Observed carbon decoupling of subnational production insufficient for net-zero goal by 2050.

Historically, economic growth has been closely coupled to carbon emissions responsible for climate change, but to stabilize global mean temperature, net-zero carbon emissions are necessary. Some economies have begun to reduce emissions while continuing to grow, but this decoupling is not fast enough to achieve global climate targets. Subnational climate actions seem to be crucial for the achievement of these targets. Here, we uncover the effectiveness of subnational efforts by estimating decoupling rates and CO2 emission intensities over the last three decades for over 1,500 subnational regions, encompassing 85% of global emissions, using global data on reported economic output and gridded production-based emissions. Thirty percent of regions with available data have fully decoupled, with higher-income and historically carbon-intensive regions exhibiting higher rates of decoupling and declining emission intensity. Countries of the Organization for Economic Co-operation and Development with greater spending on subnational climate actions show higher decoupling rates, as do subnational regions in EU countries where climate policies have been implemented, highlighting the effectiveness of subnational policies. Moreover, subnational analysis reveals greater variance of decoupling rates within national boundaries than between them and that countries with weaker governance typically show higher variance of decoupling within their borders. If recent rates of production-based carbon decoupling continue, less than half of subnational regions would reach net-zero before 2050, even when accounting for observed acceleration via socioeconomic development and assuming no interregional carbon leakage.

Expanding economic activity in space may offer a solution to secular stagnation.

In this speculative article, I argue that the expansion of economic activity in space may offer a uniquely promising way to escape indefinitely from what economists call "secular stagnation," a state of self-fulfilling, persistently sluggish economic growth that has increasingly threatened high-income countries. Economists have pointed to both supply-side and demand-side drivers of secular stagnation, and space as a focal point for investment can-at least in principle-address both. On the supply side, space is an unlimited frontier that, as have frontiers in the past, may inspire the individualism, innovation, and world-building needed to sustainably increase productivity and population growth. On the demand side, public investment toward increased economic activity in space could meaningfully add to aggregate demand if it reached historical peak benchmarks in the United States.

Explaining happiness trends in Europe.

In Europe, differences among countries in the overall change in happiness since the early 1980s have been due chiefly to the generosity of welfare state programs-increasing happiness going with increasing generosity and declining happiness with declining generosity. This is the principal conclusion from a time-series study of 10 Northern, Western, and Southern European countries with the requisite data. In the present study, cross-section analysis of recent data gives a misleading impression that economic growth, social capital, and/or quality of the environment are driving happiness trends, but in the long-term, time-series data, these variables have no relation to happiness.

How production networks amplify economic growth.

Technological improvement is the most important cause of long-term economic growth. In standard growth models, technology is treated in the aggregate, but an economy can also be viewed as a network in which producers buy goods, convert them to new goods, and sell the production to households or other producers. We develop predictions for how this network amplifies the effects of technological improvements as they propagate along chains of production, showing that longer production chains for an industry bias it toward faster price reduction and that longer production chains for a country bias it toward faster growth. These predictions are in good agreement with data from the World Input Output Database and improve with the passage of time. The results show that production chains play a major role in shaping the long-term evolution of prices, output growth, and structural change.

Examining the dynamics between economic development, tourism, renewable energy and life expectancy in the Nordic economies.

As the world struggles with pressing issues like climate change and sustainable development, affecting health outcomes and environmental quality, the Nordic regionsare at the forefront of major global challenges. This paper investigates the role of human capital, renewable energy use, tourism, natural resources, and economic growth in shaping life in the Nordic region i.e., Denmark, Norway, Sweden, Finland, and Iceland).Utilizing panel data spanning from 1990 to 2020, the Driscoll and Kraay standard error (DSK) technique is employed to analyze this intricate interplay. The study reveals that in the Nordic context, sustainable economic growth, bolstered by investments in human capital and the widespread acceptance of renewable energy sources, has been positively associated with increased life expectancies. Furthermore, prudent management of natural resources has helped mitigate adverse health effects related to depletion, maintaining environmental and public health standards. The thriving tourism industry has also been shown to influence lifespan in this region positively. On the contrary, the empirical finding contended that an adverse correlation exists between carbon emissions and LEX. This research underscores the importance of a comprehensive and balanced approach that considers economic development, sustainable development, and public health in pursuing longer and healthier lives, providing valuable insights for policymakers and regions seeking to replicate these positive outcomes.The findings of this study are both conceptually reliable and empirically robust, providing important insights for the formulation of environmental and health policy.

Dynamic role of clean energy and sustainable economic growth in coastal region: Novel observations from China.

China's coastal region is the major geographical unit for the future development of China's industrial sector. The transformation of basic structure to high-class development in China's coastal places is a significant tool for promoting the changes related to quality, power and efficiency in regional economic development. In the 21st century, environmental and energy issues have increased worldwide, and challenges related to environmental pollution, energy crises, and ecological imbalances have emerged. To climate change and energy utilization, the sustainable progress of clean energy is the new route of future energy development. Based on China's non-polluting energy growth process in the last ten years, this article explores China's clean/green energy policies and economic growth development plans. Clean energy utilization is crucial for sustainable development in the context of high-quality economic growth and climate change. However, the monetary evolution and carbon emission are not investigated whole from the clean energy aspects. Using Wind energy sources as the acceptable variable, this paper employs threshold regression and impulse functions to assess the energy consumption and economic growth on carbon emission in 30 Chinese provinces over the 2000 to 2020 period. The Deep Belief Network (DBN) model predicts wind energy utilization and efficiency. The results show that economic development and carbon emissions are connected. Further, growth influences promote the offset of carbon emissions. Green innovation alters the nexus of carbon emissions, and China's economy reduces carbon usage. It provides the decision-making policies for clean energy development.

Does unequal economic development contribute to the inequitable distribution of healthcare resources? Evidence from China spanning 2001-2020.

BACKGROUND: There is a dearth of research combining geographical big data on medical resource allocation and growth with various statistical data. Given the recent achievements of China in economic development and healthcare, this study takes China as an example to investigate the dynamic geographical distribution patterns of medical resources, utilizing data on healthcare resources from 290 cities in China, as well as economic and population-related data. The study aims to examine the correlation between economic growth and spatial distribution of medical resources, with the ultimate goal of providing evidence for promoting global health equity. METHODS: The data used in this study was sourced from the China City Statistical Yearbook from 2001 to 2020. Two indicators were employed to measure medical resources: the number of doctors per million population and the number of hospital and clinic beds per million population. We employed dynamic convergence model and fixed-effects model to examine the correlation between economic growth and the spatial distribution of medical resources. Ordinary least squares (OLS) were used to estimate the ß values of the samples. RESULTS: The average GDP for all city samples across all years was 36,019.31 ± 32,029.36, with an average of 2016.31 ± 1104.16 doctors per million people, and an average of 5986.2 ± 6801.67 hospital beds per million people. In the eastern cities, the average GDP for all city samples was 47,672.71 ± 37,850.77, with an average of 2264.58 ± 1288.89 doctors per million people, and an average of 3998.92 ± 1896.49 hospital beds per million people. Cities with initially low medical resources experienced faster growth (all ß < 0, P < 0.001). The long-term convergence rate of the geographic distribution of medical resources in China was higher than the short-term convergence rate (|ßi + 1| > |ßi|, i = 1, 2, 3, …, 9, all ß < 0, P < 0.001), and the convergence speed of doctor density exceeded that of bed density (bed: |ßi| >doc: |ßi|, i = 3, 4, 5, …, 10, P < 0.001). Economic growth significantly affected the convergence speed of medical resources, and this effect was nonlinear (doc: ßi < 0, i = 1, 2, 3, …, 9, P < 0.05; bed: ßi < 0, i = 1, 2, 3, …, 10, P < 0.01). The heterogeneity between provinces had a notable impact on the convergence of medical resources. CONCLUSIONS: The experiences of China have provided significant insights for nations worldwide. Governments and institutions in all countries worldwide, should actively undertake measures to actively reduce health inequalities. This includes enhancing healthcare standards in impoverished regions, addressing issues of unequal distribution, and emphasizing the examination of social determinants of health within the domain of public health research.

Public health events and economic growth in a neoclassical framework.

Public health events (PHEs) have emerged as significant threats to human life, health, and economic growth. PHEs, such as COVID-19, have prompted a reevaluation for enhanced regular prevention and control (RPC). In this study, we focus on the core concept of prevention and control intensity (PCI), and establish a neoclassical economic growth model from the long-term and macro perspective to balance life protection and economic growth. The model construct the mechanism of PCI on economic growth through population dynamics and capital accumulation under the backdrop of RPC for PHEs. We find the conditions for PCI when the economy achieves steady state, and provides an algorithm establishing the optimal strategy that maximises per capita disposable income based on the optimal PCI and consumption. Simulation result quantifies an inverted U-shaped relationship between PCI and capital per capita, output per capita and consumption per capita in the steady state. The model suggests that, given the PHEs of inducing potential unemployment shock, it is worthwhile to combine the implementation of moderate PCI with coordinated policies of income distribution.

Insights from a COVID-era health needs assessment of rural Midwestern Latinos.

Latino health and well-being are crucial to the growth and vibrancy of rural areas across the United States, particularly at a time when the demographics of many rural communities are transitioning from minority Latino to majority Latino populations. This manuscript details the findings of a study that explored the health and healthcare benefit status of 524 Latino households in rural Indiana during the COVID-19 pandemic. Via 20-minute, door-to-door interviews conducted by bilingual researchers, survey participants answered questions about access to healthcare services and benefits, dietary and safety habits, medical issues, and vaccination status. The study found that slightly more than half of those surveyed were enrolled in healthcare benefit plans; approximately a third were unsatisfied with their health/health status; almost two-thirds had not received a flu shot and were eating fast food/processed food on a daily basis. Top health concerns reported included: stress (52%), vision problems (34%), neck and back pain (30%), headaches/migraines (28%), anxiety and depression (28%) and weight problems (26%). The study also discovered that half of the respondents could not identify a primary healthcare provider (PCP) by name and that pregnant women faced a lack of resources for maternal health in the county where the study was conducted. The results indicate that Latinos in rural communities continue to endure significant health issues and barriers to healthcare. The study provides an excellent model of how a rural community can monitor the health of its residents, which can inform health interventions for underserved populations.

Extrinsic goals benefit capitalism but not well-being. Rethinking the economy's goal for a healthier future.

The dramatic rise in non-communicable diseases around the world but notably in high-income countries like the UK is a manifestation of a global economic system-capitalism-that prioritizes wealth over health. A decade ago, the former WHO Director-General, Margaret Chan highlighted how 'efforts to prevent non-communicable diseases go against the business interests of powerful economic operators' [United Nations. (2013) Take Action for the Sustainable Development Goals. https://www.un.org/sustainabledevelopment/sustainable-development-goals/ (last accessed 16 February 2024)]. While there is a growing literature on how politics and economics influence population health-for better or worse-less attention has been given to exploring how economic systems like capitalism influence people's psychological well-being. To fill this gap, the following article examines how the continued pursuit of economic growth under capitalism (neoliberal free-market forms especially) impacts well-being through challenging basic psychological needs for security, autonomy, competence and relatedness. In doing so, I hope to shed important light on the sources and possible solutions to our growing health and social problems, and stimulate a conversation on how to achieve a healthier future for us all.

Material resource decoupling dilemma: Convergence and traps of in-use stock productivity in national economy development.

Various studies have suggested decoupling material stock from economic output as an important measure for promoting sustainable development. Here, we develop three theoretical hypotheses to describe the evolution features and economic effects of material stock intensity, and predict in theory that (1) Countries with higher material stock intensity are more likely to decouple economic growth from material stock. (2) Material stock intensity follows convergence trends. (3) Higher material stock intensity leads to higher long-run economic growth rates. To examine the adaptability of these hypotheses, we choose steel in-use stock as the proxy for the material capital stock and use panel data in 85 countries from 1950 to 2018 to conduct empirical analysis. Our empirical results in most countries support the theoretical predictions of the hypotheses. In particular, a 0.1t/k$ increase in steel stock intensity leads to a 2.12% increase in the probability of decoupling between steel stock and economic output next year and a 0.34% increase in the long-run GDP per capita growth rate annually. Moreover, steel stock intensity converges to approximately 0.25t/k$ to 0.35t/k$ at mature development stages. We predict that, except China, which is expected to follow decoupling trends, other large developing economies will couple economic output with steel stock. However, the shape of intensity curves is still uncertain for highly developed countries in the future.

Impact of governance quality, population and economic growth on greenhouse gas emissions: An analysis based on a panel VAR model.

Unlike the previous literature on climate change, this study employed the panel vector autoregressive model to examine the impact of population growth, governance quality, and economic growth on global warming. Moreover, we used the impulse response function tool, which was developed in the same context, to better understand the reaction of the main variables of interest, per capita greenhouse gas (GHG) emissions, aftershocks on population change, governance quality, and economic growth variables. Finally, the analysis was completed by the variance decomposition of all variables. These analyses were conducted for the 33 most polluting countries in terms of GHG from 1996 to 2019. The results show that both population growth and economic growth have a positive and significant influence on climate change and can strongly explain the gradual rise in Earth's temperature. Our empirical results show that there is a negative and significant relationship between the quality of governance and GHG emissions. The results show that there is a bidirectional causality between GHG emissions, population and economic growth. Based on the findings, this study proposes several policy recommendations.

Optimal environmental investment strategies for enterprise green technology innovation: An empirical study based on multiple drive models.

Enterprise green technology innovation (GTI) is vital for global sustainable development. However, the optimal strategies are needed to understand how environmental investments (EIs) impact enterprise GTI. This study adopts multiple drive models to explore the impact of EIs on the GTI of A-share listed enterprises in China from 2008 to 2022. Our results show that EIs significantly promote enterprise GTI, and these findings are robust. Heterogeneity analysis reveals that non-state-owned enterprises (non-SOEs) and enterprises in the eastern and western regions benefit more from EIs in promoting GTI. Labor-intensive combinations of EIs contribute to the growth of enterprise GTI quantity, while technology-intensive combinations of EIs are detrimental to the growth of enterprise GTI quality. Specifically, the intermediary conduction mechanism identifies that EIs substantially enhance enterprise GTI through financial constraints, research and development (R&D) investment, and environmental awareness. The threshold test mechanism demonstrates that EIs inhibit enterprise GTI when the price-to-book (P/B) ratio crosses a certain threshold; however, EIs promote enterprise GTI once the book-to-market (B/M) ratio crosses the threshold. Our findings can provide valuable references for governments and enterprises, helping to promote environmentally sustainable development and economic growth.

Does economic growth targets setting lead to carbon emissions? An empirical study from China.

Accurately identifying the historical causes of carbon emissions in the process of national economic development is an important basis for developing countries to achieve carbon emission reduction. This paper explores the intrinsic institutional causes of China's high CO2 emission growth based on the characteristic economic growth target system of China, and attempts to empirically test the environmental effects behind this system. The results of the study show that the setting of absolute economic growth targets significantly increases the carbon dioxide emissions of cities under horizontal competition, and the setting of relative economic growth targets exacerbates the above carbon emission effect under vertical competition. In addition, the heterogeneity analysis shows that the carbon emission effect of setting economic growth targets is stronger in resource-dependent cities and cities with a lower level of economic development. Mechanism tests show that economic growth targets not only significantly increases total fossil energy consumption and reduces energy efficiency at the firm level, but also leads to the increase of energy consumption and the reduction of energy efficiency at the industry level. The findings of this study provide an intrinsic institutional explanation for China's high carbon emissions and provide useful guidance for the design of mechanisms to achieve large-scale carbon emission reductions in developing countries.

Decoupling economic growth from construction waste generation: Comparative analysis between the EU and China.

The reduction and management of construction waste is crucial for the sustainable development of the construction industry. This research aims to explore a comparative analysis on decoupling relationship between economic growth and construction waste generation on European Union (EU) and Chi et al., 2020 to 2020 in the construction industry, through an integrated method framework of "Tapio + Kaya + LMDI". The research results indicate that there are significant differences in construction waste generation among different countries. The growth rates of construction waste in the EU and China from 2004 to 2020 were 2.47 % and 10.5 %, respectively, showing an upward trend. The economic growth of the construction industry in most EU countries is in a decoupling and negative decoupling state with significant regional differences in decoupling status. The construction waste generation in China is mainly in a weak decoupling state. Economic and demographic factors are the main factors promoting the increase in construction waste generation, while technological factors are the main factors inhibiting construction waste generation in EU and China. However, the impact of each factor on construction was generation varies from EU countries. The research reveals the decoupling effect mechanism between construction waste generation and economic growth, and improves the theory of construction waste management, promotes sustainable development. These findings have feasible inspiration for construction waste management in developing countries with different economic growth levels.

The existence of environmental Kuznets curve: Critical look and future implications for environmental management.

Against the backdrop of the great challenge of climate change and growing global environmental concerns, this study deals a systematic literature review of research related to Environmental Kuznets Curve (EKC) from 1991 to 2023, details the background, definition, significance, critiques, theoretical foundations and model specifications of EKC, and summarizes the data, variables, econometric methods and findings used in over 100 EKC studies. This study focuses on EKC studies that examine the relationship between energy consumption, economic growth and environmental degradation, with most of the studies reviewed using global pollutants (carbon emissions) to measure the level of environmental degradation. This study found that EKC still has great research potential, and with the development of energy diversification, energy consumption in EKC studies have been further subdivided into renewable or non-renewable energy consumption; innovative EKC studies in the last few years have favoured the use of novel environmental and economic indicators and econometric method, and have validated the existence of EKC at the sectoral level rather than the national level. Finally, the present study summarizes the development and innovations of EKC and provides suggestions for future research aimed at advancing the development of EKC and environmental management.

Balancing growth targets and environmental regulations: An empirical analysis of dual policy impact on corporate environmental responsibility-insights from China.

Balancing economic growth with environmental conservation poses a universal challenge for governments worldwide. This study investigates the intricate interplay between governments' economic-environmental trade-offs and their implementation of policies aimed at promoting Corporate Environmental Responsibility (CER). Given the discretion of Chinese local governments in economic and environmental policy, we take China as a case study. To conduct this research, we first merge critical data on China's economic growth targets and environmental regulations with information on listed enterprises. Then, we employ a "U-shaped" relationship model to examine the impact of these trade-offs on CER implementation. The results reveal that: (1)The effective fulfillment of CER by enterprises is primarily driven by stricter environmental regulations. (2) Economic growth targets can, to some extent, diminish the policy effect of environmental regulations on CER fulfillment. (3)The crowding-out effect of economic growth targets is particularly pronounced within specific subsets of enterprises, including state-owned enterprises, heavily polluting firms, and those facing high profit pressure. These findings imply that when local governments implement contradictory policies, they must consider not only enterprises' political connections and economic contributions but also pay close attention to the survival dilemma of enterprises. This balancing act aims to harmonize conflicting policy objectives. This research deepens the understanding of how institutional and policy frameworks impact enterprise engagement in CER, especially within the context of governments' economic-environmental trade-offs. It sheds light on the strategies employed by China and other emerging economies to effectively leverage contradictory policies to foster sustainable green growth.

Asymmetric impact of patents on green technologies on Algeria's Ecological Future.

This study examines how patents on green technologies impact Algeria's ecological footprint from 1990 to 2022 while controlling for economic growth and energy consumption. The objectives are to analyze the asymmetric effects of positive and negative shocks in these drivers on ecological footprint and provide policy insights on leveraging innovations and growth while minimizing environmental harm. Given recent major structural shifts in Algeria's economy, time series data exhibits nonlinear dynamics. To accommodate this nonlinearity, the study employs an innovative nonlinear autoregressive distributed lag approach. The findings indicate that an upsurge in green technologies (termed as a positive shock) significantly reduces the ecological footprint, thereby enhancing ecological sustainability. Interestingly, a decline in green technologies (termed as a negative shock) also contributes to reducing the ecological footprint. This highlights the crucial role of clean technologies in mitigating ecological damage in both scenarios. Conversely, a positive shock in economic growth increases ecological footprint, underscoring the imperative for environmentally friendly policies in tandem with economic expansion. Negative shocks, however, have minimal impact. In a similar vein, positive shock in energy consumption increases ecological footprint, underlining the importance of transitioning towards cleaner energy sources. Negative shock has a smaller but still noticeable effect. The results confirm asymmetric impacts, with positive and negative changes in the drivers affecting Algeria's ecological footprint differently. To ensure long-term economic and ecological stability, Algeria should prioritize eco-innovation and green technology development. This will reduce dependence on fossil fuels and create new, sustainable industries.

The impact of economic growth targets on the level of green development-A perspective on officials' promotion incentives and environmental regulations.

Currently, China is at a critical stage of accelerating the green transformation of its economic development model, with considerable attention being paid to achieving this transformation while maintaining moderate economic growth. This study uses 271 prefecture-level cities in China from 2006 to 2020 to examine the impact of local government economic growth target constraints on the level of green economic development and to elucidate the underlying mechanisms. The results show that economic growth targets significantly inhibit the level of urban green development, with this effect being more pronounced in the economically developed eastern regions of China. Hard constraints on economic growth targets have a greater inhibitory effect on green development than soft constraints. The greater the promotion pressure on local officials, the stronger the inhibitory effect of economic growth target constraints on green development. The test of the mediation effect model reveals that economic growth targets can inhibit green development by affecting the degree of regional marketization, leading to mismatches in the capital and labor markets. Moreover, environmental regulations can mitigate the inhibitory effect of economic growth targets on green development levels. The conclusions of this study provide useful insights for local governments to optimize economic development target constraint mechanisms and accelerate high-quality green economic development.

The impact of renewable energy, eco-innovation, and GDP growth on CO2 emissions: Pathways to the UK's net zero target.

In May 2019, the Climate Change Committee (CCC) recommended that the UK adopt a net-zero target, aiming to reduce its greenhouse gas emissions (GHG) by 100% from the 1990s baseline by 2050. The government accepted the recommendation, and the UK became the first major economy to establish a net-zero emissions law. To progress towards its climate objectives, the government took several initiatives, such as increasing its reliance on renewable energy sources and investing in climate mitigation technologies, which are commonly referred to as process eco-innovation. This study examines the impact of eco-innovation, process eco-innovation, renewable energy consumption, and economic growth on CO2 emissions in the UK using data from 1988 to 2020. We used the ARDL bound test with an error correction model (ECM) to examine the long-run and short-run cointegration between the variables of concern. We found that eco-innovation, process eco-innovation, and renewable energy consumption have significant roles in mitigating CO2 emissions, while economic growth contributes to environmental degradation in the UK. We also found that the effect of eco-innovation on CO2 emissions abatement is stronger than that of process eco-innovation in the short and long-run. Our robustness tests have confirmed the accuracy of those findings. In addition, the results from the Toda-Yamamoto causality revealed a one-way causality from process eco-innovation to CO2, renewable energy to CO2, and eco-innovation to CO2 emissions. Further, a bidirectional causality was found between GDP and CO2 emissions. The evidence presented in this paper provides great insight for shaping the energy policy in the UK and for establishing the climate budget in line with the country's net-zero target.