বাাঃলাদেদের উন্য়দের স্ভাধীে পরৎযাদলাচো
State of Bangladesh Economy and Upcoming National Elections Priorities for Electoral Debates
Dhaka: 9 December 2018
www.cpd.org.bd
State of Bangladesh Economy and Upcoming National Elections - - PowerPoint PPT Presentation
State of Bangladesh Economy and Upcoming National Elections Priorities for Electoral Debates Dhaka: 9 December 2018
www.cpd.org.bd
1.
Introduction
2.
Revenue Mobilisation: A Prerequisite for Development Financing
3.
Public Expenditure: Make the Myth Reality
4.
Private Investment in Bangladesh: Challenges for Development of the SMEs
5.
Balance of Payments Situation: Under Scrutiny and Under Stress
6.
Youth Unemployment: Whither the Demographic Dividend?
7.
Agriculture: Performance, Opportunities and Challenges
8.
Banking Sector in Bangladesh: Concentric Circles of Challenges
9.
Energy and Power Sector: Performance and Future Outlook
10.
Inclusive and Equitable Quality Education: Which Way to Go?
11.
Healthcare for All: How Far to Go?
12.
Social Protection: Is It Adequate for the “Left Behind”?
13.
Recommendations and Outlook
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Source FY09 FY10 FY11 FY12 FY13 FY14 FY15 FY16 FY17
9.2 9.5 10.2 10.9 10.7 10.4 9.6 10.0 10.2 a.1. Tax revenue 7.5 7.8 8.7 9.0 9.0 8.6 8.5 8.8 9.0 a.1.1. NBR tax 7.1 7.5 8.3 8.7 8.6 8.3 8.2 8.4 8.7 a.1.2. Non-NBR tax 0.4 0.3 0.4 0.3 0.3 0.3 0.3 0.3 0.3 a.2. Non-tax revenue 1.7 1.7 1.5 1.8 1.7 1.8 1.1 1.2 1.2
Source: Authors’ calculation based on Ministry of Finance (MoF) and Bangladesh Bureau of Statistics (BBS) data.
Revenue as share of GDP (%)
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1.9 2.0 2.4 2.7 2.9 2.8 2.7 2.6 2.7 FY09 FY10 FY11 FY12 FY13 FY14 FY15 FY16 FY17
Per cent of GDP
Income tax–GDP ratio (%)
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Non-tax revenue FY09 FY10 FY11 FY12 FY13 FY14 FY15 FY16 FY17 As share of GDP (%) 1.7 1.7 1.5 1.8 1.7 1.8 1.1 1.2 1.2 As share of total revenue (%) 18.1 17.7 14.5 17.0 16.1 17.3 11.8 12.2 11.5
Source: Authors’ calculation based on MoF and BBS data
Non-tax revenue scenario of Bangladesh
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Sectors FY09 FY10 FY11 FY12 FY13 FY14 FY15 FY16 FY17 Total expenditure 89.3 89.3 97.0 93.2 90.8 84.6 81.6 80.8 79.1 Non-development expenditure 98.3 94.7 96.6 93.7 93.4 90.0 84.0 85.0 81.5 Development expenditure 75.9 82.0 83.5 80.3 88.4 81.8 73.7 79.4 75.3
Source: Authors’ calculation from MoF data.
Implementation rate of public expenditure (%)
Expenditure as share of GDP (%) Sectors FY09 FY10 FY11 FY12 FY13 FY14 FY15 FY16 FY17 Total expenditure 12.7 12.7 14.0 14.4 14.5 14.0 13.5 13.8 13.6
Source: Authors’ calculation from MoF data.
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1.4 1.2 1.9 2.7 2.8 1.7 1.6 0.8 0.8 10.1 8.4 13.2 17.6 17.5 10.1 9.9 4.7 4.9 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 FY09 FY10 FY11 FY12 FY13 FY14 FY15 FY16 FY17 Per cent Percentage of GDP Percentage of Budget
Subsidy as share of GDP and total budget (%)
Source: Authors’ calculation from MoF and BBS data.
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76.8 85.0 85.3 82.7 91.0 86.4 85.3 86.2 90.7 75.8 83.8 86.5 81.5 90.0 84.0 75.2 81.8 76.0 FY09 FY10 FY11 FY12 FY13 FY14 FY15 FY16 FY17 IMED MoF
Source: Calculated by authors from IMED and MoF data
ADP implementation rate by source (%)
Key challenges in the area of ADP
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745 1507 3194 234 248 815 511 1259 2378 1000 2000 3000 4000 2001 2003 2005 2007 2009 2011 2013 2015 2017
Fig 1: Trends of Total, Public and Private Investment
Total Public Private 1 2 3 4 5 6 7 8
10 20 30 40 50 2002 2004 2006 2008 2010 2012 2014 2016 2018
Fig 2: Growth in GDP, Public Investment Private Investment
Public Private GDP Growth Rate
20
62 31 7 74 14 11
50 100
LSI MSI SSCI
Fig 4: Share of Industrial Term Loan
2011-12 2012-13 2013-14 2014-15
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6.5
9.9 IN PERCENT Fig 3: Trends in Private Investment FY 2009-13 FY 2014-18
5 10 15 20 25
Fig 5: Changes in manufacturing GDP
20 40 60 80 100 FY05 FY06 FY7 FY8 FY9 FY10 FY11 FY12 FY13 FY14 FY15 FY16 FY17
Fig 6: Changes in the Composition of Import of Capital Machineries (Settlement of LCs)
Textile machinery Leather / tannery Jute industry Garment industry Pharmaceutical industry Packing industry Other industry
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the country
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10 20 30 40 50
2000-04 2005-09 2010-13 2014-17
Changes in Sectoral Composition
Agriculture & Fishing Power, Gas & Petroleum Manufacturing Trade & Commerce Transport, Storage & Communication Services Other Sector
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USD 5.59 billion
was USD 3.17 billion
CPD (2018): State of Bangladesh Economy and Upcoming National Elections Fiscal Year Current account Capital account Financial account Overall balance FY2009 2416.0 451.0 (-)825.0 2058.0 FY2013 2388.0 629.0 2863.0 5128.0 FY2016 4262.0 478.0 1610.0 5592.0 FY2017 (-)1331.0 400.0 4247.0 3169.0 FY2018 (-)9780.0 292.0 9076.0 (-)885.0
Trends in elements of the overall balance (in million USD)
Source: Bangladesh Bank
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Figure: Trends in current account balance and its sub-components Source: Bangladesh Bank
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months’ equivalent to 5.5 months’ equivalent over the corresponding period
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IDA -type loans, the repayment liabilities will be higher further down the line
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avoid any likely debt trap in the medium-term future
and conditionalities, costing of projects, generation of expected returns, all these must be carried out with more care and due diligence
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5 10 15 20 25 30 35
None Primary Secondary Higher secondary Tertiary Others Total youth unemployed None Primary Secondary Higher secondary Tertiary Others Total youth unemployed None Primary Secondary Higher secondary Tertiary Others Total youth unemployed 2013 2016 2017 Per cent Male Female Total
Source: Bangladesh Labour Force Survey (various years), Bangladesh Bureau of Statistics (BBS).
Figure 1: Proportion of unemployed youth (aged 15-29 years) in total unemployment, by education level and gender
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6 9 9 7 13 10 7 9 8 7 10 7 2 4 6 8 10 12 14 Employed Unemployed Not in labour force Employed Unemployed Not in labour force 15 to 24 years old 25 to 29 years old Average number of years of schooling Male Female Figure 2: Average number of years of schooling, by age group, labour force status and gender (2016-17)
Source: BBS (2018).
7 9 8 6 10 6 7 10 9 8 13 8 2 4 6 8 10 12 14 Employed Unemployed Not in labour force Employed Unemployed Not in labour force 15 to 24 years old 25 to 29 years old Average number of years of schooling Rural Urban Figure 3: Average number of years of schooling, by age group, labour force status and region (2016-17)
Source: BBS (2018).
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Skills gap and access to computers: Is digital Bangladesh digital enough?
Data from the Bangladesh ICT Use and
Access Survey 2013 (BBS, 2015a) shows that only 4 per cent of individuals who do not have computers in their household can use computers.
This means that access to computers is still
limited to individuals whose families can afford to buy a computer. It also implies that educational institutions in the country are not adequately equipped with computers, and some students may graduate from school without developing computer skills.
Additionally, the data also shows that even
in households that own a computer, only 33 per cent of individuals can use a computer.
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96 67 4 33 10 20 30 40 50 60 70 80 90 100 Do not have computer Have computer Per cent Never used computer Used computer
Figure 4: Computer ownership and computer use
Source: BBS (2015a, 2015b). Note: Computer ownership is shown at household-level and computer use is shown at individual-level.
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Source: BBS (2015a, 2015b). Note: Wage differential is calculated as the percentage difference in the average monthly wages of individuals who have used computers and the average monthly wage of individuals who have never used computers.
Table 1: Average monthly wage by computer use (in BDT)
Area Never used computer (in BDT) Used computer (in BDT) Wage differential (in %) Barishal 11343 15731 38.68 Chattogram 11217 14358 28.00 Dhaka 10881 14788 35.91 Khulna 10709 13122 22.53 Rajshahi 10620 13425 26.41 Rangpur 10264 13551 32.02 Sylhet 10320 13401 29.85 Rural 10287 12925 25.64 Urban 11254 14434 28.26 National 10812 14162 30.98
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5 10 Crops Livestock Forestry Fisheries 20 40 60 80 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 Crops Livestock Forestry Fisheries
Total Agriculture GDP
Sub-sectors of Agriculture 48
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10 20 30 40 50
Percent gap
Demonstration Plots and Farmers’ Plots
5 10 15 20 25 30 35 40 1990-91 1992-93 1994-95 1996-97 1998-99 2000-01 2002-03 2004-05 2006-07 2008-09 2010-11 2012-13 2014-15 2016-17
mn mt Fig: Rice output
Boro
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10 20 30 40 50 Lakh tons Inland capture Inland culture Marine
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Figure 1: Capital to Risk Weighted Assets Ratio in BASIC Bank & ICB Islamic Bank
BASIC Bank Limited ICB Islami Bank Limited Per cent 2016 2017 2018
Source: Financial Institutions Division, Ministry of Finance Note: Data for 2018 are as of June
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Figure 2: Classified Loans as a Share of Total Loans Source: Financial Institutions Division, Ministry of Finance Note: Data for 2018 are as of June
20 40 60 80 100 Sonali Bank Limited Janata Bank Limited Agrani Bank Limited Rupali Bank Limited BASIC Bank Limited Bangladesh Development Bank Limited ICB Islami Bank Limited Bangladesh Commerce Bank Limited The Farmers Bank Limited Per cent 2016 2017 2018 57
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Figure 3: Expenditure-Income Ratio of State-Owned Commercial Banks Source: Financial Institutions Division, Ministry of Finance Note: Data for 2018 are as of June
0.5 1 1.5 Sonali Bank Limited Janata Bank Limited Agrani Bank Limited Rupali Bank Limited BASIC Bank Limited Bangladesh Development Bank Limited 2016 2017 2018 58
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Figure 4: Net Profit (in million BDT) Source: Financial Institutions Division, Ministry of Finance Note: Data for 2018 are as of June
228 248 90 19
6889 498
229
10000 Agrani Bank Limited Rupali Bank Limited BASIC Bank Limited ICB Islami Bank Limited The Farmers Bank Limited Million BDT 2016 2017 2018 59
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Figure 5: Liquid Assets as a Share of Total Assets Source: Financial Institutions Division, Ministry of Finance Note: Data for 2018 are as of June
0.6 0.2
0.4 0.1 2.4 1.8 0.4 0.4
0.0 5.0
Mercantile Bank Limited The Farmers Bank Limited NRB Global Bank Limited NRB Commercial Bank Limited
Per cent 2016 2017 2018
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Table 1: Media Reports on Total Money Lost through Major Scams, Irregularities, & Heists in Banking Sector, 2008-2018
Sonali, Janata, NCC, Mercantile & Dhaka Bank BDT 4.89 crore BASIC Bank BDT 4,500 crore Sonali Bank BDT 3,547 crore Janata Bank BDT 10,000 crore Janata Bank, Prime Bank, Jamuna Bank, Shahjalal Islami Bank & Premier Bank BDT 1,174 crore AB Bank BDT 165 crore NRB Commercial Bank BDT 701 crore Janata Bank BDT 1,230 crore The Farmers Bank BDT 500 crore Bangladesh Bank BDT 679 crore TOTAL BDT 22,501 crore
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Figure 6: Amount of Recapitalisation (in crore BDT) Source: Monthly Fiscal Frameworks, Budget Briefs, Finance Division.
500 1000 1500 2000 2500 3000 3500 4000 4500 FY09 FY10 FY11 FY12 FY13 FY14 FY15 FY16 FY17 Crore BDT
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High Concentration of Banks and Bank Branches in Bangladesh
Mexico has only 47 commercial banks even
though the GDP of Mexico in 2016 was about 7.4 times larger than that
Bangladesh in 2016 and the total surface area of Mexico is about 13.2 times larger than that of Bangladesh (CPD, 2018).
Globally, if microstates that have a land
area less than 1000 square kilometres are disregarded, Bangladesh has the 8th highest geographic concentration
commercial bank branches (CPD, 2018).
In 2016, Bangladesh had 75 branches of
commercial banks per 1000 square kilometres of land, which was the highest in the South Asia region (CPD, 2018).
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Figure 7: Branches of commercial banks per 1,000 square kilometres in South Asia (2016) Source: IMF Financial Access Survey Data Note: * indicates data for 2015
10 20 30 40 50 60 70 80 Bangladesh Bhutan India Nepal Pakistan Sri Lanka* Number of commercial bank branches per 1000 square kilometres 63
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0.0 5.0 10.0 15.0 10,000 20,000 30,000 40,000 50,000 60,000 70,000
Total Electricity Generation (in gigawatt hours)
0.0 2.0 4.0 6.0 8.0 10.0 200 400 600 800 1000 1200
Total Natural Gas Production in Bangladesh (in MMCF) Percentage Change in Total Natural Gas Production in Bangladesh (in per cent)
Fig: Generation of Electricity Fig: Generation of Gas
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85 90 95 100 105 110 115 2010 2011 2012 2013 2014 2015 2016 2017 Per cent Net Enrollment (%) Gross Enrollment (%)
Source: DPE, 2017. Figure 10.1: Gross and net enrolment trend from 2010 to 2017
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Figure 10.2: Share of education expenditure in Budget expenditure and GDP Source: Ministry of Finance (MoF), Bangladesh Note: AFY stands for Actual Budget in Fiscal Year; BFY stands for Budget in Fiscal Year. Source: Ministry of Finance (MoF), Bangladesh Note: AFY stands for Actual Budget in Fiscal Year; BFY stands for Budget in Fiscal Year. 13.5 15.7 14.7 12.5 12.2 14.2 14.3 16.7 19.1 16.4 1.7 2.0 2.1 1.8 1.8 2.0 1.9 2.3 2.6 2.9 5 10 15 20 25
AFY2009 AFY2010 AFY2011 AFY2012 AFY2013 AFY2014 AFY2015 AFY2016 AFY2017 BFY2018
Per cent
Share of Total Budget expenditure Share of GDP 616 745 784 730 749 851 882 1055 1061 1489 200 400 600 800 1000 1200 1400 1600 AFY09 AFY10 AFY11 AFY12 AFY13 AFY14 AFY15 AFY16 AFY17 BFY18
BDT
Figure 10.3: Per capita real expenditure on Education
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Table 11.1: Trends in major health indicators
Source: SVRS (2010; 2017).
CPD (2018): State of Bangladesh Economy and Upcoming National Elections Indicator 2005 2007 2011 2014 2017 Life expectancy at birth 65.2 66.6 69.0 70.7 72.0 Crude birth rate per 1000 20.7 20.9 19.2 18.9 18.5 Crude death rate per 1000 5.8 6.2 5.5 5.2 5.1 Infant mortality rate per 1000 live birth 50 43 35 30 24 Under five mortality rate per 1000 live birth 68 60 44 38 31 Maternal mortality ratio (MMR) per 100,000 live birth 348 351 209 193 172 84
Table 11.2: Out-of-pocket health expenditure in South Asia CPD (2018): State of Bangladesh Economy and Upcoming National Elections Indicator 2008 2009 2015 2015 Bangladesh India Pakistan Sri Lanka Nepal Bhutan Out-of-pocket expenditure (% of current health expenditure) 67.2 67.2 71.8 65.1 66.5 38.4 60.4 19.8 Out-of-pocket expenditure, per capita PPP (current international $) 36.2 39.0 63.2 143.4 88.9 226.9 91.1 56.9
Source: World Health Organization Global Health Expenditure database. (http://apps.who.int/nha/database). Accessed on 25 November 2018. Note: Out-of-pocket expenditure per capita, PPP (current international $) is defined as Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity (PPP).
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Figure 11.1 Share of health expenditure in budget and GDP Figure 11.2: Per capita real expenditure on health
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Source: Ministry of Finance (MoF), Bangladesh. Note: AFY stands for Actual Budget in Fiscal Year; BFY stands for Budget in Fiscal Year. Source: Ministry of Finance (MoF), Bangladesh. Note: AFY stands for Actual Budget in Fiscal Year; BFY stands for Budget in Fiscal Year.
5.7 6.2 5.7 4.9 4.9 4.9 4.9 5.3 5.7 5.2 0.7 0.8 0.8 0.7 0.7 0.7 0.7 0.7 0.8 0.9 1 2 3 4 5 6 7 FY09 (A) FY10 (A) FY11 (A) FY12 (A) FY13 (A) FY14 (A) FY15 (A) FY16 (A) FY17 (A) FY18 (B) Per cent Share of total budget Share of GDP 265 300 311 297 306 308 318 343 162 470 50 100 150 200 250 300 350 400 450 500 FY09 (A) FY10 (A) FY11 (A) FY12 (A) FY13 (A) FY14 (A) FY15 (A) FY16 (A) FY17 (A) FY18 (B) Taka
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0.5 1 1.5 2 2.5 3 FY09 FY10 FY11 FY12 FY13 FY14 FY15 FY16 FY17 FY18 FY19 Per cent Social protection budget excluding pension as % of GDP Social protection budget as % of GDP
Figure 1: Social security budget as a percentage of GDP
Source: Authors’ calculation based on Social Security Policy Support (SSPS) Programme data and budget documents.
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1 14 25
2 7 74
126 3 14 28
5 7 41
50 100 150 Pension for Retired Government Employees and their Families Honorarium for Freedom Fighters Old Age Allowance Employment Generation Programme for the Poor (man month) Vulnerable Group Feeding (VGF) Work For Money (WFM) (man month) Vulnerable Group Development (VGD) (man month) Test Relief (TR) Cash (man month) Maternal, Neonatal, Child and Adolescent Health Secondary Education Sector Investment Program Percentage change Change in allocation Change in coverage
Figure 12.3: Change in coverage and allocation of largest social protection programmes between FY2018 and FY2019
Source: Authors’ illustration based on data from budget documents, Ministry of Finance.
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Addressing income inequality—A tall burden for social protection
Data from the period 1991–92 to 2015–16
shows that the income share held by the richest 5 per cent of the households in Bangladesh increased from 18.85 per cent in 1991–92 to 27.89 per cent in 2015–16, whilst the income share held by the poorest 5 per cent of the households in the country fell from 1.03 per cent in 1991–92 to 0.23 per cent in 2015–16.
In
2010, the richest 5 per cent of the households were 32 times richer than the poorest 5 per cent; however, this difference magnified astronomically in 2015 when the richest 5 per cent was 121 times richer than the poorest 5 per cent.
Given the persistent increase in inequality,
and the widening gap between the top and bottom 5 per cent in the income spectrum, it is difficult to ascertain what role social protection programmes in Bangladesh have played as redistributive mechanisms.
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Table: Income share held by poorest and richest
Income Share 1991– 92 1995– 96 2000 2005 2010 2015– 16 Poorest 5 per cent 1.03 0.88 0.93 0.77 0.78 0.23 Richest 5 per cent 18.85 23.62 28.34 26.93 24.61 27.89
Source: Data from Household Income and Expenditure Surveys, BBS.
Figure: Income share held by the richest 5 per cent as a multiple of the income share held by the poorest 5 per cent 18 27 30 35 32 121 20 40 60 80 100 120 140 1991-92 1995-96 2000 2005 2010 2015-16
Source: Author’s illustration based on data from Household Income and Expenditure Surveys, (BBS).
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