scholarly journals Study on Regional Differences of Spillover Effect of Foreign RaD in China-based on Provincial Panel Data of Large and Medium Sized Industrial Enterprises

2016 ◽  
Author(s):  
Fei Wang
Keyword(s):  
Panel Data ◽  
Regional Differences ◽  
Spillover Effect ◽  
Industrial Enterprises

scholarly journals Quantile Regression for Panel Data: An Empirical Approach for Knowledge Spillovers Endogeneity

2017 ◽  
Vol 9 (7) ◽  
pp. 106 ◽  
Author(s):  
Luigi Aldieri ◽  
Concetto Paolo Vinci
Keyword(s):  
Theoretical Model ◽  
Panel Data ◽  
Quantile Regression ◽  
Knowledge Spillovers ◽  
Spillover Effect ◽  
Technology Spillovers ◽  
Significant Heterogeneity ◽  
The Core ◽  
Endogenous Regressors ◽  
Different Levels

The aim of this paper is to investigate the extent to which knowledge spillovers effects are sensitive to different levels of innovation. We develop a theoretical model in which the core of spillover effect is showed and then we implement the empirical model to test for the results. In particular, we run the quantile regression for panel data estimator (Baker, Powell, & Smith, 2016), to correct the bias stemming from the endogenous regressors in a panel data sample. The findings identify a significant heterogeneity of technology spillovers across quantiles: the highest value of spillovers is observed at the lowest quartile of innovation distribution. The results might be interpreted to provide some useful implications for industrial policy strategy.

A Study of the Impact of Innovation on Industrial Upgrading in China: A Spatial Econometric Analysis Based on China’s Provincial Panel Data

2020 ◽  
Vol 24 (3) ◽  
pp. 272-281
Author(s):  
Jiao Jiang ◽  
Xindong Zhao ◽  
◽  
Keyword(s):  
Panel Data ◽  
Industrial Structure ◽  
Spillover Effect ◽  
Theory Model ◽  
Regional Innovation ◽  
Industrial Upgrading ◽  
Logical Connection ◽  
Depth Analysis ◽  
The Impact ◽  
Industrial Structure Upgrading

This study provides an in-depth analysis of the impact of innovation on industrial upgrading from theoretical and practical perspectives. In terms of theory, based on the endogenous growth theory model, a multi-sectoral growth model is constructed to portray the inherent logical connection between innovation and industrial structure upgrading. The results show that innovation has an important impact on industrial structure upgrading. Industrial structure upgrading depends on differences in innovation level among industries and the substitution relationship of finished products in the industry. From an empirical perspective, based on the panel data of 31 provinces in China from 2005 to 2017, the spatial effect of innovation on industrial upgrading was analyzed using the spatial Durbin model. The results show that innovation and industrial structure upgrading has significant spatial correlation effects, and regional innovation can drive China’s industrial upgrading. Meanwhile, the space spillover effect is an important factor that cannot be ignored in industrial upgrading.

scholarly journals Research on Spillover Effect of Urbanization on Rural Land Transfer Based on the SDM Model of Intelligent Computing

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Fucheng Yang ◽  
Guoyong Liu
Keyword(s):  
Panel Data ◽  
Spatial Heterogeneity ◽  
Spatial Correlation ◽  
Spillover Effect ◽  
Rural Land ◽  
Spatial Agglomeration ◽  
Intelligent Computing ◽  
Land Transfer ◽  
Southern Xinjiang

In order to explore the spillover effect of urbanization on rural land transfer, this paper uses the panel data of various regions and cities in Xinjiang from 2008 to 2018. Moran's I method is used to test and analyze the spatial correlation between urbanization and farmland transfer. Intelligent computing SDM is used to analyze the spillover effect of urbanization on farmland transfer. The results show that there is spatial correlation between farmland transfers in Xinjiang. There is spatial heterogeneity in the spatial agglomeration of urbanization and farmland transfer in northern and southern Xinjiang. The content of this paper can provide some reference and ideas for follow-up research.

scholarly journals Spillover Effect Penanaman Modal Asing terhadap Output Perusahaan Domestik Indonesia 2007-2013

2020 ◽  
Vol 1 (2) ◽  
pp. 85
Author(s):  
Samuel Kharis Harianto ◽  
Suyanto Suyanto ◽  
Sugeng Hariadi
Keyword(s):  
Panel Data ◽  
Foreign Investment ◽  
Productivity Growth ◽  
Manufacturing Industry ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Spillover Effect ◽  
Annual Survey ◽  
Data Survey ◽  
Medium Enterprises

Abstract—This study aims to analyze Foreign Investment which gives spillover impact on productivity growth of Indonesian manufacturing industry companies in 2007-2013. This study applies the application of quantitative analysis, using the data of the Annual Survey of Large and Medium Enterprises of the Central Statistics Agency of Indonesia (BPS). The data was processed by applying the method of panel data analysis and OLS regression. This research shows that PMA holistically gives a positive impact and gives different impacts to manufacturing industry sub-sector. With different findings, in each sector, different regulations related to PMA in Indonesian manufacturing industry are needed. Keywords: foreign investment, spillover, productivity, manufacturing industry.   Abstrak—Penelitian ini bertujuan untuk menganalisis Penanaman Modal Asing (PMA) yang memberikan dampak spillover pada pertumbuhan produktivitas perusahaan- perusahaan industri manufaktur Indonesia periode 2007-2013. Dalam penelitian ini diterapkan pengaplikasian analisis kuantitatif dengan menggunakan data Survey Tahunan Perusahaan Besar dan Menengah Badan Pusat Statistika Indonesia (BPS). Data diolah dengan menerapkan metode analisis panel data dan regresi OLS. Hasil penelitian dengan menggunakan analisis data panel menunjukkan bahwa PMA memberikan dampak positif secara menyeluruh dan memberikan dampak yang berbeda-beda terhadap subsektor industri manufaktur. Dengan hasil temuan yang berbeda di setiap sektornya, maka diperlukan adanya kebijakan yang berbeda pula terkait peraturan PMA di industri manufaktur Indonesia. Kata kunci: penanaman modal asing, spillover, produktivitas, industri manufaktur

Export Spillover Effects: Evidence from Vietnam

2019 ◽  
Vol 10 (4) ◽  
pp. 1213
Author(s):  
Ngo Ngoc MINH
Keyword(s):  
Maximum Likelihood ◽  
Panel Data ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Standard Errors ◽  
Likelihood Estimator ◽  
Heckman Model ◽  
The North ◽  
High Level ◽  
Robust Standard Errors

The purpose of this paper is to examine export spillover effects from foreign invested enterprises (FIEs) to domestic manufacturing and processing firms in the North of Vietnam. The paper extracted panel data from comprehensive surveys on manufacturing and processing enterprises in the North of Vietnam conducted by the General Statistics Office in 2016-2018 period including 14,664 observations. The two export equations of the Heckman model were estimated simultaneously by the Maximum Likelihood Estimator method (MLE) and used strong standard errors (Robust Standard Errors). The empirical results showed that the presence of FIEs created a spillover effect on Vietnam’s decision to export goods. Moreover, the export spillover effect depends on the characteristics of domestic enterprises. Particularly, private enterprises with old ages or owns a high level of capitalization will benefit from export spillover effects.

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