Cost of living Quote by Geoffrey West
““Almost all official statistics and policy documents on wages, income, gross domestic product (GDP), crime, unemployment rates, innovation rates, cost of living indices, morbidity and mortality rates, and poverty rates are compiled by governmental agencies and international bodies worldwide in terms of both total aggregate and per capita metrics. Furthermore, well-known composite indices of urban performance and the quality of life, such as those assembled by the World Economic Forum and magazines like Fortune, Forbes, and The Economist, primarily rely on naive linear combinations of such measures.6 Because we have quantitative scaling curves for many of these urban characteristics and a theoretical framework for their underlying dynamics we can do much better in devising a scientific basis for assessing performance and ranking cities. The ubiquitous use of per capita indicators for ranking and comparing cities is particularly egregious because it implicitly assumes that the baseline, or null hypothesis, for any urban characteristic is that it scales linearly with population size. In other words, it presumes that an idealized city is just the linear sum of the activities of all of its citizens, thereby ignoring its most essential feature and the very point of its existence, namely, that it is a collective emergent agglomeration resulting from nonlinear social and organizational interactions. Cities are quintessentially complex adaptive systems and, as such, are significantly more than just the simple linear sum of their individual components and constituents, whether buildings, roads, people, or money. This is expressed by the superlinear scaling laws whose exponents are 1.15 rather than 1.00. This approximately 15 percent increase in all socioeconomic activity with every doubling of the population size happens almost independently of administrators, politicians, planners, history, geographical location, and culture.””
About This Quote
Source Book: Scale: The Universal Laws of Growth, Power, and Prosperity by Geoffrey West, 2017
Cities grow faster than linear expectations because social interactions intensify with population, leading to superlinear scaling of economic and social outputs.
In simple terms: Cities become more productive as they get bigger due to network effects.
Recognize and leverage non‑linear dynamics in urban planning.
Themes
Mood
Type
When to use this quote
- city planning
- economic development
- infrastructure investment
- public policy
- research analysis
Key Concepts
Questions to Reflect On
- How can planners account for non‑linear benefits while mitigating inequality?
- What policies best capture emergent advantages of larger cities?
Assumes uniform scaling across diverse contexts, which may overlook local variations and inequalities.