Due to increasing inflation rates, economic growth has been slow in several countries worldwide, and some risk falling into recession. When asked about this, ** percent of respondents in South Korea believed that the country's economy had fallen into recession, and ** percent of respondents in Turkey did the same. In fact, South Korea's gross domestic product (GDP) growth rate increased by *** percent in the third quarter of 2023. Inflation increased rapidly around the world through 2022 and 2023, before it started falling in some countries in 2024.

According to a survey conducted among Hong Kong adults in May 2020, ** percent of respondents said that they were worried or very worried about an economic recession in Hong Kong. The purchasing managers index of Hong Kong 2020 dropped significantly, which indicated a serious plunge in economic activity.

The Long Depression was, by a large margin, the longest-lasting recession in U.S. history. It began in the U.S. with the Panic of 1873, and lasted for over five years. This depression was the largest in a series of recessions at the turn of the 20th century, which proved to be a period of overall stagnation as the U.S. financial markets failed to keep pace with industrialization and changes in monetary policy. Great Depression The Great Depression, however, is widely considered to have been the most severe recession in U.S. history. Following the Wall Street Crash in 1929, the country's economy collapsed, wages fell and a quarter of the workforce was unemployed. It would take almost four years for recovery to begin. Additionally, U.S. expansion and integration in international markets allowed the depression to become a global event, which became a major catalyst in the build up to the Second World War. Decreasing severity When comparing recessions before and after the Great Depression, they have generally become shorter and less frequent over time. Only three recessions in the latter period have lasted more than one year. Additionally, while there were 12 recessions between 1880 and 1920, there were only six recessions between 1980 and 2020. The most severe recession in recent years was the financial crisis of 2007 (known as the Great Recession), where irresponsible lending policies and lack of government regulation allowed for a property bubble to develop and become detached from the economy over time, this eventually became untenable and the bubble burst. Although the causes of both the Great Depression and Great Recession were similar in many aspects, economists have been able to use historical evidence to try and predict, prevent, or limit the impact of future recessions.

† Starred P-values represent comparisons of means during and after the recession compared to pre-recession. The two columns of p-values represent the results of Bonferroni tests, which are used to test the significant associations of the “during, before, and after” recession periods with the categorical variables for females and males, respectively (NS = non-significant).* p ≤ 0.05;** p ≤ 0.01;*** p ≤ 0.001Weighted summary statistics of the sample before, during, and after the recession†.

Data underlying the report of a study that assesses and quantifes the impacts of the financial crisis and subsequent global economic recession on the growth and performance of UK SME employers. Analyses existing data from two previous survey sources on SME employers in the pre-recession and recessionary periods. Covers how the problems in the banking sector have affected the supply of finance to the SME sector, and whether this has depressed business performance and investment. Looks at the impact of the recession has been more serious for particular types of entrepreneurs and businesses.

Goldman Sachs recommends gold as a strategic asset amid recession fears, with potential for prices to exceed $3,700 due to economic uncertainties and central bank diversification.

United States banking professionals believed in Q2 2022 that a Fed overcorrection was a probable cause for a recession. ** percent of the respondents believed that the too fast and too highly increasing Fed rates would result in an economic recession. ** percent of the respondents predicted that a recession would occur because of supply chain problems, while **** percent mentioned the conflict in Eastern Europe as the main cause for a possible recession.

According to Cognitive Market Research, the global AI Sensor Market with Recession Market size is USD 2.8 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 38.6% from 2024 to 2031. Market Dynamics of AI Sensor Market with Recession Market

Key Drivers for AI Sensor Market with Recession Market

Advancements in AI and Machine Learning: Rapid advances in artificial intelligence and machine learning are boosting the use of Al sensors. Algorithms are getting increasingly sophisticated and capable of handling complicated data from sensors, enabling real-time decision-making and predictive analytics. These developments allow Al sensors to detect patterns, anomalies, and trends in data streams, making them useful in applications such as picture recognition, natural language processing, and predictive maintenance. For instance, in manufacturing, Al sensors may detect faults in real time, improving quality control and lowering waste. Al sensors also improve the capability of autonomous systems and robots. They can perceive their surroundings, adjust to changing circumstances, and make sound decisions. This is especially crucial in industries like agriculture, where autonomous drones equipped with Al sensors can check crop health, detect pest infestations, and optimize pesticide use. Security and Surveillance applications

Key Restraints for AI Sensor Market with Recession Market

Capital Spending Delays in Price-Sensitive Sectors: Businesses in a variety of sectors, including retail, consumer electronics, and the automobile industry, frequently postpone or abandon capital-intensive initiatives and technological advancements during recessions. This has a direct impact on the use of AI sensors in consumer electronics, smart factories, and new goods, momentarily reducing market expansion.

Semiconductor shortages and supply chain disruptions: Complex semiconductor components are necessary for AI sensors, and supply chain bottlenecks are frequently made worse by global economic downturns. Delays in shipping, reduced manufacturing capacity, and geopolitical unrest can all affect sensor production and lengthen lead times, making it more difficult for industries to deploy sensors on time.

Key Trends for AI Sensor Market with Recession Market

Transition to Low-Cost Advanced AI Sensors: Industries are turning to edge AI sensors that analyze data locally in order to deal with financial restrictions. This eliminates the need for expensive cloud infrastructure and latency problems. Due to their simplicity of deployment and reduced total cost of ownership, small, energy-efficient sensors with on-chip AI are becoming more and more popular. Growing Utilization in Energy Efficiency and Predictive Maintenance: Operational efficiency is a top priority for financially stressed organizations, and AI sensors are essential for energy optimization and predictive maintenance. Industrial equipment with sensors built in can anticipate malfunctions, prolong the life of machinery, and use less electricity, all of which can result in quantifiable cost savings during recessions. Introduction of the AI Sensor Market with Recession Market

Al sensors are also improving the capabilities of autonomous systems and robots. They can perceive their surroundings, adjust to changing conditions, and make sound decisions. This is especially crucial in industries like agriculture, where autonomous drones equipped with Al sensors can check crop health, detect pest infestations, and optimize pesticide use. Also, increased demand for life-saving healthcare equipment and self-driving capabilities in new electric vehicles are expected to fuel growth. The global shift towards digitization is expected to boost growth even further.

• p ≤ 0.05;** p ≤ 0.01;*** p ≤ 0.001Multivariate analyses of the associations between recession indicators (during and after) and mental health outcomes for females.

BackgroundPsychological distress can be exacerbated by micro (personal) and macro (societal) worries, especially during challenging times. Exploration of this relationship in people with chronic kidney disease is limited.Objectives(1) To identify the types and levels of worries concerning people with chronic kidney disease in the context of the COVID-19 pandemic; (2) to explore the association of worries with psychological distress including depression, stress, anxiety, and health anxiety.Design and participantsA cross-sectional online survey collected data at two time points (Autumn 2020, n = 528; Spring 2021, n = 241). Participants included kidney transplant recipients and people with non-dialysis dependent chronic kidney disease.MeasurementsThe survey included questions about worry taken from the World Health Organisation COVID-19 Survey, the Depression, Anxiety and Stress Scale, and the Short Health Anxiety Index. Data were analysed using descriptive statistics and multiple regression.ResultsWorries about loved ones’ health, the healthcare system becoming overloaded, losing a loved one, economic recession, and physical health were the highest rated concerns. Worrying about mental health was associated with higher depression, stress, anxiety, and health anxiety. Worrying about physical health was associated with anxiety and health anxiety. Worrying about losing a loved one was associated with health anxiety, and worrying about not being able to pay bills was associated with stress.ConclusionsPeople with kidney disease reported micro and macro worries associated with psychological distress during the COVID-19 pandemic. This study highlights factors that should be considered to improve the mental health and well-being of people with kidney disease.

• p ≤ 0.05;** p ≤ 0.01;*** p ≤ 0.001Multivariate analyses of the associations between recession indicators (during and after) and mental health outcomes for males.

This statistic shows public evaluation of who was to blame for the economic problems in each country as of 2012. 78 percent of respondents in Spain felt that it was the banks and financial institutions that were most to blame for the current economic problems in their own country as of 2012.

Rubber futures were trading around 126 USD cents /Kg, not far from an over two-year low of 117 USD cents/Kg scaled in late October /Kg, amid lingering concerns about global recession and supply chain issues. Persistent coronavirus-induced restrictions in top consumer China following record-high COVID-19 cases also added to worries about sluggish demand. Meanwhile, Toyota downgraded its Japanese FY2023 production forecast from 9.7 million units to 9.2 million units due to the parts shortage resulting from the spread of COVID-19 in its factories. The company also said it expects to build approximately 750,000 units in December, against previous guidance of 850,000. In the meantime, Japan's manufacturing activity contracted at the fastest pace in two years in November as demand worsened due to strong inflationary pressures.

. Historically, Rubber reached an all time high of 526.40 in February of 2011.

We use the yield curve to predict future GDP growth and recession probabilities. The spread between short- and long-term rates typically correlates with economic growth. Predications are calculated using a model developed by the Federal Reserve Bank of Cleveland. Released monthly.

Abstract (en): This survey was undertaken to assess consumer sentiment and buying plans, respondents' satisfaction with the appliances owned, and their opinions about the Cold War between the former Soviet Union and the West and its perceived effect on taxes and the economy, as well as their assessment of the possibility of an outbreak of a major world war in the near future. Open-ended questions were asked concerning evaluations and expectations about price changes, employment, tax reduction, recession, and the national business situation. Additional variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, as well as their appraisals of present market conditions for purchasing these items. Other variables probe respondents' satisfaction with their location, neighborhood, and living space, and their assessment of their financial status relative to the previous year. Information is also provided on savings. Demographic variables provide information on age, sex, race, marital status, education, occupation, and family income. All families living in continental United States dwelling units, exclusive of those on military reservations. One respondent from each family unit in the dwellings sampled, usually the head of the family, or the wife. The dwelling units were selected by area probability sampling from 48 primary sampling units. For each dwelling unit in the sample, an interview was sought with a respondent from the primary family and from each secondary family (if any). The head of the family (usually the husband) was the preferred respondent, but the wife could substitute if the head was not readily available. The codebook is provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

Gold prices fell by 3.58% on Monday due to global tariff concerns, yet remain up 16.77% since January amid economic uncertainty.

Explore the stability of gold prices amidst economic uncertainty in the U.S., despite slight dips and fluctuating market conditions.

Oil prices reach a four-year low due to U.S.-China trade tensions, impacting global commodities and raising recession fears.

Association between worries at T2 and depression, anxiety, stress and health anxiety at T2 (N = 224).

Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.