Dynamic transformations: unravelling the linkages between shifting MPI patterns and economic growth variables in Himachal Pradesh

Dynamic transformations: unravelling the linkages between shifting MPI patterns and economic growth variables in Himachal Pradesh

Today, the global warming is one of the most important environmental problems. The increase in energy demand, by means of economic growth, brings with environmental problems throughout the world. In particular, the countries which choose fossil fuel for their production and consumption accelerate the global warming as increasing the amount of carbon dioxide (CO2) emissions. Thus it is important, to consider the variables of economic growth, energy and environment together and to determine the direction of the relationships in between them, for policy makers and implementers. Aim of this study is testing the relationship in between the variables of CO2 emission, energy consumption and economic growth through parametric and non-parametric causality models, for Turkey. The results of parametric Granger Causality Test reveal that, there is a unidirectional causality relationship from energy consumption and CO2 emission to gross domestic product (GDP) and there is not any kind of causality in between the variables of energy consumption and CO2 emission. According to the results of non-parametric causality analyses, there is bidirectional causality relationship in between the variables of CO2 emission, energy consumption and economic growth. Main result of this study, considering the results of both parametric and non-parametric analyses, the results of non-parametric analyses support bidirectional causality relationship between the related variables more strongly.

This study aims to determine the factors that affect the demand for labor in Sumatera Utara Province. This study discusses panel data analysis using data on labor demand, output, number of companies, and economic growth in Sumatera Utara Province from 2013-2019. The regression data panel can be estimated using three models, namely the Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). To get the best model, two tests were used, namely the Chow test and the Hausman test. In this study, the best model is obtained is the Fixed Effect Model. Estimation of parameters in panel data regression with Fixed Effect Model obtained a mathematical equation, namely LDit = 3940.726 + 1.60.10-10Oit + 67.06560JPit + 146.0139Git + eit. Based on the significance test, the demand for labor is simultaneously influenced by output, the number of firms and economic growth. When viewed by a partial test (t test), the output variable and the number of companies have a positive and significant effect on labor demand. Meanwhile, the economic growth variable has a positive but insignificant effect on labor demand. Estimation of parameters in panel data regression with Fixed Effect Model obtained a mathematical equation, namely LDit = 3940.726 + 1.60.10-10Oit + 67.06560JPit + 146.0139Git + eit. Based on the significance test, the demand for labor is simultaneously influenced by output, the number of firms and economic growth. When viewed by a partial test (t test), the output variable and the number of companies have a positive and significant effect on labor demand. Meanwhile, the economic growth variable has a positive but insignificant effect on labor demand. Estimation of parameters in panel data regression with Fixed Effect Model obtained a mathematical equation, namely LDit = 3940.726 + 1.60.10-10Oit + 67.06560JPit + 146.0139Git + eit. Based on the significance test, the demand for labor is simultaneously influenced by output, the number of firms and economic growth. When viewed by a partial test (t test), the output variable and the number of companies have a positive and significant effect on labor demand. Meanwhile, the economic growth variable has a positive but insignificant effect on labor demand. the output variable and the number of companies have a positive and significant effect on labor demand. Meanwhile, the economic growth variable has a positive but insignificant effect on labor demand. the output variable and the number of companies have a positive and significant effect on labor demand. Meanwhile, the economic growth variable has a positive but insignificant effect on labor demand.

This study aims to determine the factors that affect the demand for labor in Sumatera Utara Province. This study discusses panel data analysis using data on labor demand, output, number of companies, and economic growth in Sumatera Utara Province from 2013-2019. The regression data panel can be estimated using three models, namely the Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). To get the best model, two tests were used, namely the Chow test and the Hausman test. In this study, the best model is obtained is the Fixed Effect Model. Estimation of parameters in panel data regression with Fixed Effect Model obtained a mathematical equation, namely LDit = 3940.726 + 1.60.10-10Oit + 67.06560JPit + 146.0139Git + eit. Based on the significance test, the demand for labor is simultaneously influenced by output, the number of firms and economic growth. When viewed by a partial test (t test), the output variable and the number of companies have a positive and significant effect on labor demand. Meanwhile, the economic growth variable has a positive but insignificant effect on labor demand. Estimation of parameters in panel data regression with Fixed Effect Model obtained a mathematical equation, namely LDit = 3940.726 + 1.60.10-10Oit + 67.06560JPit + 146.0139Git + eit. Based on the significance test, the demand for labor is simultaneously influenced by output, the number of firms and economic growth. When viewed by a partial test (t test), the output variable and the number of companies have a positive and significant effect on labor demand. Meanwhile, the economic growth variable has a positive but insignificant effect on labor demand. Estimation of parameters in panel data regression with Fixed Effect Model obtained a mathematical equation, namely LDit = 3940.726 + 1.60.10-10Oit + 67.06560JPit + 146.0139Git + eit. Based on the significance test, the demand for labor is simultaneously influenced by output, the number of firms and economic growth. When viewed by a partial test (t test), the output variable and the number of companies have a positive and significant effect on labor demand. Meanwhile, the economic growth variable has a positive but insignificant effect on labor demand. the output variable and the number of companies have a positive and significant effect on labor demand. Meanwhile, the economic growth variable has a positive but insignificant effect on labor demand. the output variable and the number of companies have a positive and significant effect on labor demand. Meanwhile, the economic growth variable has a positive but insignificant effect on labor demand.

The purpose of this paper is to explore the sources of income from the plantation sector, through policies in the form of changes in determining the amount of Tax Object Sales Value, Land and Building Tax (PBB NJOP) based on macroeconomic variables and crop productivity as well as the effect on Regional Original Income (PAD ) This paper focuses on NJOP by using primary data to analyze stakeholder perceptions and secondary data for path equation analysis. The results showed that simultaneously the variables of economic growth and population density had a significant effect on NJOP at a 95% confidence level. Partially economic growth variables and population density have a significant effect on NJOP at a 95% confidence level. The ability of economic growth variables and population density together can provide an explanation of the NJOP variation of 38.70%. Together, the variables of economic growth, population density and NJOP have a significant effect on the United Nations at a 95% confidence level. Partially economic growth, population density and NJOP have a significant effect on the United Nations at a 95% confidence level. The ability of economic growth, population density and NJOP are jointly able to provide an explanation of the UN variation of 67.20%. Simultaneously the variables of economic growth, population density, NJOP and PBB significantly affected PAD at 95% confidence level. Partially, the variables of economic growth, population density, NJOP and PBB significantly affected PAD at 95% confidence level. Variables of economic growth, population density, NJOP and PBB together are able to provide an explanation of PAD variation of 67.70%.

The objectives of this research are (1) to find out how much direct and indirect spending affect the poverty rate through economic growth, (2) to find out how much direct and indirect spending affect the HDI level through economic growth, (3) find out how much direct spending and indirect spending affect the gini ratio through economic growth. To fulfill the research objectives and test the hypotheses that have been set, the analysis used is path analysis to facilitate data processing, so the analysis used in processing the data is the Amos Program Version 22. The research results show that: a direct relationship between direct expenditure variables and growth The economic correlation shows a positive but not significant correlation. The direct expenditure variable has a negative and significant effect on poverty, both directly and through the economic growth variable. The results show that the direct spending of the Papua provincial government has an indirect effect on the poverty rate in this area. The direct expenditure variable has a positive effect on improving HDI performance, both directly and through economic growth variables. That is, the correlation between direct spending on regional inequality shows a positive relationship, both directly and through economic growth variables. Indirect spending variables have a negative relationship to economic growth in Papua province. The correlation between indirect spending on poverty levels in Papua province shows negative relationship, both directly and through economic growth. Indirect expenditure variables have a negative correlation with HDI performance, both directly and through economic growth variables. Furthermore, indirect expenditure variables have a positive correlation with regional inequality in this area, both indirectly directly or through intervening variables of economic growth.

Wage is one of the leading indicators to assess needed for decent living from labor who works in a company. The importance of providing wages to labor in accordance with his handiwork as well as the magnitude of the needs is a thing that must be considered by a businessman. This research is based on the phenomenon, whereby the granting of wage is for workers rights/labour in return to work, on the other hand employers saw the wage is cost. The purpose of this research is to find out and analyze the variables of economic growth and inflation against the minimum wage province of Jambi. The Data used in this study is secondary data during the year 2000-2013 sourced from BPS, Disnakertransos, Bappeda of Jambi province. Model analysis used is the regression equation is linear of multiple, being to the testing of hypotheses used test f and test t. The results were obtained regression coefficient of 2,538 variable economic growth. This means that if there is an increase in the economic growth of 1%, the provincial minimum wage will result in an increase of 2,538%. The while variable inflation of – 0,202. This means that if there is an increase in the inflation of 1% will result in the value of the minimum wage declined by 0,202%. The value of f count 6,054 > f table 3,98, and a significant degree 0,017 < alpha 0,05%. It means the independent variable (economic growth and inflation) influential positive and significantly affect the minimum wage jambi. Based on partial test (t test), variable economic growth and a significant positive effect on the Jambi provincial minimum wage, inflation variable is not significant and is worth a negative coefficient. This fact, indicate inflation can reduce the value of the money received by workers. Because even though the nominal value of the provincial minimum wage will increase but the value of the goods the purchasing power of workers will decrease, consequently the needs of everyday working life are not met. Keywords : economic growth, inflation, the provincial minimum wage

This study is entitled "ANALYSIS OF THE EFFECT OF INFLATION AND ECONOMIC GROWTH ON OPEN UNEMPLOYMENT IN CENTRAL LOMBOK REGENCY IN 2016-2021". In this study, the researcher wants to see how inflation and economic growth affect open unemployment in Central Lombok Regency in 2016-2021. The type of this research is Quantitative research with an associative approach. The analytical tool used in this study is multiple linear regression analysis. The results of this study are that the R-square value is 0.664 with a significance value (α) or alpha of 0.05 (5%). The R-square value in this study has a meaning, namely the influence of the inflation and economic growth variables is able to explain the unemployment variable in Central Lombok Regency by 0.664 one-unit or 66.4%, and this figure shows a large influence and meets the regression criteria. While the rest is influenced by other variables not included in this study by 0.336 or 3.36%. Partially, the influence of the inflation and economic growth variables is not significant in influencing unemployment in Central Lombok Regency from 2016-2021. Simultaneously, the inflation and economic growth variables are not significant in influencing unemployment in Central Lombok Regency from 2016-2021. Meanwhile, the dominant variable influencing unemployment in Central Lombok Regency is the economic growth variable.

This study employs four-dimensional and one composite indices of democratization constructed to capture the democratization processes in Nigeria’s transition polity, to investigate the empirical relationships between the levels of democratization in Nigeria and two economic growth variables – domestic savings and domestic investment. As would be expected, the findings do not settle the debate in any direction. However, they could shed some light on the differences between the dimensional and the overall effects of democratization on economic variables. The results of the analyses show that the short-run responses of growth variables to changes in democratization may differ from their long-run responses.

The main purpose of this research is to examine the relationship between the logistics performance index and economic growth and financial development. The data set of 157 countries for the years 2010-2018 was used in the study. Eviews and Gretl programs were used for empirical analysis. An empirical analysis, Im-Pesaran-Shin unit root, Kao and Pedroni cointegration, Panel FMOLS and Dumitrescu Hurlin Panel Causality tests were used. As a result of the analyzes, it has been determined that there is a long-term cointegration between the logistics performance index and the variables of economic growth and financial development. As a result of the FMOLS estimator, it was determined that the coefficient of the logistics performance index variable of financial development and economic growth was positive and statistically significant. In addition, a one-way causality relationship was determined between the logistics performance index and economic growth and financial development.

The purpose of this research is to inform about the influence of Chinese investment on Indonesia's economic growth. The data sample taken is a secondary time series data type with a time range from 2006 to 2021 sourced from BKPM and BPS. The data analysis used Granger causality through the use of Eviews 13. The results of the hypothesis test explained that there was no significant and positive impact from the causality relationship between the investment value variable and the economic growth variable but on the contrary had a positive but not significant causal relationship between the economic growth variable and the economic growth variable. investment value.

The purpose of this study is to explain whether directly or indirectly the variables of economic growth and the regional minimum wage (UMR) on original income in Indonesia (GDP) through the variable amount of investment in the tourism sector. In this study, the independent variable is the variable of economic growth and the regional minimum wage (UMR), while the dependent variable is original income in Indonesia (GDP) and the intervening variable is the variable amount of investment in the tourism sector. The data obtained in this study are data on Indonesia's economic growth, Indonesian UMR data, Indonesian GDP data and investment data in the tourism sector for 2016-2020 using the path analysis method. The research method used in this study is a quantitative descriptive research method using path analysis with Based on the results of research analysis, the conclusion of this study is that partially the economic growth and UMR variables have a significant effect on the GDP variable and the investment variable in the tourism sector. Simultaneously, the variables of economic growth and the minimum wage have an effect on the GDP variable through the investment variable in the tourism sector. Through the results of research that has been stated that good economic growth, data will increase good GDP, where economic growth and increased GDP, economic growth and increased GDP will be able to increase investment in tourism, where this investment will indirectly increase GDP in tourism and will boost economic growth. If the UMR increases, it will increase productivity, so that it will be able to increase GDP and at the same time boost economic growth, and vice versa if the UMR does not increase, then productivity will decrease and GDP will decrease and this will result in a decrease in economic growth.

This study aims to analyze the effect of foreign direct investment and inflation on economic growth in ASEAN countries. The analytical method used is a quantitative approach with multiple linear regression panel data method based on secondary data from foreign direct investment, inflation, and economic growth variables in 2009-2020. The analysis results show that FDI has no significant impact on the economic growth variable, and the inflation rate has a significant positive impact on the economic growth variable.

Banten Province is one province that has an industrial area that is pretty much like the Cilegon, Serang and Tangerang regency. For the expansion of employment, the industrial sector is expected to absorb more labor than other sectors. This study aims to determine how the influence of both partially and simultaneously economic growth variables and variable levels of industry sectors that include resident education with graduate elementary, junior high, high school, and higher education on employment in the industrial sector in the province of Banten. This study uses secondary data consisting of the data years 2005-2011 were obtained from Statistics Province. This study analyzes the method using Fixed Effect Model on Panel Data. Results of analysis of this study it can be concluded that the variables of economic growth and industrial sector levels elementary, junior high, high school and PT simultaneously have a positive and significant impact on employment in the industrial sector. F-calculated value of 538.1693 with a probability value of 0.000000 is smaller than alpha 5 percent, so it can be concluded that there is significant influence between the variables of economic growth in the industrial sector and the education level of the labor market in the industrial sector. R2 value of 0.994273 indicates that 99.4273% of independent variables to explain the dependent variabel

Anticipation of economic uncertainty needs to be done to avoid the brink of crisis by maintaining the pace of economic growth, investment and savings climate as well as smooth international trade. This study aims to analyze and explore the dynamic relationship interaction between economic growth variables projected as Gross Domestic Product (GDP), investment, gross domestic savings and international trade of the Indonesian state with data in the period 1971-2020 obtained from the worldbank.org website. The research method uses the Vector Auto Regression (VAR) analysis model with the development of Impulse Response Function (IRF) and Variance Decomposition (VDC) analysis to explain the response of a variable to the shock of the variable itself and other variables. The results of the analysis revealed that the one-way relationship for the variables of investing, saving, and trading was influenced by the variable itself with a lag of one. In addition, the results of IRF analysis show that the variable response of economic growth, investment, savings and international trade is dominated by shocks to economic growth variables, and the results of VDC analysis show that economic growth variables most contribute to the variable response of economic growth itself, investment, savings and international trade. The results of this study can be used as a reference for the formulation of anticipatory policies by the government and Bank Indonesia in preventing the risk of economic crisis by maintaining macroeconomic variable stability so that the level of domestic market confidence is maintained in the outlook. Therefore, the policy stages that can be carried out are to control inflation, reduce the current account deficit, maintain fiscal balance and improve in managing foreign debt.