How foreign direct investment affects CO 2 emission levels in the Chinese manufacturing industry: Evidence from panel data

2018 ◽  
Vol 42 (2) ◽  
pp. 320-331 ◽  
Author(s):  
Bongsuk Sung ◽  
Woo-Yong Song ◽  
Sang-Do Park
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Manufacturing Industry ◽  
Chinese Manufacturing Industry

scholarly journals Environmental Regulation, Two-Way Foreign Direct Investment, and Green Innovation Efficiency in China’s Manufacturing Industry

2018 ◽  
Vol 15 (10) ◽  
pp. 2292 ◽  
Author(s):  
Zhijun Feng ◽  
Bo Zeng ◽  
Qian Ming
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Environmental Regulation ◽  
Direct Investment ◽  
Manufacturing Industry ◽  
Green Innovation ◽  
Negative Effects ◽  
Positive Effects ◽  
The Impact ◽  
Positive Effect

This paper adopts 2009 to 2015 panel data from 27 manufacturing industries in China. A Super-SBM model is used to measure the green innovation efficiency (GIE) of China’s manufacturing industry. A panel data model is then built to systematically examine the impact of environmental regulation (ER) and two-way foreign direct investment (FDI) on the GIE of China’s manufacturing industry under a unified analysis framework. The results are as follows: (1) the overall level of the green innovation efficiency in China’s manufacturing is low, and there is still great potential for improvement. Considering industry heterogeneity, the green innovation efficiency of patent-intensive manufacturing is significantly higher than that of non-patent-intensive manufacturing; (2) in terms of the whole manufacturing industry, ER and the interaction between ER and outward foreign direct investment (OFDI) have significantly negative effects on GIE, OFDI has significantly positive effects on GIE. (3) when considering industry heterogeneity, for patent-intensive manufacturing, ER and the interaction between ER and inward foreign direct investment (IFDI) have significantly negative effects on GIE, while IFDI has significantly positive effect on GIE. For non-patent-intensive manufacturing, ER and the interaction between ER and OFDI have significantly negative effects on GIE, while IFDI and the interaction between ER and IFDI have significantly positive effects on GIE.

scholarly journals The Relationship Between Foreign Direct Investment and Industrialization: A Study on Turkey

2017 ◽  
Author(s):  
Harun Bal ◽  
Erhan İşcan ◽  
Ahmet Kardaşlar
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Foreign Investment ◽  
Direct Investment ◽  
Manufacturing Industry ◽  
Positive Relationship ◽  
Industrial Output ◽  
The Relationship ◽  
And Storage

This study examines the relation between Foreign Direct Investment (FDI) and industrialization by analysing 6 different sector groups in Turkey using panel data of 2004-2012 period. The effect of labor, domestic and foreign investment on industrial output of the 6 sector which are Agriculture, Forestry and Fisheries; Mining and Quarrying; Manufacturing Industry; Electricity; Construction; Transportation and Storage Activities, has been analysed. The results show that there is a meaningful and positive relationship between sectoral employment and FDI with sectoral production for all sectors.

DETERMINAN PENANAMAN MODAL ASING LANGSUNG DI ASEAN

2012 ◽  
Vol 7 (1) ◽  
pp. 75
Author(s):  
Joko Susanto
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Data Model ◽  
Direct Investment ◽  
Multinational Enterprises ◽  
Statistical Data ◽  
Regression Equation ◽  
Panel Data Model ◽  
Market Size ◽  
Research Analysis

This research analysis the factors’ that determine the foreign directinvestment (FDI) in ASEAN’s countries especially Indonesia, Malaysia, Philippine and Thailand during 1990-2009. Multinational Enterprises’ (MNE) must decideto choose a locationfor relocating its’ factory by market seeking dan resources seeking strategy. Based on this statement, it can be obtained the regression equation with foreign direct investment is a function of market size, worker’s productivity and infrastructure of road. Statistical data of UNESCAP was used in this research. The regression was base on the panel data model, while the estimation was based on common effects model. This results showthat the market size, worker’s productivity and availability of infrastructure road could be an importance consideration for MNE’s in their choice for FDI.Keywords: foreign direct investment, market size, worker’s productivity, infrastructure of road

scholarly journals Allocation of foreign direct investment across brazilian states

2013 ◽  
Vol 43 (2) ◽  
pp. 241-269 ◽  
Author(s):  
Maurício Mesquita Bortoluzzo ◽  
Sergio Naruhiko Sakurai ◽  
Adriana Bruscato Bortoluzzo
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Foreign Investment ◽  
Direct Investment ◽  
Transport Infrastructure ◽  
Market Size ◽  
Consumer Market ◽  
Determining Factors ◽  
Econometric Study

Foreign direct investment (FDI) has become increasingly important for the Brazilian economy: the ratio of FDI inflow to the country's gross domestic product (GDP) increased from a 0.6% average in the 1980's to 2.5% from 2001 to 2010, according to data from UNCTAD. However, there is great inequality in the distribution of this investment among Brazilian federation units. This study aims at investigating the determining factors for the location of foreign direct investment across Brazilian states, based on an econometric study with panel data for the years 1995, 2000 and 2005. The results showed that foreign investment responded positively to consumer market size, quality of labor and transport infrastructure, but negatively to cost of labor and tax burden.

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