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To analyze economic data, it would be better to use panel data (a combination of time series and cross section) because there is a lot of information obtained. One model that is widely used in panel data analysis is the PVAR model because it was able to identify the dynamic effects of the heterogeneity shock of the unobserved variables and their causal effects. PVAR is widely used in data on the economic growth of a region or country. Many factors affect economic growth, one of which is inflation. Inflation and economic growth are two things that influence each other. Economic growth it self can be calculated based on the value of GDP. In this study, Granger causality shows that there is a two-way influence of the two variables. The PVAR model shows that the two variables influence each other but the time effect has a greater influence. Where the GDP rate in the previous year had more influence on the current GDP rate than the inflation rate. [ABSTRACT FROM AUTHOR]

Innovation is one of the factors of non-macroeconomic in an effort to trigger the growth of the economy that can help the country to compete achieve higher levels of production and have a competitive advantage. Innovation is closely related to export activities carried out by a country with innovation it is hoped that this innovation will help smooth export activities that have an impact on economic growth. This study analyzed the effect of innovation on economic growth in ASEAN during the period years 2014 to 2019. The analytical method used is Pooled Least Square (PLS). The variables used in this study are economic growth, innovation, and the percentage of export performance. By applying the panel data model with expected to be known the extent to which the presence of innovation in economic growth in ASEAN. The calculation results show that innovation has a negative impact on economic growth in ASEAN, while export growth has a positive effect on economic growth. [ABSTRACT FROM AUTHOR]

The article aims to identify the features of the institutional environment formation of agriculture and show that digitalization is a specific factor of sustainable economic growth of agriculture at the present stage of economic development. The study is based on the dialectical method aimed at identifying cause-effect relationships between the economic growth of domestic agriculture and the factors that influence it. The study shows that at the present stage of the institutional environment development of domestic agriculture, one of the main factors of agriculture sustainability is the process of digital technology development. The study's originality lies in identifying specific factors of sustainable economic growth of agriculture in Russia at the present stage of economic development. [ABSTRACT FROM AUTHOR]

The paper analyzes dynamical growth models predicting cyclic development of investigated economic factors. The research deals with an optimal control problem based on the economic growth model with the production function of the Cobb-Douglas type. Following the Pontryagin maximum principle, we derive the Hamiltonian system and conduct its qualitative analysis, which reveals conditions for the cyclic behavior of the optimal solutions around the isolate steady state. Numerical experiments illustrate the obtained results by demonstrating phase portraits corresponding to steady states of the focal type. [ABSTRACT FROM AUTHOR]

The impact of the transport complex on the economy can hardly be overestimated. Transport provides the ability to move people and goods, is a prerequisite for the creation of a single economic space. Transport is the backbone of the trade infrastructure, has a significant impact on the competitiveness of certain industries in countries and regions. Imperfections in the transport system (for example, bottlenecks, limited multimodality, high tariffs) negatively affect the efficiency of the country's economy as a whole. Conversely, the accelerated development of transport infrastructure, improvement of transport and logistics systems can have a significant impact on economic growth and, ultimately, on the well-being of the population. [ABSTRACT FROM AUTHOR]

Economic development is done to achieve economic growth of a country. Unplanned economic development has a negative impact on environmental damage. The dynamics of economic growth and population is very potential for global warming caused by the accumulation of CO2 emissions in the air. This paper intends to investigate the effect of economic and population growth in increasing CO2 emissions in the air. The goal is to estimate the models that are able to illustrate the relationship between economic growth and the population towards the changes in CO2 emissions in the air. Model estimation is done by using product function in Cobb-Douglas, meanwhile parameter estimation is done by using ordinary least square method (OLS). The results of the analysis show that the Cobb-Douglas production function can significantly illustrate the relationship of economic and population growth influence to CO2 emission change. The strength of the relationship can be shown by the coefficient of determination which reached 98.0%. This shows the truth that the increase in CO2 emissions is significantly influenced by economic growth and population. [ABSTRACT FROM AUTHOR]