scholarly journals Returns to Scale for EU Regions – evidence from the spatial panel model

2017 ◽  
Vol 3 (329) ◽  
Author(s):  
Alicja Anna Olejnik
Keyword(s):  
Fixed Effects ◽  
Regional Growth ◽  
Returns To Scale ◽  
Increasing Returns ◽  
Increasing Returns To Scale ◽  
Spatial Panel ◽  
Panel Model ◽  
Eu Regions ◽  
Spatial Panel Model ◽  
The Eu

Recent findings emphasise the importance of localised returns to scale for the regional growth as well as for the agglomeration processes. However, it is still not well established whether returns to scale are constant or increasing, and to what extent. Therefore, in this study we apply specification which describes the productivity growth with the growth of output through the Verdoorn’s law. This study aims to provide some new estimates of the degree of returns to scale for EU regions. Our findings show that the hypothesis of increasing returns to scale is still valid in today’s EU economy. To test the hypothesis, we have employed the Multidimensional Spatial Panel Durbin Model with Spatial Fixed Effects. The research is conducted for 261 regions of the EU 28. The paper concludes that increasing returns to scale in EU regions are substantial.

scholarly journals Increasing Returns and Economic Growth of Russian Regions: Empirical Verification of Verdoorn’s Law

2020 ◽  
Vol 7 (6) ◽  
pp. 39-48
Author(s):  
Artem Isaev ◽  
Keyword(s):  
Growth Rates ◽  
Manufacturing Industry ◽  
Economies Of Scale ◽  
Regional Growth ◽  
Returns To Scale ◽  
Increasing Returns ◽  
Extended Model ◽  
Russian Regions ◽  
Increasing Returns To Scale ◽  
The Russian Federation

The paper tests the Kaldor-Verdoorn model on the base of the Russian Federation regional data for 2005–2017. According to the model, the process of regional growth has the property of cumulative causality. As a result of the benefits bringing by economies of scale, industrialized regions demonstrate faster growth rates at the expense of their economically less-advanced counterparts. Traditional and extended model specifications are examined. The extended specification additionally takes into account the presence of large agglomerations in a number of Russian regions. Estimates demonstrate the presence of cumulative causality and significant increasing returns to scale in manufacturing industry of Russian regions. Meanwhile, the study did not reveal an impact of large industrial agglomerations on the growth rates of the corresponding regions

scholarly journals The Effect of Manufacturing Agglomeration on Haze Pollution in China

2018 ◽  
Vol 15 (11) ◽  
pp. 2490 ◽  
Author(s):  
Jun Liu ◽  
Yuhui Zhao ◽  
Zhonghua Cheng ◽  
Huiming Zhang
Keyword(s):  
Industrial Structure ◽  
Spillover Effects ◽  
Eastern Region ◽  
Spatial Panel ◽  
Panel Model ◽  
Specific Analysis ◽  
Haze Pollution ◽  
Regional Haze ◽  
Spatial Panel Model ◽  
Development Levels

Based on panel data on 285 Chinese cities from 2003 to 2012, we use a dynamic spatial panel model to empirically analyze the effect of manufacturing agglomeration on haze pollution. The results show that when economic development levels, population, technological levels, industrial structure, transportation, foreign direct investment, and greening levels are stable, manufacturing agglomeration significantly aggravates haze pollution. However, region-specific analysis reveals that the effects of manufacturing agglomeration on inter-regional haze pollution depends on the region: the effect of manufacturing agglomeration on haze pollution is the largest in the Western region, followed by the Central region, and is the least in the Eastern region. Based on the above conclusions, we put forward several specific suggestions, such as giving full play to the technology and knowledge spillover effects of manufacturing agglomeration, guiding manufacturing agglomerations in a scientific and rational way, accelerating the transformation and upgrading of manufacturing industries in agglomeration regions.

scholarly journals The Determinants of Foreign Direct Investment in China: A Spatial Panel Analysis

2016 ◽  
Author(s):  
Chen-Chen Yong ◽  
Siew-Yong Yew ◽  
Xin Huang ◽  
Mui-Yin Chin
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Eastern Region ◽  
Panel Analysis ◽  
Fdi Inflows ◽  
Spatial Panel ◽  
Panel Model ◽  
Spatial Panel Model ◽  
Investment In China ◽  
Determinants Of Fdi

China is currently the major foreign direct investment (FDI) destination arising from her open door policies since 1978. FDI has become a large impetus to China’s economic growth. However, the geographical distribution of FDI in China is severely biased with 83% concentrated in the eastern region. This is a result of not only differences in locational advantages but also the result of the initiating policies and temporal differences of FDI inflows among the regions. This study aims to examine the determinants of FDI and examine empirically the possible coherent policies for the three regions of China (Eastern, Central and Western) using the spatial panel analysis for the data within the period of 1994 to 2008. The empirical results show that the determinants of FDI vary among the three regions, depending on the motives of the investor and the results of policy bias. The entrepreneurial nature of competition of FDI among the provinces revealed by the spatial FDI factor is a conclusion that cannot be ignored. A more coherent policy on FDI inflows into China is an urgent necessity, though the policies for each region must be, of necessity, different for each of the three regions.   Keywords: Foreign Direct Investment, China, Spatial panel model, spatial variables JEL: F14, C33

The influence of USD/CNY foreign exchange rate, RMB NEER and spatial effects on China’s foreign trade

2016 ◽  
Vol 6 (3) ◽  
pp. 304-318 ◽  
Author(s):  
Hua Wang ◽  
Junjun Zhu
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Export Trade ◽  
Content Type ◽  
Spatial Panel ◽  
Panel Model ◽  
Chinese Export ◽  
Import And Export ◽  
Spatial Panel Model ◽  
Percent Decline

Purpose – The purpose of this paper is to analyze the influence of different forms of RMB foreign exchange rates on Chinese foreign trade. Design/methodology/approach – This paper constructed spatial panel model and Markov Chain Monte Carlo estimation method and collected the data of 25 countries’ (including China) quarterly macroeconomic data from first quarter of 1993 until third quarter of 2013 to conduct the data analysis. Findings – This paper finds that USD/CNY, which is widely used in trade settlement, is more significant in effecting Chinese export. Totally, 1 percent appreciation of CNY against USD will lead to 1.532 percent decline of Chinese export, while 1 percent appreciation of CNY NEER only 0.42 percent. What is more, 1 percent increases of the volatility of USD/CNY results in 0.579 percent decline of Chinese export. As policy suggestions, we should further reform the foreign exchange derivative market in China, and provide more currency derivatives, so that the ability of Chinese economy to deal with foreign exchange risk could be improved. Research limitations/implications – Effect of exchange rate on imports and exports relates to the future direction of China’s exchange rate policy. This paper claims that China should accelerate the construction of foreign exchange derivatives market, improving the ability to respond quickly to foreign currency risk. Practical implications – First, denominated exchange rate has more significant impact on the Chinese export trade to other countries than effective exchange rate. Second, the RMB exchange rate fluctuations also significantly affect the export trade. Third, China’s import and export trade have significant spatial effect. Social implications – This paper recommends the construction of the RMB currency futures market as soon as possible, providing a richer foreign exchange derivatives and other risk hedging instruments, thus to enhance the ability to respond to exchange rate risks. Originality/value – This paper uses spatial panel model with the refined data to study various factors on the import and export trade, and thus more comprehensive analysis on the impact of the exchange rate on the import and export trade with other major countries.

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