Kaya identity ============= * Article * Talk The **Kaya identity** is a mathematical identity "Identity (mathematics)") stating that the total emission level of the greenhouse gas carbon dioxide can be expressed as the product of four factors: human population , GDP per capita , energy intensity (per unit of GDP), and carbon intensity (emissions per unit of energy consumed).[\[1\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-kaya-1) [\[2\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-kaya_paper-2) It is a concrete form of the more general I = PAT equation[\[3\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-ipccEmissionScenarios-3) relating factors that determine the level of human impact on climate. Although the terms in the Kaya identity would in theory cancel out, it is useful in practice to calculate emissions in terms of more readily available data, namely population, GDP per capita, energy per unit GDP, and emissions per unit energy. It furthermore highlights the elements of the global economy on which one could act to reduce emissions, notably the energy intensity per unit GDP and the emissions per unit energy. [](https://en.wikipedia.org/wiki/File:Kaya-identity-co2.svg) Kaya Identity: drivers of CO2 emissions in the World. Percentage change in the four parameters of the Kaya Identity, which determine total CO2 emissions. F \= P × G P × E G × F E {\\displaystyle F=P\\times {\\frac {G}{P}}\\times {\\frac {E}{G}}\\times {\\frac {F}{E}}} !{\displaystyle F=P\times {\frac {G}{P}}\times {\frac {E}{G}}\times {\frac {F}{E}}} Contents -------- * 1 Overview * 2 Current Trend and Future Projections * 3 Use in IPCC reports * 4 Other uses * 5 See also * 6 References * 7 External links Overview -------- edit The Kaya identity was developed by Japanese energy economist Yoichi Kaya.[\[1\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-kaya-1) It is the subject of his book _Environment, Energy, and Economy: strategies for sustainability_ co-authored with Keiichi Yokobori as the output of the _Conference on Global Environment, Energy, and Economic Development (1993 : Tokyo, Japan)._ It is a variation of Paul R. Ehrlich & John Holdren 's I=PAT formula that describes the factors of environmental impact. Kaya identity is expressed in the form: F \= P ⋅ G P ⋅ E G ⋅ F E {\\displaystyle F=P\\cdot {\\frac {G}{P}}\\cdot {\\frac {E}{G}}\\cdot {\\frac {F}{E}}} Where: * _F_ is global CO2 emissions from human sources * _P_ is global population * _G_ is world GDP * _E_ is global energy consumption [\[4\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-4) And: * _G/P_ is the GDP per capita * _E/G_ is the energy intensity of the GDP * _F/E_ is the emission intensity of energy Current Trend and Future Projections ------------------------------------ edit _**1) P : Global Population**_ Global population growth has been a defining trend of the modern era, shaped by demographic shifts, economic development, and social transformations. According to the United Nations World Population Prospects 2024, the world population surpassed 8 billion in 2022, driven largely by high birth rates in developing regions and improvements in healthcare and living standards.[\[5\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-population-5) In the 20th century, the global population grew at an unprecedented rate due to declining mortality rates and medical advancements. However, in recent decades, the growth rate has slowed as fertility rates decline in many parts of the world. The United Nations projects that the global population will continue to rise, reaching 9 billion by 2040, population growth is expected to peak at around 10.3 billion in the mid-2080s, after which it will gradually decline to about 10.2 billion by 2100, and urbanization is accelerating, with over 70% of people expected to live in urban areas by 2050, leading to higher energy consumption, particularly in rapidly developing regions such as India, China, and Indonesia. Population growth patterns vary significantly across regions.[\[5\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-population-5) Sub-Saharan Africa is expected to account for more than half of global population growth through 2054, due to sustained high fertility rates and improvements in healthcare. Next, Asia, particularly India and China, will experience slower growth, with China already having peaked in population size in 2024 and expected to decline in the coming decades. Lastly, Europe and North America are facing population stagnation or decline, with aging populations and fertility rates below replacement levels . _**2) G/P : GDP PER CAPITA**_ Global GDP per capita has been on a consistent upward trajectory, reflecting economic expansion across both developed and developing nations. However, this growth has not been evenly distributed. High-income countries have experienced slowing per capita growth, while middle-income and developing nations continue to close the gap. According to projections, global GDP per capita is expected to reach approximately $24,499 by 2050, a substantial increase from $16,176 in 2019 .[\[6\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-gdp_per_capita-6) Despite this overall growth, significant disparities will persist across regions. High-income countries, which had an average GDP per capita of $48,913 in 2019, are projected to see this figure rise to $62,269 by 2050 . Meanwhile, lower middle-income countries are expected to experience a more substantial relative increase, with GDP per capita climbing from $7,012 in 2019 to $14,743 by 2050 .[\[6\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-gdp_per_capita-6) Emerging economies such as China and India are expected to play a crucial role in shaping future economic trends. China’s per capita GDP, which stood at $13,988 in 2019, is projected to grow to $32,266 by 2050, though at a moderated pace compared to previous decades . Similarly, India’s per capita GDP, while lower than China’s, is also projected to rise steadily, reaching approximately $15,431 by 2050 . At the lower end of the spectrum, low-income countries continue to face significant development challenges. Their GDP per capita is projected to increase from $1,940 in 2019 to $4,800 by 2050, reflecting strong percentage growth but still leaving them far behind wealthier nations . Africa, in particular, will see uneven economic progress, with GDP per capita projections ranging from $5,347 to $13,306 depending on economic conditions . Several factors will shape the trajectory of GDP per capita in the coming decades.[\[6\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-gdp_per_capita-6) Technological advancements, energy efficiency improvements, and infrastructure development are expected to support economic expansion while mitigating resource consumption . However, geopolitical uncertainties, demographic shifts, and climate change will introduce risks that could slow long-term growth . Advanced economies will likely face challenges related to aging populations and declining productivity, whereas younger populations in emerging markets may benefit from demographic dividends, driving higher growth in those regions . While global GDP per capita is projected to continue increasing, the pace of economic convergence between developing and developed nations will depend on policy decisions, investments in human capital, and the ability of governments to navigate structural economic challenges. Although the income gap between nations is expected to narrow, economic inequality will remain a central issue in global economic discussions throughout the 21st century. _**3) E/G : Energy intensity of the GDP**_ Energy intensity of GDP, defined as the amount of energy consumed per unit of economic output, serves as a key metric for evaluating energy efficiency and conservation. Over the past decades, global energy intensity has generally declined, reflecting improvements in energy efficiency, technological advancements, and structural shifts in economies. However, the rate of decline varies significantly across regions and industries . Currently, developed economies, such as Japan and European nations, exhibit lower energy intensity due to advanced energy-saving technologies, stringent policies, and a shift toward less energy-intensive industries. In contrast, developing economies, including China and India, still have relatively high energy intensity, mainly due to their industrial structures and reliance on energy-intensive sectors. When measured using market exchange rates (MER), the energy intensity of China is 6.2 times higher than that of Japan, while India's is 4.5 times higher. However, when adjusted for purchasing power parity (PPP), China's energy intensity reduces to 1.3 times that of Japan, and India's drops to 0.7 times Japan’s level, illustrating the impact of economic measurement methods on energy intensity comparisons .[\[7\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-Energy_intensity-7) Looking ahead, global energy intensity is projected to continue decreasing, driven by technological innovations, improved energy efficiency regulations, and shifts toward service-based economies. Developed economies are expected to maintain their downward trend due to advancements in energy-saving technologies and increased adoption of renewable energy sources. Meanwhile, developing nations will experience a gradual decline in energy intensity as they modernize industries and implement stricter energy policies .[\[7\]](https://en.wikipedia.org/wiki/Kaya_identity?utm_source=chatgpt.com#cite_note-Energy_intensity-7)