Durable Economies

This is not a hypothesis-testing study. The volume is a collection of theoretical and qualitative essays that examine how durability is produced, valued, and contested across different sectors. The "intervention" is a conceptual shift: treating durability not as a fixed property of objects but as an ongoing social, economic, and material achievement. The "comparators" are implicit—contrasting current economic models that prioritize planned obsolescence, disposability, and rapid turnover with alternative models that prioritize longevity, repairability, and stewardship. There are no formal outcome measures; instead, the book explores themes like:

How water infrastructure leaks are managed (or not)

How heritage tourism values old buildings

How art investments depend on perceived durability

How failing electronics create waste streams

The "outcome" is a proposed research agenda for sustainable economies, not a quantified result.

No human subjects were studied. The "sample" consists of case studies and theoretical analyses drawn from:

Economic sociology

Science and technology studies (STS)

Environmental economics

Cultural heritage studies

Infrastructure studies

The "setting" is conceptual: contemporary capitalist economies, with examples from Europe, North America, and global supply chains. There is no sample size, no population demographics, and no controlled conditions.

No instruments or scales were used. The book relies on qualitative methods:

Ethnographic observation (e.g., of water utility workers, art conservators)

Historical analysis (e.g., of building codes, warranty laws)

Theoretical argument (e.g., from Karl Marx, Bruno Latour, and ecological economics)

There are no numeric metrics like PSQI scores or effect sizes. The "measurement" is conceptual: tracing how durability is defined, maintained, and valued in different contexts.

**Study design:** This is an edited academic volume (a collection of chapters by different authors) that uses a mix of qualitative case studies, theoretical essays, and critical reviews. It is not a systematic review, meta-analysis, randomized controlled trial, or observational study. There is no hypothesis testing, no control group, no blinding, no randomization, and no statistical analysis.

**What the design can and cannot prove:**

**Can do:** Provide rich, contextual understanding of how durability works in practice. Generate new concepts (e.g., "durability work," "valuation of longevity"). Challenge assumptions in mainstream economics. Offer normative arguments for policy change.

**Cannot do:** Establish causal relationships (e.g., "if you extend product warranties, then waste decreases by X%"). Provide generalizable numeric estimates (e.g., "the average lifespan of a smartphone is 3.2 years"). Test interventions in a controlled way. Rule out alternative explanations.

**Major methodological weaknesses:**

No systematic search strategy (not a systematic review)

No quantitative synthesis (no meta-analysis)

Selection bias in case studies (authors likely chose examples that support their arguments)

No formal quality assessment of sources

No preregistration or transparency about how conclusions were reached

The volume is explicitly normative (argues for sustainability and justice), which may color interpretation of evidence

Since this is not an empirical study, there are no numeric results. Instead, the key conceptual findings are:

**Durability is not a natural property of things** but is actively produced through maintenance, repair, regulation, and cultural valuation. For example, a building's durability depends on building codes, insurance, and daily cleaning—not just its materials.

**Current economies systematically undermine durability** through planned obsolescence, cheap materials, and business models that prioritize sales volume over longevity. The book cites evidence that electronic waste is the fastest-growing waste stream globally, with only ~20% formally recycled.

**Valuing durability requires new economic metrics** beyond GDP. The authors argue that "wealth" should include the stock of durable goods (infrastructure, buildings, machinery) and their condition, not just the flow of new production.

**There are tensions between durability and other goals:** For example, heritage tourism preserves old buildings but can displace local communities. Art investments treat durability as a financial asset, which can inflate prices and exclude public access.

**Alternative economies are possible** based on repair cafes, right-to-repair laws, modular design, and public investment in maintenance. The book points to examples like the European Union's "right to repair" legislation (2021) and Japan's "mottainai" (waste-not) cultural tradition.

**Durability is political:** Who decides what should last, who pays for maintenance, and who benefits from longevity? The authors argue that current systems often externalize maintenance costs onto workers, communities, and the environment.

There are no effect sizes to report. The book does not provide numeric estimates of, say, "how much longer a product lasts if you repair it" or "how much waste is reduced by durability-focused policies." Instead, the "effect" is conceptual: a shift in how economists and policymakers think about the economy. The authors argue that ignoring durability leads to:

Underinvestment in maintenance (e.g., US infrastructure gets a "D" grade from the American Society of Civil Engineers)

Overproduction of waste (e.g., 50 million tons of e-waste generated globally in 2019)

Loss of cultural heritage (e.g., 1 in 5 historic buildings in the UK is at risk of decay)

But these are illustrative examples, not causal estimates from the book itself.

**What the authors acknowledge:**

The volume is exploratory and agenda-setting, not definitive.

The case studies are selective and may not represent all economies or sectors.

The normative stance (advocating for sustainability and justice) may limit appeal to mainstream economists.

The concept of "durability" is broad and may be difficult to operationalize for policy.

**What a critical reader would note:**

**No empirical testing:** The book makes strong claims (e.g., "current economies undermine durability") but provides no controlled evidence. It's possible that markets already optimize for durability in some sectors (e.g., commercial aircraft, medical devices).

**Selection bias:** The authors are all from critical social science backgrounds (STS, economic sociology, environmental humanities). No economists from mainstream neoclassical or behavioral economics are included, which may skew the analysis.

**Lack of quantitative data:** While the book mentions statistics (e.g., e-waste tonnage), it does not systematically review the literature. A reader cannot assess whether the claims are supported by the best available evidence.

**No policy evaluation:** The book advocates for right-to-repair laws and public investment in maintenance but does not evaluate the effectiveness of existing policies. For example, the EU's right-to-repair law only took effect in 2021, and its impact is not yet clear.

**Publication bias:** As an edited volume, the chapters likely reflect the authors' prior commitments. There is no "negative result" chapter arguing that durability is overrated or that planned obsolescence is efficient.

**No practical guidance for individuals:** The book focuses on systemic change (policy, culture, infrastructure) rather than individual behavior. It does not tell a person how to run their own experiment on durability.

For someone running their own n=1 experiment on durability, the book's framework suggests you can test how your own consumption, repair, and maintenance habits affect the lifespan of your possessions, your waste output, and your satisfaction. However, because the book provides no numeric benchmarks, you will need to generate your own.

**What to test (specific intervention and dose):**

**Intervention:** Adopt a "repair-first" policy for electronics, clothing, and household items. For example, commit to repairing any broken item under $100 before replacing it, for a period of 6 months.

**Dose:** One repair attempt per broken item. If repair fails, document why (cost, lack of parts, skill gap). Compare to a baseline period where you replaced items immediately.

**Minimum meaningful duration:**

At least 6 months to capture multiple breakdown events (e.g., phone screen cracks, zipper breaks, appliance failure). One year is better to account for seasonal variation (e.g., winter heating failures, summer AC breakdowns).

**What to measure (specific metrics):**

**Primary outcome:** Number of items replaced vs. repaired (count per month). Track total cost of repairs vs. replacements.

**Secondary outcomes:**

- Time spent on repair vs. shopping for replacements (hours per month)

- Satisfaction with repaired item (1–10 scale, weekly)

- Waste generated (kg of discarded items per month)

- Emotional response (e.g., frustration, pride, sense of agency) via a daily 1-minute journal entry

**Contextual data:** Item type, age, purchase price, repair cost, repair method (DIY vs. professional), reason for failure (wear, accident, defect)

**Key confounds to control for:**

**Item age:** Older items may be more likely to fail, skewing results. Track item age at time of failure.

**Item quality:** Cheap items may be harder to repair. Note brand and original price.

**Skill level:** Your own repair skills may improve over time, making later repairs easier. Consider a "learning curve" adjustment (e.g., compare first 3 months vs. last 3 months).

**Seasonal effects:** Some failures are seasonal (e.g., winter heating). Run the experiment across all seasons.

**External factors:** Changes in income, availability of repair services, or product warranties could affect decisions. Document any major life changes.

**Social desirability bias:** You may feel pressure to report more repairs than actually happened. Use a simple checklist at the end of each week to verify.

**What a positive result would look like:**

A positive result would show that, over 6–12 months, you repaired at least 60% of broken items (vs. 0% in baseline), saved at least 30% on replacement costs (after accounting for repair costs), and reported satisfaction scores of 7/10 or higher for repaired items. You would also see a reduction in waste (e.g., from 5 kg/month to 2 kg/month) and a sense of increased competence or autonomy in your journal entries.

**Important caveat from the book:** Durability is not just an individual choice—it depends on systemic factors like availability of repair parts, local repair shops, and product design. If you find that repair is impossible or too expensive, that is a valid finding that supports the book's argument for policy change. Your n=1 experiment can generate data to advocate for right-to-repair laws or community repair events.

**Additional experiment ideas inspired by the book:**

**Test product longevity:** Buy two identical items (e.g., a cheap toaster vs. a mid-range one). Use one under normal conditions, the other with a "maintenance regimen" (cleaning, descaling, gentle use). Measure lifespan in months.

**Test the "heritage effect":** Visit a historic building or museum once a week for a month. Rate your sense of connection to the past, well-being, and willingness to pay for preservation (hypothetical). Compare to a month of visiting modern buildings.

**Test the "repair cafe" effect:** Attend a local repair cafe and have one item fixed. Measure your satisfaction, cost savings, and likelihood to repair again. Compare to a control item you attempted to fix alone.

**Bottom line:** This book is not a how-to guide for personal experiments. It is a call to rethink the economy. But you can use its framework to design your own experiments on durability, repair, and consumption—and contribute to the evidence base for a more sustainable world.