AEA RCT Registry

Trial Information

General Information

Title

Measurement of the population density and carbon dioxide emissions in African countries at different income levels

RCT ID

AEARCTR-0001040

Initial registration date

February 16, 2016

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published

February 16, 2016, 6:42 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Country

Nigeria

Region

Africa

Primary Investigator

Name

Abdulrasaki Saka

Affiliation

Middlesex University, London

Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status

On going

Start date

2016-02-15

End date

2016-02-19

Keywords

Environment & Energy

Additional Keywords

population-density, carbon-dioxide-emissions, environmental impacts and African countries.

JEL code(s)

JEL Code(s)

Secondary IDs

ISRCT

Abstract

Abstract

Most research on population and environment nexus concentrates on population growth and carbon dioxide emissions. Little research considers population density, and how it interacts with carbon dioxide emissions within a relationship. Thus, this research investigates the net impact of population density on carbon dioxide emissions across African countries and sees how this impact varies with per capita income. First, a conceptual framework of the structure of a relationship between population density, final consumption expenditure (annual growth), manufacturing sector and services sector value added as a component of GDP are synthesized from the IPAT to the STIRPAT model literature into an augmented STIRDCMS model. A panel equation modelling techniques were used to analyze the data. The empirical findings provided support for the conceptual framework, the findings suggest that the average effect of population density over CO2 emissions, when the population density change across time and between countries in LICA, increases by 1%, CO2 emissions increase by about 0.196% and reduce CO2 emissions by about 0.19% and 0.22% for LIMCA UICA respectively, holding all other predictors constant. An implication for both future researchers and decision makers are that this would expectedly heighten the awareness of the policy makers and the general public to equip a counterattack to possible severe environmental impacts in LICA. To the future researchers, this study can provide baseline information on the recent status of population density-CO2 emissions relationship. Furthermore, this study would be beneficial to the literature. It would provide the necessary information on the different driving forces of the environmental impacts in Africa.

External Link(s)

Registration Citation

Citation

Saka, Abdulrasaki. 2016. " Measurement of the population density and carbon dioxide emissions in African countries at different income levels." AEA RCT Registry. February 16. https://doi.org/10.1257/rct.1040-1.0

Former Citation

Saka, Abdulrasaki. 2016. " Measurement of the population density and carbon dioxide emissions in African countries at different income levels." AEA RCT Registry. February 16. https://www.socialscienceregistry.org/trials/1040/history/6845

Sponsors & Partners

Experimental Details

Interventions

Intervention(s)

The study investigates the role of population density on carbon dioxide emissions in African countries at different income levels.

Intervention Start Date

2016-02-15

Intervention End Date

2016-02-19

Primary Outcomes

Primary Outcomes (end points)

The key outcome variable of interest in this experiment is environmental impacts measured by carbon dioxide emissions per capita.

Primary Outcomes (explanation)

The outcome variable of this experiment was constructed by the World Bank, and sourced from the World Bank Indicators.

Secondary Outcomes

Secondary Outcomes (end points)

Secondary Outcomes (explanation)

Experimental Design

Most research on population and environment nexus concentrates on population growth and carbon dioxide emissions. Little research considers population density, and how it interacts with carbon dioxide emissions within a relationship. Thus, this research investigates the net impact of population density on carbon dioxide emissions across African countries and sees how this impact varies with per capita income. First, a conceptual framework of the structure of a relationship between population density, final consumption expenditure (annual growth), manufacturing sector and services sector value added as a component of GDP are synthesised from the IPAT to the STIRPAT model literature into an augmented STIRDCMS model. A panel equation modelling techniques were used to analyse the data. The empirical findings provided support for the conceptual framework, the findings suggest that the average effect of population density over CO2 emissions, when the population density change across time and between countries in LICA, increases by 1%, CO2 emissions increase by about 0.196% and CO2 emissions reduce by about 0.19% and 0.22% for LIMCA UICA respectively, holding all other predictors constant. An implication for both future researchers and decision makers are that this would expectedly heighten the awareness of the policy makers and the general public to equip a counterattack to possible severe environmental impacts in LICA. To the future researchers, this study can provide baseline information on the recent status of population density-CO2 emissions relationship. Furthermore, this study would be beneficial to the literature. It would provide the necessary information on the different driving forces of the environmental impacts in Africa.

Experimental Design Details

Most research on population and environment nexus concentrates on population growth and carbon dioxide emissions. Little research considers population density, and how it interacts with carbon dioxide emissions within a relationship. Thus, this research investigates the net impact of population density on carbon dioxide emissions across African countries and sees how this impact varies with per capita income. First, a conceptual framework of the structure of a relationship between population density, final consumption expenditure (annual growth), manufacturing sector and services sector value added as a component of GDP are synthesised from the IPAT to the STIRPAT model literature into an augmented STIRDCMS model. A panel equation modelling techniques were used to analyse the data. The empirical findings provided support for the conceptual framework, the findings suggest that the average effect of population density over CO2 emissions, when the population density change across time and between countries in LICA, increases by 1%, CO2 emissions increase by about 0.196% and CO2 emissions reduce by about 0.19% and 0.22% for LIMCA UICA respectively, holding all other predictors constant. An implication for both future researchers and decision makers are that this would expectedly heighten the awareness of the policy makers and the general public to equip a counterattack to possible severe environmental impacts in LICA. To the future researchers, this study can provide baseline information on the recent status of population density-CO2 emissions relationship. Furthermore, this study would be beneficial to the literature. It would provide the necessary information on the different driving forces of the environmental impacts in Africa.

Randomization Method

Randomization done by the World Bank.

Randomization Unit

Data collected from the World Bank were cross-sectional time series data.

Was the treatment clustered?

Yes

Experiment Characteristics

Sample size: planned number of clusters

51 sovereign African countries.

Sample size: planned number of observations

Over 2000 planned number of observations, but depend on the model specifications.

Sample size (or number of clusters) by treatment arms

Manufacturing sector value added as a percentage of GDP, services sector as a percentage of GDP and final consumption government expenditure were controlled, population density as treatment.

Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

The empirical findings provided support for the conceptual framework, the findings suggest that the average effect of population density over CO2 emissions, when the population density change across time and between countries in LICA, increases by 1%, CO2 emissions increase by about 0.196% and CO2 emissions reduce by about 0.19% and 0.22% for LIMCA UICA respectively, holding all other predictors constant.

Supporting Documents and Materials

IRB

Institutional Review Boards (IRBs)

IRB Name

IRB Approval Date

IRB Approval Number

Analysis Plan

Measurement of the population density and carbon dioxide emissions in African countries at different income levels

Pre-Trial

General Information

Locations

Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Registration Citation

Interventions

Primary Outcomes

Secondary Outcomes

Experimental Design

Experiment Characteristics

Institutional Review Boards (IRBs)

Post-Trial

Study Withdrawal

Intervention

Data Publication

Program Files

Relevant Paper(s)

Reports & Other Materials