Do financial development, trade openness, economic development, and energy consumption affect carbon emissions for an emerging country?

Khan, Abdul Gaffar; Hossain, Md. Afzal; Chen, Songsheng

doi:10.1007/s11356-021-13339-1

Cited by 43 publications

(15 citation statements)

References 35 publications

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“…1 reveal that in percentage form this figure reflects the progress of 43%. This result reflects the previous study of decomposition analysis (Hossain and Chen 2020;Hossain et al 2020aHossain et al , 2020bKhan et al 2021;Xiong et al 2016aXiong et al , 2016bSu et al 2017;Li and Zheng 2011;Wen et. al.…”

Section: Population Factor Effectssupporting

confidence: 91%

The decoupling study of agricultural energy-driven CO2 emissions from agricultural sector development

Hossain

Chen

2021

Int. J. Environ. Sci. Technol.

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The purpose of the research paper is to investigate the relationship between agricultural development and agricultural energydriven CO 2 emissions. To achieve this purpose, we have taken Bangladesh as the subject of our case study, and appraisal is done by two methods, the Tapio decoupling method, and the logarithmic mean Divisia index method. The result discloses that Bangladesh's agricultural sector was strongly and weakly decoupled from agricultural sector development in most of the periods between 1990 and 2017. The population factor, the agricultural energy intensity factor, and the agricultural economic activity factor are the responsible factors to increase CO 2 emissions. On the other hand, the agricultural economic structure factor, the agricultural energy structure factor, and the agricultural emissions factor are accountable for the decrease of CO 2 emissions. Finally, this paper provides some policies to create practical strategies for agricultural CO 2 emission reduction. This research paper will help Bangladesh's agricultural sector to form sustainable economic development. KeywordsThe agricultural energy-driven CO 2 emissions • Bangladesh • The Tapio decoupling model • The LMDI decompositions model * S. Chen

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Section: Population Factor Effectssupporting

confidence: 91%

The decoupling study of agricultural energy-driven CO2 emissions from agricultural sector development

Hossain

Chen

2021

Int. J. Environ. Sci. Technol.

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“…We, however, recommend that with robust, sustainable environmental policies and a legal quality regime, the effect of FDI inflow on CO 2 emissions can be mitigated in line with the Sustainable Development Goals (SDGs). The findings of this study are consistent with the findings in the recent literature on the FDI-CO 2 emissions nexus (Acheampong et al, 2019;Ahmad et al, 2016;Ahmadalipour et al, 2019;Halliru et al, 2021;Ibrahim & Ajide, 2021;Khan et al, 2021;Sahbi & Shahbaz, 2014;Shahbaz et al, 2019;Solarin et al, 2018;Vitenu-Sackey, 2020) The remainder of this study is structured in the following order. In Section 2, the study will discuss the relevant literature underlying the problem statement.…”

Section: Introductionsupporting

confidence: 90%

“…Notably, the pollution paradigm hypothesis suggests that the weakness in institutional and environmental policies in less developed economies is the push (attracting) factors informing multinational corporations using pollution-intensive production technologies to escape costly environmental protection policies and controls in their home countries. This phenomenon weighs in on the scale effect of pollution through multinational companies' operational and production activities in the host country (Copeland & Taylor, 2004;Grossman & Krueger, 1991;Ibrahim & Ajide, 2021;Khan et al, 2021;Sibanda & Ndlela, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Many studies have examined trade openness and carbon emissions per capita from several perspectives. Studies including (Antweiler et al, 2001;Khan et al, 2021;Sinha & Sen, 2016;Sun et al, 2019) have mentioned that trade openness and capital liberalization can help reduce carbon emissions. Market competition from and among foreign firms encourages local firms to adopt efficient production measures which are environmentally friendly.…”

Section: Literature Reviewmentioning

confidence: 99%

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CO2 Emissions, Legal Strength & Environmental Sustainability Policies; And FDI Nexus In Sub-Saharan Africa

Asiedu

Aboagye

Arthur

et al. 2022

Preprint

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The study employed the two steps systems GMM technique to examine the effect of FDI inflow in 54 countries in Africa from 2004 -2020. The effects of FDI on the economy and growth are positive, provided that policymakers meet minimum conditions. The advantages of FDI are conditioned by the ability of the host country to assimilate technologies and by a local environment that is secure and transparent. The effects of FDI on the environment are inescapable. The results show that there is indeed a positive relationship between FDI inflows and CO2 emissions in Africa. The results also show that the intensity of CO2 emissions does depend on the increase in GDP growth (economic growth). However, with robust, sustainable environmental policies and legal quality, the effect of FDI inflow on CO2 emissions can be mitigated.

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“…It can also stimulate economic growth through technological innovation [ 7 ]. Khan et al discussed the influence of national culture dimension on financial development [ 8 ]. Chen et al discussed the impact of capital flows on the financial development of some African countries from 1999 to 2014 and examined the relationship between two different forms of capital flows and economic development.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Empirical Analysis of Financial Depth and Width Based on Convolutional Neural Network

Zhang

2021

Computational Intelligence and Neuroscience

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There are great differences in financial and economic development in different regions. In different time series and different regions, the effects of financial depth and width on economic development are also different. This paper selects neural network to establish the economic benefit model of financial depth and breadth, which can deeply explore the relationship between financial data and economic data. In order to determine the optimal convolutional neural network parameters, the optimal convolutional neural network parameters are determined through comparative simulation analysis. The convolutional neural network model based on the optimal parameters is applied to the empirical analysis of the effect of financial and economic development in X region. In order to obtain the optimal convolutional neural network parameters, different convolution layers, convolution core size, and convolution core number are compared and simulated. The convolutional neural network model with optimal parameters is used to simulate the financial and economic data of X region. The simulation results show that the density of financial personnel has a certain impact on economic development, so it is necessary to improve the comprehensive quality of financial personnel and promote regional economic development. Therefore, this paper seeks an effective method to study the effect of financial breadth and depth on economic development which can provide a feasible idea for the in-depth research method of financial and economic development.

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Do financial development, trade openness, economic development, and energy consumption affect carbon emissions for an emerging country?

Cited by 43 publications

References 35 publications

The decoupling study of agricultural energy-driven CO2 emissions from agricultural sector development

The decoupling study of agricultural energy-driven CO2 emissions from agricultural sector development

CO2 Emissions, Legal Strength & Environmental Sustainability Policies; And FDI Nexus In Sub-Saharan Africa

[Retracted] Empirical Analysis of Financial Depth and Width Based on Convolutional Neural Network

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Do financial development, trade openness, economic development, and energy consumption affect carbon emissions for an emerging country?

Cited by 43 publications

References 35 publications

The decoupling study of agricultural energy-driven CO2 emissions from agricultural sector development

The decoupling study of agricultural energy-driven CO2 emissions from agricultural sector development

CO2 Emissions, Legal Strength &amp; Environmental Sustainability Policies; And FDI Nexus In Sub-Saharan Africa

[Retracted] Empirical Analysis of Financial Depth and Width Based on Convolutional Neural Network

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CO2 Emissions, Legal Strength & Environmental Sustainability Policies; And FDI Nexus In Sub-Saharan Africa