Research Questions:

Q1: Is there any Relationship between Sectoral Workforce Percentage and That Specific Sector GDP contribution?

Q2: Is there any Effect of Gender (Male/Female) on Sectoral Contribution to GDP?

Statistical Techniques to Use:

For each of the sector, perform separately:

Q1: Correlation between Workforce % and Share of GDP; repeat correlation for all 3 sectors.

Q2: apply regression to find out is there any significant effect of male/female on GDP share of that specific sector.

Table-1: Percentage of Workforce in Each Sector & Sectoral Contribution to GDP [2000-2005]

AgricultureAgri GDPIndustrialIndustrial GDPServicesServices GDP
CountryMaleFemaleWorkers %ShareMaleFemaleWorkers %ShareMaleFemaleWorkers %Share
Egypt283933.51523614.54649555239
Ghana60505538141514.523273631.539
Madagascar77797828766.516161515.556
South Africa137103331423.530547966.567
Uganda607768.533115825281722.543
Bangladesh505954.52012181527382330.553
Indonesia43454413201517.546374038.541
Malaysia161113.5935273152496255.540
Pakistan386551.5222216192540203053
South Korea7983341725.540597466.556
Philippines45253514171214.532396451.553
Thailand444142.510221920.544344137.546
Vietnam50605521211417.541232624.538
Columbia3282013211618.534477661.553
Costa Rica215139261319.530538267.562
Mexico215134301924.526497662.570
Nicaragua431026.5191917182838524553
United Kingdom211.513392126659077.573
United States211.513010202268907977

(Source: World Bank, World Development Indicators (2007); taken from “Developmental Economics” Self-Instructional Material of MA (Economics) Course of Alagappa University, India; pp.121-122))

Q1: The Relationship between Workforce Percentage and That Specific Sector GDP contribution is Presented in Following Table-2 Correlation Matrix:

Table-2: Consolidated Correlation Matrix

 Agri Workforce %Industrial Workforce %Services Workforce %Agri GDP ShareIndustry GDP ShareServices GDP Share
Agri Workforce %1
Industrial Workforce %-0.780641
Services Workforce %-0.975090.6494691
Agri GDP Share0.87904-0.73348-0.859811
Industry GDP Share-0.19610.482180.096956-0.29471
Services GDP Share-0.612070.2552560.674492-0.63404-0.5511

Findings:

  1. Agricultural Sector’s Workforce Percentage is strongly Correlated to Agricultural Sector GDP Contribution (0.879).
  2. Agricultural Sector’s Workforce Share is not Related to Industrial sector’s Workforce share or Services sector’s workforce share. They have negative correlations.
  3. However, Industrial sector workforce share is Positively strongly Correlated to Services Sector Workforce share (Correlation Coefficient: 0.64).
  4. That means, the growth of industries leads to growth in services sector.
  5. Agri GDP share is not related to Industrial GDP share or Services GDP share.
  6. Industrial Workforce share is Positively related to Industrial GDP share and also weakly positively related to Services GDP share.
  7. Services Workforce share is Positively strongly related to Services GDP share.
  8. Agricultural, Industrial or Services GDP shares are not related to each other. All experienced negative correlations.
  9. Regression of Agri workforce share, Industrial Workforce and Services workforce share on Agri GDP Share were not having any effect. (p-value>0.05)
  10.  Similarly agri workforce share, industrial workforce share or services workforce share have no effect on Industrial GDP share or Services GDP share (p-value>0.05) in regression calculation.

Q2: Effect of Male/Female Workforce % on Agricultural GDP share:

Table-3: Regression of Male/Female workforce % on Agricultural GDP share

SUMMARY OUTPUT
Regression Statistics
Multiple R0.893869
R Square0.799002
Adjusted R Square0.773878
Standard Error5.075636
Observations19
ANOVA
 DfSSMSFSignificance F
Regression21638.544819.271831.801462.66E-06
Residual16412.193325.76208
Total182050.737   
 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept-0.275452.323399-0.118560.907103-5.200844.649933-5.200844.649933
Male0.3502660.1062963.2951980.0045650.1249290.5756030.1249290.575603
Female0.0885430.0818691.0815220.295497-0.085010.262099-0.085010.262099

Table-4: Regression of Male/Female Workforce % on Industrial GDP share

SUMMARY OUTPUT
Regression Statistics
Multiple R0.500874
R Square0.250875
Adjusted R Square0.157235
Standard Error9.025106
Observations19
ANOVA
 dfSSMSFSignificance F
Regression2436.4435218.22182.6791280.099182
Residual161303.24181.45254
Total181739.684   
 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept16.644497.140182.3311020.0331511.50798131.780991.50798131.78099
Male0.2815810.2780531.0126860.32628-0.307870.871028-0.307870.871028
Female0.6555040.4307111.5219110.147548-0.257561.568571-0.257561.568571

Table-5: Regression of Male/Female workforce % on Services GDP share

SUMMARY OUTPUT
Regression Statistics
Multiple R0.676769
R Square0.458017
Adjusted R Square0.390269
Standard Error9.452449
Observations19
ANOVA
 dfSSMSFSignificance F
Regression21208.104604.05186.7606040.007445
Residual161429.58189.34879
Total182637.684   
 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept31.443847.7455564.0595980.00091115.02447.8636915.02447.86369
Male0.311140.3374180.9221210.370162-0.404151.026435-0.404151.026435
Female0.1587520.1824060.8703250.396993-0.227930.545435-0.227930.545435

Findings:

  1. From Table-3, P-value<0.05 indicates that Male Workforce share has significant impact over Agricultural GDP Share.
  2. In other Regression Calculations, because P-Value>0.05, there is no significant effect of Male workforce share or female workforce share on Industrial GDP share or Services GDP share. Only in case of Agricultural GDP share, male workforce has significant impact over Agricultural GDP contribution. (see Table-4 and Table-5).

Thus the above explained are the relationships between workforce Percentages and GDP shares of Agriculture, Industrial and Services sectors.

Hope this is useful.

Thank You,

Dr.Goparaju Purna Sudhakar

(https://gpsudhakar.com)

References:

  1. World Bank, World Development Indicators (2007); taken from “Developmental Economics” Self-Instructional Material of MA (Economics) Course of Alagappa University, India; pp.121-122.  

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