Can We Cut Carbon Without Leaving Workers Behind? Lessons From 79 Global Economies

The researchers combined Global Carbon Budget emissions data, distributed through Our World in Data, with World Bank inequality estimates covering 79 economies between 1995 and 2022. Their dataset contained 1,640 country-year observations, with gaps because household surveys were not conducted every year in every country.

A factory does more than produce pollution; it also provides regular jobs, supports local businesses and helps people without university degrees earn a better living. Research published in Economies, titled 'The Distributional Footprint of Carbon: Economic Development, Emissions, and Income Inequality Across 79 Economies (1995–2022),' examines how these economic patterns connect with income inequality, raising questions about protecting livelihoods as countries move towards cleaner production.

Researchers Sadagat Ahmadova, Jeyhun Mahmudov, Rahiba Abdulhasanova, Flora Alasgarova and Konul Buyuker found that higher carbon dioxide emissions per person were associated with lower inequality within countries after accounting for income levels. Their evidence points towards the organisation of energy-intensive production and employment, with no proof that pollution itself improves people's financial circumstances or that cutting emissions inevitably widens income gaps.

A Different Way to Look at Carbon and Inequality

The researchers combined Global Carbon Budget emissions data, distributed through Our World in Data, with World Bank inequality estimates covering 79 economies between 1995 and 2022. Their dataset contained 1,640 country-year observations, with gaps because household surveys were not conducted every year in every country. Inequality was measured using the Gini index, a scale from zero to 100 on which higher values indicate a more unequal distribution.

The analysis tracked changes within countries, accounting for national characteristics that remain relatively stable and shocks affecting countries in the same year. Additional models used five-year averages and tested whether annual changes in emissions helped predict inequality, or whether inequality helped predict emissions. These approaches allowed the researchers to examine different timescales without treating a simple comparison between rich and poor countries as an explanation.

The Link Was Stronger in Richer Economies

The main analysis found that when emissions per person doubled, the Gini index was about three points lower after accounting for income and other factors. This historical link does not mean that increasing pollution would reduce inequality. The relationship was roughly twice as strong in richer economies as in poorer ones.

One possible explanation is that factories, mines and energy companies provide relatively well-paid jobs for people without university degrees. These workplaces can help workers negotiate wages together and support businesses in nearby communities, potentially narrowing income gaps. The study did not directly test whether wages or trade unions explained the results, so this remains a possible explanation.

The findings remained similar when researchers removed certain regions or periods, including post-communist economies, Latin America and the pandemic years. The link also appeared in separate groups of EU and OECD countries and after accounting for emissions connected with international trade. Including factors such as education, government spending, institutions and the size of industry kept about three-quarters of the original relationship.

Other measures of inequality showed similar patterns, including comparisons between the incomes of the richest 10% and poorest 40%. The link was slightly stronger before taxes and government benefits were counted, suggesting that jobs and earnings may help explain it. The results did not show that economic growth automatically leads to smaller income gaps.

Energy Use Mattered More Than Carbon Content

The researchers found that carbon pollution itself did not clearly explain the link with lower income inequality. The amount of energy used in production mattered more than how much carbon the energy sources released. Emissions appeared to reflect the role of industries that use large amounts of energy and expensive machinery, rather than show that pollution directly reduces income gaps.

The results for different fuels were unexpected: coal had the weakest link with lower inequality, oil had the strongest, and gas fell between them. The link remained after researchers accounted for industry's share of jobs and economic output, suggesting that the size of the industrial sector alone could not fully explain the findings.

The relationship appeared in data grouped into five-year periods, but changes in emissions did not predict changes in inequality the following year, or the reverse. Long-term results were less certain, especially when researchers allowed the relationship to differ across countries. One analysis using a smaller sample also linked greater renewable-energy use with higher inequality, but this does not prove that renewable energy caused income gaps to widen.

Cleaner Growth Needs Attention to Livelihoods

The policy concern is that emissions standards and carbon pricing can reshape sectors supporting workers and communities that depend on established industrial jobs. The authors recommend considering retraining, regional support and returning carbon-pricing revenues to households as protection against possible disruption, with particular attention to fossil-fuel exporters whose public finances and employment opportunities depend heavily on these industries. Such measures are presented as precautionary safeguards under uncertainty, rather than policies proven necessary by a measured causal effect.

Inequality surveys differ across countries, some observations are missing, unmeasured economic changes could influence the results, and the proposed employment mechanisms remain untested. The historical period also does not capture policy-driven decarbonisation on the scale now contemplated. Future research needs to follow wages, employment, bargaining power and institutions more directly to establish which workers face disruption and how cleaner industries can provide secure, well-paid alternatives.