Explore the vast range of titles available.

Albania has experienced a rapid transition from a centrally planned economy to a mixed economy since the fall of communism in 1989. Policy changes, trade liberalization, and privatization have come about at a rapid pace, allowing foreign direct investment (FDI) and international trade to become key components of Albania's economy. Against this backdrop, this study investigates the relationships among FDI, trade, and economic growth in Albania. Annual time-series data were obtained from the World Bank. Then, the following econometric tests were performed on the variables representing FDI inflows, exports, and GDP as proxies for FDI, trade, and economic growth: the unit root test; the unit root test with a structural break; Johansen cointegration analysis; the error correction model; and the Granger causality test. The results revealed a long-term relationship between FDI, trade, and economic growth. The Granger causality tests found unidirectional causality. Economic growth brought about exports and FDI in the short term but not vice versa. In conclusion, policymakers need to design policies that promote technology-based, export-promoting FDI to meet the needs of the economy and develop specialized sectors that are competitive in the global market. Furthermore, the salient takeaway is that the penetration of export markets should be promoted as much as the furtherance of FDI.

This study analysed the dynamics of the international soybean market using econometric techniques and economic models to study the impacts of the US-China trade war. It considered the analysis of 'spatial' (horizontal) price transmission during an approximately ten-year period from September 2009 to May 2019 using monthly time-series data. The research focused on the leaders in the international soybean market, namely, China, the USA, the EU, Brazil and Argentina. Several econometric techniques were employed. The stationarity of the price time series was determined using the augmented Dickey-Fuller (ADF) unit root test. Structural breaks were inferred using the ADF test with a breaks test and a Bai-Perron multiple break test. The long-term relation/cointegration amongst the series was determined using the Johansen cointegration test (1988), with the previous breaks input as dummy variables. The direction of the causality was inferred using the Granger causality test (1969). The long-term and short-term causal relations were determined using the vector autoregression model (VAR) and the vector error correction model (VECM). The results showed a highly efficient and cointegrated market. The incidents of the trade war, as represented by tariffs and subsidies, had minor effects on the market efficacy, cointegration and price transmission. The arbitrage process of the studied market managed to get around the tariffs. In other words, there was no empirical evidence to support the claim that the law of one price (LOOP) did not hold.

Purpose One of the main theories regarding the relationship between government expenditure and gross domestic product (GDP) is Wagner's law. This law was developed in the late-19th century by Adolph Wagner (1835-1917), a prominent German economist, and depicts that an increase in government expenditure is a feature often associated with progressive states. This paper aims to examine the validity of Wagner's law in Egypt for 1960-2018. The relationship between real government expenditure and real GDP is tested using three versions of Wagner's law. Design/methodology/approach To test the validity of Wagner in Egypt, law time-series analysis is used. The methodology used in this paper is: unit-root tests for stationarity, Johansen cointegration approach, error-correction model and Granger causality. Findings The results provide strong evidence of long-term relationship between GDP and government expenditure. Moreover, the causal relationship is found to be bi-directional. Hence, this study provides support for Wagner's law in the examined context. Research limitations/implications It should be noted, however, that there are some limitations to this study. For instance, in this paper, the government's size was measured through government consumption expenditure rather than government expenditure due to data availability, which does not fully capture the government size. Moreover, the data available was limited and does not fully cover the earliest stages of industrialization and urbanization for Egypt. Furthermore, although time-series analysis provides a more contextualized results and conclusions, the obtained conclusions suffer from their limited generalizability. Originality/value This paper aims to specifically make a contribution to the empirical literature for Wagner's law, by testing the Egyptian data using time-series econometric techniques for the longest time period examined so far, which is 1960-2018.

The aim of this study is to characterize the relationship between food consumption and socio-demographic characteristics in several groups of individuals. This is achieved by capturing the quantity of food purchased in categories on a microeconomic level. The empirical analysis is approached through the estimation of (a) expanded generalized linear models, (b) quantile regression models, (c) quadratic almost ideal demand system models and (d) Deaton's (1988) approach. The results reveal that the composition of a household has a significant impact on the quantity of food consumed. In addition, price and income elasticities are estimated, confirming that the majority of food items are inelastic with respect to price and income except for meat. These findings can be used as a basis for considering food policy implications while evaluating the potential gains from applying specific policies.

In the twenty-first century, teaching practitioners in higher education (HE) have found themselves confronted with more challenges to help students engage in learning. Particularly, one of the main problems with the traditional lecture format to teach non-economists economics is that students tend to lack interest in the subject and therefore have a low level of engagement. Student response systems (i.e. \"clickers\") have been used in classes for about 20 years and become more popular on many college campuses. Many studies reveal that clicker technology offers great promise in increasing students' participation and engagement in lectures. Meanwhile, thanks to fast development of mobile technology, personal mobile devices can be integrated with clicker systems into teaching and learning with improved features. The programme we used and found as a very useful interactive teaching tool for learning is called Kahoot!. This paper offers a brief guidance on how to use Kahoot! to encourage active learning and engage non-economics majors in learning economics. Meanwhile, the existing relevant literature with regard to the use of clickers in HE is highlighted. In addition, the effectiveness of using Kahoot! in teaching economics to non-economists is evaluated by a student survey.

Blockchain can support the food supply chain in several aspects. Particularly, food traceability and trading across pre-existing contracts can make the supply chain fast, error-free, and support in detecting potential fraud. A proper algorithm, keeping in mind specific geographic, demographic, and additional essential parameters, would let the automated market maker (AMM) supply ample liquidity to pre-determined orders. AMMs are usually run by a set of sequential algorithms called a ‘smart contract’ (SM). Appropriate use of SM reduces food waste, contamination, extra or no delivery in due course, and, possibly most significantly, increases traceability. However, SM has definite vulnerabilities, making it less adaptable at times. We are investigating whether they are genuinely vulnerable during stressful periods or not. We considered seven SM platforms, namely, Fabric, Ethereum (ETH), Waves, NEM (XEM), Tezos (XTZ), Algorand (ALGO), and Stellar (XLM), as the proxies for food supply-chain-based smart contracts from 29 August 2021 to 5 October 2022. This period coincides with three stressed events: Delta (Covid II), Omicron (Covid III), and the Russian invasion of Ukraine. We found strong traces of risk transmission, comovement, and interdependence of SM return among the diversified SMs; however, the SMs focused on the food supply chain ended up as net receivers of shocks at both of the extreme tails. All these SMs share a stronger connection in both positive shocks (bullish) and negative shocks (bearish).

[...]the purpose of this special issue is to provide a comprehensive view of the women-environment relationship through presenting research papers that analyse this relationship from different angles. The finding of the paper on the positive effect of women on environmental quality in developing countries has a huge implication for women empowerment, gender bias reduction and directing government expenditure towards improving women’s education and health levels. [...]Buallay and Alhalwachi study the relationship between board gender diversity and environmental disclosure (ED), similar to Jibril et al., but in the banking sector.

The objective of this paper is to examine the Wagner’s law validity, and whether it can explain the U.K. public spending expansion for the period 1850–2010. According to Wagner’s Law, economic development is the key determinant to public sector growth. Accordingly, the public sector grows overproportionally compared to national income when economies develop. We test this hypothesis for the UK. The data covers a period in which the U.K. economy experienced increased economic growth, government spending and met most of the assumption of Wagner’s Law (industrialisation, urbanisation, increased population). Furthermore, the long data set ensures the reliability of our results in terms of statistical and economic conclusions. We apply unit root tests, unit root tests with structural breaks, cointegration techniques and the Granger causality test. Our results indicate a presence of a long run relationship between national income and government spending, while the causality is bi-directional, thus we find support for Wagner’s and Keynesian hypotheses.

This thesis consists of two parts. In the first part, we concentrate on the computation of Market Equilibria and settle the long-standing open problem regarding the computation of an approximate Arrow-Debreu market equilibrium in markets with CES utilities. We prove that the problem is PPAD-complete when the Constant Elasticity of Substitution parameter ρ is any constant less than –1. Building on this result, we introduce the notion of non-monotone utilities, which co\\-vers a wide variety of utility functions in economic theory, and prove that it is PPAD-hard to compute an approximate Arrow-Debreu market equilibrium in markets with linear and non-monotone utilities. In the second part, we study Revenue Maximization. We begin by resolving the complexity of the revenue-optimal Bayesian Unit-demand Item Pricing problem when the buyer's values for the items are independent. We show that the problem can be solved in polynomial time for distributions of support size $2$; but {its decision version} is NP-complete for distributions of support size $3$. Next, we study the optimal mechanism design problem for a single unit-demand buyer with item values drawn from independent distributions. We show that, for distributions of support-size $2$ and the same high value, Item Pricing can achieve the same revenue as any menu of lotteries. On the other hand, we provide simple examples where randomization improves revenue. Finally, we show that unless the polynomial-time hierarchy collapses, namely P NP = P#P, there is no universal efficient randomized algorithm that implements an optimal mechanism even when distributions have support size 3.

Abstract In this paper we investigate the long-run relationship between national income and government spending by using Greek data from 1833 until 2010. We use five different formulations of Wagner's law (the long run tendency for government expenditure to expand relative to economic growth) and find that empirical results are supportive for Wagner's law. The data set span covers a period of almost two centuries; the long data set thus ensures the reliability of our results in terms of statistical and economic conclusions. Furthermore, the data set covers the early periods of development of the Greek economy, a period of growth, industrialisation and modernisation of the economy, conditions which should be conducive to Wagner's law. Our analysis provides evidence of long run relationship between government spending and national income, while the Granger causality tests indicate that causality runs from the national income to spending. Moreover we include tests for structural changes to take into account regime changes that occur over time. JEL Classification: A10, E6, H3, H4, I3, N1