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Land supply in China is planned by governments, and the supply ratios of various types of land are in relatively rigid administrative control. This paper constructs a DSGE model to study the relationship between land supply marketization in China and economic fluctuations. Moreover, this paper evaluates the social welfare gains from land marketization. We document that the government's land planning constraint impacts consumption and social welfare through the land price and final output, causing resource misallocation losses in aggregate investment and output. Quantitatively, the optimal upper limit of industrial land supply is about 40% to achieve the maximum social welfare. This paper stresses the necessity of revitalizing China's land market, and simultaneously speeding up the marketization of collectively operated construction land. [ABSTRACT FROM AUTHOR]

Copyright of Invest Journal of Sharia & Economic Law is the property of Invest Journal of Sharia & Economic Law and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Finally, in the last decade of the twentieth century, the other classes of derivatives were introduced: credit derivatives, catastrophe derivatives, weather derivatives and property derivatives. The development of the theory and practice of risk management is closely related to the emergence of different risks. The rules proposed by the Basel Committee initially covered credit risk, but then grew to include market risk, operational risk and liquidity risk. This refers in particular to equity derivatives, currency derivatives, interest rate derivatives and commodity derivatives in the form of options, futures, forwards and swaps. [Extracted from the article]

This paper seeks to provide a comprehensive analysis of the monetary theory of Jean-Baptiste Say with respect to the Austrian School. Reference is given to the historical context and methodology utilized by Say in his Treatise before pivoting to an examination of his writings on money and banking. Thorough documentation and analysis are undertaken on Say's views of the emergence and nature of money, monetary phenomena, the role of the state, and banking practices. Lastly, critiques of Say's Law are addressed within the context of Say's monetary theory in addition to various business cycle theories. Ultimately, this paper seeks to explain that while Say was not a complete Austrian, a comprehensive study of his monetary theory illuminates meaningful contributions and insights that reveal the Austrian School as the intellectual heir of Say's work. [ABSTRACT FROM AUTHOR]

In recent years, due to the rapid growth of the world's population, the demand for agricultural products and food is growing increasingly. Therefore, the agricultural supply chain optimization has been grabbed by researchers to reduce food security concerns. On the other hand, the production amount of farmers is affected by various factors, including environmental conditions. In this paper, a supply chain network is investigated by developing a Mixed-Integer Linear Programming (MILP) model to effectively improve economic objectives under uncertainty. Then, a scenario-based robust optimization approach is employed to deal with the uncertainty. One of the novelities of our paper is considering weather conditions and economic fluctuations in different scenarios. The effectiveness of the proposed mathematical model has been confirmed by a real case study of dates farms. Dates and its by-products have a significant role in GDP, job creation, export, and the creation of various packaging and processing. Moreover, three meta-heuristic algorithms including Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), and a hybrid algorithm based on them (WOA–PSO) are adapted to deal with the NP-hardness of the problems. Moreover, the parameters of the proposed algorithms are improved by the Taguchi method, and to achieve more exact measurements, sensitivity analysis is performed. Finally, the numerical results confirmed that the accuracy of the hybrid algorithm was between 1.9 and 2.8%. Therefore, this approach could be practical and efficient for solving large-sized problems. The obtained outcomes demonstrated that the planned model provides tactical considerations for the related managers. [ABSTRACT FROM AUTHOR]

With the occurrence of the global financial crisis in 2008, the U.S. unconventional monetary policy affected the Chinese market. Based on a monthly data sample from 2008M1 to 2015M12, in this paper we identify U.S. and Chinese monetary policy shocks by using a structural vector autoregression (SVAR) model with multi-external instrumental variables along with principal component analysis (PCA) combined with high-frequency financial market data. The empirical results show that the unconventional monetary policies had a negative effect on China's inflation and output due to the signal effect, and China's stock and commodity markets increased in the short term. During the same period, China's monetary policy had a greater impact on the domestic economy and financial markets. The conclusion of this paper provides a significant reference for relevant departments to make decisions amidst the new wave of unconventional U.S. monetary policies due to the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to estimate a statistical model of the country risk determination as represented by the country price earnings ratio (PE) to identify potentially mispriced countries. It uses the gross domestic product (GDP) growth rate and a dummy indicator for market-related events (i.e. financial crises), both approximating the business cycle. The model is used to compare a major Asian country's (i.e. Japan) risk with Western countries' risk. Design/methodology/approach: The model used finance variables such as the systemic, non-diversifiable, risk and foreign direct investments to characterize any country risk. A random effects model with panel data estimated the effects of macroeconomic and financial variables on PE. The simultaneity problem was checked using two stage least squares and some lagged independent variables. Findings: The results explained to investors the country risk contributing factors: PE was positively correlated with variables that may increase dividends and market risk premia similar to GDP growth rates and total risk and negatively correlated with variables that increase market risk, namely, nominal risk-free interest rates and financial crises. Japan's PE seemed to exceed most of the Western countries considered here, implying lower risks, lower interest rates and higher growth in the major Asian country Japan. Originality/value: This paper focuses on the effectiveness of country risk measures in predicting periods of intense instability, similar to financial crises. This study contributes a model to measure market risk premium, using PE (or inversely, the earnings yield) as a proxy variable. Investors can use this risk measure in picking less risky stocks to include in their portfolio, calling for liberalizing Asian countries' financial markets to improve their stock market capitalization. [ABSTRACT FROM AUTHOR]

The current situation of the Romanian economy must be understood beginning from the analysis of the main measures of fiscal-budgetary policy applied over the last years by the public authority. In general, the Romanian fiscal policy (before and after accession) was procyclical. However, we continue by presenting some of its characteristics for the past years when we underwent the last ascending phase of the economic cycle. Actually, Romania's GDP exceeded constantly the potential level, and the demand surplus became predominant, generating inflationary pressures. Maintaining the expansionist level of the fiscal policy, in the conditions of a positive deviation of GDP, as of 2017, and opting-out regarding the structural deficit target contributed to affecting the stability of public finances, on short-and medium-term. Romania entered into an extremely difficult economic context, generated by the pandemic, with an extremely narrow fiscal space which limited a lot the possibilities of combating the effects of the pandemic. In this paper we analyzed a period limited to the year 2020, because we consider this time as marking the end of an economic cycle in a period of peace and economic calm, as another is about to begin based on the new realities. [ABSTRACT FROM AUTHOR]

Research background: The business cycle (BC) approaches have found extensive use in economic analysis and forecasting. Especially in the last 40 years, various modern BC models have been proposed and have experienced rapid development. However, there are no recent studies that provide a systematic review of the publications on this topic. Purpose of the article: This paper aims to comprehensively review publications of BC approaches based on the cause, nature and methods of measurement BC, with the goal of identifying the current research states, research gaps and future trends of BC approaches. Methods: A systematic literature review of BC approaches is conducted by qualitatively introducing the cause and the nature of BCs and quantitatively analyzing the methods of measurement BCs. We selected 206 articles related to BC approaches from the WoS Core Collection and Google Scholar database, spanning the years 1946 to 2022, for comprehensive statistical and content analysis. The statistical analysis presents the distribution of publication years, the most popular journals and the highly cited publications. The content analysis classifies the selected publications into 6 categories based on methods of measurement BCs, and the theory, technique and applications of each category are analyzed in detail. Findings & value added: The analysis results indicate that BC approaches have progressively evolved in sophistication and have found widespread application in decomposing trends within economic time series, quantifying the nature of business cycles, and elucidating the causes and transmission mechanisms underlying them. This review paper provides current states, research challenges and future directions in effectively employing BC approaches for empirical study. [ABSTRACT FROM AUTHOR]

This paper traces the evolution of John Maynard Keynes's theory of the business cycle from his early writings in 1913 to his policy prescriptions for the control of fluctuations in the early 1940s. The paper identifies six different 'theories' of business fluctuations. With different theoretical frameworks in a 30-year span, the driver of fluctuations, namely cyclical changes in expectations about future returns, remained substantially the same. The banking system also played a pivotal role throughout the different versions, by financing and influencing the behaviour of return expectations. There are four major changes in the evolution of Keynes's business cycle theories: (i) the saving–investment framework to understand changes in economic fluctuations; (ii) the capabilities of the banking system to moderate the business cycle; (iii) the effectiveness of monetary policy to fine tune the business cycle through the control of the short-term interest rate or credit conditions; and (iv) the role of a comprehensive fiscal policy and investment policy to attenuate fluctuations. Finally, we draw some conclusions about the present relevance of the policy mix Keynes promoted for ensuring macroeconomic stability. [ABSTRACT FROM AUTHOR]

This paper quantifies empirically the macroeconomic and financial effects of Climate Policy Risk (CPR) in Switzerland. To do so, I develop a new CPR index using text analysis techniques on a large dataset of Swiss media articles. The identification of CPR shocks is achieved by using narrative restrictions around events which are likely to have coincided with an increase in the probability of adopting tighter climate policies. I find that CPR shocks are associated with a significant decline in real GDP and a decline in firm-level CO2 emissions. Using firm-level equity price data and rolling linear panel regressions, I document that CPR is increasingly reflected in asset prices. I further find that CO2-intensive firms perform significantly worse than their greener counterparts following events which increased transition risk. The results are in line with recent theoretical contributions. [ABSTRACT FROM AUTHOR]

Research background: Unemployment is a huge topic for policymakers, scholars, and, in general, society. Historically, there have always been a lot of discussions about this phenomenon. It is already acknowledged that unemployment is closely related to economic activity: when the economy is growing, more people are employed, and when economic activity is low, employment decreases, and unemployment rises. This relation is well-researched in the framework of Okun's law. However, it is far less known how this relationship holds if international economic relations are introduced. Thus, the motivation for the research was to examine the role of international trade and foreign direct investment (FDI) on the growthunemployment nexus. Purpose of the article: To assess how trade and FDI affect growth and gender-, age-, and educational attainment level-specific unemployment relationship and on what scale this effect varies over different business cycle phases. Methods: Scientific literature review, comparative analysis, and panel regression. Findings & value added: Given the lack of research examining what effect FDI and trade have on the growth-unemployment nexus, this paper estimates modified Okun's equation on the European Union (EU) countries (EU-28, by the composition of the EU until 31/01/2020) for the period from 2000 to 2019 while incorporating international aspects that can have an impact on this nexus. Also, this study develops a specification that can be useful to monitor the potentially different effects of FDI and trade on the growth-unemployment nexus during different business cycle phases. The estimations of the panel regression for unemployment disaggregated by age, gender and education level has showed that import, export, inward FDI, and outward FDI have a negative effect on the growth-unemployment nexus. It means that with an increase in the intensity of international economic relations, the influence of gross domestic product (GDP) growth on unemployment becomes less significant. Thus, the effectiveness of expansionary fiscal policy to reduce unemployment becomes less effective in more open economies, which in the case of the EU are the smallest member states with relatively small domestic markets. [ABSTRACT FROM AUTHOR]

Due to the complex and dynamic atmosphere in the construction sector, different types of challenges are faced by project managers (PMs). These challenges potentially have negative impacts on the PM's managerial performance, which mostly leads to budget and schedule contingencies. In this vein, scrutinizing the main challenges in a construction project and identifying the cause-and-effect relationships among these challenges is a crucially important process. In the literature, a considerable number of papers have tried to determine construction PM challenges, mainly using statistical methods. These methods do not consider the cause-and-effect relationship among variables. To enhance the existing methods, this paper applies social network analysis (SNA) principles in order to rank a group of variables based on cause-and-effect relationships. To demonstrate the proposed idea, a data set is constructed that includes different types of challenges acquired from the literature comprehended with the forward-chaining approach. In total, 49 critical challenges were identified and subsequently categorized into 12 groups. Two questionnaires were designed to assist in ranking the challenges. 108 construction experts and 20 panelists participated in this study, and the acquired data were used to evaluate the proposed SNA-based method. By applying the proposed method to the obtained data, a complex weighted and directed network is constructed and examined by three metrics: weighted in-degree centrality, betweenness centrality, and closeness centrality. The results revealed that poor planning, contractors'/subcontractors' financial difficulties, and poor decision making are the main challenges that occur in the construction environment. Moreover, it was figured out that considering the cause-and-effect relationship among variables resulted in a highly different ranking of challenges, much closer to the real situation. This model could be used in quantitative-analytical research conducted in the construction project knowledge area in order to obtain more interpretable answers. Due to the complex and dynamic atmosphere in the construction sector, different types of challenges are faced by project managers (PMs). These challenges potentially have negative impacts on the PM's managerial performance, which mostly lead to time and cost overruns. In this vein, scrutinizing the main challenges in a construction project and identifying the cause-and-effect relationships among these challenges is a crucially important process. In this research, comprehensive scientific efforts were made in order to rank the main PMs' challenges in the construction sector, especially in developing countries. For this purpose, cause-and-effect relationships among variables were considered. By using different questionnaires as well as forming different focus groups and interviewing different experts, we found that the main top 10 challenges in the construction sector are: poor planning, contractors'/subcontractors' financial difficulties, poor decision making, time pressure, rework, stressful atmosphere, design alteration (even after execution), workforce turnover, fluctuation rate and economic instability, and inappropriate and unrealistic scheduling. [ABSTRACT FROM AUTHOR]

This paper presents the bibliometrics of a Keynesian and neoclassical discussion about the multiplier–accelerator effect. Having its oldest roots in the 1930s, there was a special emphasis in the 1960s and 1970s on discussions regarding the dependence of current investment on economic growth (the accelerator effect). Through a bibliometric analysis, we also consider the Hicks–Samuelson contribution, also known as the multiplier–accelerator model. We identified, among other things, the most relevant authors on the topics, the economic areas that have been contributed to the most through keyword analysis, and the most notable contributions through citation analysis. We concluded that several areas in economics have taken advantage of the discussion around the multiplier–accelerator effect, especially the discussion on the business cycle, structural dynamics, and public finance. [ABSTRACT FROM AUTHOR]

This study extends the concept of granularity from firms to cities, examining how large cities influence national economic dynamics beyond their relative size. By applying Zipf's law, which describes the power law distribution of city sizes, we investigate the interplay between granularity and business cycles. Our aim is to test the granular hypothesis that large cities have a significant impact on the business cycle beyond their relative size. We analyze data from American and Brazilian cities between 2003 and 2019 assessing the granular residuals and their explanatory power. Our findings reveal that in the United States, the granular city size is three metropolitan areas or five counties when redefined. In Brazil, it equates to three municipalities. These results emphasize the substantial role large cities play in national economic fluctuations, suggesting that policy interventions that target infrastructure, education, and innovation in major urban centers could have widespread economic benefits. This paper's contribution to the literature is to highlight a spatial component of granularity not considered so far. [ABSTRACT FROM AUTHOR]

Increasing economic integration and global synchronization can be key for countries aiming to catch up in GDP per capita terms. Little attention has hitherto been placed in synchronization as determinant of convergence. In this paper we estimate the effect of economic globalization and synchronization on income convergence for a sample of 89 developed and developing countries in the period 1970–2015. We use a dynamic factor model and panel data techniques to undertake the objectives of the paper. We show that synchronized countries (those correlated with the factor) exhibit a higher response on GDP per capita growth with variations on the global business cycle. This implies that synchronization improves growth for that group in global expansionary phases, but also implies risks during global recessions. On the contrary, the effect on growth of an economic globalization index is less relevant for synchronized countries than for asynchronized countries. The latter result implies that asynchronized countries can benefit more increasing their levels of economic globalization. [ABSTRACT FROM AUTHOR]

In financial asset allocation, enterprises adjust their investment in R&D innovation according to their motives and the external environment. Based on a review of the literature related to enterprise financialization and R&D innovation, this paper proposes research hypotheses through theoretical analysis first; then, taking China's A-share non-financial listed companies from 2010 to 2019 as research objects, this paper explores the relationship between enterprise financialization and R&D innovation with a quantile panel data model; further, the heterogeneous relationship between the two under different business cycle phases is empirically analyzed. The following conclusions are drawn. First, there is a dynamic relationship between enterprise financialization and R&D innovation, varying with different financing constraints. Second, the dynamic relationship between enterprise financialization and R&D innovation stems from the motivation difference in enterprise asset allocation. Third, there are significant differences in the dynamic relationship at different business cycle phases. [ABSTRACT FROM AUTHOR]

This paper aims to examine the importance of financial intermediation in economic activity. We also explore the effects of monetary factors and financial frictions on the relationship between financial intermediation and economic growth, the drivers of business cycles, and how shocks spread through the intermediation process. Financial intermediaries improve fund allocation, minimize monitoring costs, minimize liquidity risk, simplify risk management, and facilitate portfolio diversification and resource allocation to more productive activities. In addition, financial intermediaries collect and analyze information about investment projects, allocating resources and managing information more efficiently than individual investors. We conclude that financial intermediation is significant for economic growth. In addition, we show that financial market frictions can amplify exogenous shocks, affecting investment, economic growth rates, and macroeconomic stability. Reducing financial frictions through intermediation is crucial. [ABSTRACT FROM AUTHOR]

Changes in interest rates, inflation, and exchange rates are the main components of macroeconomic risks (financial risks) in projects evaluation. However, the conduct of monetary policy as well as its impact on the economic environment is seldom considered as an important component of macroeconomic risks. In this paper, we offer a simple framework to analyze the conduct of monetary policy. We examine the stabilizing properties of monetary policy, its impact, and the parallels in the monetary policy approaches taken in the Czech Republic, Hungary, and Poland until the pandemic. We provide a simple theoretical background to motivate the main elements of the debate and the choice of policy strategy. We then rationalize the adoption of a form of flexible inflation targeting (FIT). It is characterized by an explicit concern over exchange rates. The empirical evidence, consisting of calibrated and extended Taylor rules, together with local projections estimates, suggests that monetary policy has been practiced with considerable flexibility by all three central banks and has contributed to business cycle stabilization in the region. Most notably, the exchange rate plays an important role in the conduct of monetary policy. [ABSTRACT FROM AUTHOR]

This paper attempts to find out what is the role of competitive environment in shaping the sensitivity of growth in banking to the business cycle. To answer this question, we apply a large set of individual bank level data including over 8000 banks operating in more than 100 countries. This study uses the growth of assets, loans, deposits and leverage as proxies of bank growth and Lerner index as a proxy for the competitive environment. The analysis shows that decreased competition is associated with increased procyclicality of bank growth. However, in a perfectly competitive environment the growth turns out to be countercyclical. This effect differs between high- and low-income countries. A perfectly competitive environment is associated with countercyclical growth in high-income countries. The opposite result is found for low-income countries. Our results for Central Eastern European countries show that increased competition is associated with enhanced procyclicality of growth. [ABSTRACT FROM AUTHOR]

Research background: The globalization trend has inevitably enhanced the connectivity of global financial markets, making the cyclicality of financial activities and the spread of market imbalances have received widespread attention, especially after the global financial crisis. Purpose of the article: To reduce the negative effects of the contagiousness of the financial cycles, it is necessary to study the persistence of financial cycles and carve out the total connectedness, spillover paths, and sources of risks on a global scale. In addition, understanding the relationship between the financial cycle and economic development is an important way to prevent financial crises. Methods: This paper adopts the nonlinear smoothing transition autoregressive (STAR) model to extract cyclical and phase characteristics of financial cycles based on 24 countries during 1971Q1-2015Q4, covering developed and developing countries, the Americas, Europe, and Asia regions. In addition, the frequency connectedness approach is used to measure the connectedness of financial cycles and the relationship between the global financial cycle and the global economy. Findings & value added: The analysis reveals that aggregate financial cycles persist for 13.3 years for smoothed and 8.7 years for unsmoothed on average. The national financial cycles are asynchronous and exhibit more prolonged expansions and faster contractions. The connectedness of financial cycles is highly correlated with systemic crises and contributes to the persistence and harmfulness of shocks. It is mainly driven by short-term components and exhibits more pronounced interconnectedness within regions than across regions. During the financial crisis, the global financial cycle movements precede and are longer than the business fluctuations. Based on the study, some policy implications are presented. This paper emphasizes the impact of systemic crises on the persistence of financial cycles and their connectedness, which contributes to refining research related to the coping mechanisms of financial crises. [ABSTRACT FROM AUTHOR]

Copyright of Canadian Geographer is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Although the port industry is very important in the Korean economy, there are few literature studies that shed light on the macroeconomic implications of the business cycles in this industry. This paper examines the roles played by foreign economic factors in the business cycle in the Korean port industry. Specifically, it aims to estimate the impulse response of the seaborne freight volume in the port industry due to the shocks of the foreign economy and analyze the contributions of each shock considered on the variation in the freight volume. The structural FAVAR (SFAVAR) model was employed to extract the unobserved foreign economic factors. This paper estimates the four foreign economic factors and the parameters of the model using the one-step Bayesian Gibbs sampling method. The findings of this study show that foreign economic activity statistically affects the freight volume of the Korean ports. Specifically, the shocks to the foreign real economic activity increased freight transportation for nearly one year. Following the world inflation shocks, the freight transportation was enhanced. However, this impact disappeared after a year. Similarly, the rise in global liquidity was shown to encourage transportation activity; nevertheless, this activity declined after five quarters. Moreover, the increase in the world interest rates exerted a negative effect on the volume of transportation. Furthermore, the variance decomposition analysis shows that 49.2% of the variation in the transportation volume could be attributed to foreign economic activity. This analysis can contribute to drawing useful implications in establishing the port industry policy in response to the change in the economic environment such as the foreign economy. [ABSTRACT FROM AUTHOR]

Purpose: This paper examines disemployment effects of minimum wages during the period 2002–2010. Design/methodology/approach: The authors employ the discontinuity design. Findings: The authors find that minimum wages had a significant negative impact on teen employment before the Great Recession. During the Great Recession, the disemployment effects of minimum wages were insignificant. The finding is consistent with the evolution of firms' market power during the business cycle. Originality/value: The authors attempt to reconcile the debate about the effects of minimum wages on US employment. [ABSTRACT FROM AUTHOR]

The aim of this paper is to report students' perceptions on whether the use of accounting software enhances their understanding of the accounting cycle, and improves their information technology skills. Kolb's experiential learning cycle is used to argue that offering a concrete learning experience increases effective learning. The study uses survey research to determine students' perspectives of the usefulness of using accounting software in enhancing their understanding of the accounting cycle in a real business environment. The results show that students perceived the accounting example they used in the accounting software training to have some benefits in helping their understanding of the accounting cycle, and that it had improved their information technology skills. This paper adds to extant literature, where the accounting literature on information technology use in teaching accounting is relatively scarce. The findings are useful to teaching faculty, who may be considering adding a more practical element to their teaching. [ABSTRACT FROM AUTHOR]

In this paper, we introduce the delayed-advanced Kaldorian business cycle model and consider how time-delay and time-advance affect economic fluctuations. Given the asymptotic stability of the original Kaldor model, we first show that an approximated Kaldor model by a Taylor series expansion can accurately describe the dynamics of the delayed Kaldor model. We also confirm that the delay has a destabilizing effect. When time-delay is replaced with time-advance, we have an advanced Kaldor model. Taking the advanced capital stock formulation, we derive the stability conditions and find that the time-advance has a stabilizing effect. Lastly, we examine these opposite-signed effects in a modified delayed-advanced model. [ABSTRACT FROM AUTHOR]

This paper for the first time calculates the historical regional GDP (rGDP) for an Eastern European country by using the methodology of Frank Geary and Tom Stark [2002. Examining Ireland's post-famine economic growth performance. The Economic Journal, 112(482):919–935]. The estimates cover the period 1925–1935 and are made for the historical Latvian regions Kurzeme, Vidzeme, Zemgale, Latgale, and Riga as well as within the contemporary NUTS3 units. The results are compared with the GDP disparity of the NUTS3 regions of the restored independent Latvia (2001–2016). The main findings are that the sigma divergence remained stable. Direct comparisons of regional growth rates indicate that economically more advanced regions were more sensitive to business cycles than less advanced regions. Hence, sigma divergence seems to prevail in times of high growth and convergence in times of low growth. [ABSTRACT FROM AUTHOR]

Canada's universities each receive an annual operating grant from their provincial government to partially finance operating expenses. This paper estimates the sensitivity of provincial operating grants to the business cycle by disentangling the effects of procyclical income on government revenue and the countercyclical effect on student demand by utilizing an economic regression model composed of three equations. Our panel data include the total real operating grant paid to all universities within a province, total student enrolment, real per capita government revenue, and real per capita gross domestic product for Canada's ten provinces over the 1992–2019 sample period. The results confirm that real per capita government revenues are procyclical and that full-time equivalent student enrolments are counter-cyclical. The total real operating grant is only weakly associated with cyclical changes in provincial government revenue. Instead, the total real operating grant is mainly determined by countercyclical changes in student demand. This partially offsets the potential reduction in funding to universities during an economic downturn. Provincial governments in Canada can smooth the total allocation over the business cycle by adjusting other expenditures and using debt financing. Our results suggest they do this to some extent, but not enough to avoid a net reduction in real operating grants during an economic downturn. [ABSTRACT FROM AUTHOR]

In this paper, we compare the dynamics of the growth rates of the original Divisia monetary aggregates, the credit card-augmented Divisia monetary aggregates, and the credit card-augmented Divisia inside monetary aggregates. This analysis is based on the methods of recurrence plots, recurrence quantification analysis, and visual boundary recurrence plots which are phase space methods designed to depict the underlying dynamics of the system under study. We identify the events that affected Divisia money growth and point out the differences among the different Divisia monetary aggregates based on the recurrence and visual boundary recurrence plots. We argue that the broad Divisia monetary aggregates could be used for monetary policy and business cycle analysis as they are exhibiting less fluctuation compared to the narrow Divisia monetary aggregates. They could positively affect policy decisions regarding environmental choices and sustainability. We also point out the changes in the monetary dynamics locating the 2008 global financial crisis and the Covid-19 pandemic. [ABSTRACT FROM AUTHOR]

This paper uses panel data for Canada from 1976 to 2018, across 10 provinces, to reassess the relationship between mortality rates and economic fluctuations. The key contribution of our paper lies in examining the extent to which this relationship is driven by the employment rate (extensive margin) versus average hours worked (intensive margin). We find evidence of procyclical mortality for females at the aggregate level; aggregate male mortality remains largely unaffected by economic fluctuations. Our findings also reveal temporal heterogeneity, as the extensive margin becomes the driving force for female mortality rates during the more recent period (1990 onwards). These findings remain robust when accounting for personal income and pollution. Finally, we find some support for a procyclical relationship for individuals in the working age groups, while mortality exhibits a countercyclical pattern for children (age 0 to 14) and the elderly (age 65 and above). [ABSTRACT FROM AUTHOR]

Highly interconnected global supply chains make countries vulnerable to supply chain disruptions. This paper estimates the macroeconomic effects of global supply chain shocks for the euro area. Our empirical model combines business cycle variables with data from international container trade. Using a novel identification scheme, we augment conventional sign restrictions on the impulse responses by narrative information about three episodes: the Tohoku earthquake ¯ in 2011, the Suez Canal obstruction in 2021, and the Shanghai backlog in 2022. We show that a global supply chain shock causes a drop in euro area real economic activity and a strong increase in consumer prices. Over a horizon of one year, the global supply chain shock explains about 30% of inflation dynamics. We also use regional data on supply chain pressure to isolate shocks originating in China. Our results show that supply chain disruptions originating in China are an important driver for unexpected movements in industrial production, while disruptions originating outside China are an especially important driver for the dynamics of consumer prices. [ABSTRACT FROM AUTHOR]

The existence of fluctuations is part of the narrative, especially when there is a slowdown (or worse, a contraction) in economic activity. The presence of long waves with a period of about 50 years as proposed by Kondratieff is one of the most controversial and fascinating theories about economic cycles. This paper analyses both the original Kondratieff data (from which the hypothesis started) and a dataset that includes GDP per capita for several significant countries. By applying the wavelet analysis (WA), the main objective of the paper is to understand whether it is plausible to support the existence of periodic fluctuations consistent with long cycles theory. The outcomes for Kondratieff's original dataset do not show the presence of a coherent periodicity for most cases. The same conclusion can be drawn for all the GDP per capita series. [ABSTRACT FROM AUTHOR]

The paper introduces financial intermediation into the New Keynesian model with rare disasters, analyzes the impacts of rare disaster shock on the macro economy, and compares the effects of different economic recovery policies. Based on the numerical analysis, this study finds that: (1) rare disaster risk shock retains a negative relationship with consumption levels, and banks increase their leverage ratios to cause risk accumulation; (2) refinance policy and consumer coupon policy can alleviate economic fluctuations caused by disaster risks from various channels; (3) the consumer coupon policy is conducive to reducing the average social welfare loss caused by disaster risks. It is believed that the establishment of a sustainable economic stimulus mechanism to fundamentally reduce the impact of catastrophic events on the macro economy and achieve economic recovery in a short period are essential issues that should be urgently addressed by countries. [ABSTRACT FROM AUTHOR]

The aim of this paper is to examine the role of the payments from the European Cohesion Policy (ECP) in the business cycle synchronisation of the EU–28 countries in the time period 2000–2016. The emphasis is especially placed on the Central and Eastern European (CEE) countries, given their status as the biggest ECP recipients; we investigate whether the ECP can serve as an instrument to promote their synchronisation which presents one of the prerequisites for the adoption of common monetary policy in the Economic and Monetary Union (EMU). By applying a panel instrumental variables estimation, our results suggest that the ECP provides a positive externality regarding increased synchronicity in the EMU, suggesting that the ECP should be further strengthened to foster business synchronicity in the Euro Area. Further analysis reveals that the systematically identified driving forces are the European Regional Development Fund (ERDF) and the Cohesion Fund (CF). The current European recovery plan 'Next Generation EU' could, therefore, have a promoting effect on the EMU's monetary policy if it is designed as an additional structural investment fund promoting financial and trade integration. [ABSTRACT FROM AUTHOR]

Poverty reduction is an important driving force for the global realization of the United Nations 2030 Sustainable Development Goals and the building of a global community with a shared future for mankind. This paper takes the Belt and Road Initiative (BRI) as a quasi-natural experiment. Based on the panel data of 134 countries in the world from 2000 to 2018, this paper uses the difference-in-difference (DID) model to examine the impact of the BRI on poverty reduction in countries along the route and to study its internal mechanism from the dual perspectives of trade openness and investment openness. The results show that (1) the BRI can significantly reduce the incidence of poverty with the impact coefficient stable at −0.26, and the empirical conclusion has passed the parallel test, placebo test, and instrumental variable test; (2) the mediating effect test model shows that the BRI can achieve poverty reduction through the dual openness of trade and investment, and the intermediary effect of trade openness is greater than investment openness; and (3) from the perspective of heterogeneity analysis, geographically, the BRI has a slightly higher role in promoting poverty reduction in landlocked countries than in coastal countries. In terms of economic location, the effect of poverty reduction has a certain "pro-poverty" characteristic, that is, the BRI promotes poverty reduction in low- and middle-income countries far more than other types of income countries. Therefore, we believe that the continuous deepening of the BRI high-quality construction and the strengthening of cooperation among countries along the route will play a key role in promoting the international cycle of trade, investment, and other factors, as well as the cause of poverty reduction in the region and the world. [ABSTRACT FROM AUTHOR]

Motivated by the observation that land supplied by the Chinese government is highly counter-cyclical with GDP fluctuations, this paper constructs a DSGE model to study the relationship between China's land supply policy and economic fluctuations, and further evaluate the welfare effects. By way of counterfactual exercises, this paper finds that endogenous land supply policy has "direct effect (production input channel)" and "indirect effect (intermediate goods channel)" on GDP fluctuations, and both tend to dampen economic fluctuations in China's macroeconomy. Specifically, GDP fluctuations increase by 63.35% without the "indirect effect", increase by 66.75% without the "direct effect", and increase by 66.79% without both effects. In addition, endogenous land supply policy can increase social welfare by about 1.38%. Verifying by the stylized facts in China, this paper argues that endogenous land supply is an efficient macro-control policy to smooth the economy and increase social welfare. [ABSTRACT FROM AUTHOR]

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This paper investigates the relationship between the gross value added (GVA) of Greece's agricultural sector and the GVAs of the other sectors. The research considers both the relationship between value levels and the cycles of GVAs. Dynamic analysis using ARDL modeling shows that there is no cointegration between agricultural GVA and the other GVAs. However, there is an estimated cointegrating relationship between business cycles of agriculture and those of the rest of the economic sectors, with the cycles of services being the significant variable. Moreover, econometric analysis using NARDL modeling shows that there is a cointegrating relationship between the levels of GVAs as well, when asymmetricity—with respect to GVA changes of the services sector—is introduced. [ABSTRACT FROM AUTHOR]

This paper presents a simple and tractable equilibrium model, where collateralized credit emerges under limited commitment. We show that even if there is no time variation in fundamentals, credit trade can fluctuate endogenously over time. In our theory, credit fragilities are associated with endogenous fluctuations in trade probabilities, collateral values, and lending volumes. [ABSTRACT FROM AUTHOR]

This article discusses the relationship between health care and the macroeconomy, which has gained increasing attention in recent years. The article highlights the importance of understanding the causes and implications of rising health care expenditures, as well as the impact of health on macroeconomic performance. It also explores various topics related to health and the economy, such as the implications of health risks for consumption and wealth allocation, the role of health as a type of human capital, and the challenges posed by population aging and rising health spending. The article includes six papers that examine different aspects of the macroeconomics of health care and aging in various countries. [Extracted from the article]

The sustainability of the coking industry is supported by reasonable production profit and environmental quality requirements. The traditional measures substantially increased the related costs for enterprises to reach standards. This paper aims to develop a comprehensive cost combined environmental impact assessment method that is necessary for the analysis of wastewater treatment systems. Typical three coking wastewater treatment processes in China were evaluated. Results showed that eutrophication dominantly contributed to the overall environmental effect. Improving effluent quality could significantly reduce the total environmental impact. In terms of an economic perspective, the price of raw materials was the main factor that affected the operating cost of comprehensive treatment. Based on subsystem analysis, the pretreatment stage accounted for the majority of environmental and cost burdens, respectively reaching 64%-78% and 64%-86%. Optimizing the pretreatment process by enhancing the efficiency of high concentration raw material recovery and substituting toxic raw materials for extractant could reduce the environmental impact and economic cost by 43.8% and 57%, respectively, which was an effective way to improve the potential performance of coking wastewater treatment plants (WWTPs). [ABSTRACT FROM AUTHOR]

Heritage tourism in Egypt, differentiated by its distinctive ancient wonders and cultural prosperity, has faced numerous challenges through its history, with political unrest, economic fluctuations, and, most recently, the global COVID-19 pandemic. This research paper investigates the dynamic interplay between planned and adopted resilience within the hotel sector in Egyptian heritage sites and their consequential effects on both social and economic sustainability. A quantitative research method was employed to empirically explore these dynamics. A structured questionnaire was distributed to 550 top and middle managers in hotels located in heritage sites, capturing insights into their perspectives on planned and adopted resilience. The collected data underwent rigorous analysis utilizing "partial least squares structural equation modeling" (PLS-SEM), providing a robust foundation for drawing meaningful conclusions. Findings from the research underscore the necessity of aligning planned and adopted resilience to generate sustainable social and economic performance. The synthesis of planned and adopted resilience was revealed to be pivotal in generating sustainable social and economic performance for hotels. This synthesis catalyzes the hotels' ability to mitigate uncertainties, adjust to changing environment, and ensure long-term viability. This research might contribute to the current literature by suggesting industry-specific awareness for the reciprocal relationship between planned and adopted resilience in the hotel businesses and their combined influence on both sides of sustainability (social and economic). The findings provide actionable recommendations for hotel management, policymakers, and industry stakeholders to enhance resilience, foster social cohesion, and ensure the economic sustainability of heritage tourism in an everchanging environment. [ABSTRACT FROM AUTHOR]

Survey data can offer timely information on the current state of the economy and its short-term outlook. In this paper, we propose a "Swiss Economic Confidence Index" (SEC). This is a monthly indicator based on aggregating a selection of individual survey indicators, which we show to have favorable leading properties. Applying simple criteria, we select those surveys from a set of currently more than 250 sentiment indicators. We show that the SEC index provides useful signals on GDP growth in a number of real-time out-of-sample forecasting exercises. [ABSTRACT FROM AUTHOR]

This paper provides empirical evidence on predictable time variations in out-of-sample bond return predictability. Bond return predictability is associated with periods of high (low) economic activity (uncertainty), which implies that violations of the expectations hypothesis are state dependent and linked to features of the business cycle. These state dependencies in predictability, established by introducing a new multivariate test for equal conditional predictive ability, can be used in real time to improve out-of-sample bond risk premia estimates and investors' economic utility through a novel dynamic forecast combination scheme that uses predicted forecasting performance to identify the best set of methods to include in the combined forecast. Dynamically combined forecasts exhibit strong countercyclical behavior and peak during recessions. This paper was accepted by Lukas Schmid, finance. Funding: This work was supported by the Danish Council of Independent Research [Grants DFF 7024–00020B and DFF 9033–00003B] and the Danish Finance Institute. Supplemental Material: The data files and online appendices are available at https://doi.org/10.1287/mnsc.2023.4713. [ABSTRACT FROM AUTHOR]

In response to economic hurdles, several countries turn to devaluing their national currencies as a way to cope with economic difficulties. Such acts have a variety of effects on many industries, including real estate, which has led to multiple institutional and regulatory reformations aiming at minimising these effects. This paper uses a system thinking methodology that emphasises underpinning relationships among all entangled components to examine how such reforms affect minimising risks associated with currency devaluation on the real estate market. This paper uses this methodology beyond linear cause-effect analyses to consider interactions and interconnectedness in order to give some insights to gain: * The impact of the currency devaluation on the real estate market based on Egyptian recent situation. * The unintended consequences of government reforms on real estate market variables * Solution leverage points where to intervene in the system. * Holistic understanding which enables decision makers to see a wider picture and factors. Egypt has faced severe fluctuations in the economic climate, which has entailed a sharp devaluation of the currency three times between 2016 and 2023 (which could be considered a special aggressive case study between countries due to repetitiveness and effects). The effects of this devaluation have extended to all sectors, and the most important of these effects was severe challenges that faced the real estate market performance. The Real Estate market (REM) recently in Egypt has faced huge recession of transactions of the market. This research focuses on understanding the relations of reforms of the regulations which is designed to give a comprehensive overview of the government reforms of RE business, and how it has been interacting with the ramifications of those currency devaluation impacts. [ABSTRACT FROM AUTHOR]