Regional Sustainability ›› 2023, Vol. 4 ›› Issue (3): 296-308.doi: 10.1016/j.regsus.2023.08.007cstr: 32279.14.j.regsus.2023.08.007
• Full Length Article • Previous Articles Next Articles
Sadat Daaki SSEKIBAALA*(), Twaha Ahmed KASULE
Received:
2023-03-06
Revised:
2023-06-04
Accepted:
2023-08-29
Published:
2023-09-30
Online:
2023-10-20
Contact:
*E-mail address: Sadat Daaki SSEKIBAALA, Twaha Ahmed KASULE. Examination of the poverty-environmental degradation nexus in Sub-Saharan Africa[J]. Regional Sustainability, 2023, 4(3): 296-308.
Fig. 1.
Conceptual model for the relationship between poverty and environmental degradation. R1 represents exogenous conditioning factors that directly determine poverty; R2 represents exogenous conditioning factors that directly determine environmental degradation; H1 represents that poverty causes environmental degradation; H2 represents that environmental degradation causes poverty; H3a represents that poverty influences the environmental degradation endogenous factors of fossil fuel energy use and fuelwood energy use; H3b represents that the fuel energy use and fuelwood energy use further influence air pollution and land degradation; H4a represents that air pollution influences health; H4b represents that land degradation influences agricultural productivity; and H5 represents that environmental degradation induces poverty."
Table 1
Definition of the variables relating to poverty-environmental degradation nexus."
Variable | Description | Data source | |
---|---|---|---|
Poverty gap index | Poverty gap at 1.90 USD per day is the mean shortfall in income or consumption from the poverty line 1.90 USD per day (counting the non-poor as having zero shortfall), expressed as a percentage of the poverty line. This indicator shows the intensity of poverty in a country. | World Bank, World Development Indicator (WDI) with the website of https://data.world bank.org/indicator/SI.POV.GAPS | |
Per capita CO2 emissions | This is measured as the total CO2 produced by a country divided by the population of the country. | Global Carbon Atlas with the website of https://globalcarbonatlas.org/emissions/ carbon-emissions/ | |
Particulate matter (PM2.5) emissions | This represents percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) guideline of PM2.5, which is not greater than 5.0 μg/m3. | World Bank, WDI with the website of https://data.worldbank.org/indicator/EN. ATM.PM25.MC.ZS | |
Rate of deforestation | The rate of deforestation is measured by loss of forested area between the previous year (period 0) and the current year (period t). | World Bank, WDI with the website of https://data.worldbank.org/indicator/AG. LND.FRST.K2 | |
Fossil fuel energy use | Proxy for energy consumption is the fossil fuel energy consumption. It comprises of fossil fuels such as coal, petroleum, and natural gas products. | International Energy Agency (IEA) Statistics with the website of https://www.ie a.org/data-andstatistics/datasets?filter=emi ssions | |
Firewood energy use | Firewood energy use is measured by cubic meters of fuelwood consumption by households (m3/household). | United Nations Data with the website of https://data.un.org/Data.aspx?d=EDATA&f=cmID%3AFW%3BtrID%3A1231 | |
Population growth rate | Annual population growth rate for year t is the exponential growth rate of the midyear population from year t-1 to year t (%). | Penn World Tables 10.01 with the website of https://www.rug.nl/ggdc/productivity/pwt/?lang=en | |
Education | Education is measured by gross enrolment ratio for primary school education (%). | United Nations Educational, Scientific and Cultural Organization (UNESCO) Statistics with the website of http://data.uis. unesco.org/ | |
Industrialization | It comprises value added in mining, manufacturing, construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. Data adopted 2015 prices (USD). | World Bank, WDI with the website of https://data.worldbank.org/indicator/NV. IND.TOTL.KD | |
Income inequality | Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. | Standardized World Income Inequality Database (SWIID) by Solt ( | |
Household health expenditure | Share of out-of-pocket payments to total current health expenditures. Out-of-pocket payments refer to the direct out-of-pocket expenses by households. | Global Health Expenditure of the (WHO) with the website of https://apps.who.int/nha /database/ViewData/Indicators/en | |
Infant mortality rate | The Infant mortality rate is the number of infants dying before reaching one year of age per 1000 live births in a given year. | World Bank, WDI with the website of https://data.worldbank.org/indicator/SP. DYN.IMRT.IN | |
Agriculture productivity | Value of gross production has been compiled by multiplying gross production in physical terms by output prices at farm gate. Thus, value of agriculture productivity measures production in monetary terms at the farm gate level. | Food and Agriculture Statistics (FAOSTAT) with the website of https://www.fao.org/fao stat/en/#home | |
Control of corruption | The extent to which public power is exercised for private gain, including all forms of corruption (Kaufman et al., 2010). | World Bank, World with the website of Governance Indicators https://info.worldbank.org/governance/wgi/ | |
Government effectiveness | The perceptions on the quality of public services and civil services, the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies (Kaufman et al., 2010). | World Bank, WDI with the website of https://info.worldbank.org/governance/wgi/ | |
Democracy | The Combined Polity IV score contains annual information on regime and authority characteristics. The polity score is computed by subtracting the autocracy score from the democracy score, resulting in unified polity scale. | Polity IV: Project Center for Systemic Peace with the website of https://www.sys temicpeace.org/inscrdata.html | |
Freedom and civil liberty | Annual aggregate scores for freedoms, political rights, and civil liberty. It is composed of numerical ratings published since 1973. | Freedom House with the website of https:// freedomhouse.org/report/freedom-world |
Table 2
Summary statistics of the variables used in this study."
Variable | Number of observations | Mean | Standard deviation | Minimum | Maximum |
---|---|---|---|---|---|
Poverty gap index | 902 | 19.0776 | 13.6456 | 10.1000 | 64.9000 |
Per capita CO2 emissions | 902 | 0.9442 | 1.8207 | 0.0169 | 9.8360 |
PM2.5 emissions | 902 | 35.6614 | 14.0291 | 14.1179 | 94.0538 |
Rate of deforestation | 902 | 2.1961 | 0.6472 | -0.4584 | 3.5615 |
Fossil fuel energy use | 902 | 2.1647 | 0.8341 | 0.4000 | 4.0602 |
Firewood energy use | 902 | 4.1171 | 1.9860 | 1.0886 | 12.0895 |
Household health expenditure | 902 | 41.6410 | 20.8724 | 2.9932 | 84.6068 |
Infant mortality rate | 902 | 67.6888 | 28.1019 | 11.6000 | 155.8000 |
Agriculture productivity | 902 | 101.0560 | 15.1480 | 56.3100 | 182.5500 |
Population growth rate | 902 | 2.5576 | 0.9689 | 0.6280 | 8.1170 |
Industrialization | 902 | 10.7066 | 5.9671 | 0.2326 | 35.2155 |
Income inequality | 902 | 2.9755 | 2.6487 | 0.2330 | 35.2150 |
Government effectiveness | 902 | 28.7284 | 20.3027 | 5.1400 | 83.0601 |
Control of corruption | 902 | 32.7914 | 22.5839 | 2.5903 | 86.0576 |
Freedom and civil liberty | 902 | 49.0033 | 21.7500 | 6.0000 | 91.0000 |
Democracy | 902 | 2.3902 | 5.4007 | -9.0000 | 10.0000 |
Table 3
Results of the hypothesis H1 that poverty causes environmental degradation in Sub-Saharan Africa (SSA)."
Variable | Dependent variable: environmental degradation | ||
---|---|---|---|
Per capita CO2 emissions | PM2.5 emissions | Rate of deforestation | |
LDVED | 0.9215*** (0.0751) | 0.7885*** (0.0256) | 1.7951*** (0.0212) |
Poverty gap index | -0.0082 (0.0326) | 0.0860*** (0.0217) | 0.0135*** (0.0033) |
Fossil fuel energy use | 0.0015 (0.0046) | -0.1213** (0.0524) | 0.0401 (0.0383) |
Firewood energy use | 0.0129* (0.0050) | -0.0216 (0.0224) | -0.0906** (0.0051) |
LPOV·FFEU | 0.0011 (0.0036) | 0.0010 (0.0013) | -0.0001 (0.0003) |
LPOV·FWEU | -0.0017 (0.0050) | 0.0058* (0.0027) | 0.0047** (0.0017) |
Population growth rate | 0.0224*** (0.0033) | 0.0108* (0.0033) | 0.0012** (0.0002) |
Education | 0.0220 (0.1004) | -0.1077 (0.1222) | -0.0381*** (0.0022) |
Industrialization | 0.0035* (0.0004) | 0.0049* (0.0003) | -0.0044** (0.0006) |
Income inequality | 0.0185** (0.0135) | 0.0149*** (0.0043) | 0.0014* (0.0006) |
Government effectiveness | -0.0527* (0.0149) | -0.0286 (0.0079) | -0.0021** (0.0009) |
Control of corruption | 0.0107 (0.0487) | 0.0216 (0.0247) | 0.0090* (0.0010) |
Freedom and civil liberty | -0.0029 (0.0030) | -0.0023 (0.0027) | -0.0004 (0.0013) |
Democracy | -0.0199 (0.0314) | -0.0209*** (0.0063) | -0.0005* (0.0003) |
Constant | -1.7232** (0.8607) | 0.5904*** (0.2333) | -0.0173** (0.0109) |
Diagnostic tests | |||
AR (1) | [0.0050] | [0.0670] | [0.0100] |
AR (2) | [0.4900] | [0.3880] | [0.1610] |
Hansen-J-test | [0.2370] | [0.0590] | [0.1930] |
Year dummies | Yes | Yes | Yes |
Number of observations | 777 | 777 | 777 |
Number of countries | 41 | 41 | 41 |
Table 4
Results of hypothesis H2 that environmental degradation causes poverty in SSA."
Variable | Explanatory variables: environmental degradation | ||||||
---|---|---|---|---|---|---|---|
Per capita CO2 emissions | PM2.5 emissions | Rate of deforestation | |||||
LDVP | 0.8671*** (0.1226) | 0.9534*** (0.0419) | 0.9513*** (0.0128) | ||||
Environmental degradation | -0.0250 (0.0657) | 0.5351** (0.0327) | 1.4799* (0.1122) | ||||
Household health expenditure | 0.0288 (0.0265) | -0.0080 (0.0098) | 0.0061 (0.0074) | ||||
Infant mortality rate | 0.0236** (0.0110) | 0.1137* (0.0228) | 0.0024 (0.0064) | ||||
Agriculture productivity | 0.0138 (0.0808) | 0.0089 (0.0729) | 0.0147** (0.0346) | ||||
LED·HHE | 0.1485*** (0.0380) | 0.0572** (0.0240) | 0.2101* (0.0183) | ||||
LED·IMR | -0.0072 (0.1523) | 0.0926* (0.0146) | 0.0099 (0.0190) | ||||
LED·AP | -0.0252 (0.0808) | -0.0455 (0.0729) | -0.0885*** (0.0346) | ||||
Population growth rate | 0.0091** (0.0037) | 0.0027* (0.0019) | 0.0042* (0.0024) | ||||
Education | -0.0637* (0.0094) | -0.0534 (0.0070) | -0.0115 (0.0452) | ||||
Industrialization | -0.0214*** (0.0070) | -0.0285* (0.0076) | 0.0152* (0.0043) | ||||
Income inequality | 0.0375 (0.0324) | 0.0580** (0.0285) | 0.0657*** (0.0100) | ||||
Government effectiveness | -0.0478* (0.0078) | -0.00429*** (0.0024) | -0.0089** (0.0014) | ||||
Control of corruption | 0.0031 (0.0077) | 0.0141* (0.0096) | 0.0076 (0.0099) | ||||
Freedom and civil liberty | -0.0001 (0.0017) | -0.0163* (0.0081) | -0.0141** (0.0089) | ||||
Democracy | -0.1526* (0.0507) | -0.1258* (0.0866) | -0.0652 (0.0604) | ||||
Constant | 1.2307*** (0.8556) | -3.1929*** (1.5877) | 0.3065** (0.0363) | ||||
Diagnostic tests | |||||||
AR (1) | [0.0020] | [0.0000] | [0.0000] | ||||
AR (2) | [0.0730] | [0.4340] | [0.1520] | ||||
Hansen-J-test | [0.5000] | [0.5550] | [0.1530] | ||||
Year dummies | Yes | Yes | Yes | ||||
Number of observations | 777 | 820 | 820 | ||||
Number of countries | 41 | 41 | 41 |
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