Abstract
The study proposes a Gender Equality Index for Country Regions (GEICR), which aims to provide a comprehensive approach to the quantitative measurement of gender equality and social development in a sub-national setting and to show how resources are distributed between women and men. The GEICR includes four determinants, called pillars, twelve factors, and for each factor, a set of indicators. This approach was applied in 25 regions of Peru and the results show high statistical consistency with other similar measurements. The GEICR can be used by policymakers and other relevant stakeholders for policy and strategy design and development at the national and international levels, which is why it is an important tool for International Economic Diplomacy.
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Appendices
Appendix 1
The Gender Equality Index for Peruvian Regions—Weights Used.
Pillar | Factor | Indicator | Weight |
---|---|---|---|
Education | Educational attainment | Literacy | 0.50 |
Years of study | 0.50 | ||
Primary Education | Attendance at primary school | 0.50 | |
Primary school enrollment | 0.50 | ||
Secondary education | Attendance at secondary school | 0.50 | |
Secondary school enrollment | 0.50 | ||
Health | Access to health | Distance to the health care center | 0.34 |
National Identity Card | 0.34 | ||
Health insurance | 0.31 | ||
Morbidity | Hospitalizations | 0.50 | |
Chronic conditions | 0.50 | ||
Basic care | Medical attention at public health centers | 0.50 | |
Medicine reception | 0.50 | ||
Autonomy | Economic | Economic dependence | 0.35 |
Labor income | 0.36 | ||
Unpaid work | 0.30 | ||
Physical | Adult sexual abuse | 0.25 | |
Child sexual abuse | 0.25 | ||
Human trafficking | 0.25 | ||
Family violence | 0.25 | ||
Decision-making | Councilors | 0.37 | |
Municipal governments | 0.26 | ||
Parliament | 0.37 | ||
Opportunity | Access to higher education | University enrollment | 0.34 |
Enrollment in art higher education | 0.34 | ||
Enrollment in technological higher education | 0.33 | ||
Employment | Informality | 0.33 | |
Participation in the labor market | 0.33 | ||
Underemployment | 0.34 | ||
Use of time | Time used in paid labor | 0.36 | |
Employer | 0.30 | ||
Weekend labor | 0.34 |
Appendix 2
The Gender Equality Index for Peruvian Regions—Women’s Index by Dimension 2019.
Region | General | Education | Health | Autonomy | Opportunity |
---|---|---|---|---|---|
Ica | 48.5 | 50.2 | 49.8 | 32.2 | 61.9 |
Lima (city) | 47.9 | 56.3 | 39.8 | 41.9 | 53.7 |
Arequipa | 43.8 | 53.9 | 37.9 | 31.0 | 52.6 |
Moquegua | 42.7 | 50.1 | 38.9 | 34.2 | 47.7 |
Callao | 42.6 | 46.9 | 43.7 | 42.2 | 37.5 |
Tumbes | 42.5 | 47.1 | 39.7 | 36.2 | 47.0 |
Madre de Dios | 40.7 | 43.0 | 45.6 | 29.9 | 44.1 |
Tacna | 40.3 | 55.7 | 35.1 | 28.5 | 41.7 |
Lima (provinces) | 40.2 | 48.3 | 48.8 | 31.7 | 31.9 |
Ucayali | 39.5 | 38.9 | 45.7 | 36.3 | 37.1 |
Lambayeque | 39.1 | 37.9 | 47.2 | 41.0 | 30.1 |
PERU | 37.9 | 40.2 | 39.7 | 34.4 | 37.4 |
Piura | 37.0 | 37.4 | 44.2 | 39.6 | 26.7 |
La Libertad | 36.5 | 37.2 | 38.2 | 39.7 | 30.9 |
Áncash | 36.3 | 38.8 | 39.0 | 38.0 | 29.5 |
Junín | 35.3 | 38.6 | 40.1 | 29.3 | 33.1 |
Pasco | 35.0 | 39.1 | 39.0 | 30.9 | 31.2 |
Loreto | 32.7 | 21.5 | 39.4 | 36.6 | 33.3 |
Puno | 32.7 | 39.3 | 30.3 | 34.8 | 26.3 |
Amazonas | 30.6 | 27.0 | 36.5 | 35.7 | 23.2 |
San Martín | 29.7 | 20.8 | 40.0 | 34.8 | 23.2 |
Cusco | 28.9 | 24.3 | 28.0 | 28.7 | 34.7 |
Huánuco | 28.4 | 17.5 | 42.5 | 29.7 | 23.9 |
Ayacucho | 27.3 | 14.3 | 37.8 | 30.2 | 27.0 |
Huancavelica | 26.1 | 15.4 | 40.3 | 31.5 | 17.0 |
Apurímac | 25.7 | 19.3 | 30.6 | 29.7 | 23.2 |
Cajamarca | 25.1 | 13.4 | 37.8 | 32.2 | 16.8 |
Appendix 3
The Gender Equality Index for Peruvian Regions—Men’s Index by Dimension 2019.
Region | General | Education | Health | Autonomy | Opportunity |
---|---|---|---|---|---|
Moquegua | 59.9 | 51.4 | 45.7 | 76.4 | 66.1 |
Arequipa | 59.2 | 57.9 | 40.6 | 66.4 | 71.9 |
Ica | 57.7 | 45.9 | 52.1 | 64.5 | 68.3 |
Lima (city) | 56.7 | 52.4 | 42.3 | 64.2 | 67.7 |
Callao | 55.2 | 55.3 | 46.1 | 62.8 | 56.7 |
Madre de Dios | 55.0 | 53.0 | 50.1 | 68.4 | 48.5 |
Tacna | 54.7 | 58.6 | 38.4 | 66.6 | 55.0 |
Tumbes | 52.6 | 53.5 | 42.6 | 62.4 | 51.9 |
Pasco | 52.4 | 47.3 | 44.5 | 67.9 | 49.9 |
Áncash | 52.0 | 52.6 | 44.4 | 66.6 | 44.3 |
Lima (provinces) | 51.8 | 45.4 | 50.0 | 67.1 | 44.8 |
Lambayeque | 49.6 | 38.6 | 47.5 | 61.1 | 51.2 |
Junín | 48.6 | 40.6 | 44.1 | 63.9 | 45.9 |
PERU | 48.4 | 41.3 | 42.4 | 61.2 | 48.8 |
La Libertad | 47.9 | 41.5 | 41.2 | 62.0 | 46.9 |
Ucayali | 47.6 | 31.7 | 48.1 | 59.6 | 50.8 |
Apurímac | 47.3 | 44.1 | 35.3 | 71.8 | 38.1 |
Puno | 47.3 | 55.0 | 34.2 | 62.5 | 37.3 |
Piura | 44.8 | 35.6 | 45.3 | 59.2 | 39.1 |
Cusco | 44.4 | 36.3 | 31.6 | 59.5 | 50.5 |
Amazonas | 44.3 | 36.7 | 36.8 | 69.7 | 34.0 |
Huancavelica | 43.7 | 30.7 | 42.4 | 74.1 | 27.6 |
Ayacucho | 42.6 | 28.9 | 42.0 | 68.3 | 31.0 |
San Martín | 41.4 | 27.9 | 41.6 | 62.8 | 33.3 |
Loreto | 41.3 | 27.3 | 40.2 | 57.6 | 40.1 |
Huánuco | 40.7 | 26.1 | 45.7 | 62.9 | 28.1 |
Cajamarca | 39.0 | 26.5 | 41.0 | 60.4 | 28.2 |
Appendix 4
The Gender Equality Index for Peruvian Regions—Gender Gap by Dimension 2019.
Region | General | Education | Health | Autonomy | Opportunity |
---|---|---|---|---|---|
Piura | −7.9 | 1.8 | −1.1 | −19.6 | −12.4 |
Ucayali | −8.0 | 7.2 | −2.4 | −23.3 | −13.7 |
Loreto | −8.6 | −5.8 | −0.8 | −21.0 | −6.8 |
Lima (city) | −8.7 | 3.9 | −2.5 | −22.4 | −14.0 |
Ica | −9.2 | 4.3 | −2.3 | −32.3 | −6.5 |
Tumbes | −10.1 | −6.4 | −2.9 | −26.2 | −4.9 |
PERU | −10.5 | −1.1 | −2.7 | −26.8 | −11.4 |
Lambayeque | −10.5 | −0.7 | −0.2 | −20.1 | −21.1 |
La Libertad | −11.4 | −4.3 | −3.1 | −22.3 | −16.0 |
Lima (provinces) | −11.6 | 2.8 | −1.2 | −35.3 | −12.8 |
San Martín | −11.7 | −7.1 | −1.5 | −28.0 | −10.2 |
Huánuco | −12.3 | −8.6 | −3.3 | −33.2 | −4.2 |
Callao | −12.7 | −8.4 | −2.3 | −20.6 | −19.2 |
Junín | −13.3 | −1.9 | −4.0 | −34.6 | −12.8 |
Amazonas | −13.7 | −9.6 | −0.4 | −34.0 | −10.8 |
Cajamarca | −14.0 | −13.0 | −3.2 | −28.2 | −11.4 |
Madre de Dios | −14.3 | −9.9 | −4.5 | −38.5 | −4.4 |
Tacna | −14.4 | −2.9 | −3.3 | −38.0 | −13.3 |
Puno | −14.6 | −15.7 | −3.9 | −27.7 | −10.9 |
Ayacucho | −15.2 | −14.6 | −4.2 | −38.1 | −4.0 |
Arequipa | −15.4 | −4.0 | −2.7 | −35.4 | −19.3 |
Cusco | −15.5 | −12.0 | −3.6 | −30.7 | −15.8 |
Áncash | −15.6 | −13.7 | −5.4 | −28.5 | −14.8 |
Moquegua | −17.1 | −1.3 | −6.7 | −42.2 | −18.4 |
Pasco | −17.3 | −8.2 | −5.5 | −37.0 | −18.7 |
Huancavelica | −17.6 | −15.3 | −2.1 | −42.5 | −10.6 |
Apurímac | −21.6 | −24.8 | −4.7 | −42.2 | −14.8 |
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Avolio, B., del Carpio, L. (2022). Gender Equality Index for Country Regions (GEICR). In: Charles, V., Emrouznejad, A. (eds) Modern Indices for International Economic Diplomacy. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-84535-3_5
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