Capita Income Increases Research Articles

Preferences for Redistribution: Two Decades of Gender Gaps and Generational Differences in Europe

Abstract We provide a concise overview of the literature concerning the factors influencing preferences for redistribution, with particular attention to works that have integrated considerations of gender and/or cohort heterogeneity into their analyses. We then present a series of stylized facts on preferences for redistribution based on data from the European Social Survey for a wide array of European countries over the period spanning from 2002 to 2022. We document that, since 2002, the average preferences for redistribution have increased. While the gender gap has remained substantially unchanged, the generational gap has widened over time. Distinguishing women and men by a set of individual characteristics, instead, there exists a not negligible heterogeneity both ‘between’ and ‘within’ women and men. At the country level, the overall gender gap in preferences for redistribution increases as the country’s per capita income or gender equality increase. Conversely, the gender gap decreases in more income, unequal, and religious countries. Finally, looking at the two exogenous shocks, that is, the 2008 financial and economic crisis and the Covid-19 pandemic, we observe that average individual attitudes towards redistribution react to both events but in a surprisingly opposite way, with a relevant heterogeneity across different sub-groups of women and men.

Dynamic Analysis of Environmental Degradation and Economic Activities in the Asia-Pacific Region

Economic growth is crucial for assessing a country's economic success, measured by its per capita income increase over time, primarily through Gross Domestic Product (GDP). This study investigates the impact of Gross Fixed Capital Formation (GFCF), energy consumption, CO2 emissions, and renewable energy on economic growth in the Asia-Pacific region from 2016 to 2021. Using the Difference Generalized Method of Moments (Difference GMM) and Stata 14, the findings show that GFCF positively influences economic growth in developing countries but not significantly in developed ones. Energy consumption positively affects economic growth in developing countries, but not in developed ones. CO2 emissions have no significant impact on economic growth. Renewable energy negatively affects economic growth in developing countries, while its impact is insignificant in developed ones.

Linking per capita income, renewable energy, natural resources, trade, and Urbanisation to material footprint: insights from Saudi Arabia

In view of growing greenhouse gases and climate change, this paper investigates the effect of per capita income, renewable energy, natural resources, trade, and urbanisation on the material footprint of Saudi Arabia. This study uses data from 1990 to 2019. Autoregressive Distributed Lag, Fully Modified Ordinary Least Squares, Dynamic Ordinary Least Squares, and Canonical Cointegrating Regression are used as estimation techniques. The result hints that per capita income, renewable energy, natural resources, trade, and urbanisation are determinants of material footprint in Saudi Arabia. Furthermore, the short- and long-run results show that per capita income, trade, and urbanisation increase material footprint, contributing significantly to Saudi Arabia's ecological damage. However, renewable energy and total natural resources rent reduce the material footprint in both periods. Other cointegration techniques also support the long-run estimates. The implications of the result for a sustainable environment were discussed.

Income, stress, and sex ratios over 1895-2010

ABSTRACT The medical literature has shown that populations under high stress have a lower sex ratio at birth (i.e. number of males for every 100 females). In this paper, I examine the relationship between income, as a source of economic stress, and the sex ratio at a subnational level for the 1895–2010 period. For this, I use census microdata from Argentina -a developing country that experienced rapid growth at the end of the 19th century and stagnated in recent decades- and I estimate from a two-way fixed effects model that exploits the wide temporal and geographic variability in income. The results show that as per capita income increases, the sex ratio at birth also increases. In particular, for every US$ 1,000 increase in per capita income, the sex ratio increases between 0.3 and 0.6 points. These findings make it possible to quantify the lost boys (i.e. those boys who were not born due to high economic stress on their parents) and constitute a call for attention in favor of the implementation of prenatal care policies -especially in periods of stagnation or income decline- to maintain a more balanced sex ratio.

Exploring The Impact Of Per Capita Income And Population Size On VAT Revenue In APEC Member Countries

This research aims to evaluate how per capita income and population size impact Value Added Tax (VAT) revenue, considering corruption control variables as moderating factors. VAT revenue is the dependent variable in this study, while per capita income and population size are the independent variables. The influence of corruption control variables is also explored as interacting with the independent variables in affecting VAT revenue. The data used is sourced from World Bank Data, covering the period from 2008 to 2020. The analytical method employed is panel data regression using the panel-corrected standard error (PCSE) model. The research results indicate that per capita income has a negative influence on VAT revenue, meaning that as a country's per capita income increases, VAT revenue tends to decrease. Meanwhile, population size has a positive impact on VAT revenue, indicating that as a country's population size grows, VAT revenue tends to increase. Furthermore, it is found that the influence of corruption control variables interacts with per capita income. This interaction strengthens its impact on VAT revenue. However, when corruption control variables interact with population size, their influence on VAT revenue becomes weaker.

The impact of geopolitical risk on CO2 emissions inequality: Evidence from 38 developed and developing economies

This paper analyses the impact of geopolitical risk on carbon dioxide (CO2) emissions inequality in the panel dataset of 38 developed and developing economies from 1990 to 2019. At this juncture, the empirical models control for the effects of globalisation, capital-labour ratio, and per capita income on CO2 emissions inequality. The panel cointegration tests show a significant long-run relationship among the related variables in the empirical models. The panel data regression estimations indicate that geopolitical risk, capital-labour ratio, and per capita income increase CO2 emissions inequality. However, globalisation negatively affects CO2 emissions inequality in the panel dataset of 38 developed and developing countries. The pairwise panel heterogeneous causality test results align with these benchmark results and indicate no reverse causality issue. Potential policy implications are also discussed.

How does geopolitical risk affect CO2 emissions? The role of natural resource rents

In a panel dataset of 38 developing and industrialized countries from 1970 to 2021, this study investigates how geopolitical risk and resource rents affect CO2 emissions. After implementing diagnostics, the paper observes significant relationships among CO2 emissions, geopolitical risk, natural resource rents, per capita income, and share of renewable energy in the long run. The panel data estimations show that geopolitical risk, natural resource rents, and per capita income increase CO2 emissions. However, the share of renewable energy is negatively associated with it. The mediation effect of geopolitical risk and natural resource rents on CO2 emissions is also positive. Potential policy repercussions are also discussed.

FINANCIAL INCLUSION FOR SELECTED OECD COUNTRIES

Purpose- Financial inclusion is defined as a process that ensures the ease of access, availability, and usage of the formal financial system for all members of an economy by emphasizing the use of accessibility and availability of financial services. A financial sector is measured and compared on four main features; debt is the size of financial institutions, access is the access and use of financial services by the users, efficiency is the efficiency in the provision of financial services, and stability is the stability in the provision of financial services. Financial inclusion, in short, is adults' access to and use of financial services. This study aims to measure the financial inclusion level for selected OECD countries from 2010-2021. Also, this study aims to estimate the effect of financial inclusion on economic growth and income inequality for selected countries. Methodology- The data used in this study cover a range of variables related to financial inclusion from various institutions, including the IMF-Financial Access Survey (IMF-FAS), the World Bank - World Development Indicators (WB-WDI), the World Bank - Global Financial Development Database (WB-GFDD) and the Standardized World Income Inequality Database (SWIID). These variables provide insights into the dimensions and determinants of financial inclusion and their impact on economic and social outcomes for selected OECD countries. In the study, we run panel data regressions for each group separately, using GDP per capita as the dependent variable to determine the impact of the Financial Inclusion Index on economic growth. We also construct two different models for each group of countries with and without the added control variables into the models. Findings- The analysis reveals that the effect of financial inclusion on economic growth is negative for all groups of countries. The impact is significant for Group 1 and Group 2. The magnitude of coefficients changes when we add control variables to the model. However, it does not change the significance level of the coefficients. The magnitude of the coefficients increases as countries’ per capita income increases. At the same time, the effect of financial inclusion on the GINI index is significant only in the model for Group 3 with control variables. The sign of the impact is negative. It implies that the GINI index decreases as the financial inclusion index increases. So, the effect of financial inclusion on income inequality is positive for countries in Group 3. Conclusion- The empirical results did not support the relationship between financial inclusion and economic growth (GDP per capita). These results may be explained by advocating the financial sector's quick and fundamental digital transformation. Hence, the rules for availability, accessibility, and usage of financial products and system are completely changed in the past ten years. On the other hand, the relationship between financial inclusion and income inequality, measured by GINI Index, is consistent with the literature only for Group 3 countries (developing countries). The increase in the gap between rich-developed and developing countries may explain these results. An increase in financial inclusion still supports adjustments in income inequality in developing countries, but its effect is disappeared in developed countries in the last 12 years. Keywords: Financial inclusion, economic growth, OECD countries, financial indicators, income inequity. JEL Codes: G20, G21, G23

Corruption, anti-corruption, and economic development

Corruption and anti-corruption efforts are intertwined with political and economic concerns. From an economic and political perspective, as the government strives to enhance its governance capabilities, it becomes crucial to consider the costs of anti-corruption supervision and the losses incurred from corruption. This evaluation is essential for formulating a scientifically sound anti-corruption strategy that maximizes government benefits. To address this issue, the paper presents a model that incorporates levels of supervision and associated costs. The findings reveal that in the case of homogeneous officials, the optimal level of supervisory input, which maximizes government benefit, is nearly zero when per capita income is low due to budgetary constraints on anti-corruption control. However, as per capita income reaches a certain threshold, the optimal level of supervisory input suddenly rises to its maximum and decreases as per capita income increases. Alternatively, if the government adopts a zero-tolerance approach towards corruption and provides adequate remuneration to its employees, ensuring that all competent authorities can resist corruption, then corruption can be eliminated. Moreover, when officials exhibit heterogeneity in terms of their honesty levels, certain conditions give rise to a middle per capita income range, resulting in an optimal level of supervisory input that leads to a phenomenon known as “partial corruption.” During this phase, the wages paid by the government to its employees promote honesty, preventing them from engaging in corruption. However, they are unable to curb the corrupt activities of more dishonest officials. To some extent, this model also explains the challenges associated with eradicating corruption in several middle-income countries.

Does energy efficiency mediate a green economic recovery? Evidence from China

A green economic recovery post-pandemic presents a unique opportunity to rebuild a more sustainable and resilient world while promoting economic growth in China. One key aspect of a green economic recovery is energy efficiency, which can significantly reduce energy consumption, lower costs, and create new jobs. This study focuses on the relationship between carbon emissions and energy efficiency in China. Using province-level CO2 emissions data from 1990 to 2022, the study finds that energy efficiency has both positive and negative asymmetric effects on CO2 emissions in the long run, while renewable energy has a positive effect and non-renewable energy has a negative effect. The study also confirms the Environmental Kuznets Curve hypothesis, indicating that as per capita income increases, investments in cleaner technologies should be encouraged to mitigate the adverse effects of CO2 emissions. The energy and environmental policy implications are also suggested as prioritizing policies that improve energy efficiency, promote renewable energy sources, and reduce non-renewable energy consumption to achieve sustainable development goals.

Trade Openness, Financial Openness and Income Inequality: Empirical Evidence for MIST Countries/ Ticari Açıklık, Finansal Açıklık ve Gelir Eşitsizliği İlişkisi: MIST Ülkeleri için Ampirik Bulgular

Since the 1980s, income inequality has increased significantly in developed and developing countries. The literature has also seen studies that attempt to explain this rising trend in income inequality. Some studies explaining the increase in income inequality in various ways have focused on economic globalization. Questions on how the steps taken towards liberalization in international trade and finance and increasing market integration affect income inequality have been at the center of the discussions in these studies. Uncertainty about the direction and extent of the link between globalization and inequality persists primarily because of the conflicting empirical findings in the literature. This study aims to contribute to the literature by conducting an empirical analysis of MIST countries with data covering 1987-2019. The study's findings, which used panel data analysis to assess the data, showed that while trade and financial openness reduce income inequality for MIST countries over the analyzed period, foreign direct investments do the opposite. The results also showed that the effect of financial openness on income inequality is greater than the effect of trade openness. It is also discovered that the rate of per capita income increase has no statistically significant impact on income inequality.

Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective.

With the adoption of the United Nations Sustainable Development Goals and the Paris Climate Agreement, ADB's involvement should not be ignored. The Global Environment Facility (GEF) and ADB have teamed up to provide climate change financing for developing countries. Included in this is climate protection finance, the financing method that offers cash to assist the region in achieving ecological responsibility. Using a systematic framework, the researchers in this study examined the rationale for building a cohort result of green management in China in the new phase of the country's development. As part of a multiplicative framework, the long-term correlation between variables is quantified using the dynamic common correlated effect (D-CCE) and interactive fixed effect. According to the findings, renewable energy and green financing are good environmental indicators. Environmental degradation is negatively affected by green governance. Some people are concerned about how to dispose of ICT, yet on the other side, ICT can help cut carbon emissions with new clean technologies. Moreover, the findings show that urbanization and per capita income increase carbon emissions. The results suggest that Chinese officials need to support reducing carbon emissions through the development of ICT infrastructure, green financing, and renewable energy.

The Income Elasticities of Food, Calories, and Nutrients in China: A Meta-Analysis.

Estimating food- and nutrient-income elasticities is important for making food and nutrition policies to combat malnutrition. There are many studies that have estimated the relationship between income growth and food/nutrient demand in China, but the results are highly heterogeneous. We conducted a meta-analysis in China to systematically review the elasticity of food, calories, and other nutrients to income. We considered a meta-sample using a collection of 64 primary studies covering 1537 food-income elasticities, 153 nutrient-income elasticities, and 147 calorie-income elasticity estimates. There are significant differences in the size of the income elasticities across food and nutrient groups. We found that food- and calorie-income elasticity appear to decline as per capita income increases, except for vitamin and aquatic products. We also found a publication bias for food and calories, and in particular, the study attributes may be important, as they can influence estimates. Given the limited study on nutrient-income elasticity, understanding the impact of income changes on nutrient intake is an important direction worthy of further research.

Effects of institutional quality and political risk on the renewable energy consumption in the OECD countries

Higher institutional quality and lower political risk are the essential drivers of rescuing the resource curse and achieving sustainable development since these variables can also affect energy demand via energy transitions. Given this background, this paper examines the effects of novel measures of institutional quality and political risk on renewable energy consumption in the panel dataset of 32 Organisation for Economic Co-operation and Development (OECD) member countries from 1997 to 2019. It is observed that a higher level of institutional quality and per capita income increase renewable energy consumption. In addition, economic globalisation and political risk are negatively associated with renewable energy consumption in the long run. Therefore, the policymakers in the OECD countries should consider the role of institutional effectiveness and political risks in renewable energy demand function to ensure a cleaner natural environment in the long run.

Drivers and barriers in the transition from a linear economy to a circular economy

A paradigm shift from a linear economy to a circular economy is crucial to reduce pressure on the environment and to improve the security of supply of primary raw materials. Under this new paradigm, governed by the imperatives of “reduce, reuse, and recycle”, the extraction of primary resources is minimised by extending the useful life of existing resources and materials. This paper seeks to identify the drivers and barriers of this circularisation and provide guidance for effective policies to hasten the transition to it. The innovative contribution made by this paper to this area of research is the empirical evidence it provides on the role played by economic, social, and environmental factors in the transition to a circular economy. To achieve this, yearly data from 2010 to 2019, for a panel of 19 European Union countries were analysed employing a Panel-Corrected Standard Errors estimator, which was shown to be an appropriate estimator for the data's characteristics. The circular material use rate was used as a proxy for the circular economy. The main findings suggest that the age distribution of a country is a significant predictor of a circular economy. Older people tend to be reluctant to change their behaviour, while young people are more inclined to move away from the so-called ‘take-make-waste’ extractive industrial model. Policies directed to older people to sensibilize them on the benefits and importance of a circular economy are thus required. When per capita income increases, the propensity to accept products containing recycled materials decreases. This finding merits the particular attention of policymakers. In turn, income inequality makes moving toward a circular economy more difficult. Those in the middle-income bracket are more likely to exhibit green behaviour, which implies that they are more aware of environmental issues.

Correlação da morbimortalidade de Neoplasias Malignas do Trato Gastrointestinal na população do Curimataú Paraibano Ocidental

The health indicators - morbidity and mortality - from cancer point to an exponential growth, configuring a public health problem that must be investigated. The objective was to identify and correlate the morbidity and mortality of Malignant Neoplasms of the Gastrointestinal Tract in a microregion of Curimatau, Paraíbano Ocidental. A documentary research was carried out with sampling of a microregion of Curimatau Paraíbano Ocidental, using DataSUS, with the research divided into three stages: collection of sociodemographic data, stratification of morbidity and mortality by NMTGI and analysis of the correlation coefficient according to Pearson. When observing the demographic censuses, it is clear that there was a population growth and as this occurs, the per capita income increases, while the percentage of people with low income decreases, equivalent to a negative correlation (-0.994). Regarding morbidity and mortality from NMTGI, the definitions of neoplasms show convergent evolutions, represented by positive correlations (≥0.80; p<0.01), on the other hand, when the morbidity and mortality of different cancers are correlated from the TGI, negative correlations are observed (≥-0.80; p>0.05), however both correlations show a shared variance of up to 83% between the NMs. Thus, it is speculated that there are predisposing factors such as risk, environmental, genetic or social factors that contribute to the emergence of MN, requiring in-depth research on these causal factors.

Effect of volatility of development aid on volatility of foreign direct investment inflows

PurposeThis paper aims to examine the effect of development aid volatility on foreign direct investment (FDI) volatility in aid recipient countries.Design/methodology/approachThe empirical analysis has relied on a sample of 117 countries over the period 1981–2016 and used the two-step system generalized methods of moments (GMM) approach.FindingsThe findings indicate that development aid volatility exerts a positive and significant effect on FDI volatility, with the magnitude of this positive effect rising as countries’ real per capita income increases. Furthermore, development aid volatility is non-linearly related to FDI volatility, as additional rises in the degree of development aid volatility further amplify FDI volatility.Research limitations/implicationsThese outcomes highlight that volatility of development aid inflows enhances the volatility of FDI inflows. Thus, the enhancement of the aid coordination system between donor-countries and recipient-countries would not only help mitigate the volatility of aid – which reduces the macroeconomic effectiveness of aid – but also stabilizes FDI inflows to developing countries.Practical implicationsA limitation of the present paper is its reliance on aggregate FDI inflows to perform the analysis. Availability of data on greenfield FDI inflows and cross-border mergers and acquisitions FDI inflows over a long-time-period would provide an opportunity to conduct an in-depth analysis of the volatility of development aid on FDI inflows volatility. Furthermore, it could be interesting to investigate in the future (if data is available) the extent to which aid coordination systems between donor-countries and recipient-countries versus recipient-countries’ domestic factors contribute to explaining the dynamics of FDI inflows volatility in recipient-countries of these two types of capital flows.Originality/valueTo the best of the authors’ knowledge, this topic has not been addressed in the literature.

Projecting meat and cereals demand for China based on a meta-analysis of income elasticities

There are many projections for China's food demand, and the projection results differ significantly from each other. Different values for income elasticities could be a major reason. This study projects meat and cereals demand for China based on a meta-analysis of the income elasticity estimates using a collection of 143 and 240 income elasticity estimates for cereals and meat products, respectively, from 36 primary studies. We find that income elasticities for most cereals (general cereals, rice, and coarse grains) and all meat products (general meat, pork, poultry, beef & mutton) tend to decline as per capita income increases, except for wheat, which increases. Taking this into account, differences between consumption projections based on time-varying income elasticities and values based on constant elasticities are substantial in quantities and increase over time.

Türkiye İle BRICS Ülkeleri Arasındaki Dış Ticaret İlişkileri: Girdi-Çıktı Yöntemi İle Bir Analiz

Anahtar Sozcukler: BRICS Ulkeleri, Girdi-Cikti Modeli, Girdi-Cikti Tablolari ve Analizi, Kilit Endustriler, Uluslararasi TicaretKeywords: BRICS Countries, Input-Output Models, Input-Output Tables and Analysis, Key Industries, International Trade1. GirisDis ticaret, ulkelerin ekonomik gelisimi acisindan onem arz etmektedir. Turkiye ekonomisi 1980'li yillardan itibaren, tum dunyada oldugu gibi dis ticaretteki liberallesme politikalari ile birlikte ihracata yonelik bir sanayilesme stratejisi izlemistir. Izlemis oldugu dis ticaret politikasina bagli olarak da hem ihracat hem de ithalatta onemli miktarlarda artis meydana gelmistir.Turkiye ekonomisi, cografi ve tarihsel yakinligi nedeniyle dis ticaretinin buyuk bir bolumunu Almanya, Ingiltere, Italya, Fransa gibi Avrupa Birligi ulkeleriyle gerceklestirmektedir. Avrupa Birligi ulkelerinden sonra basta Rusya, Cin, ABD olmak uzere diger gelismis ve gelismekte olan ulke ekonomileriyle de dis ticaret faaliyetlerini ilerletmeye calismaktadir. Dolayisiyla cesitli ulkelerle ticari isbirliklerini gelistirmeye yonelen Turkiye ekonomisi farkli piyasalarla ticari faaliyetleri arttirarak bolgesel guc olmaktan ziyade, dunya ekonomisi icerisinde diger gelismis ekonomiler ile rekabet eden bir ulke olmayi amaclamaktadir. Bu amaca bagli olarak da farkli ulkelerle ticari isbirlikleri gelistirerek ekonomik buyume ve refah duzeyini arttirmaya yonelik uygulamalar ortaya koymaktadir.Dis ticaret faaliyetleri acisindan BRICS ulkeleri (Brezilya, Rusya, Cin ve Hindistan) ile Turkiye arasindaki iliskileri degerlendirdigimizde, uye ulkeler icerisindeki Rusya ve Cin, diger uye ulkelere gore Turkiye'nin onemli ticaret ortaklari olarak karsimiza cikmaktadir. Cin, 2015 yili itibariyle %12 ile Turkiye'nin en fazla ithalat yaptigi birinci ulke olurken, Rusya ise %9.8 ile ucuncu ulke konumundadir (TUIK, 2016). Diger ulkelerin payi ise sinirli duzeyde olup, cografi uzaklik bu payin sinirli olmasinda onemli bir faktor olarak nitelendirilebilmektedir (Ersungur ve Ekinci, 2015: 721). Turkiye ekonomisi, Rusya ve Cin disinda diger uye ulkelerle isbirliklerini gelistirerek ve bu ulkelerdeki yatirimlarini arttirarak, dis ticaret acisindan daha etkin bir rol oynayabilecegi ve ayni zamanda hem Rusya hem de Cin'e yapmis oldugu ihracat hacmini arttirarak BRICS ulkeleri ile olan ticaret hadlerini kendi lehine cevirebilecegi soylenebilir.Bu calismanin amaci, BRICS ulkeleri ve Turkiye'nin Girdi-Cikti Akim tablolarini kullanarak yillara gore, bu ulkeler arasindaki endustriler arasi ara girdi alim-satimlarina bagli olarak dogrudan veya dolayli bir sekilde ortaya cikan etkileri ortaya koymak ve ithalata bagimliligi belirleyerek, bagimliligin meydana getirdigi degisimleri yillara gore incelemektir. Ayni zamanda, yapilan analiz sonucunda Turkiye ile BRICS ulkeleri arasinda ticaretin yapisina yonelik olarak oneriler sunulmasi amaclanmaktadir. Calisma hem Turkiye'nin hem de BRIC ulkelerinin kilit sektorleri ve ithalata bagimli olan sektorlerini belirlemek acisindan onem arz etmektedir. Bu, kilit sektorler belirlenerek aralarindaki ticaret iliskilerinin gelistirilmesi hususunda daha etkin politika onerileri soylenebilir. Calismada kullanilan veri seti World Input-Output Database (WIOD)'dan elde edilmistir. Turkiye ve BRIC ulkelerinin 1995, 2000, 2005, 2008 ve 2011 yillarina ait Girdi-Cikti tablolari kullanilarak analizler yapilmis, ulkelerin kilit endustrileri ve ithalata bagimli sektorleri belirlenmistir.Calismada oncelikle BRICS kavraminin nasil ortaya ciktigi, ticari iliskileri ve ekonomik buyume yapilari incelenerek, bu ulkelerle Turkiye arasindaki ekonomik ve ticari iliskiler ele alinmistir. Ayrica calismanin yontemi Girdi-Cikti analizine dair teorik bilgi verilerek, Turkiye ve BRIC ulkelerinin ekonomik yapisi analiz edilmistir. BRICS ulkelerine sonradan katilan Guney Afrika'nin incelenen doneme ait Girdi-Cikti verileri yeterli olmadigindan, bu ulke calismanin uygulama kismina dâhil edilmemistir. …

Mitigating climate change with a carbon tax on foods: What are the ethical implications?

The global production of food is responsible for approximately 30% of all greenhouse gas emissions, a significant portion of which can be attributed to red meat. As the global population and growth in per capita income increases, the demand for red meat will continue to rise putting further pressure on the planet. Numerous recent studies have explored the environmental and health impacts of different diets and have identified red meat (and beef in particular) as one of the key contributors to greenhouse gas emissions and adverse health outcomes. Shifting dietary patterns to reduce red meat intakes could help reduce greenhouse gas emission and improve health outcomes. In exploring strategies to mitigate such environmental and health impacts for current and future generations, a number of policy recommendations have been proposed. One popular proposal is carbon taxation of foods that capture the actual environmental cost of producing and consuming such foods. In Denmark, a carbon tax on red meat was recently proposed to help curb emissions and reduce population intakes. However, such recommendations are wrought with ethical dilemmas. Using an ethics framework for public health developed by Kass (2001), we critically analyzed the proposal of carbon taxation for its public health and environmental goals, potential burdens and minimization of burdens, fairness of distribution, and implications for individuals' autonomy. We determine that the distribution of burden resulting from such policies is inequitable and regressive, having negative tradeoffs for low‐income stakeholders and individuals from low‐income countries. We also determine that the potential burden and autonomy of future generations is not evenly distributed. Current policy proposals aimed at enhancing the sustainability of our diets often result in unethical tradeoffs. Policymakers and key stakeholders should consider the ethical dimensions of interventions and policies promoting sustainable diets, and should consider who bears the weight of such policy decisions before enacting them.Support or Funding InformationThis project does not have funding.