builds on collective values and pursues societal goals. Economic growth should be achieved in a sustainable and inclusive manner and not at the expense of social cohesion or future generations. To do this, we need to rethink prosperity and find new ways to measure it. Productivity growth and material gains, measured in terms of gross domestic product (GDP), are important, but insufficient as central targets and yardsticks for social progress. The things that we actually value should be measured. This includes not only economic well-being and income distribution, but also other dimensions of well-being, such as social participation, societal cohesion, personal empowerment and opportunity, as well as environmental sustainability. In this article, we discuss Germany’s strategy for measuring and improving multidimensional, sustainable prosperity, and propose ways to rethink and design new measures of economic and social prosperity that encompass not only material prosperity and economic output, but also the social and environmental dimensions of prosperity.
JEL-codes: A13 D63 E21 I30 O15 O44 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2478/wd-2023-0133 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:wirtsc:v:103:y:2023:i:7:p:454-459:n:11
DOI: 10.2478/wd-2023-0133
Access Statistics for this article
Wirtschaftsdienst is currently edited by Nicole Waidlein
More articles in Wirtschaftsdienst from Sciendo
Bibliographic data for series maintained by Peter Golla ().