Member states’ EU ambassadors today agreed on the Council’s partial negotiating mandate on the proposed Strategic Technologies for Europe Platform (STEP).
The platform will support investments in critical technologies in the fields of digital and deep tech, clean tech and biotech in the EU. It will reduce the EU’s strategic dependencies and enhance its long-term competitiveness.
The Council’s negotiating mandate is partial, because its position on additional financial support for STEP will depend on the final outcome of the horizontal negotiations on the mid-term revision of the multiannual financial framework for 2021-2027.
Main elements of the Council’s mandate
In its mandate, the Council clarifies the objectives and scope of STEP, and confirms its support for the proposed sovereignty seal and sovereignty portal for STEP-related investments.
To facilitate the use of available funding and create synergies among funding instruments for investments in critical technologies, the Council supports identifying resources which would support STEP objectives within a range of existing EU programmes and funds, including the InvestEU, Horizon Europe, European Defence Fund, Innovation Fund, Recovery and Resilience Facility and cohesion policy funds.
The Council also agrees to the Commission proposal to apply a 100 % co-financing rate and a 30 % pre-financing for STEP priorities under the 2021–2027 programming period for cohesion policy funds, as well as to the proposal to enable investments in large enterprises.
Considering the continued budgetary pressure in member states, the Council has also agreed to apply retroactively a 100 % co-financing rate to the 2014-2020 cohesion programmes in the final accounting year, whilst extending the deadline for submitting payment applications by 12 months.
In addition, the Council has included in its mandate some other provisions to reduce administrative burden for the member states and facilitate the reprogramming of funds towards STEP objectives.
Next steps
The partial mandate agreed today will serve as a basis for negotiations on STEP with the European Parliament. Once an agreement with the Parliament is reached, the regulation will need to be formally adopted by the Council and the European Parliament.
Background
The Commission proposed the creation of a Strategic Technologies for Europe Platform on 20 June 2023 as part of its package of proposals related to the mid-term revision of the multiannual financial framework 2021-2027.
Today the Council also agreed a partial negotiating mandate on the Ukraine Facility.
 
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Cheaper cross-border payment services would benefit people and economies worldwide
Kieran Murphy
January 3, 2024

Faster, cheaper, and more transparent cross-border payment services have the potential to improve many lives by supporting economic growth, international trade, global development, and financial inclusion. The Group of Twenty has prioritized such progress.
That’s because the financial links between countries, particularly between emerging market and developing economies, face several challenges that must be addressed, including high costs and inconsistent charges depending on the countries being linked, as we explore in a new paper prepared as part of our payments work with the G20.
The global average cost of sending $200 from one country to another is about $12.50 in the first quarter of 2023, or 6.25 percent, according to the World Bank’s Remittance Prices Worldwide database. The G20 have set a target, reaffirming the United Nations Sustainable Development Goal, of a global average cost for sending a $200 remittance of no more than 3 percent by 2030, with no corridors higher than 5 percent.
However, as the Chart of the Week shows, some costs are many times higher than this target. Fees exceed 50 percent for funds sent from Türkiye to neighboring Bulgaria, for example. Costs are notably high for sending money in sub-Saharan Africa, where Tanzanian remittances to Uganda and Kenya incur fees over 30 percent. In South Africa, it’s particularly costly to send across its borders with Botswana, Eswatini, and Lesotho.

High fees, especially bank-to-bank transfers, are a main driver of the high costs for corridors between emerging market and developing economies. Such bank fees tend to be much lower for transfers originating in advanced economies where foreign-exchange margins can be 50 percent or more of the cost in some corridors.
The Financial Stability Board acknowledged in a recent report that progress under the roadmap to enhance cross-border payments will be needed to meet the targets set across the wholesale, retail, and remittances market segments.
To help reduce costs and address challenges with cross-border payments, international organizations such as the IMF and World Bank will need to play a key role by sharing best practices through technical assistance for member countries. Technical assistance can help because, while the targets are set at a global level, they require coordinated and customized assistance at the country level to address specific challenges.
The IMF shares its knowledge with government institutions such as finance ministries and central banks through hands-on advice, training, and peer-to-peer learning. Our technical assistance is part of capacity development, which is a core mandate that accounts for nearly a third of the IMF budget.
We will focus in coming years on improving access to payment systems, extending and aligning operating hours, interlinking of payment systems, combating money laundering and the financing of terrorism, and harmonizing payment systems by adopting the global and open standard for exchanging financial information, known as ISO 20022. We will also collaborate with the World Bank at the country and project level.

 
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NEW YORK—The Federal Reserve Bank of New York’s Center for Microeconomic Data today released the December 2023 Survey of Consumer Expectations, which shows that inflation expectations declined at the short-, medium- and longer-term horizons. Notably, inflation expectations at the short-term horizon reached the lowest level recorded since January 2021. Earnings growth and spending growth expectations also decreased slightly to their lowest recorded levels since 2021, while expectations about credit access and households’ financial situation turned less pessimistic.

The main findings from the December 2023 Survey are:
Inflation

Median inflation expectations declined at all horizons, falling to 3.0% from 3.4% at the one-year ahead horizon, to 2.6% from 3.0% at the three-year ahead horizon, and to 2.5% from 2.7% at the five-year ahead horizon. Median inflation expectations at the one-year ahead horizon reached the lowest level recorded since January 2021. The survey’s measure of disagreement across respondents (the difference between the 75th and 25th percentile of inflation expectations) increased at the one-year ahead horizon, and decreased at the three-year and five-year ahead horizons.
Median inflation uncertainty—or the uncertainty expressed regarding future inflation outcomes—remained essentially unchanged at all three horizons.
Median home price growth expectations remained unchanged at 3.0%, remaining well above the series 12-month trailing average of 2.4%.
Median year-ahead expected price changes increased by 0.5 percentage point for the cost of a college education to 6.3%, decreased by 0.3 percentage point for food to 5.0%, decreased by 0.7 percentage point for rent to 7.3%, and remained flat for gas at 4.5% and the cost of medical care at 9.1%.

Labor Market

Median one-year-ahead expected earnings growth decreased by 0.2 percentage point to 2.5%, the lowest level since April 2021. The decline was driven by respondents with at most a high school diploma.
Mean unemployment expectations—or the mean probability that the U.S. unemployment rate will be higher one year from now—decreased by 1.4 percentage points to 37.0% , remaining below the series 12-month trailing average of 39.5%.

The mean perceived probability of losing one’s job in the next 12 months decreased slightly by 0.2 percentage points to 13.4%, remaining above the series 12-month trailing average of 12.3%. The mean probability of leaving one’s job voluntarily in the next 12 months increased by 0.8 percentage point to 20.4%.
The mean perceived probability of finding a job (if one’s current job was lost) increased marginally to 55.9% from 55.2% in November.

Household Finance

Median expected growth in household income decreased by 0.1 percentage point to 3.0%, remaining above the February 2020 pre-pandemic level of 2.7% . The series has been moving within a narrow range of 2.9% to 3.3% since January 2023.
Median household spending growth expectations declined by 0.2 percentage point to 5.0%, reaching the lowest level recorded since September 2021. Still, the series remains well above its February 2020 pre-pandemic level of 3.1%.
Perceptions of credit access compared to a year ago were largely unchanged. Expectations about credit access a year from now instead improved with a larger share of respondents expecting looser credit conditions and a smaller share of respondents expecting tighter credit conditions a year from now.
The average perceived probability of missing a minimum debt payment over the next three months increased by 0.6 percentage point to 12.4% , a level above the series 12-month trailing average of 11.5% but comparable to those prevailing just before the pandemic.
The median expected year-ahead change in taxes at current income level remained unchanged at 4.1%.
Median year-ahead expected growth in government debt decreased to 9.4% from 10% in November.
The mean perceived probability that the average interest rate on saving accounts will be higher in 12 months decreased by 3.6 percentage points to 25.9%, its lowest level since November 2021.
Perceptions about households’ current financial situations improved with fewer respondents reporting being worse off than a year ago. Year-ahead expectations also improved with a smaller share of respondents expecting to be worse off and a larger share of respondents expecting to be better off a year from now.
The mean perceived probability that U.S. stock prices will be higher 12 months from now increased by 0.2 percentage point to 36.7%.

About the Survey of Consumer Expectations (SCE)
The SCE contains information about how consumers expect overall inflation and prices for food, gas, housing, and education to behave. It also provides insight into Americans’ views about job prospects and earnings growth and their expectations about future spending and access to credit. The SCE also provides measures of uncertainty regarding consumers’ outlooks. Expectations are also available by age, geography, income, education, and numeracy.
The SCE is a nationally representative, internet-based survey of a rotating panel of approximately 1,300 household heads. Respondents participate in the panel for up to 12 months, with a roughly equal number rotating in and out of the panel each month. Unlike comparable surveys based on repeated cross-sections with a different set of respondents in each wave, this panel allows us to observe the changes in expectations and behavior of the same individuals over time. For further information on the SCE, please refer to an overview of the survey methodology here, the interactive chart guide, and the survey questionnaire.

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Inflation in the eastern euro area: reasons and risks

10 January 2024
By Matteo Falagiarda

Within the euro area, countries in central and eastern Europe have recently experienced the highest inflation rates. But why, exactly? The ECB Blog looks at the reasons for these higher prices and highlights the resulting risks and vulnerabilities.

Since 2021 inflation in euro area countries in central and eastern Europe (EACEE) has significantly outpaced that of the euro area as a whole.[1] The differentials have narrowed in recent months but remain high for core inflation, which excludes energy and food prices (Chart 1). If large cumulated inflation differentials persist in a monetary union like the euro area, they can lead to competitiveness losses. This, in turn, could stoke country-specific macroeconomic vulnerabilities, such as deteriorating current accounts, higher external debt, downward demand pressures and rising unemployment. So understanding the sources of high inflation is important to deal with the associated risks.

Chart 1
Inflation differentials in EACEE countries vis-à-vis the euro area average

(percentage points)

Sources: Eurostat and author’s calculations.
Notes: Averages across EACEE countries are unweighted averages. Core inflation refers to HICP excluding energy and food. The latest observations are for November 2023.

Strong impact of global shocks
Part of the reason for the relatively high initial inflation in EACEE countries is their vulnerability to recent adverse global shocks: disruptions in global supply chains, supply-demand imbalances after the COVID-19 pandemic as well as the ramifications of the Russian invasion of Ukraine. These shocks hit all European economies. But their impact was stronger in EACEE countries, in part due to certain structural features of these economies (Chart 2).
First, EACEE countries typically display a higher energy intensity of production than the euro area average, mainly owing to larger energy-intensive sectors (i.e. manufacturing and transport) and fewer energy-efficient appliances and buildings. Second, the share of energy and food in their consumption baskets is higher than the euro area average, which we often see in economies with lower average incomes. Third, most of these economies depended heavily on Russian energy prior to the outbreak of the war, making them more vulnerable to energy supply disruptions. Fourth, these countries are deeply integrated in global value chains (GVC), implying a larger impact of global supply bottlenecks.[2]

Chart 2
Higher vulnerability of EACEE countries to recent global shocks

(left panel: kilogrammes of oil equivalent per thousand euro in PPS; middle and right panels: percentages)

Sources: Eurostat, OECD (TiVA) and author’s calculations.
Notes: Averages across EACEE countries are unweighted averages. Euro area figures for energy intensity and import dependency are calculated using country-weights based on nominal GDP. Energy intensity measures the energy needs of an economy and is calculated as units of energy per unit of GDP. Data on energy intensity refer to 2021. Russian oil refers to Russian oil and petroleum products. Russian gas refers to Russian natural gas. Data on import dependency on Russian oil and gas refer to 2020. Backward GVC participation is the foreign value added embedded in domestic exports. Data on backward GVC participation refer to 2020. Data on weights in the HICP basket refer to 2022.

Persistent domestic price pressures
While external shocks were an important driver of initial inflation differentials, domestic factors also play a prominent role (Chart 3). How much pipeline pressures (those emerging at the early stages of the production and distribution chain) ultimately pass through to consumer goods partly depends on how much firms absorb them by reducing profit margins. While euro area firms have recently expanded unit profits, recouping past real profit losses and building buffers amidst high uncertainty, the unit profit increase was larger in the EACEE region. This has an effect on domestic price pressures. The larger increase in unit profits in EACEE countries possibly reflects the stronger pipeline pressures, the more pronounced impact of global supply bottlenecks, or a lower degree of competition among firms, especially in the smaller countries of the region.

Domestic factors have played an increasingly prominent role in supporting inflation.

Labour market conditions have also remained tight in all EACEE countries, with historically low unemployment rates and persistent labour shortages resulting in robust wage growth in excess of productivity growth. This exerted upward pressure on inflation, albeit with limited risk of a price-wage spiral. Shortages in labour supply are apparent from less favourable developments in the labour force and working age population in these countries compared to the euro area overall. These trends are due to migration outflows of highly skilled young people and a rapid population ageing.
Stronger domestic price pressures in EACEE countries may have also reflected that higher inflation temporarily reduced real interest rates. As the pick-up in inflation started earlier and was stronger than in the rest of the euro area, borrowers in these countries have temporarily experienced a decline in the real value of their outstanding debt. In addition, to the extent that a continuation of relatively high inflation has been expected, ex-ante real financing costs could have been relatively low. Both factors, combined with resilient labour markets, may have contributed to stronger (albeit now moderating) domestic demand and credit dynamics.[3]

Chart 3
Selected indicators on domestic factors

(percentage changes from Q4 2019 to Q3 2023; unemployment rate: average percentages over the period January 2020 – September 2023)

Sources: Eurostat, ECB and author’s calculations.
Notes: Averages across EACEE countries are unweighted averages. Unit labour costs are defined as compensation per employee divided by labour productivity. Unit profits are defined as gross operating surplus divided by real GDP. Loans to firms and households are notional stocks adjusted for sales and securitisation. Labour force is the active population between 15 and 64. Working-age population refers to the number of persons aged between 15 and 64.

Analysis confirms that the bulk of the initial increase in inflation in EACEE countries reflected global external shocks (Chart 4). The estimates indicate that external shocks played a strong role in boosting inflation above the euro area aggregate. At the same time, the model shows that domestic price pressures have increasingly contributed to the widening of inflation differentials vis-à-vis the euro area. While external sources of inflation eased since the end of 2022, domestic factors are estimated to have continued to exert significant upward pressures on inflation in the most recent period as well.

Chart 4
Decomposition of headline inflation

(left-hand and middle panels: cumulated percentage point contributions to headline inflation since December 2019; right-hand panel: cumulated contributions to changes in the headline HICP index from December 2019 to September 2023)

Sources: Author’s calculations.
Notes: The left-hand and middle panels show the cumulated percentage point contribution of different types of shocks to explain the evolution in headline inflation since December 2019. The right-hand panel shows the cumulated contribution of different types of shocks to explain the evolution in the headline HICP index since December 2019. Global factors include an energy price shock and a global supply bottlenecks shock; other factors include a domestic supply shock, a monetary policy shock and an unidentified shock. The contributions are estimated in a Bayesian vector autoregressive model. More details on the model can be obtained upon request from the author.

Conclusions
The recent drop in energy prices and the unwinding of global supply bottlenecks have already begun to narrow headline inflation differentials of EACEE countries vis-à-vis the euro area. However, domestic price pressures, in part resulting from a stronger pass-through of external shocks amidst tight labour markets, are keeping underlying inflation in these countries persistently higher than the euro area average. At the same time, high cumulated inflation increased the relative price level, eroding price competitiveness, as reflected by the strong appreciation of the real effective exchange rates, implying that these countries might be confronted with rising external vulnerabilities and the related consequences.
These developments point to the need for policy action. As the single monetary policy cannot address such country specific developments, national fiscal and structural policies are best suited to mitigating potential risks. The precise policy response will depend on country-specific features. In the near term, a tighter fiscal policy stance could help to dampen inflationary pressures stemming from domestic demand. In addition, structural policies could support the competitiveness of these economies, their potential growth and resilience to future shocks, for example by fostering investment in innovation and human capital as well as strengthening adjustment flexibility.
The views expressed in each blog entry are those of the author(s) and do not necessarily represent the views of the European Central Bank and the Eurosystem.
Check out The ECB Blog and subscribe for future posts.

The EACEE countries in this blog post comprise Estonia (EE), Latvia (LV), Lithuania (LT), Slovakia (SK), Slovenia (SI) and Croatia (HR). Notice that during the inflation surge in 2021-2022, Croatia had not yet adopted the euro. While EACEE economies all have their country-specific features, there are also some common characteristics. They are all small open economies that adopted the euro during the past 15 years. While highly integrated with the rest of the euro area, these countries were also potentially more exposed to the shocks stemming from the Russian invasion of Ukraine given their geographical proximity. In the last two decades, they have been undertaking a process of gradual convergence, but their income per capita still lags that of the euro area average. An adverse demographic outlook and subdued productivity growth represent an obstacle for a fast catching-up of these countries. On the positive side, these countries typically display relatively low public and private debt levels compared with other euro area countries.
Moreover, in the Baltics changes in commodity prices tend to transmit quickly to consumer prices on account of particularly flexible price setting.
In some EACEE countries, the ample liquidity in the banking sector has also temporarily limited the transmission of tighter ECB’s monetary policy.

 
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New experimental statistics on distribution of household wealth in euro area provide quarterly information to policy makers, in line with national accounts
First new data show that household net wealth in euro area increased by 29% over last five years, with homeowners’ net wealth increasing more than that of non-homeowners
Inequality, as measured for example by share of wealth held by top 5% versus bottom 50%, decreased slightly over past five years

The European Central Bank (ECB) has today published experimental statistics on Distributional Wealth Accounts (DWA) to provide quarterly and timely household distributional information that is consistent with the national accounts. The new data have been developed to support the ECB’s 2021 monetary policy strategy, which aims to include a systematic assessment of the two-way interaction between income and wealth distributions and monetary policy[1]. The release also follows recommendations of the G20 Data Gaps Initiative[2].
The DWA link household-level information from the Household Finance and Consumption Survey (HFCS) to macroeconomic information available in the sector accounts and therefore complement existing household survey data. The data will be compiled every quarter and published five months after the end of each period.
The DWA provide data on net wealth, total assets and liabilities[3] and their components. Households are broken down into the top five deciles of net wealth and the bottom 50% as well as by employment and housing status.
Through these data, it is possible to analyse the effects of, for example, growing housing wealth and the rising value of listed shares on the distribution of household wealth. The DWA results show that the increase in housing wealth in recent years has been more equally distributed than the increase in the value of listed shares (Chart 1).

Chart 1: Housing wealth (left) and listed shares (right), by net wealth decile, euro area

The significant rise in euro area household net wealth observed in national accounts over the past five years (29% or about €13.7 trillion) was accompanied by a slight decrease in inequality, partly because homeowners, who account for more than 60% of the population, benefited from increased housing prices. Their net wealth (per household) increased by 27% over this period. In parallel, the net wealth of non-homeowners, making up 40% of the population, grew by 17%, mainly owing to the rise in deposits observed over this period.
The DWA dataset also includes the Gini coefficient for net wealth, data on median and mean net wealth, the share of net wealth held by the bottom 50%, the top 5% and the top five deciles of households, as well as the debt-to-asset ratio by household net wealth deciles.
The DWA results show that, in the euro area, the share of net wealth held by the top 5% of households of the net wealth distribution dropped slightly between 2016 and the second quarter of 2023, while still exceeding 43%. At the same time, the median net wealth increased by approximately 40% (Chart 2).

Chart 2: Share of net wealth held by top 5% (left) and household median net wealth (right), euro area

Methodological notes

The DWA data and information on the methodology can be accessed via the ECB Data Portal.
DWA results are available from 2009 and combine the aggregated quarterly sector accounts (QSA) with the four available HFCS waves between 2010 and 2021. Results for the quarters after 2021 are estimated using the most recent sector accounts data and the latest available HFCS wave, assuming a stable instrument distribution. As a result, for recent quarters the DWA capture the impact of developments in sector accounts on wealth distribution, and provide an estimate for the distributional effect of price changes for each instrument. Possible further changes due to differences in the investment and financing behaviour of different household groups are not reflected and will be only integrated as subsequent HFCS waves are released.
DWA data are at current prices and are not adjusted for the effect of inflation.
The data will be updated every three months and will reflect any revisions to the QSA. Furthermore, data from 2021 onwards will be revised when the next HFCS wave becomes available.

Experimental data comply with many, but not all, of the quality requirements of official ECB statistics. A sensitivity analysis has been performed on some parameters used in the estimates, however the results may be subject to higher uncertainty compared with other statistics.

Wealth deciles are computed by ranking households of a country according to their net wealth, starting with the poorest ones, and then grouping them into ten consecutive subsets, each representing 10% of the population: D1 is the poorest decile according to net wealth, D2 the second poorest, etc… up to D10 which is the richest decile according to net wealth. Deciles D1 to D5 together form the “bottom 50%”.

The Gini coefficient measures the extent to which the distribution of wealth within a country deviates from a perfectly equal distribution. A coefficient of 0 expresses perfect equality where everyone has the same wealth, while a coefficient of 1 expresses full inequality where only one person has all the wealth.

 See the overview of the ECB’s monetary policy strategy.

Two of the recommendations for G-20 countries relate to developing distributional information on household income, consumption, savings and wealth in line with the national accounts. See recommendations III.8 and III.9 in https://www.imf.org/en/News/Seminars/Conferences/DGI/g20-dgi-recommendations#dgi3 .
Assets include: deposits, debt securities, equity, life insurance, housing wealth and non-financial business wealth. Liabilities mainly comprise loans received.

 
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