THE EFFECTS OF ENVIRONMENTAL REGULATION ON EXPORTERS’ EXITING BEHAVIOR: THE EVIDENCE FROM CHINA

2019 ◽  
Vol 64 (02) ◽  
pp. 301-321 ◽  
Author(s):  
DONGMEI TU ◽  
YAO LI ◽  
YONG ZENG
Keyword(s):  
Environmental Regulation ◽  
Manufacturing Firms ◽  
Pollution Haven Hypothesis ◽  
Difference In Difference ◽  
Difference Analysis ◽  
Pollution Haven ◽  
Weak Evidence ◽  
Heterogeneous Firm ◽  
Exit Behavior ◽  
The Impact

This study investigates the impact of stricter environmental regulation on export exit behavior of Chinese manufacturing firms from 1998 to 2009. After controlling heterogeneous firm, we find that (i) on average, the stricter regulation has not significantly caused more export exit; (ii) under stricter policy, foreign invested pure (or pollution intensive) exporters are not more likely to exit export than domestic pure (or pollution intensive) exporters; (iii) only weak evidence supports the pollution haven hypothesis for domestic pure exporters. All our robustness checks such as difference in difference analysis, different regulation measurement, and matched firm analysis show similar results.

scholarly journals IMPACT OF TRADE OPENNESS ON ENVIRONMENT IN CHINA

2020 ◽  
Vol 21 (4) ◽  
pp. 1185-1202 ◽  
Author(s):  
Wen Jun ◽  
Hamid Mahmood ◽  
Muhammad Zakaria
Keyword(s):  
Carbon Emission ◽  
Trade Openness ◽  
Wavelet Coherence ◽  
Coherence Analysis ◽  
Pollution Haven Hypothesis ◽  
Causality Test ◽  
Pollution Haven ◽  
Analysis Phase ◽  
The Impact ◽  
Wavelet Coherence Analysis

The study investigates the impact of trade openness on pollution in China by applying wavelet-coherence analysis, phase-difference technique and Breitung and Candelon (2006) causality test. The estimated results provide some dynamic association between trade openness and pollutant variables. The results indicate that trade openness has increased pollution in China especially after 2001 when China became member of WTO. It suggests that “pollution haven hypothesis” exists in China. These results imply that trade openness has increased exports which has increased domestic production by increasing the scale of industries, which in turn has increased pollution in the country. The findings of spectral domain causality test show that trade openness causes carbon emission both in short, medium and long runs. It indicates that trade openness forecast carbon emissions in China. The results suggest that China should take suitable measures while following trade openness policy to avoid pollution.

scholarly journals Spin-off and market share in the Indonesian Islamic banking industry: a difference in difference analysis

2017 ◽  
Vol 12 (4) ◽  
pp. 540-551 ◽  
Author(s):  
M. Nur Rianto Al Arif
Keyword(s):  
Market Share ◽  
Banking Industry ◽  
Control Group ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Difference In Difference ◽  
Difference Analysis ◽  
Business Units ◽  
Conventional Banks ◽  
The Impact

Abstract According to The Act No. 21 of 2008 concerning Islamic Banking in Indonesia, the conventional banks are obligated to spun-off their Islamic business units after achieving a certain set of requirements. The spin-off requirements are: (i) reach 50% market share asset of its parents; or (ii) 15 years after the implementation of the Islamic Banking Act. This study emphasizes the impact of Islamic banks' spin-off on market share. The method used in this study is a difference in difference analysis. This technique is a quasi-experiment separate into two groups, such as the treatment groups (four spin-offs' banks) and control group (two fullfledged Islamic banks). This study used quarterly data from 2005 until 2016. The results show that, first, there is a difference in the Islamic banks' market share between pre- and post-spinoff. Second, there is a difference in the market share of spin-offs' banks between pre- and postspin- off. Third, there are there external factors that can affect the Islamic banks' market share, i.e., inflation rate, interest rate, and economic growth rate. The paper is a useful source of information that may provide relevant guidelines in helping the future development of spin-off activity in Islamic banking industry. The finding could be helpful for policymakers to create a supporting strategy to accelerate the development of Islamic banking industry. This result also could be of use for Islamic banking industries in other countries.

Environmental regulation and the Pollution Haven Hypothesis: Do environmental regulation measures matter?

2018 ◽  
Vol 202 ◽  
pp. 993-1000 ◽  
Author(s):  
Jing Yang ◽  
Huanxiu Guo ◽  
Beibei Liu ◽  
Rui Shi ◽  
Bing Zhang ◽  
...  
Keyword(s):  
Environmental Regulation ◽  
Pollution Haven Hypothesis ◽  
Pollution Haven

The Impact of Foreign Direct Investment on CO2 Emission

2017 ◽  
pp. 81-92 ◽  
Author(s):  
Oguzhan Aydemir ◽  
Feyyaz Zeren
Keyword(s):  
Foreign Direct Investment ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Panel Data Analysis ◽  
Panel Cointegration ◽  
Pollution Haven Hypothesis ◽  
Pollution Haven ◽  
Carbon Dioxide Co2 ◽  
The Impact ◽  
Pollution Halo Hypothesis

In the literature, the impact of Foreign Direct Investment (FDI) on carbon dioxide (CO2) emissions is explained by two different hypotheses: Pollution Halo and Pollution Haven Hypothesis. While Pollution Halo hypothesis states that FDI provides advanced technology to countries and accordingly decreases CO2 emissions, Pollution Haven Hypothesis indicates that there is a positive relationship between FDI and CO2. In this regard, in this study, the impact of FDI on CO2 emissions in the selected 10 of G-20 countries in the period of 1970-2010 is investigated by using panel data analysis. The empirical findings show that panels have cross-section dependence and these two panels are stationary in different levels. Moreover, the existence of long term relationship between panels is found by using Durbin Hausmann panel cointegration test. The results of the study also show that while Pollution Halo Hypothesis is valid for USA, France and Argentina, Pollution Haven Hypothesis is valid for UK, Canada, Australia, South Africa, Italy, Mexico and Saudi Arabia.

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