The early-20th century is often considered the most destructive period in European history, with the interwar period of the 1920s and 1930s being defined by various aspects including recovery from the First World War, as well as fluctuating political and economic stability. In particular, the onset of the Great Depression in the U.S. created a ripple effect that was felt across the globe, especially in Europe. During this time, all major currencies were connected via the gold standard; however, several European countries had suspended the gold standard to print additional money during the First World War, and conditions had not re-stabilized by the onset of the Great Depression in the U.S. - the given countries would all abandon the gold standard by the outbreak of war in 1939. Germany Additionally, American investors withdrew much of their capital from Europe in the wake of the Wall Street Crash in 1929, and the U.S. government ceased all loans to Germany and demanded advanced repayments. The German economy had already collapsed in the early-1920s, and it became dependent on American loans to stabilize its economy and meet its reparation payments - this move by the American government caused a German economic collapse once more, sending the economy into a downward spiral. Regional differences For France, its industrial output dropped in the wake of the Great Depression, and it would not reach these levels again until after the Second World War. In contrast, the Soviet Union was largely shielded from the Great Depression, and its industrial output grew significantly in the build-up to WWII (albeit from a much less-developed starting point). For the other three countries listed, output would not reach pre-Depression levels until at least 1934.

This dataset provides values for INDUSTRIAL PRODUCTION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for INDUSTRIAL PRODUCTION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In 2022, China led the ranking with over ****** international industrial design applications via the Hague Industrial Design System. The United States followed with slightly over ****** applications, and South Korea came third with over ****** applications.

In 2023, the national intellectual property office of China had the most industrial design applications with about ******* industrial design applications from resident and non-resident companies or organizations. The European Union Intellectual Property Office (EUIPO) followed with around ******* applications.

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The figures are based on GDP (Nominal) and sector composition ratios provided by the CIA World Fact Book. Agriculture includes farming, fishing, and forestry. Industry includes mining, manufacturing, energy production, and construction. Services cover government activities, communications, transportation, finance, and all other private economic activities that do not produce material goods.

CONTEXT

• Agriculture Sector : Agriculture Sector contributes 6.4 percent of total world's economic production. Total production of sector is $5,084,800 million. China is the largest contributer followed by India. China and India accounts for 19.49 and 7.39 percent of total global agricultural output. World's largest economy United States is at third place. Next in line come Brazil and Indonesia

• **Industry Sector : **With GDP of $23,835 billion, Industry Sector holds a share of 30% of total GDP nominal. China is the largest contributor followed by US. Japan is at 3rd and Germany is at 4th place. These four countries contributes 45.84 of total global industrial output.

• Services Sector : Services sector is the largest sector of the world as 63 percent of total global wealth comes from services sector. United States is the largest producer of services sector with around 15.53 trillion USD. Services sector is the leading sector in 201 countries/economies. 30 countries receive more than 80 percent of their GDP from services sector. Chad has lowest 27% contribution by services sector in its economy.

This dataset provides values for INDUSTRIAL PRODUCTION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The Great Depression of the early twentieth century is widely considered the most devastating economic downturn that the developed world has ever seen. Industrial output was severely affected across Europe, and in Germany alone, it fell to just 58 percent of its pre-Depression level by 1932. Other Central European countries, such as Austria and Czechoslovakia, also saw their output fall to just sixty percent of their pre-Depression levels, while output in Western and Northern Europe declined by much less. By 1937/8, almost a decade after the Wall Street Crash, most of these countries saw their industrial output increase above its pre-Depression level. Germany saw its output increase to 132 percent of its 1928 output, as it emerged as Europe's strongest economy shortly before the beginning of the Second World War.

This data collection contains information about selected interactions between major powers, such as the United States, the former Soviet Union, the People's Republic of China, and Eastern European countries, and less developed countries for the years 1959, 1961, 1963, and 1965. The variables measuring the interactions include indicators of economic, political, and educational influence of the major powers on the less developed countries, such as the proportions of exports to and imports from the major powers, economic aid received from the major powers, the number of students from the less developed countries enrolled in educational institutions of the more developed countries, diplomatic recognition extended to the major powers by the less developed countries, news services of the major powers in the less developed countries, and the relative geographic distance between each of the less developed countries and the more developed countries. Also included are variables describing characteristics of the less developed countries, such as population and description of the Communist Party in each country. Additional variables provide information on the date of admission of each country to the United Nations, the degree of freedom of the press, and Communist Party membership.

Industrial output across the OECD fell by significant amount between the 1960s and 1970s, when annual averages are compared. Overall, the OECD saw industrial output grow by almost six percent in each year between 1960 and 1970, whereas this growth fell to just 3.5 percent per year between 1971 and 1978. The largest individual decline of the major economies was observed in Japan, who saw a difference of nine percent between the two periods. The largest proportional decline of the given countries, however, was observed in Switzerland, where annual industrial output between 1971 and 1978 was less than one tenth of the rate in the previous period. The primary reason for this decline was due to the 1973-1975 recession that resulted from the oil embargo of 1973, which highlighted the developed world's increasing dependency on foreign oil imports. This recession also marked the end of the post-war economic boom, but saw the transition of economies such as Japan, West Germany, and wider European Economic Community in general (i.e. the predecessor to the EU) into global economic powers.

Statistics illustrates most promising supplying countries of industrial mold in the United States from 2013 to 2024.

This dataset provides values for INDUSTRIAL PRODUCTION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Statistics illustrates most promising supplying countries of industrial sewing machines (non-automatic) in Germany from 2007 to 2024.

Throughout the Great Depression, the Soviet Union's isolation and removal from the capitalist system meant that its industrial production grew by more than 300 percent between 1929 and 1938, compared to the relatively low figures across the rest of Europe and the U.S. The Soviet Union was the only country of those listed whose industrial output did not fall in the years immediately following the Wall Street Crash of 1929. The U.S. and Germany, conversely, saw industrial production fall by 45 and 41 percent, respectively, although they had the fourth and second highest growth rates of the period between 1932 and 1938.

Statistics illustrates most promising supplying countries of industrial machinery for the preparation of fruits, nuts or vegetables in Costa Rica from 2007 to 2024.

Series Name: Average tariff applied by developed countries most-favored nation status by type of product (percent)Series Code: TM_TAX_DMFNRelease Version: 2021.Q2.G.03 This dataset is part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 17.12.1: Weighted average tariffs faced by developing countries, least developed countries and small island developing StatesTarget 17.12: Realize timely implementation of duty-free and quota-free market access on a lasting basis for all least developed countries, consistent with World Trade Organization decisions, including by ensuring that preferential rules of origin applicable to imports from least developed countries are transparent and simple, and contribute to facilitating market accessGoal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

Follow data.kapsarc.org for timely data to advance energy economics research.

An influential body of work has identified a ‘welfare-state paradox’: work–family policies that bring women into the workforce also undermine women’s access to the top jobs. Missing from this literature is a consideration of how welfare-state interventions impact on women’s representation at the board-level specifically, rather than managerial and lucrative positions more generally. This database includes data that contribute to addressing this ‘gap’. It compiles existing secondary data from various sources into a single dataset. Both the raw and 'fuzzy' data used in a fuzzy-set Qualitative Comparative Analysis of 22 industrialised countries are available. Based on these data, analyses reveal how welfare-state interventions combine with gender boardroom quotas and targets in (not) bringing a ‘critical mass’ of women onto private-sector corporate boards. Overall, there is limited evidence in support of a welfare-state paradox; in fact, countries are unlikely to achieve a critical mass of women on boards in the absence of adequate childcare services. Furthermore, ‘hard’, mandatory gender boardroom quotas do not appear necessary for achieving more women on boards; ‘soft’, voluntary recommendations can also work under certain family policy constellations. The deposit additionally includes other data from the project that provide more context on work-family policy constellations, as they show how countries performance across multiple gendered employment outcomes spanning segregation and inequalities in employment participation, intensity and pay, with further differences by class.

While policymakers in the UK and elsewhere have sought to increase women's employment rates by expanding childcare services and other work/family policies, research suggests these measures have the unintentional consequence of reinforcing the segregation of men and women into different 'types' of jobs and sectors (Mandel & Semyonov, 2006). Studies have shown that generous family policies lead employers to discriminate against women when it comes to hiring, training, and promotions, as employers assume that women are more likely to make use of statutory leaves and flexible working. Furthermore, state provision of health, education, and care draws women into stereotypically female service jobs in the public sector and away from (better-paid) jobs in the private sector. Accordingly, research suggests that the more 'women-friendly' a welfare state is, the harder it will be for women - especially if they are highly skilled - to break into male-dominated jobs and sectors, including the most lucrative managerial positions (Mandel, 2012).

Yet, more recent evidence indicates that women's disadvantaged access to better jobs is not inevitable under generous welfare policies. For instance, women's share of senior management positions in Sweden, where women-friendly policies are most developed, now stands at 36%; this compares to a figure of 28% in the UK, where gender employment segregation has historically been lower (Eurostat, 2018). Thus, the aim of this project is to provide a clearer and fuller understanding of how welfare states impact on gender employment segregation by using innovative methods and approaches that have not been used to examine this research puzzle before.

To this aim, the project is organised into three 'work packages' (WPs). WP1 examines how conditions at the country-level mediate the relationship between welfare states and gender segregation in employment across 21 advanced economies. This includes Central and Eastern European countries, which prior research has tended to overlook. The country-level conditions included are cultural norms, regulations regarding women's representation on corporate boards, and labour-market characteristics. Data will be compiled from the International Social Survey Programme, OECD, Eurostat, the Global Media Monitoring Project, the World Bank, and Deloitte's Women in the Boardroom project. WP2 then investigates how the impact of welfare-state policies on a woman's career progression varies according to her socioeconomic position and the specific economic and social context in which she lives, using regional and individual-level data from the European Social Survey. Subsequently, WP3 carries out systematic comparative case studies to explore in depth the underlying mechanisms that explain why certain welfare states and regions exhibit high levels of gender inequality but low levels of class inequality, while in other places, the opposite is true. Data are drawn from the same sources as for WP1 and WP2, as well as academic literature and other relevant sources (e.g. government websites).

The project is important because its findings will inform policymakers about how their policies affect different groups of women and how to overcome the 'inclusion-inequality' dilemma (Pettit & Hook, 2009), i.e. bring more women into the workforce by providing adequate family policies and services, but without channelling women into stereotypically feminine occupations and undermining their career progression. Tackling such segregation matters because it is a leading cause of the gender pay gap (Mandel & Semyonov, 2014) and underpins the undervaluation of women's work (Grimshaw & Rubery, 2007). At the same time, bringing more women into positions of power can have positive 'trickle-down' benefits for lower-skilled working women, as gender-balanced top-management teams are associated with female-friendly workplace characteristics and practices that can benefit all women (Kowalewska, 2017b)

Many may questions what the economy might have to do with the global poverty issue. I personally believe the economy is one of the main contributors to global poverty and inequalities. Supply and demand drives the economy, and in North America, our society is very materialistic. Although the economy does not revolve around just what we buy, it also consists of things such as oil, and other unsustainable resources that are widely used due to their accessibility. The GDP would be significantly less without trade to other countries. While this involves one global power house, in this case America, other countries are stuck in a position of fending on their own and struggle to compete. America takes advantage of this, especially the big companies that are American. A basic example of this would be Apple designing their phones in California, assembling them in China and the importing them all over the world. It is even deeper than that, because the materials from this phone are coming from developed countries for the most part. The company Apple, has a larger GDP than most countries. This shows how much is invested into our own goods but the people who build these products in developed countries are left with nothing. It shows how greed is the major reasons why global poverty has not ended yet, we extract and then move on.

Statistics illustrates most promising supplying countries of industrial brewery machinery in Croatia from 2007 to 2024.