Economic growth, FDI inflows and their impact on the environment: an empirical study for the MENA countries

Abdouli, Mohamed; Hammami, Sami

doi:10.1007/s11135-015-0298-6

Cited by 101 publications

(44 citation statements)

References 56 publications

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“…This is consistent with the results of previous studies. Abdouli and Hammami [54] showed that advanced high-level technologies can reduce the level of environmental pollution. The coefficient of the impact of per capita energy consumption on SO 2 and SD emissions is significantly positive, indicating that SO 2 and SD emission intensity increase with the increase of per capita energy consumption.…”

Section: Discussionmentioning

confidence: 99%

Spatial Heterogeneity Influences of Environmental Control and Informal Regulation on Air Pollutant Emissions in China

Zhang

Song

et al. 2020

IJERPH

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High air pollutant emissions in China have become serious environmental issues threatening public health. While spatial heterogeneity plays an important role in environmental regulation in China, it is necessary to analyze the spatial heterogeneity influences of air pollution control policies and informal environmental regulation on air pollutant emissions in China. Based on the quantification of air pollution control policies, this paper incorporates the central government’s policy formulation and local government’s policy implementation into the intensity of air pollution control policy. This paper uses the panel data of China’s 30 provinces to examine the spatial impact of air pollution control policy and informal environmental regulation on air pollutant emissions. The results show that (a) air pollutant emissions represented by soot and dust emission intensity has a significant positive spatial spillover effect; (b) air pollution control policy and informal environmental regulation play significant inhibitory roles in air pollutant emissions; (c) informal environmental regulation has a negative moderating effect on the negative relationship between air pollution control policy and air pollutant emissions. Other implications for environmental management have also been discussed.

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Section: Discussionmentioning

confidence: 99%

Spatial Heterogeneity Influences of Environmental Control and Informal Regulation on Air Pollutant Emissions in China

Zhang

Song

et al. 2020

IJERPH

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“…The core view is that to attract foreign capital inflows, countries will gradually lower their environmental standards and appear to "race to the bottom line". Developed countries have higher environmental standards than developing countries, so the polluting industry will be transferred from developed to developing countries, and developing countries will become "pollution havens" (Walter and Ugelow [24]), Asghari [25], Abdouli et al [26]), which confirms that FDI caused a decline in the environmental quality of the host country.…”

Section: Literature Reviewmentioning

confidence: 99%

Bootstrap ARDL Test on the Relationship among Trade, FDI, and CO2 Emissions: Based on the Experience of BRICS Countries

Chang

et al. 2020

Sustainability

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We used the Bootstrap Autoregressive Distributed Lagged Model (ARDL) method to test the relationship among BRICS (Brazil, Russia, India, China, and South Africa) countries’ trade, foreign direct investment (FDI), and CO2 emissions. We found that Brazil’s CO2 emissions and FDI have a cointegration relationship with the trade on the lag of one-period. Russia and India and CO2 emissions and trade have a cointegration relationship with FDI on the lag of one-period. In the long-term, Brazil’s FDI has a long-term causal relationship with the trade on the lag of one-period. The trade between Russia and India has a long-term causal relationship with FDI on the lag of one-period. Among other BRICS variables, Russian trade and FDI on the lag of one-period of CO2 emissions and FDI and CO2 emissions are on the lag of one-period on trade, which McNown et al. mentioned is the degeneration case #1 in their paper; while China’s trade and FDI on the lag of one-period of CO2 emissions is the country of degeneration case #2. When we examined short-term causality, we found that CO2 emissions showed a causal relationship with trade, while FDI and CO2 emissions were less pronounced. Trade has a positive causal relationship with FDI. These variables are different in different situations and in different countries. These results should be related to BRICS countries’ FDI, international trade development, and their different CO2 emission policies.

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“…A larger scale of foreign capital investment in a region may indicate a higher level of openness in regions. Rapid industrial expansion will generate a corresponding increase in energy consumption [14,29]. In fact, the energy consumption in the CPUA region is mainly caused by coal burning, which generates high levels of industrial SO 2 and dust.…”

Section: Data Collection and Variable Descriptionmentioning

confidence: 99%

Spatial Spillover Effects of Environmental Pollution in China’s Central Plains Urban Agglomeration

et al. 2018

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Promoting the rise of Central China is one of the most important national strategies regarding the promotion of China's economic development. However, the environmental issues in the central regions have become remarkably severe. It is therefore worthwhile exploring how economic development and environmental protection can be coordinated. Focusing on the 29 prefecture-level cities in the Central Plains Urban Agglomeration, the authors empirically analyze the relationship between the economy and the environment from 2004 to 2014. The combined methods of the spatial autocorrelation model, the environmental Kuznets curve, and the global spatial correlation test are systematically employed. The results show that: (1) a strong spatial correlation exists between industrial wastewater discharge, industrial sulfur dioxide, and dust emissions in the Central Plains Urban Agglomeration; (2) the relationship between the economy and the environment of this urban agglomeration reveals an inverted "U" curve, which confirms the classical environmental Kuznets curve hypothesis. Industrial dust emissions have surpassed the inflection point of the Kuznets curve, but its spatial spillover effect still remains strong. This is caused by an accumulation effect and a lag effect; (3) the proportion of the secondary industry and population has a strong positive effect on pollution discharge; investments in science and technology have a certain inhibitory effect on industrial sulfur dioxide emission. Moreover, an increase in the number of industrial enterprises has a negative effect on industrial wastewater emission. At the end, the authors put forward policy recommendations regarding the establishment of a joint supervisory department and unified environmental standards at the regional level to deal with the spillover effects of pollution.

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Economic growth, FDI inflows and their impact on the environment: an empirical study for the MENA countries

Cited by 101 publications

References 56 publications

Spatial Heterogeneity Influences of Environmental Control and Informal Regulation on Air Pollutant Emissions in China

Spatial Heterogeneity Influences of Environmental Control and Informal Regulation on Air Pollutant Emissions in China

Bootstrap ARDL Test on the Relationship among Trade, FDI, and CO2 Emissions: Based on the Experience of BRICS Countries

Spatial Spillover Effects of Environmental Pollution in China’s Central Plains Urban Agglomeration

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