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Copyright of Journal of Economic Administrative & Legal Sciences is the property of Arab Journal of Sciences & Research Publishing (AJSRP) 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.)

The purpose of this article is to evaluate the impact of public investment on economic growth. The data was used from the annual data of the Asian Development Bank (ADB) for 6 countries in ASEAN during 2000-2022. The methodology used in the project is to apply the unit root test to the stationarity properties of individual time series and establish the cointegration relationship between non-stationary variables using methods related to cointegration testing in the long-run. The error correction model (ECM) considers the impact of the variables public investment, public expenditure and budget revenue from taxes on short-term economic growth and long-term growth thereby calculating the adjustment speed and adjustment time of the model and using the Granger causality test with fixed effects for analysis of unbalanced panel data to comprehensively analyze the relationship between public investment and economic growth. Data analysis and processing were performed using Stata software version 17. The findings that public investment has a long-term impact on economic growth and has a two-way causal relationship in all countries. The authors provide policy implications to make public investment more effective contributing to promoting the country's socio-economic development, reviewing and improving the legal system on public investment, restructuring public investment while strongly enhancing the efficiency and quality of public investment, inviting and attracting foreign direct investment (FDI) capital, diversifying capital sources and creating more motivation for the private economic sector to develop and promulgate solutions to develop high-quality human resources. [ABSTRACT FROM AUTHOR]

This paper estimates regional consumption functions based on the error correction model on the basis of the 2000–2002 data on real disposable income and consumption expenditures for 11 regions of the Far Eastern Federal District of Russia. The work reveals the existence of short-term and long-term relationships between the dynamics of income and consumption of the population, which are important for the generation of multiplicative effects in the economies of the corresponding regions. It is found that 7 regions of the Russian Federation (the Republic of Buryatia, Zabaykalsky Krai, Primorsky and Khabarovsk Krais, Amur and Sakhalin Oblasts, as well as the Jewish Autonomous Oblast) are characterized by the presence of both statistically significant short-term relationships between changes in income and changes in consumption, and long-term equilibrium ratios between income and consumption. The indicators of short-term marginal propensities to consume, which are the basis of regional multipliers of autonomous expenditures, have been calculated. For the Republic of Sakha (Yakutia) the data reveals a statistically significant short-term relationship between income and consumption in the absence of a long-term relationship between the indicators. For Kamchatka Krai, Magadan Oblast and Chukotka Autonomous Okrug, the absence of both short-term and long-term interrelations between income and consumption was confirmed, and, consequently, the absence of potential for generation of other multiplier effects in the economy, except for those due to purely inter-sectoral relations

According to many studies, the transmission of oil prices to retail fuel prices is asymmetric. Fuel prices react faster if oil prices rise and more slowly if oil prices fall. Different standard econometric procedures lead to different results. The Linex approach, which is based on formulating the non-linear adjustment cost function, reflects the theory. It uses the generalised method of moments to estimate the reaction functions, which demands many observations.

Abstract Climate change's effect on agriculture is a severe problem in every society, particularly in West Africa. The rising temperatures and extreme weather events have significant implications for food security. In this study, we examine the effects of CO2 emissions, agricultural advancements, and food availability on economic growth in West Africa from 1990 to 2020, using a panel ARDL approach with data from 14 countries. The analysis evaluates both long- and short-term effects, with the Dynamic Fixed Effects (DFE) estimator chosen as the most robust model. Results show no significant link between CO2 emissions and economic growth, while agriculture plays a key role, and food availability has mixed effects. The findings underscore the importance of sustainable agriculture and food security in promoting economic resilience in West Africa, offering insights for policymakers.

To address the problem of temperature errors in secondary instruments operating in high- and low-temperature environments, this paper proposed a temperature correction method based on the ARIMA-GM(1,1) model. First, a standard source was connected to a temperature secondary instrument placed in a high- and low-temperature circulation box. The errors between the measurements of the standard source and the secondary instrument could be calculated and obtained a set of error sequences. Second, the error sequences were used to establish an ARI MA model and obtained a set of predicted values. And the residual between the errors and the predicted values could be calculated. To improve the accuracy of the ARIMA model, a GMC(1,1) residual correction model was established based on the residual sequences. Lastly, the ARIMA and the GMC(1,1) models were combined to formulate an ARIMA-GM model that could perform error self-correction for the temperature secondary instrument. In application experiments, the model achieved smaller average relative errors than a traditional ARIMA and hybrid models. Finally, we developed the ARIMA-GM(1,1) model into a software and applied it to cases of actual detection. [ABSTRACT FROM AUTHOR]

Climate change's effect on agriculture is a severe problem in every society, particularly in West Africa. The rising temperatures and extreme weather events have significant implications for food security. In this study, we examine the effects of CO2 emissions, agricultural advancements, and food availability on economic growth in West Africa from 1990 to 2020, using a panel ARDL approach with data from 14 countries. The analysis evaluates both long- and short-term effects, with the Dynamic Fixed Effects (DFE) estimator chosen as the most robust model. Results show no significant link between CO2 emissions and economic growth, while agriculture plays a key role, and food availability has mixed effects. The findings underscore the importance of sustainable agriculture and food security in promoting economic resilience in West Africa, offering insights for policymakers. [ABSTRACT FROM AUTHOR]

Copyright of Polish Statistician / Wiadomości Statystyczne is the property of State Treasury - Statistics Poland 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.)

When a country imports a good or service, it is subject to prices determined by the world market; therefore, domestic market prices change when international prices do. This study aimed to estimate the degree of price transmission between the producer price of milk in Mexico at the national and regional levels and that of the United States (spatial transmission) and between the retail price of milk and the producer price in Mexico (vertical transmission). An econometric analysis of monthly time series of milk prices from January 1990 to December 2021 was performed, applying unit root tests, cointegration tests, and an error correction vector model. The results indicate that there is a long-term relationship between United States prices and producer prices at the national and regional levels, as well as between the retail price and the producer price. It was found that the spatial transmission of international prices to the producer price at the national level and in the regions of Jalisco and Veracruz is symmetrical and asymmetrical with the producer price in the state of Coahuila. There are differences between regions in the speed of adjustment when international prices increase and when they decrease. The vertical transmission was also symmetrical, unidirectional, from the producer to the retail market, and incomplete. [ABSTRACT FROM AUTHOR]

The article builds an ECM model (error correction model) of the relationship between Azerbaijan's trade turnover with Turkey per capita and the GDP per capita of these countries for the period 1992–2022. The presented indicators reflect the level of activity and living standards in these countries. The analyzed time series are non-stationary in terms of their levels, and their first-order differences are stationary. All time series are logarithmized. The article uses the econometric methodology of gravity modeling of the relationship between the non-stationary time series. Various methods were correctly used during the modeling, including the extended Dickey-Fuller unit root test, Granger causality test, Engle-Johansen cointegration tests, vector error correction model, and standard diagnostic tests. Stationarity, causality, and cointegration tests were conducted on the entire sample at a significance level of 10 %. The existence of a statistically significant cointegration dependence of the balanced long-term relationship between the analyzed indicators is substantiated. [ABSTRACT FROM AUTHOR]

Traditional tests fail to detect the presence of nonlinearities in series that are cointegrated, so in this paper a new procedure for cointegration tests is proposed by modifying the two-step Engle and Granger (EG) test (Engle and Granger in Econometrica 55:251–276, 1987), incorporating the RUR and the FB-RUR test of Aparicio et al. (J Time Ser Anal 27:545–576, 2006). The statistics of these non-parametric tests, which are constructed as functions of order statistics, endow the test with desirable properties such as invariance to non-linear transformations of the series and robustness to the presence of significant parameter shifts. As no prior estimation of the cointegrating parameter is required, the new tests lead to parameter-free asymptotic null distributions. Monte Carlo simulations are used to analyze the test properties and evaluate the power at different sample sizes. The robustness of the procedure is tested by performing a comparison of different tests of cointegration in real exchange rate relationships. These tests are able to find evidence of cointegration while standard cointegration tests fail to detect it. [ABSTRACT FROM AUTHOR]

The aim of this paper is to develop a model of the real equilibrium CZK/EUR exchange rate with all relevant explanatory variables. Emphasis will be placed on examining the longest possible time horizon, with a period of real convergence, but also economic stagnation. The model is based on the theoretical BEER approach using a cointegration or error correction model that distinguishes between short-term and long-term relationships. The results show that the Czech koruna strengthens when the productivity differential, terms of trade differential or gross fixed capital formation increase, while the koruna weakens when the VIX index representing global risk aversion increases. For the real interest rate differential, the hypothesis that the koruna strengthens in the short run during the improvement but weakens in the long run probably due to the country's risk premium, was confirmed. Moreover, it turned out that the start of the European Central Bank's quantitative easing led to strengthening of the Czech koruna, while the start of the CNB's foreign exchange interventions in 2013 led to weakening of the Czech koruna.

The significance of foreign direct investment (FDI) for the expansion and advancement of emerging economies has long been recognized. Yet, research on the factors that influence FDI inflows is still developing. This study focuses on examining the long- and short-term association between FDI inflows and its determinants, employing ARDL bounds testing approach and Error Correction Model to understand the relationship between the variables under study. The findings evidence the existence long- and short-term association between FDI and domestic investment, inflation, infrastructure, and trade openness. However, market size is observed to be insignificant in influencing FDI inflows. The coefficients of domestic investment, infrastructure and Trade Openness are observed to be significantly positive. The influence of inflation is found to be negative. The study suggests that the Indian economy should accelerate the process of integration with the world economy along with the enhancement of domestic investment and infrastructure facilities to attain higher FDI.

In most cases, researchers assume that control of corruption, rule of law, accountability, and government expenditure tend to have a positive impact on government effectiveness. Nonetheless, recent theoretical and empirical evidence supports a mixed relationship between these variables. The paper, therefore, seeks to answer the extent to which corruption, the rule of law, accountability, and government expenditure affect government effectiveness. We employed Johansen method of cointegration and vector error correction model to examine the long-run and short-run relationship between the variables under study. By using Sri Lankan data covering the period from 1996 to 2020, we find a significant and positive relationship only between the control of corruption and government effectiveness both in the long run and in the short run. Yet, rule of law has a positive and significant impact on government effectiveness only in the long run. Voice and accountability, and government expenditure affect the government's effectiveness negatively in the long run and positively in the short run. The article demonstrates that weak anti-corruption mechanisms and weak legal and criminal justice systems seem to have a detrimental impact on government effectiveness in developing countries. [ABSTRACT FROM AUTHOR]

In this study, the long and short-run effects of changes in the real effective exchange rate on the exports of the Western Mediterranean Region are analyzed with monthly data for the period between 2002:1 and 2022:12. Initially, the stationarity of the variables was analyzed with the ADF test statistic. As a result of the ADF test statistics, both variables have unit roots in the level case; however, they become stationary when first differences are taken. Since the variables are stationary at similar levels, the long-run relationship between them is analyzed by Engle-Granger cointegration analysis, while the short-run relationship is analyzed by error correction model. According to the findings of the analysis, there is a significant linear regression between the real effective exchange rate and the exports of the Western Mediterranean Region in the long run, while the relationship between the variables is not significant in the short run. In the long run, this linear relationship between the real effective exchange rate and exports of the Western Mediterranean Region provides evidence that the Marshall-Lerner condition is satisfied. In addition, the sign of the error correction coefficient is significant with a negative sign in line with expectations. This result indicates that short-run deviations converge to the equilibrium value in the long run. According to these findings, the real effective exchange rate can be utilized as an effective tool to increase exports in the Western Mediterranean Region. [ABSTRACT FROM AUTHOR]

The aim of this paper is to develop a model of the real equilibrium CZK/EUR exchange rate with all relevant explanatory variables. Emphasis will be placed on examining the longest possible time horizon, with a period of real convergence, but also economic stagnation. The model is based on the theoretical BEER approach using a cointegration or error correction model that distinguishes between short-term and long-term relationships. The results show that the Czech koruna strengthens when the productivity differential, terms of trade differential or gross fixed capital formation increase, while the koruna weakens when the VIX index representing global risk aversion increases. For the real interest rate differential, the hypothesis that the koruna strengthens in the short run during the improvement but weakens in the long run probably due to the country's risk premium, was confirmed. Moreover, it turned out that the start of the European Central Bank's quantitative easing led to strengthening of the Czech koruna, while the start of the CNB's foreign exchange interventions in 2013 led to weakening of the Czech koruna. [ABSTRACT FROM AUTHOR]

AbstractThe paper estimates the degree of integration of plantain prices in three selected markets to assess the efficiency of the plantain marketing system in mid Ghana. The selected markets are Techiman in Bono East Region, Kenyasi and Duayaw Nkwanta markets both in Ahafo Region of Ghana. The spatial market integration analysis was done using the error correction model on monthly wholesale real prices in Ghana cedis (GH¢) per 9–11 kg bunch of plantain from 2006 to 2015. The findings of the analysis indicate that the plantain markets are weakly integrated spatially with an overall degree of integration of 17 percent which suggests weak market efficiency. Therefore, strengthening the implementation of government policy on market information, especially in producing areas, will be useful in improving plantain market efficiency.

Despite the importance of financial development-international trade nexus and its implication for growth, studies have yet to look at the impact of new financial development indicators developed by the International Monetary Fund on international trade performance in Nigeria. This is one of the few attempts made to examine the elasticity of trade to financial development, given the inconclusive findings that permeate the literature. Therefore, this paper investigates the effect of financial development on aggregate trade performance in Nigeria using annual data from 1980 to 2021. The empirical framework is based on the ARDL approach to cointegration and error correction model. The findings revealed that (i) The ARDL bound test revealed the existence of a long-run equilibrium association between the variables; (ii) We find that a unit improvement in financial development induces a 1.1%-1.2% increase in trade performance in the short-run short term and a 9.7% in the long-run; (iii) The results show that a 1% increase in the exchange rate (depreciation) leads to a 0.01% improvement in trade performance in the short-term. The findings have important policy implications. The paper concludes that financial development contributes to trade performance.

The foreign reserves sufficiency is important to maintain macroeconomic stability. The main objective of this paper is to model the behaviour of the central bank in accumulating the foreign reserves in the case of Indonesia. Unlike the previous empirical studies, this paper disaggregates the components of foreign reserves into foreign currency, securities, gold, and special drawing rights. This paper relies on the Almost Ideal Demand System combined with the Error Correction Model. The estimation result for monthly data over the period 2010(1)-2020(12) reveals that the own-price coefficients are negative and statistically significant which is consistent with the standard theory of demand. While the foreign currency-securities pairwise is substitutive, the foreign currency-gold and the foreign currency-special drawing rights pairwise are complementary or even independent. However, the wealth effect is inelastic except for securities reserves. These results imply that the central bank of Indonesia can re-balance its reserves. The securities holding which have the highest proportion of foreign reserve scan be switched to foreign currency, gold, and/or special drawing rights. The rebalancing measures would remain having an optimal level of foreign reserves holding in terms of its opportunity cost. Therefore, the monetary authority can conduct a further macroeconomic stabilisation without substantially losing the returns.

Despite the importance of financial development-international trade nexus and its implication for growth, studies have yet to look at the impact of new financial development indicators developed by the International Monetary Fund on international trade performance in Nigeria. This is one of the few attempts made to examine the elasticity of trade to financial development, given the inconclusive findings that permeate the literature. Therefore, this paper investigates the effect of financial development on aggregate trade performance in Nigeria using annual data from 1980 to 2021. The empirical framework is based on the ARDL approach to cointegration and error correction model. The findings revealed that (i) The ARDL bound test revealed the existence of a long-run equilibrium association between the variables; (ii) We find that a unit improvement in financial development induces a 1.1%-1.2% increase in trade performance in the short-run short term and a 9.7% in the long-run; (iii) The results show that a 1% increase in the exchange rate (depreciation) leads to a 0.01% improvement in trade performance in the short-term. The findings have important policy implications. The paper concludes that financial development contributes to trade performance. [ABSTRACT FROM AUTHOR]

This paper examines trends and dynamics of the Mining sector of Tanzania over a time span of 100 years. To do so, econometrics analysis is used to estimate cointegration model for trends within the span of time from 1966 till 2023. Qualitative analysis is also undertaken and empirical findings confirm five distinct regimes of mining sector performance since 1898 namely; the gold boom from 1898 till 1950, diamond boom from 1950 up to 1966, drastic fall from 1966 till 1997, recovery from 1997 up to 2010 and gold boom from 2010 to date. Tracing from 2000 when Vision 2025 was adopted, paper estimates show that the mining sector performance has been extraordinary from 1 percent in 1997 to 10 percent share of GDP by 2023 and export contribution has increased from US dollar 26 million in 1997 to 2.9 billion by 2023. Legal, regulatory and institutional frameworks at sectoral and macro level substantially influence the observed performance. The paper shows that the error correction term is correctly signed and statistically significant and, the coefficient of minerals export is statistically significant such that a 1 percent increase in mineral export will lead to a 0. 43 percentage increase of total export in the long run, with 77 percent speed of convergence to equilibrium. In terms of contribution to GDP, the results show that 1 percent increase in minerals production lead to 0.16 percent increase of GDP. Further analysis of the paper demonstrates high intensity of the correlation, integration and linkages effects between mining sector with other sectors particularly manufacturing. Thus, mining sector generally has potential to maximize gains from economic and social development whereas discovery of huge deposits of rare earth elements in Tanzania and availability of wide range of industrial mineral in nearly all regions of Tanzania have a potential of becoming a new backbone of Tanzania and enable manufacturing contribution over 30 percent of GDP. [ABSTRACT FROM AUTHOR]

This study aims to examine the impact of income tax and VAT progressivity on Mexico's tax collection. In Mexico, tax collection has persistently remained at notably low levels, attributed in part to the perceived inequity within the tax system. Initially, we compute the progressivity of income tax and VAT to ascertain the average percentage increase in these taxes relative to a 100% rise in income. Results indicate income tax's progressive nature, contrasting with VAT's regressive pattern. Subsequently, employing a time-series model, we analyze the influence of income tax and VAT progressivity on tax collection. Our findings reveal a positive correlation between fiscal progressiveness and tax collection levels over both short and long terms. These findings offer practical implications, suggesting that leveraging the insights from this research could fortify tax policies, thereby enhancing tax revenues and contributing to improved income distribution. The analysis underscores the importance of considering the level of progressivity in income tax and VAT rates for enhancing tax collection in Mexico. By leveraging progressive taxation policies, policymakers can potentially boost tax revenues while promoting a more equitable distribution of income. Furthermore, an increase in tax collection can potentially support public programs and services benefiting society as a whole, thus enhancing overall welfare. [ABSTRACT FROM AUTHOR]

Along with the rapid growth of technology, payment instruments are also changing. Electronic money is slowly but surely replacing the role of paper money and coins. The emergence of electronic money can provide convenience for consumers, it can lead to an increase in the demand for goods and services that ultimately leads to demand-pull inflation.The purpose of this study is to determine the impact of electronic money transactions (both in natural and in value terms) on inflation growth. By using the Chow Breakpoint Test, Difference-in-Differences and Propensity Score Matching shows that the inflation trend has tended to decline since the Bank of Indonesia launched its national non-cash campaign.By using the ordinary least squares (OLS) method was revealed that an increase in the volume of electronic money transactions in the long-term may affect a decrease in inflation, but not in the short-term. The rate of interest of the Bank of Indonesia, the growth of lending and GDP led to the decline in inflation.It was concluded that the Bank of Indonesia could expand the use of electronic money to manipulate inflation levels in the long-term. The policy that can be implemented by Bank Indonesia is to distribute electronic money infrastructure services more evenly and increase the socialization of the use of electronic money, especially in remote areas.

The war that engulfed Syria in March 2011 is considered to be the most destructive event in its modern history. In addition to the massive human losses and millions displaced, physical capital stock and trade losses are comprehensive; by 2019, the United Nations estimated conflict-related damage to physical capital at US$442.2 billion (infrastructure destruction estimated at US$120 billion); and trade witnessed a collapse of about 100% in just a decade. The study focuses on the impact of the conflict on capital and trade and their specificity in a "multipolar" world to a small but "node" country like Syria. Using the error correction model, findings supported the view that (1) underdevelopment is linked to persistent and widespread international and regional intervention and economic sanctions; (2) political and geopolitical factors are highly associated with the state's capacity to raise investment and trade volume. Further, the study pointed out the importance of both public capital and trade in growth in the pre-conflict phase, but not the private capital. Recovery and reconstruction are possible only with relative peace drawn by political settlement between the dominant and contending parties in the geopolitical context. [ABSTRACT FROM AUTHOR]

Introduction: This study investigates the impact of the global economic crisis of 2008 on organic food consumption in the Czech Republic. The structure of this study includes general consumption attitudes and consumption of individual organic food items (organic milk). The goal of this study is to quantify the influence of selected income macroeconomic indicators on organic food consumption (in general and individually). This study is focused on analyzing how this impact changed after 2008 in both prospectives. Methods: Methodologically, the error correction methodology (ECM) has been applied. However, it has been modified to incorporate breakpoint analysis to model the impact of the global economic crisis on organic food consumption. Thus, the total consumption of organic food and consumption of organic milk has been investigated. Results: Econometric verification of the estimated model proved that there was a statistically significant positive dependence of both indicators of organic food consumption on all the investigated indicators of income before 2008. Nonetheless, it was also proved that this dependence disappeared after the global economic recession in 2008. This retrospective analysis provides a valuable view of the mechanisms of organic food consumption changes caused by economic crises. Discussion: Prospective repetition of the research with the data from the current crisis could enrich the theory of organic food consumption. On the one hand, the results of hypotheses testing could be verified, and thus, the mechanisms of consumer reactions to the crisis could be identified, and the model of reaction to the next crisis cycle could be developed so as not to harm radically this sector. On the other hand, the results of hypothesis testing could be denied, and thus, the evolution in organic food perception and consumption could be stated. In this case, the need to revise the so-far formulated theoretical approaches would be proved. [ABSTRACT FROM AUTHOR]

Copyright of Itobiad: Journal of the Human & Social Science Researches / İnsan ve Toplum Bilimleri Araştırmaları Dergisi is the property of Itobiad: Journal of the Human & Social Science Researches 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.)

This article is a continuation and extension of a previous study which, to the best of the author's knowledge, was the first scientific attempt to identify determinants of the yield rate in the Warsaw office market. The paper is based on the Gordon growth model. In this approach, the yield rate of buildings offering office space to let is a function of the risk-free interest rate, the risk premium and a constant rate of growth of generated cash flows. In the article, five different elements of the risk premium were identified (term structure, alternative investments', market (country) specific, monetary and local office market capacity risk premium). The Error Correction Model was formulated based on quarterly time series data from 2007Q1 to 2021Q2. Most investors in the office market in Poland are financial institutions representing foreign capital. Therefore, the innovation of the paper and its main goal was to define which factors play key roles in determining yield rates in the Warsaw office space market -- national or regional/international. However, the selected group of Polish determinants were indicated as having prevailing an impact on the yield rate in the Warsaw office market than the corresponding determinants from the European Monetary Union and the USA. Based on the model, the lead-lag, as well as asymmetric relations, were depicted. Moreover, the use of dummy variables checks, the Chow test and the Markov switching model indicated the presence of structural breaks and the existence of the two regimes in the model. [ABSTRACT FROM AUTHOR]

This study is examined the validity of the Phillips curve hypothesis using the Johansen cointegration and artificial intelligence methods for the period of 2010-2022 in Türkiye and it is also compared the forecasting performance of these methods using coefficient of determination values and error values. Results of the study an 1% increase in unemployment in the long run leads to a 0.854% decrease in consumer prices. This result supports the Phillips Curve hypothesis for the long run. On the other hand, the error correction model shows that Phillips curve hypothesis is not valid in the short run. Besides, R2 and other error metrics namely mean absolute error, root mean square error and the mean absolute percentage error values verify the better forecasting performance of the artificial neural network model than Johansen cointegration. In this context, the findings that can be obtained as a result of artificial intelligence modeling in the management of inflation and unemployment are considered to be important. [ABSTRACT FROM AUTHOR]

Tourism demand modelling is one of the most studied areas in tourism economics, particularly focused on time series and econometric research. In this study, directly interpretable one-equation techniques are utilised, i.e. the autoregressive distributed lag model (ADLM) and the derived error correction model (ECM). To complement the sharing of information and habits in tourism, we apply regressors derived from wages, general prices, and dummies. For the Czech and Austrian data, short- as well as long-run sets of outputs act differently, regarding the specific situation. Such information can straightforwardly be applied to the effective planning of various activities covering the public and private sectors. The results are completed by the standard cointegration testing procedure and residual analysis.

The article examines the relationships between the key components of the levels of socioeconomic development of Ukraine and the Republic of Azerbaijan. The aim of the study is to build a model of intercountry regression of per capita economic growth of both Ukraine and the Republic of Azerbaijan and to perform a comparative cross-country analysis of the key component of inclusive growth of the two countries under the strong influence of financial and socioeconomic crisis processes and the ongoing war. The study is aimed at an empirical study of the joint movement of both indicators, the identification of cause-and-effect relationships and cointegration dependence, the determination of a long-term integration relationship, allowing to take the necessary steps and measures for the positive mutual impact of trade and economic relations between the two countries on the national socioeconomic development. As the level of economic development, GDP per capita was used, taking into account purchasing power parity (PPP). The analysis of the dynamic relationship of indicators is carried out on the basis of data from January 1990 to December 2022. The study uses econometric methodology, including the extended Dickey–Fuller test for the presence of a single root, the Granger test for causality, the Engle–Johansen tests for cointegration, the vector model of error correction, and standard diagnostic tests. Tests for stationarity, causality, and cointegration were performed at the 10% significance level in the entire sample. The cointegration of the integrated 1st order of non-stationary initial series is revealed, where the preferred variant is the one with a trend, in which the marginal rate of restoration of equilibrium between GDP per capita at PPP of the two countries in the current year after the shock of the independent variable in the previous year is noted. The result, showing that GDP per capita at the PPP of Ukraine is in a slight positive dependence on GDP per capita at the PPP of Azerbaijan, is obtained. The empirical model explains 95% of the variation in the initial levels, and the equation of the vector error correction system 51% explains the differences. Recommendations are provided to ensure a long-term equilibrium of the joint movement of GDP at the PPP of both countries and to reduce the imbalance.

Introduction: The declining trend of non-renewable resources and the damage caused to the climate in this century has caused many concerns in terms of economic growth and progress. Strengthening economic growth is achieved in parallel with the increasing consumption of energy, and high energy consumption causes the release and increase in the concentration of all kinds of pollutants that are harmful to the environment, for this reason, the topics of economic growth and how to create a balance between growth and environmental quality are very important. One of the important tools to investigate this question is to pay attention to the environmental curve of Kuznets. This review is also important in the micro sector and the same macroeconomic results cannot be used for other sub-sectors. For this reason, in this study, this curve has been investigated and extracted for each of the economic sub-sectors.Materials and Methods: The present study aims to measure the effects of economic growth on the environment. The research variables include the country's GDP per capita as an indicator of economic growth and CO2 emission per capita as an indicator to show the level of environmental degradation. The data of the study has been collected at the level of three main sectors for the economy of Iran in the period of 2010-2016. This research will first create an econometric relationship (Co-Integration) between the mentioned variables in each of the three sections and then present the applied form of EKC.Results: The results of the study confirm the long-run Co-integration relationship between the research variables in the agricultural and industrial sectors, but the dependent form of the Kuznets curve is not confirmed in these sectors. The results show that there is no long-run Co-integration association in the service sector. Also, the error correction coefficients in each of the agricultural and industrial sectors state that 6 and 1 percent of each period's error is corrected in moving to the long-run Steady equilibrium, respectively.Discussion: Based on the findings of the research and relying on the logic of the Kuznets curve based on the positive correlation between economic growth variables (income) and pollutant emissions (energy consumption) at low income levels and negative correlation at high income levels, in each of the agricultural and industrial sectors, Economic growth is accompanied by the production of more pollutants and more destruction of the environment, and according to the results of the estimated elasticity’s, this trend in the agricultural sector has more acceleration than in the industrial sector. Therefore, surely, the plan of the Iranian governments should be in line with moving in the direction of development by observing the indicators of sustainable development and compatible with nature. In this regard, the results of the present study on the use and exploitation of clean technologies and new production technologies. It emphasizes recycling, renewable energy consumption, green transportation, green chemistry, gray water, etc.

To realize the coordinated development of urbanization and ecological environment is a research hotspot in recent years. There is a very complicated relationship between them. Understanding their relationship is key to realize their coordinated development. In this paper, the long-term dynamic balance behavior between urbanization and ecological environment was studied by means of long-term equilibrium model and error correction model (ECM) based on the data of Shandong Province. In order to comprehensively reflect urbanization and ecological environment, this paper employed comprehensive evaluation model to construct comprehensive index of urbanization and ecological environment respectively, and used coupling coordination degree (CDE) and relative development degree model (RDE) to study the dynamic changes of the two. The results showed that: (1) The relationship between urbanization and ecological environment in Shandong Province is becoming more and more harmonious, and the coupling coordination type between them has gradually developed from extremely uncoupling (EUC) type to highly coupling (HC) type; (2) In the long run, there is a long-term equilibrium relationship between urbanization and ecological environment in Shandong Province, and this equilibrium can be achieved through short-term dynamic adjustment. Therefore, a correct understanding of the short-term and long-term development laws between them can provide the corresponding theoretical basis for policy makers, and shorten the time for urbanization and ecological environment to reach an equilibrium state.

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics 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.)

Copyright of Scientific Journal of Agricultural Sciences (SJAS) is the property of Beni Suef University 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.)

Bean futures are an essential part of the futures market, and changes in the trading environment will influence their cross-boundary relationship. This paper examines the linkage relationship between soybean, soybean oil, and soybean meal futures in China and the United States under the influence of trade frictions based on the Error Correction model, which considers the long-term co-integration relationship and short-term price fluctuations. The findings indicate that before 2018, China and the United States had a two-way impact on soybean and soybean meal futures prices. While after 2018, China's soybean futures prices are unilaterally affected by the US market. Sino-US trade friction has increased the independence of China's soybean oil and soybean meal futures prices but left China's soybean futures prices in a passive position. [ABSTRACT FROM AUTHOR]