Measurement of Cognitive Growth Factors of Regional Economy Based on Panel Data

The regional transfer of production factors was the foundation of regional economy, which was connected with non-balance-development theory. The paper, from the angle of regional economy, made a deep study and established the transfer measurements of the production factors of the High-tech zones.Empirical study of the panel data of the High-tech Zone, results showed that the clustering rate in the zones is already good, but the clustering quality of production factors was not ideal.

Download Full-text

Effects of Post-Disaster Aid Measures to Firms: Evidence from Tohoku University Earthquake Recovery Firm Survey 2012–2015

Journal of Disaster Research ◽

10.20965/jdr.2019.p1030 ◽

2019 ◽

Vol 14 (8) ◽

pp. 1030-1046

Author(s):

Yuzuru Isoda ◽

Satoru Masuda ◽

Shin-Ichi Nishiyama ◽

◽

...

Keyword(s):

Panel Data ◽

Graduate School ◽

Regional Economy ◽

Disaster Resilience ◽

Business Activity ◽

Panel Survey ◽

Disaster Aid ◽

Source Of Information ◽

Post Disaster ◽

Firm Survey

Panel data of individual firms are a valuable source of information on the disaster resilience of the regional economy. Such data also helps to assess the effectiveness of government aids to recovery. Every year after the Great East Japan Earthquake 2011, from 2012 to 2015, Tohoku University’s Graduate School of Economics and Management conducted the Tohoku University Earthquake Recovery Firm Survey (TERFS) to obtain such information. The survey collected 25,826 responses over the 4-year period from a total of 11,090 firms in the east Tohoku region, the most severely affected region. Based on this survey, this paper assesses the effects of the conventional and new government recovery aid measures introduced to help firms affected by the disaster on the levels of business activity. The paper finds that group subsidy and debt reduction had important roles in the recovery of business activities, and demonstrates the importance of a panel survey in understanding and guiding policies for the resilience of the regional economy.

Download Full-text

Are Merchandise Exports and FDI Inflows an Engine of Growth for ASEAN-10 Countries? New Evidence Using the Pooled Mean Group Estimation Method

Margin The Journal of Applied Economic Research ◽

10.1177/0973801018786156 ◽

2018 ◽

Vol 12 (4) ◽

pp. 414-430 ◽

Cited By ~ 2

Author(s):

Soo Khoon Goh ◽

Koi Nyen Wong ◽

Chee Lam Yew

Keyword(s):

Panel Data ◽

Regional Economy ◽

Driving Forces ◽

Early Stage ◽

Regional Growth ◽

Estimation Method ◽

Jel Classification ◽

Pooled Mean Group ◽

Long Run ◽

Short Run

The Association of Southeast Asian Nations (ASEAN) has made remarkable economic progress in terms of rapid economic growth and expanding export trade and foreign direct investment (FDI). Theoretically speaking, both merchandise exports and FDI can be regarded as the key driving forces behind the ‘economic miracle’ of the regional economy. The major contribution of this study is that it is the first effort to empirically analyse the short-run and long-run growth effects of merchandise exports and FDI on the ASEAN-10 countries using time-series panel data. In this regard, this study aims to ascertain whether the spectacular regional growth is export- and FDI-driven, based on the ASEAN-10 panel data spanning from 1970 to 2016 using the pooled mean group (PMG) method. The findings show that merchandise exports are a key source of growth for the regional economy, attributable to the joint liberalisation efforts of the member states to expand trade and FDI. The study does not find evidence of FDI-led growth because the bulk of the FDI was invested in only a few ASEAN countries, and the minor FDI-recipient countries are at an early stage to benefit from the growth impacts of FDI, owing to lower absorptive capacity. JEL Classification: C51, F21, F23, O19

Download Full-text

Research on the Interaction between Resource Logistics Industrial Cluster and Regional Economic

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1073-1076.2372 ◽

2014 ◽

Vol 1073-1076 ◽

pp. 2372-2376

Author(s):

Xiao Ye Zhou ◽

Zhe Wang ◽

Huan Sun

Keyword(s):

Panel Data ◽

Individual Difference ◽

Data Model ◽

Regional Economy ◽

Industrial Cluster ◽

Panel Data Model ◽

Industry Cluster ◽

Logistics Industry ◽

Cluster Data ◽

The Individual

As a hotspot in Econometrics, Panel Data can control the behavior of the individual difference better , and it can also provide more information, more variability, less multicollinearity, higher degree of freedom and more efficient. This paper takes Fuxin, Fushun, Jiaozuo, Zaozhuang, Liaoyuan five resource logistics industrial cluster data, constructs a panel data model, and analyzes the interaction of resources of logistics industry cluster and regional economy and logistics industry.

Download Full-text

Renewable Energy and Its Impact on GDP Growth Factors: Spatial Panel Data Analysis of Gross Fixed Capital Formation in Selected EU Countries

Software Engineering Perspectives in Intelligent Systems - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-63319-6_20 ◽

2020 ◽

pp. 230-242

Author(s):

Tomáš Formánek

Keyword(s):

Renewable Energy ◽

Growth Factors ◽

Data Analysis ◽

Panel Data ◽

Panel Data Analysis ◽

Capital Formation ◽

Gdp Growth ◽

Spatial Panel ◽

Fixed Capital Formation ◽

Spatial Panel Data

Download Full-text

The Relationship Between Human Capital and the Regional Economy Productivity

JEJAK ◽

10.15294/jejak.v12i1.18396 ◽

2019 ◽

Vol 12 (1) ◽

pp. 138-152

Author(s):

Hendarmin Hendarmin ◽

Metasari Kartika

Keyword(s):

Human Capital ◽

Panel Data ◽

Capital Investment ◽

Regional Economy ◽

Random Effect ◽

Study Finding ◽

Physical Capital ◽

Productivity Level ◽

Economic Productivity ◽

The Impact

The aim of this study is to measure the impact of the human capital on the economic productivity level in provinces of Kalimantan Island. The data used in this study was a panel data from 5 provinces in Kalimantan Island within 2013-2017 time periods which its study finding was analyzed using panel data regression analysis with random effect approach. The study finding explains that the human capital, measured by the education level which is the average of years of education, the health level which is life expectancy and investment has a positive effect on the productivity level of the regional economy. The analysis result also shows that the health variable has a bigger magnitude compared to the education and physical capital investment variables. Based on the result, it can be concluded that the effect of human capital is very important in increasing economic productivity in the region.

Download Full-text

The Impact of Foreign Direct Investment on Income Convergence in China - A Spatial Panel Data Analysis

Journal of Economics and Management Sciences ◽

10.30560/jems.v4n4p1 ◽

2021 ◽

Vol 4 (4) ◽

pp. p1

Author(s):

Di Zhu ◽

Yefei Li ◽

Ejimofor Bruno Chiedozi ◽

Hui Pan

Keyword(s):

Economic Growth ◽

Growth Factors ◽

Panel Data ◽

Population Growth ◽

Regional Economic Growth ◽

Income Convergence ◽

Fixed Asset ◽

Spatial Durbin Model ◽

Regional Economic ◽

Fixed Asset Investment

After taking into account the spatial dependence effects in the panel data consisting of all 31 provinces, direct-controlled municipalities, and autonomous regions in China between the years 1998 and 2017, it found significant spatial autocorrelation effects in both traditional absolute and conditional β income convergence models. At the national level, using the spatial econometric models (Spatial Error Model for absolute convergence and Spatial Durbin Model for conditional convergence), the analysis shows that in the past 19 years from 1999 to 2017, there is no absolute β income convergence. However, there is conditional β income convergence after controlling for all growth factors, while the positive effect of fixed asset investment on regional economic growth is significant, and the effect of population growth is significantly negative. The other growth factors such as FDI inflow, export, and higher education enrollment were surprisingly found no statistically significant effects on regional economic growth. From regional level (Spatial Durbin Model and Spatial Lag Model), there is no conditional β income convergence within each four economic regions. Nonetheless, the northeast region showed an income divergence trend, where only the fixed asset investment is positively significant. This study results imply that China should continue to improve fixed asset investment and control population growth to stimulate regional economic growth and income convergence.

Download Full-text