Social Development Index 2018 ( )

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Transcription:

Social Development Index 2018 (23-5-2018)

Social Development Index 2018 Introduction to Social Development Index

Introduction to Social Development Index (SDI) A system of objective indicators including: 14 Domains of Development 5 Population Groups By using the data in 1991 (SDI=100) as the benchmark, SDI aims to track local social development and assess overall social and economic needs. Indexes serve as warning signals, drawing the public attention to specific patterns of development of various domains and groups. SDI 2018 uses the data in 2016 to describe the social development of Hong Kong in 2016. 3

Standardized Weighted SDI Scores (1991-2016) 2016 (SDI 2018) 2014 (SDI 2016) 2012 (SDI 2014) 2010 (SDI 2012) 2008 (SDI 2010) 2006 (SDI 2008) 2004 (SDI 2006) 2002 (SDI 2004) 2000 (SDI 2002) 1998 (SDI 2000) 1996 (SDI 1998) 1991 (Benchmark) 100 121 130 140 146 160 174 172 191 197 205 206 90 110 130 150 170 190 210 This is the first record of stagnation in 18 years since the Social Development Index was first published, under a condition of prosperous economic development. 4

Social Development Index 2018 Report on SDI and sub-indexes with Major Observation 5

Overview of Social Development Sub-indexes (2016) 500 400 409 413 474 300 200 100 50 58 87 108 146 148 205 218 292 0-100 -200-114 -300-400 -342 Housin g Family Solidar ity Art & Enterta inment Enviro nmenta l Quality Politica l Partici pation Sports & Recrea tion Person al Safety Health Crime & Public Safety Econo mic Civil Society Educat ion Scienc e & Techno logy 2016 (SDI 2018) -342-114 50 58 87 108 146 148 205 218 292 409 413 474 Interna tionaliz ation 6

Social Development Trends by Sub-index (2006-2016) 400 200 0-200 -400-600 -800-1000 Housing Arts & Entertai nment Sports & Recreati on Environ mental Quality Persona l Safety Science & Technol ogy Political Particip ation Internati onalizati on Civil Society Crime & Public Safety2 Family Solidarit y Educati on 2006 (SDI2008) 97 58 98 53 15 320 89 339 139 107-535 296 32 53 2008 (SDI2010) 86 52 92 67 77 280 60 362 191 78-903 361 61 89 2010 (SDI2012) -5 54 111 122 151 372 60 378 250 52-311 387 65 135 2012 (SDI2014) -106 84 98 85 131 386 83 410 260 146-221 304 133 147 2014 (SDI2016) -238 88 161 76 150 424 83 444 270 187-148 321 110 148 2016 (SDI2018) -342 50 108 58 146 413 87 474 292 205-114 409 148 218 compare with 2014 & 2016 Health Econom ic -43.5% -43.3% -33.1% -23.6% -3.2% -2.7% 4.0% 6.8% 8.5% 9.4% 22.5% 27.1% 34.0% 47.4% 7

Major Observation In the past decade, the strong economic development of Hong Kong with an unimproved severe income disparity, suggests that the economic benefits enjoyed by the grassroots are limited. The drop of the sub-index of Housing has been one of the major causes of the decline of SDI. The housing problem faced by the grassroots has become one of the structural causes of the local poverty. 8

Sub-index - Economic (2006 2016) 2006 2008 2010 2012 2014 2016 Per capita GDP at constant 2015 market prices (+) Gross international reserves (months of import coverage *) (+) Percentage of total household income earned by bottom 50% of households (+) 267,111 286,227 295,265 309,201 323,999 333,601 18.6 22.0 28.7 27.9 26.4 36.0 17.7 17.5 16.8 17.3 17.6 16.8 * Reserves is expressed in terms of the number of months of imports of goods and services Hong Kong can pay for [Reserves/(Imports/12)]. 9

Strong economic development Unimproved income disparity 360,000 17.7 17.5 16.8 17.3 17.6 16.8 20 340,000 15 333,601 320,000 323,999 10 300,000 309,201 280,000 286,227 295,265 5 260,000 267,111 2006 2008 2010 2012 2014 2016 Per capita GDP at constant 2015 market prices % of total household income earned by bottom 50% of households 0 10

Supplementary Data Unimproved Severe Income Disparity Gini Coefficient 1 (2006 2016) 2006 2011 2016 0.533 0.537 0.539 Census and Statistics Department <Hong Kong 2016 Population By-census : Household Income Distribution in Hong Kong> Notes 1 : Gini Coefficient is to measure the income disparity and commonly used by other economies. Gini Coefficient takes a value between 0 and 1. In general, the higher the Gini Coefficient, the more the disparity it implies 11

Sub-index - Housing (2006 2016) 2006 2008 2010 2012 2014 2016 Expenditure on housing as share of total household expenditure(-) No. of waiting list applicants for Housing Authority rental flats(-) 30.6 30.6 32.8 32.8 32.8 35.8 106,575 111,264 145,000 189,500 248,100 284,800 Continuous decline in Housing Index is due partially to increasing proportion of housing expenses in total household expenses. Households have to reduce other living expenses to afford housing. There is an increasing number of cases on the waiting list of public rental housing. 12

Supplementary Data Number of waiting list applicants for housing authority rental flats and average waiting time in year by year (2006-3/2018) No. of Applicants 300,000 No. of Years 278,500 284,800 282,900 272,300 6 250,000 228,400 248,100 4.7 5.1 5 200,000 152,400 189,500 3.7 3.9 4 150,000 100,000 129,100 107,300 111,600 114,400 97,400 2 2 2 1.8 1.8 1.9 3 2.6 2.7 137,900 116,900 121,900 101,700 150,500 147,300 153,300 3 2 50,000 53,700 61,900 64,500 64,000 69,700 79,800 1-2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 No.of waiting list applicants for Housing Authority rental flats General Applications Average waiting time (Year) Hong Kong Housing Authority < Survey on Public Rental Housing Applicants > 0 13

Supplementary Data Actual Public Housing Production in Past 10 Years 21,000 20,674 19,000 17,000 15,759 15,000 13,000 15,112 14,782 13,114 14,057 14,264 14,293 11,000 9,000 11,186 9,938 Hong Kong Housing Authority Website, 2018 14

Supplementary Data Change of Private Domestic Rental Indexes (2006 2016) 200.0 150.0 100.0 90.1 91.6 100.5 101.8 113.2 115.7 102 100.4 120.7 119.7 137.1 134 149.6 142.6 163.6 154.5 171.8 159.5 187.4 184.8 172.8 168.2 50.0 0.0 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Class A flats (saleable area less than 40 sq m) All classes flats Rating and Valuation Department Website, 2018 15

Supplementary Data Average monthly housing expenses and its proportion to total monthly household expenditure of households of the lowest 50% expenditure 2009/10 2014/15 Households in public housing Households in private housing Households in public housing Households in private housing Households with lowest 50% expenditure $1,100 (11.7%) $5,397 (42.1%) $1,568 (13.2%) $7,608 (44.4%) Enquired data from the Census and Statistics Department, 2017 16

Sub-index Family Solidarity (2006 2016) 2006 2008 2010 2012 2014 2016 Marriages per 100,000 persons aged 15+ (+) 849 780 849 953 878 768 Divorces as % of marriages (-) 34.7 37.6 34.6 35.0 35.5 34.4 Reported domestic violence cases per 100,000 households (-) 211.87 319.34 143.56 120.44 94.23 80.2 Trend Scores -535-903 -311-221 -148-114 Though in a growing trend, index of Family Solidarity remains at negative level of development. It impacts the development of Children and Youth, as revealed by the unfavorable results in the corresponding Population Group Indexes. 17

Social Development Index 2018 Social Development of 5 Population Groups 18

Social Development of Population Groups 2016-400 -200 0 200 400 600 800 1000 Elderly Women Low-income Youth Children 19

Trend of Social Development of Population Groups by Year (2006-2016) 1000 800 600 400 200 0-200 -400 Children Youth Low-income Women Elderly 2006 (SDI 2008) -250-20 -50 333 361 2008 (SDI 2010) -292 23-16 358 428 2010 (SDI 2012) -327 10-44 377 524 2012 (SDI 2014) -278 65-9 441 666 2014 (SDI 2016) -251 106-20 492 775 2016 (SDI 2018) -244 104-19 450 859-1.76% -8.63% Compare with 2014 & 2016 3.02% -1.76% 3.20% -8.63% 10.87% 20

Population Groups Youth Percentage of youth aged 15-19 in low-income households (-) Percentage of youth aged 15-19 with upper secondary and above educational attainment (+) Percentage of persons aged 15-24 studying full-time courses at tertiary education (+) 2006 2008 2010 2012 2014 2016 26.6 26.4 27.3 26.0 24.4 24.2 82.9 84.9 85.8 87.5 88.8 88.6 21.4 22.9 27.2 27.4 33.3 36.2 Youth unemployment Rate (-) 21.9 16.0 20.8 13.8 12.5 13.8 Arrest persons 16-20 for violent crimes per 100,000 (-) Prevalance of drug use among persons 15-19 per 100,000 (-) The number of suicide in 10-19 age group per 100,000 (-) 317.8 257.2 263.9 249.0 174.1 145.1 460.8 593.5 499.5 287.8 155.8 108.2 3.8 2.8 3.5 2.8 2.9 4.0 21

2006 2008 2010 2012 2014 2016 2006 2008 2010 2012 2014 2016 2006 2008 2010 2012 2014 2016 Supplementary Data Suicide Rate by Age Group 1 (Rate) Age 10-19 Suicide Rate (Rate) Age 20+ Suicide Rate (Rate) Age 60+ Suicide Rate 5 4 3 3.77 2.75 3.46 2.75 4 2.87 25 20 15 21.02 16.1 16.33 16.81 13.92 15.08 35 30 25 20 33.67 25.98 25.88 23.03 20.31 22.19 2 10 15 1 5 10 5 0 0 0 Notes 1: By Would Health Organization (WHO) definition, suicide rate is the number of suicides per 100,000 people of specific age groups for specific year. The number of suicide cases is acquired from the Hong Kong Judiciary, divided by the specific age population acquired from the Census and Statistics Department, times 100,000. 22

Population Groups Children 2006 2008 2010 2012 2014 2016 Percentage of children aged 0-14 in low-income households (-) Percentage of children living in single parent households (-) Under age 5 child mortality per 1000 live births (-) Child abuse cases per 100,000 population aged 0-17 (-) Children 10-15 arrested per 100,000 population aged 10-15(-) 25.8 25.3 24.8 25 23.9 23.3 8.23 8.8 9.31 8.89 8.64 8.63 2.74 3.13 2.67 2.3 2.45 2.56 67.45 77.96 92.40 85.45 84.66 87.64 909.46 890.45 844.19 682.39 457.99 337.63 23

Population Groups Women 2006 2008 2010 2012 2014 2016 Percentage of females in low income domestic households among females in domestic households (-) Labour force participation rate of married females aged 15 and over (+) Median monthly employment earnings of females as a percentage of median monthly employment earnings of males (+) Percentage of female administrators and managers among all administrators and managers (+) Percentage of District Board political positions occupied by women (+) 18.5 18.2 18.0 17.8 17.1 17.3 50.4 51.1 50.2 52.1 53.6 53.4 69.6 70.8 75.0 69.0 73.3 66.7 29.4 29.4 30.7 32.9 33.5 32.5 17.8 19.3 19.3 19.2 19.2 18.3 24

Supplementary Data Median Monthly Employment Earnings of Employed Persons by Year by Sex 3 (2006-2016) (HK Dollars) 20,000 18,000 15,000 10,000 9,300 11,500 11,000 13,000 14,000 5,000 0 2006 2011 2016 Median monthly employment earnings by female Median monthly employment earnings by male Note 3 : data excluding foreign domestic helpers Census and Statistics Department, 2017 <Women and Men in Hong Kong> 25

Supplementary Data Median Monthly Employment Earnings of Employed Persons by Occupation by Sex (2006 2016) (HK Dollars) 16,000 14,900 16,000 12,000 10,500 11,000 11,800 8,800 13,000 9,800 11,000 8,000 4,000 7,000 7,000 7,000 5,000 5,500 6,000 7,000 8,000 8,500 0-2006 2008 2010 2012 2014 2016 Note: Data excluding foreign domestic helpers Female elementary occupations Male elementary occupations Overall median monthly employment earnings Census and Statistics Department, 2017 <Women and Men in Hong Kong> 26

Supplementary Data Median Monthly Employment Earnings of Employed Persons by Age by Year by Sex (2006-2016) 15-19 20-29 30-39 40-49 50-59 >=60 Overall median employment earnings 2006 2011 2016 Female 5,000 6,000 3,000 Male 5,000 6,500 5,500 Female 9,000 10,000 13,000 Male 8,500 10,000 14,000 Female 13,000 14,500 18,000 Male 13,600 15,000 20,000 Female 9,500 12,000 15,000 Male 14,000 15,700 21,300 Female 6,500 8,500 12,000 Male 11,000 13,000 19,000 Female 5,000 6,900 8,700 Male 8,000 10,000 13,000 10,500 12,000 16.000 Census and Statistics Department, 2017 <Women and Men in Hong Kong> 27

Population Groups Low-income 2006 2008 2010 2012 2014 2016 Number of persons in lowincome domestic households per 100,000 (-) Percentage of household expenditure on housing and food for the low-income group (-) Unemployment rate of persons in low-income households (-) Real Wage Index of wage workers (+) Homeless persons per 100,000 population (-) 18,500 18,200 17,900 17,600 17,000 17,000 60.5 60.5 62 62 62 64.5 22.1 17.2 20.1 16 15.9 15.5 116.4 115.4 113.5 118.9 115.8 120.7 5.25 5.38 5.59 7.76 10.89 12.38 28

Major Observations from the Population Groups There is a decline in development in Youth and Women among the 5 Population Groups. The declining trend of Youth is mainly caused by the rising youth unemployment rate and youth suicide rate. The disadvantageous situation of women is revealed by the overall declining trend across all indicators, in particular in terms of gender gaps in economic participation and income. The Council believes the unpaid family work has its value and creates positive impacts to the society. While the current retirement protection system benefits only those with paid work, women, who usually engage in non-paid housework, are in disadvantageous situation in the existing retirement protection. The sub-indexes of Children and Low-income Group are still at a negative level. Several indicators in Children are on a positive trend, but the rising under age 5 child mortality rate and child abuse reveals the need to strengthen child protection. The number of persons living in low income households remain stable, but their unfavourable situation is revealed by the increasing percentage of household expenditure on housing and food. Although the government launched the Low Income Working Family Allowance Scheme in 2016 (now as Working Family Allowance Scheme), the housing burden borne by the grassroots may limit the positive effect of the measure. 29

Recommendations To deal with the structural causes of poverty 1. The trial provision of social housing of HKCSS, service agencies and social enterprises has drawn the public s attention and support. However, the government should take a more proactive role in facilitating the development of social housing, especially in providing funding and land supply support. 2. To drive for adequate and stable supply of public rental housing in a long-run, the government should explore if the Housing Authority can work with the Urban Renewal Authority to build new public housing in urban renewal sites. This can also help to have a more balanced community development in the urban area. In addition, the government should be cautious at the Green Form Subsidised Home Ownership Scheme and consider the risk and affordability of the grassroots at home ownership. 3. The Landlord and Tenant (Consolidation) Ordinance should be reviewed, given the severe imbalanced bargaining power between owners and tenants in the rental market. 4. The current CSSA system has been implemented for more than 20 years. It is time for the government to review and make reasonable adjustments to the significantly changing living conditions of the people. Comprehensive reviews on CSSA should cover the mechanism and level of CSSA, the definitions of basic living, and the sufficient subsidy level in maintaining basic and adequate life of the people. 5. Establish a retirement protection covering unpaid workers so that their basic retirement life is guaranteed. 30

Recommendations Provide caregiver-oriented support services, enhance family functioning and provide protection for younger people 1. Aiming at alleviating the unfavourable employment situations born by women, and caregivers are mainly women nowadays, who are employed mainly as part-time and casual workers, the Council proposes, in addition to providing caregiver allowance, that the government should provide caregiver-oriented support services. 2. Support families with special needs to restore and maintain the functioning of families. For example, the government should promote the model of co-parenting and strengthen related policies and services to support separating and divorced couples. 3. Setting up of authority in settling alimony for divorced couples to ensure stable family income for basic living of younger people of the family. Strengthening direct services for child and youth protection 1. Increase the number of school social workers to 2 for prevention and alleviation of students mental health issues so that school social workers would have more space to provide groupwork, activities and peer support network to outreach and identify students in need, and thus provide immediate support to them. 2. Increase Child and Adolescent Psychiatric Service. 3. Specific task force should be set up under the Youth Development Committee in dealing with the causes of stress and provide suggestions to related education policies. 4. Review on the existing service gaps of Comprehensive Child Development Services to provide better protection to abused children 31

Acknowledgement (in alphabetical order) Agriculture, Fisheries and Conservation Department Census and Statistics Department Civil Service Bureau Constitutional and Mainland Affairs Bureau Customs and Excise Department Department of Health Education Bureau Home Affairs Bureau Hong Kong Police Force Hospital Authority Hong Kong Housing Authority & Housing Department Immigration Department Inland Revenue Department Insurance Authority Judiciary Labour Department Legal Aid Department Leisure and Cultural Services Department Mandatory Provident Fund Schemes Authority Office of Communications Authority Registration and Electoral Office Security Bureau Social Welfare Department Transport Department Water Supplies Department 32

Appendix: Indexes of negative development Sub-index Arts & Entertainment (2006 2016) 2006 2008 2010 2012 2014 2016 Number of buildings and archaeological sites declared as monuments (+) 81 86 98 101 108 114 No. films produced locally (+) 51 67 54 52 52 61 No. of books and magazines first published in HK (+) Attendances at museums and performing arts venues managed by the LCSD per 100,000 population (+)** 28,766 27,002 26,207 26,524 23,822 23,495 84,540 83,350 82,087 101,501 110,457 80,628 **In the period of statistical years (2014-2016), The Hong Kong Arts Museum and the Exhibition Halls of the Space Theatre of the Hong Kong Space Museum have been closed for renovation. 33

Sub-index Sports and Recreation (2006 2016) 2006 2008 2010 2012 2014 2016 No. of public sporting facilities (+) 2460 2476 2490 2562 2606 2635 Average utilization rate of public sporting facilities (+) Size of delegation participating in major games (+)** 74.25 78.02 74.72 77.76 80.58 79.88 281 34 396 86 659 75 * * The figure is affected by whether there are international sports competitions in specific year, e.g. the Asian Games. 34

Sub-index Personal Safety (2006 2016) 2006 2008 2010 2012 2014 2016 Reported food poisoning cases per 100,000 population (-) 60.43 36.61 15.03 21.38 15.69 14.78 Number of occupational fatalities per 100,000 workers (-) 5.24 4.98 5.04 5.18 5.42 5.18 Number traffic fatalities per 100,000 population (-) 2.10 2.32 1.66 1.68 1.38 1.80 35

Sub-index Science & Technology (2006 2016) 2006 2008 2010 2012 2014 2016 Number of patents granted to HK entities (residents + non-residents) (+) Number of scientific publications in refereed publications (+) 5583 4436 5878 5550 6454 6183 10081 10465 12210 13758 13758 13758 36

Sub-index Environmental Quality (2006 2016) 2006 2008 2010 2012 2014 2016 Percentage of gazetted beaches ranked as good quality/fair (+) 82.9 82.9 100.0 100.0 100.0 100.0 Per capita area of public open space (sq. meters) (+) 2.9 3.1 3.1 2.9 2.9 2.7 Per capita domestic units fresh water consumption (-) 74.8 74.4 72.0 70.6 71.0 73.2 Percentage of municipal solid waste recycled (+) 45.6 48.8 51.9 38.9 36.5 33.6 37

Population Groups Elderly 2006 2008 2010 2012 2014 2016 Percentage of persons aged 65+ in low income households (-) 35.9 35.4 31.9 33.6 31.5 31.9 Years of life expectation at age 65 (+) 20.55 20.50 21.00 21.45 21.80 22.15 Percentage of aged 65 and over with secondary educational attainment (+) Turn out rate of elderly voting in most recent DB election (+) Percentage of elderly as members of centres for the elderly (+) Percentage of elderly aged 65+ living alone (-) 25 26.9 29.6 33.9 37.5 40.2 48.2 44.6 44.6 49.66 49.66 54.35 16.94 15.86 14.99 14.92 14.44 13.07 14.9 15 15.2 14.7 15.2 15.9 Elderly suicide rate per 100,000 (-) 33.67 25.88 25.98 20.30 23.03 22.19