Dynamic Impact Analysis of Urbanization Progress and Industrial Structure Change on VAR Model

2014 ◽  
Vol 631-632 ◽  
pp. 23-26
Author(s):  
Zi Liang Ma ◽  
Hai Ying Ma
Keyword(s):  
Economic Development ◽  
Industrial Structure ◽  
Time Series Data ◽  
Mutual Influence ◽  
Dynamic Effect ◽  
Structure Change ◽  
Gansu Province ◽  
Series Data ◽  
Var Model ◽  
The Impact

Urbanization progress and industrial structure change as an important content of economic development, the dynamic correlation effects in the process of economic development continuously. Based on Gansu province in 1978-2011 time series data, building the VAR model of urbanization progress and industrial structure change, analysis of the dynamic effect between urbanization progress and industrial structure change in Gansu province, and grasp the mutual influence of both from spatial evolution, between urbanization progress and industrial structure change is dynamic effect in Gansu province, but the impact of industrial structure change on urbanization progress is stronger than the impact of urbanization progress on industrial structure change, Suggestions are given on this basis.

Transport infrastructure of the Rostov Oblast: Problems and prospects for development in the context of national projects implementation

2020 ◽  
Vol 19 (6) ◽  
pp. 1015-1034
Author(s):  
O.Yu. Patrakeeva
Keyword(s):  
Time Series Data ◽  
Mutual Influence ◽  
Rostov Oblast ◽  
Transport Infrastructure ◽  
Series Data ◽  
Cointegration Tests ◽  
Level Of Economic Development ◽  
Short Run ◽  
The Government ◽  
The Impact

Subject. The paper considers national projects in the field of transport infrastructure, i.e. Safe and High-quality Roads and Comprehensive Plan for Modernization and Expansion of Trunk Infrastructure, and the specifics of their implementation in the Rostov Oblast. Objectives. The aim is to conduct a statistical assessment of the impact of transport infrastructure on the region’s economic performance and define prospects for and risks of the implementation of national infrastructure projects in conditions of a shrinking economy. Methods. I use available statistics and apply methods and approaches with time-series data, namely stationarity and cointegration tests, vector autoregression models. Results. The level of economic development has an impact on transport infrastructure in the short run. However, the mutual influence has not been statistically confirmed. The paper revealed that investments in the sphere of transport reduce risk of accidents on the roads of the Rostov Oblast. Improving the quality of roads with high traffic flow by reducing investments in the maintenance of subsidiary roads enables to decrease accident rate on the whole. Conclusions. In conditions of economy shrinking caused by the complex epidemiological situation and measures aimed at minimizing the spread of coronavirus, it is crucial to create a solid foundation for further economic recovery. At the government level, it is decided to continue implementing national projects as significant tools for recovery growth.

Does Tax Increment Financing Pass the “But-for” Test in Missouri?

2019 ◽  
Vol 33 (3) ◽  
pp. 187-202
Author(s):  
Ahmed Rachid El-Khattabi ◽  
T. William Lester
Keyword(s):  
Economic Development ◽  
Kansas City ◽  
Time Series Data ◽  
Local Level ◽  
Conclusive Evidence ◽  
Series Data ◽  
Tax Increment Financing ◽  
Data Set ◽  
Development Indicators ◽  
The Impact

The use of tax increment financing (TIF) remains a popular, yet highly controversial, tool among policy makers in their efforts to promote economic development. This study conducts a comprehensive assessment of the effectiveness of Missouri’s TIF program, specifically in Kansas City and St. Louis, in creating economic opportunities. We build a time-series data set starting 1990 through 2012 of detailed employment levels, establishment counts, and sales at the census block-group level to run a set of difference-in-differences with matching estimates for the impact of TIF at the local level. Although we analyze the impact of TIF on a wide set of indicators and across various industry sectors, we find no conclusive evidence that the TIF program in either city has a causal impact on key economic development indicators.

scholarly journals Impact of Women Education on Economic Growth: An Evidence from Pakistan

2021 ◽  
Vol 3 (2) ◽  
pp. 113-120
Author(s):  
Kiran Zahra ◽  
Mudassar Yasin ◽  
Baserat Sultana ◽  
Zulqarnain Haider ◽  
Raheela Khatoon
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Economic Development ◽  
Time Series Data ◽  
Essential Element ◽  
Series Data ◽  
Education Expenditure ◽  
Long Run ◽  
The Government ◽  
The Impact

Education is the most fundamental right in the current situation, and it is an essential element of economic growth. No country can achieve economic development and goals without investing in education. Pakistan’s economic development is possible when education is equal for both men and women, but the government did not give importance to the sector as it deserved. This study investigated the determinants of female higher education in Pakistan and the impact of women's education on the economic growth of Pakistan. This study utilized time-series data from 1991 to 2019. The autoregressive distribution lag (ARDL) model is applied to estimate the impact. The result shows that in Pakistan, education expenditure has no positive effect on female education. In contrast, a positive relationship between female higher education and GDP growth exists, but this relation is not strong in the short run and long run.

scholarly journals The Impact of Internally Generated Revenue on Economic Development in Nigeria

2018 ◽  
Vol 7 (2) ◽  
pp. 166 ◽  
Author(s):  
Cordelia Onyinyechi Omodero ◽  
Michael Chidiebere Ekwe ◽  
John Uzoma Ihendinihu
Keyword(s):  
Economic Development ◽  
Local Governments ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
P Value ◽  
Statistical Tool ◽  
Ex Post ◽  
Test Of Hypotheses ◽  
The Impact

The study investigated the impact of internally generated revenue (IGR) on economic development of Nigeria. The inability of States and Local governments in Nigeria to generate enough revenue to cope with their expenditure responsibilities has been a serious challenge. The improper use of IGR and corruption have remained a setback to economic development in Nigeria, hence the clamour from the citizens. This study made use of ex-post facto research design to specifically examine the impact of total IGR (TIGR), Federal Government Independent Revenue (FGIR), States IGR (SIGR) and Local IGR (LIGR) Governments IGR on the Real Gross Domestic Product (RGDP i.e. proxy for economic development) of the country. The time series data employed covered a period from 1981 to 2016 and were gathered from the Central Bank of Nigeria (CBN) Statistical Bulletin. The statistical tool used for the data analysis was the multi-regression and t-test for test of hypotheses. The findings of the study revealed that TIGR, SIGR and LIGR have robust and significant positive impact (p-value = 0.000 < 0.05) on RGDP, while FGIR also indicated positive and significant influence on RGDP. There was an existence of high correlation between the dependent and independent variables. The study concluded that the positive impact of IGR is not out of place but the physical evidence is apparently lacking and therefore government policies that could eradicate sharp practices in the government system are required. The study also recommends that government official with corruption history should not be allowed to continue to handle responsibilities rather; people with outstanding integrity should be given opportunity to occupy government positions that are sensitive and could help achieve economic development objectives.

scholarly journals The Impact of FDI on Economic Development of Pakistan

2012 ◽  
Vol 3 (2) ◽  
pp. 59-68
Author(s):  
Muhammad Tahir Mahmood
Keyword(s):  
Economic Development ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Domestic Investment ◽  
Distributed Lag ◽  
Country Level ◽  
Autoregressive Distributed Lag ◽  
Ultimate Result ◽  
The Impact

The foreign direct investment has made its position better as a bundle of benefits during the last three decades at the global level. The ultimate result of its benefits for the recipient countries is often sought in term of economic development. Such results do not appear in the same fashion in all recipient economies and so provide the space to investigate this nexus at country level. This study is an endeavor to examine empirically the impact of FDI on economic development of Pakistan. For this purpose, the time series data covering the period (1971-2009) were used. For data analysis, the bound testing approach to co integration within the framework of the Autoregressive Distributed Lag (ARDL) was utilized. The findings of the study supported the hypothesis of positive impact of FDI on economic development of Pakistan. The results also endorsed the views that the FDI is more effective than that of domestic investment.

scholarly journals Impact of Remittance on Economic Development of Nepal

2017 ◽  
Vol 10 (1) ◽  
pp. 19-30
Author(s):  
Rameshwar Acharya
Keyword(s):  
Economic Development ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Fixed Capital Formation ◽  
Annual Time Series ◽  
The Government ◽  
The Impact ◽  
Annual Time

This study assesses the impact of remittance on Gross Domestic Product (GDP), Gross National Product (GNP) and Per Capita Income (PCI) of Nepal employing multiple regression method on national annual time series data for a period of 41 years (from 1974/75 to 2014/15). The results show that there is positive impact of remittance on GDP, GNP and PCI. Further, the findings clearly provide an evidence of predictive power of fixed capital formation on economic development. But the role of export could not be established. Finally, to foster the economic development, it is suggested that the government should initiate policy to channelize the remittance income into the productive uses by offering attractive investment schemes to the remittance receiving families.

scholarly journals Empirical Analysis Between Economic Growth and Energy Consumption Based on the Perspective of Industrial Structure

2014 ◽  
Vol 7 (1) ◽  
pp. 158-163
Author(s):  
Shu Yehong ◽  
He Yucheng
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Energy Supply ◽  
Industrial Structure ◽  
Time Series Data ◽  
Supply And Demand ◽  
Hunan Province ◽  
Series Data ◽  
The Relationship

Energy is an important material basis for social and economic development. With the rapid economic development, energy is increasingly becoming an important issue of socio-economic development. As China's "two-oriented society" pilots Hunan Province, a major breakthrough occurred in the transformation of economic growth, adjusting the industrial structure and promoting energy conservation and environmental protection, but still faces shortage of energy supply and demand and supply imbalances, impacting on sustainable economic development. This paper introduces the economic growth based on the previous results and summarized the relationship between energy consumption and classification; also introduces the theory of economic growth, industrial structure and related econometric models providing a theoretical basis and methods of analysis for this study. Secondly, through the relevant data collected and selected first from second and third industry time series data of economic growth and energy consumption of the 1990-2013 year of Hunan Province, the paper established econometric model of industrial structure and the relationship between energy consumption and economic growth in the analysis of the results obtained: the secondary industry is the leading cause of long-term increase in energy consumption which in turn is the driving force of the tertiary industry development. Finally, the relevant suggestions are made for industrial restructuring and for ensuring security of energy supply perspective.

scholarly journals Impact of Global Oil Shocks on the Russian Stock Market

2021 ◽  
Vol 92 ◽  
pp. 07037
Author(s):  
Igor Lukasevich ◽  
Ludmila Chikileva
Keyword(s):  
Stock Market ◽  
Time Series Data ◽  
Value Added ◽  
Stock Index ◽  
Series Data ◽  
Var Model ◽  
Oil Shocks ◽  
Russian Market ◽  
Russian Stock Market ◽  
The Impact

Research background: The study focuses on modeling assessment of oil shocks impact on the Russian stock market. Purpose of the article: The purpose of the study is to determine the impact of oil prices abrupt changes on the Russian stock market, its quantitative and temporal specifications. The study consists of two interrelated sections. The first section includes the results of statistical processing of initial data, calculation of their key characteristics and preliminary analysis. The second section of the study is devoted to modeling the assessment of the impact of oil shocks on the behavior of the Russian market RTS stock index. Methods: Based on an extensive sample of daily price values for Brent North sea oil and the Russian stock index RTS for the period from 1997 to May 2020, the study was conducted using models vector auto regression (VAR-model). Findings &Value added: The VAR model was developed and tested to assess the impact of oil shocks on the Russian stock market. Unlike the results of other studies, it is shown that the Brent oil price variance explains only about 10% of the RTS index yield variance in long-term time intervals. The low correlation of time series data and time limit of the impact of oil shocks on the Russian market have been revealed. According to the results of the study, the market recovery takes about 2 months, then the stock index returns to the ‘historical’ range of average ± standard deviation.

Research on the Relationship Between Economic and Environmental Problems in Inner Mongolia under Industrial Transfer: An Analysis Based on EKC

2021 ◽  
Author(s):  
Xiaodong Pei ◽  
Pengxu Yuan ◽  
Chelimuge Bao ◽  
Junbo Xue ◽  
Ningning Sun
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Inner Mongolia ◽  
Industrial Structure ◽  
Time Series Data ◽  
Environmental Problems ◽  
Series Data ◽  
Industrial Transfer ◽  
Autonomous Region ◽  
The Relationship

Abstract In order to promote the economic development of the autonomous region, Inner Mongolia actively undertakes the industrial transfer in the eastern developed areas. In the process of promoting the economic development of Inner Mongolia, industrial transfer has also brought some environmental problems. In order to explore the relationship between industrial transfer, economic growth and the environment of Inner Mongolia, this paper selects the time series data of Inner Mongolia Autonomous Region from 2001 to 2016, and conducts an empirical analysis by establishing an Environmental Kuznets Curve (EKC) model. The study found that industrial transfer has brought the economic growth and the upgrading of industrial structure to Inner Mongolia, but also brought about environmental problems. Therefore, this paper proposes that Inner Mongolia should increase investment in R&D, strengthen investment in environmental governance, and make full use of the advantages of geography, labor force and natural resources to achieve high-quality economic development and industrial structure optimization and upgrade.

scholarly journals Research on Environmental Sustainability of Coal Cities: A Case Study of Yulin, China

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2470
Author(s):  
Xiaowei Zhai ◽  
Zhuo Cheng ◽  
Keyu Ai ◽  
Bo Shang
Keyword(s):  
Economic Development ◽  
Environmental Sustainability ◽  
Industrial Waste ◽  
Time Series Data ◽  
Chain Extension ◽  
Series Data ◽  
Resource Exploitation ◽  
Ekc Hypothesis ◽  
Per Capita ◽  
The Impact

Coal cities are an essential impetus for economic development and urbanization processes in China. However, a series of environmental issues provoked by resource exploitation cause the environmental sustainability of coal cities to face enormous challenges. Therefore, on the basis of the time series data of Yulin City from 1996 to 2017, this paper explores the nexus between socioeconomic development and industrial “three wastes” emissions by adopting the Tapio decoupling model, the environmental Kuznets curve (EKC) hypothesis, and the vector auto-regressive (VAR) model. The results show that Yulin’s economic development remains in an extensive stage and will not decouple from the environmental pollution in a short time. Except for the nexus of industrial solid waste and economic growth, which is an inverted U-shaped, the EKC hypothesis is not valid for industrial wastewater and industrial waste gas. Through the VAR (2) model, the impact of per capita gross domestic product (GDP) on industrial waste emissions is consistent with the results of the EKC hypothesis. Moreover, industrial waste emissions have a positive correlation with the per capita raw coal output, the energy consumption per unit of GDP, and the proportion of secondary industry. Hence, it is necessary to formulate targeted measures from industrial restructuring, industrial chain extension, governance model optimization, and waste comprehensive utilization to realize the environmental sustainability of coal cities.

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