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Political Science > Environmental Policy

You are looking at 1 - 6 of 6 items for :

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Cover IMF Staff Country Reports
Kingdom of the Netherlands–The Netherlands: 2024 Article IV Consultation-Press Release; and Staff Report
International Monetary Fund. European Dept.
The 2024 Article IV Consultation discusses that the economy has cooled, but signs of overheating remain in The Netherlands. After two years of strong recovery, growth decelerated in 2023, reflecting the energy shock, tighter financial conditions, and a slowdown in key trading partners, particularly Germany. Core inflation remains elevated, reflecting a tight labor market, robust wage growth, and healthy profit margins. Growth is expected to gradually regain momentum in 2024, driven by higher private consumption and external demand. High interest rates will weigh on business and residential investment. For 2024, given the high cost of underestimating inflation persistence, a non-expansionary stance is warranted; adjustment measures should be identified. Medium-term fiscal challenges call for structural reforms to stabilize debt. Climate mitigation strategies need to tackle implicit fuel subsidies, striking the right balance among regulation, pricing/feebates, and subsidies, while addressing distributional concerns and ensuring policy predictability.
Keywords:
government Finance statistics yearbook; IMF staff calculation; core inflation persistence; EMU aggregate; consultation cycle; Labor markets; Inflation; Labor shortages; Fiscal stance; Europe
Cover Departmental Papers
Unlocking Climate Finance in Asia-Pacific: Transitioning to a Sustainable Future
Cheng Hoon Lim, Ritu Basu, Yan Carriere-Swallow, Kenichiro Kashiwase, Mahmut Kutlukaya, Mike Li, Ehraz Refayet, Dulani Seneviratne, Mouhamadou Sy, and Ruihua Yang
The transition to a sustainable future in the Asia-Pacific region has global economic significance. Despite driving global growth in recent years, the region's heavy coal reliance led to significant greenhouse gas emissions. Meeting climate mitigation and adaptation needs in emerging and developing Asia requires investment of at least $1.1 trillion annually. Actual investment falls short by about $800 billion. Asia-Pacific’s environmental performance has also hampered its ability to tap into private flows from the fast-growing ESG asset class, keeping the cost of issuing sustainable debt instruments relatively high compared to other regions. This paper provides an overview of the climate finance ecosystem in countries in the Asia-Pacific region and presents strategies to mobilize climate finance for the region’s transition to a sustainable future. The paper identifies challenges, including gaps in the climate information architecture, policy conflicts, global complexities, and emphasizes the need for coordinated action involving governments, central banks, financial supervisors, the IMF, and other multilateral institutions. In particular, • Governments need to establish a well-defined climate strategy with strong institutional oversight and coordination to strengthen the framework on data, taxonomies, and disclosures. Fossil fuel subsidies should be phased out and carbon pricing schemes expanded to create fiscal space for sustainable investments. Strengthening macroeconomic management is essential to attract private capital. • Financial supervisors and central banks should coordinate across jurisdictions to promote global, interoperable disclosure standards, enhance climate risk analysis and reporting, and incorporate climate-related financial risks into prudential frameworks. Developing climate labels for sustainable investment funds and shifting the focus of ESG scores to better capture sustainability and climate impact would foster trust in the evaluations. The IMF can drive climate action by integrating discussions in surveillance activities and strengthening data and statistics—including through capacity building and peer learning—to develop common standards around climate risk measurement and analysis. The Resilience and Sustainability Trust could contribute to reducing financing gaps through its catalytic and reform supporting functions, while multilateral development banks could scale up grant financing and concessional lending, and where appropriate adopt risk-mitigating mechanisms to expand lending capacity. Cooperation among multilateral institutions is essential to align efforts and resources to achieve a balanced allocation between mitigation and adaptation lending.
Keywords:
Climate finance; green bonds; data; information architecture; policy; IMF Climate; IMF Library; unlocking climate finance; Climate datum; Asia-Pacific country; Climate change; Greenhouse gas emissions; Climate policy; Asia and Pacific; Global; Pacific Islands
Cover IMF Working Papers
Reaching (Beyond) the Frontier: Energy Efficiency in Europe
Mr. Serhan Cevik and Kelly Gao
The world is not decarbonizing fast enough, with global warming on track to reach as much as 4°C over the next century absent a global green transition. Policymakers in Europe—and beyond—still have an opportunity both to achieve net zero emissions by 2050 and to strengthen economic prospects by increasing energy efficiency, along with changing the energy mix from fossil fuels to renewables. In this paper, we assess energy efficiency (or intensity) in a panel of 38 European countries over the period 1980–2021 by using the stochastic frontier analysis and obtain statistically significant and intuitive results. We have two key findings. First, price signals, including through the introduction of a carbon tax and the removal of fossil fuel subsidies, are critical for energy efficiency, as consumers respond to changes in energy prices. Second, stronger environmental policies and institutions generate unambiguous improvements in energy efficiency by inducing investment in energy efficient equipment and buildings and nudging consumers for energy conservation. These results—robust to alternative specifications and methods—have important policy implications for green growth with higher energy efficiency.
Keywords:
Energy consumption; energy efficiency; stochastis frontier analysis; Europe; price signal; stochastic frontier analysis; energy efficiency in Europe; total energy consumption; Energy conservation; Consumption; Environmental policy; Greenhouse gas emissions; Energy prices; Global
Cover IMF Working Papers
Willingness to Pay for Clean Air: Evidence from the UK
Giorgio Maarraoui, Walid Marrouch, Faten Saliba, and Ada Wossink
This paper uses life satisfaction data to help the design of climate mitigation policies in the United Kingdom. We assess the effects of the exposure to ambient pollutants on long-term life satisfaction and short-term mental health in the UK. We estimate augmented Cobb-Douglas utility functions using pooled and random effects ordinal logit models. Results show that increases in NO2, PM10 and PM2.5 significantly decrease the odds of longterm happiness and short-term mental health in the UK. The willingness to pay for clean air is also significant and increases with level of education. These measurements derived can be used as benchmarks for pollution abatement subsidies or pollution taxes and can help in projecting a more comprehensive assessment of costs and benefits.
Keywords:
Air Pollution; Happiness; Policy Valuation; Climate Change; Environmental Policies; Pollution Taxes; Pollution Abatement Subsidies; life satisfaction data; dataset description; air pollutant; pollutants' correlation; household data; ordinal Logit; Income; Europe; Global
Cover IMF Working Papers
Rogue Waves: Climate Change and Firm Performance
Mr. Serhan Cevik and Fedor Miryugin
Climate change is an existential threat to the global economy and financial markets. There is a large body of literature documenting potential macroeconomic consequences of climate change, but firm-level empirical research on how climate change affects the performance of firms remains scarce. This paper aims to close this gap by empirically investigating the impact of climate change vulnerability on corporate performance using a large panel dataset of more than 3.3 million nonfinancial firms from 24 developing countries over the period 1997–2019. We find that nonfinancial firms operating in countries with greater vulnerability to climate change tend to experience difficulty in access to debt financing even at higher interest rates, while being less productive and profitable relative to firms in countries with lower vulnerability to climate change. We confirm these findings with alternative measures of climate change vulnerability. Furthermore, partitioning the sample reveals that these effects are significantly greater for smaller firms, especially in high-risk sectors and countries and countries with weaker capacity to adapt to and mitigate the consequences of climate change.
Keywords:
Climate change; nonfinancial firms; corporate performance; nonfinancial firm; firm performance; climate change vulnerability; consequences of climate change; sector peer; Natural disasters; Global
Cover IMF Working Papers
Structural Breaks in Carbon Emissions: A Machine Learning Analysis
Jiaxiong Yao and Mr. Yunhui Zhao
To reach the global net-zero goal, the level of carbon emissions has to fall substantially at speed rarely seen in history, highlighting the need to identify structural breaks in carbon emission patterns and understand forces that could bring about such breaks. In this paper, we identify and analyze structural breaks using machine learning methodologies. We find that downward trend shifts in carbon emissions since 1965 are rare, and most trend shifts are associated with non-climate structural factors (such as a change in the economic structure) rather than with climate policies. While we do not explicitly analyze the optimal mix between climate and non-climate policies, our findings highlight the importance of the nonclimate policies in reducing carbon emissions. On the methodology front, our paper contributes to the climate toolbox by identifying country-specific structural breaks in emissions for top 20 emitters based on a user-friendly machine-learning tool and interpreting the results using a decomposition of carbon emission ( Kaya Identity).
Keywords:
Climate Policies; Carbon Emissions; Machine Learning; Structural Break; Kaya Identity; machine learning methodology; machine learning analysis; user-friendly machine-learning tool; emission level; energy intensity; Greenhouse gas emissions; Climate policy; Climate change; Carbon tax; Machine learning; Global