WHAT THE DATA IS TELLING US
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1 WHAT THE DATA IS TELLING US The Connect Effect 2014 Series 13 March 2014 Assoc Prof John Spoehr Dr Ann-Louise Hordacre Funded by the Australian Government Suburban Jobs Program
2 Economic growth rates 7% 6% 5% 4% 3% South Australia (State final demand) Total Australia (Domestic demand) Linear (South Australia (State final demand)) Linear (Total Australia (Domestic demand)) 2% 1% 0% -1% Sep 2003 Sep 2004 Sep 2005 Sep 2006 Sep 2007 Sep 2008 Sep 2009 Sep 2010 Sep 2011 Sep 2012 Sep 2013 Source: BIS Shrapnel (2013)
3 Job vacancies in SA ( 000) Public Private Source: ABS (2014) Job Vacancies
4 Employment in SA 000 ( 2003 to 2013) 120 Health Care and Social Assistance Retail Trade Manufacturing Construction Education and Training Public Administration and Safety Accommodation and Food Services Professional, Scientific and Technical Services Agriculture, Forestry and Fishing Transport, Postal and Warehousing Source: ABS (2014) Labour force
5 Employment in SA 000 ( 2013) Manufacturing Construction Health Care and Social Assistance Public Administration and Safety Education and Training Retail Trade Professional, Scientific and Technical Transport, Postal and Warehousing Agriculture, Forestry and Fishing Other Services Wholesale Trade Accommodation and Food Services Administrative and Support Services Financial and Insurance Services Mining Electricity, Gas, Water and Waste Information Media and Rental, Hiring and Real Estate Services Arts and Recreation Services Full time Part time Manufacturing 78,800 persons 83% full time Health care and soc assist 109,500 persons 48.9% full time Source: ABS (2014) Labour force
6 Employment in SA 000 ( 2003 to 2013) Health Care and Social Assistance Construction Public Administration and Safety Retail Trade Education and Training Professional, Scientific and Technical Services Transport, Postal and Warehousing Mining Financial and Insurance Services Electricity, Gas, Water and Waste Services Other Services Accommodation and Food Services Arts and Recreation Services Administrative and Support Services Wholesale Trade Information Media and Telecommunications Rental, Hiring and Real Estate Services Agriculture, Forestry and Fishing Manufacturing Source: ABS (2014) Labour force
7 Manufacturing in Playford (2006 to 2011) Manufacturing, nfd Food Product Primary Metal and Metal Product Beverage and Tobacco Product Non-Metallic Mineral Product Wood Product Fabricated Metal Product Pulp, Paper and Converted Paper Product Textile, Leather, Clothing and Footwear Petroleum and Coal Product Basic Chemical and Chemical Product Printing (including the Reproduction of Recorded Media) Furniture and Other Machinery and Equipment Polymer Product and Rubber Product Transport Equipment Source: 2006 & 2011 Census
8 Number 000 Opportunities in SA - industry Manufacturing (Total) Manufacturing (FT) Manufacturing (PT) Health care & social assistance (Total) Health care & social assistance (FT) Health care & social assistance (PT) Source: ABS (2014) Labour force
9 Opportunities in SA work hours Manufacturing (FT) Health care & social assistance (FT) Manufacturing (PT) Health care & social assistance (PT) 100% 100% 80% 80% 60% 60% 40% 40% 20% 20% 0% % Source: ABS (2014) Labour force
10 Opportunities in SA - gender 100% 90% 80% 70% 60% 50% 40% 30% Female Male 20% 10% 0% Manufacturing Health Care and Social Assistance Total Source: 2011 Census
11 Unemployment City of Playford Map key SLA name No. unemployed Unemployment rate 1 Playford (C) - East Central % 2 Playford (C) - Elizabeth % 3 Playford (C) - Hills % 4 Playford (C) - West % 5 Playford (C) - West Central % Source: SALM Sept 2013
12 Unemployment Average 5 percentage point increase in unemployment rate in 5 years 25% 20% 15% 10% 5% 0% Jan-08 Sep-08 Sep-13 Playford (C) - East Central 8.6% 13.2% Playford (C) - Elizabeth 16.8% 21.5% Playford (C) - Hills 5.6% 9.9% Playford (C) - West 5.2% 11.1% Playford (C) - West Central 11.5% 16.3% Jan-13 Source: SALM Sept 2013
13 SEIFA Index of Relative Socio- Economic Disadvantage Playford SEIFA=871 Most disadvantaged LGA in Adelaide One of the most disadvantaged urban areas in Australia Source: 2011 Census
14 SEIFA Source: 2011 Census
15 Impact of the GMH closure
16 Impact of the GMH closure - SA Total impact of closure upon SA at 16 quarters after closure Industry employment in SA, -23,903 GRP (headline) at market prices, -$912.5m 1.0% 0.0% -1.0% -2.0% -3.0% -4.0% -5.0% GRP (headline) at market prices (% of 2012 level) NSW VIC QLD SA WA TAS NT ACT Total 1st 4th 8th 12th 16th
17 Impact of the GMH closure - SA % employment decline for residents in LGA 0% -1% -2% -3% -4% -5% -6% -7% -8% Playford (C) Mallala (DC) Gawler (T) Salisbury (C) Light (RegC) -3.8% -5.0% -4.8% -4.7% -7.3% 1st 4th 8th 12th 16th Source: WISeR & NIEIR (unpublished)
18 Impact of the GMH closure - SA % employment decline in LGA (place of work) 0% Playford (C) Marion (C) Salisbury (C) Onkaparinga (C) Charles Sturt (C) -4% -8% -5.4% -4.8% -4.5% -3.9% -12% -16% -20% -15.8% 1st 4th 8th 12th 16th Source: WISeR & NIEIR (unpublished)
19 Impact of the GMH closure - SA % decline in Gross regional product 0% Playford (C) Marion (C) Onkaparinga (C) Salisbury (C) Charles Sturt (C) -5% -10% -15% -7.7% -7.3% -6.9% -5.9% -20% -25% -23.3% 1st 4th 8th 12th 16th Source: WISeR & NIEIR (unpublished)
20 The WISeR approach Key topics 1. Employer sentiment 2. Factors affecting organisational performance 3. Recruitment issues 4. Employing locally 5. Skills deficiencies & gaps 6. Workforce training & development 7. Barriers to training
21 The WISeR approach - WFS Business sentiments (for next 12 months) Strong increase Moderate increase No change Moderate decrease Strong decrease Intentions to recruit 8% 45% 24% 4% 3% Expectations for business profits 7% 43% 37% 4% 3% Expectations for sales 3% 30% 61% 3% 1% Expectations for growth 12% 40% 37% 6% 3% 0% 20% 40% 60% 80% 100% Source: WISeR Workforce Futures Survey (unpublished)
22 The WISeR approach - WFS Occupational skills demand (required in the next 12 months) Technicians & Tradespersons Sales Workers Clerical & Admin Labourers Other Professionals Machinary Operators & Drivers Community & Personal Svc Managers 1% 4% 5% 9% 10% 15% 15% 17% 23% 0% 5% 10% 15% 20% 25% Source: WISeR Workforce Futures Survey (unpublished)
23 The WISeR approach
24 The WISeR approach
25 The WISeR approach
26 The WISeR approach SMART workplaces the High Performance Workplace Approach Implement high performance work systems Operational Increased productivity OHSW and HR and innovation Improved employee satisfaction, wellbeing & organisational culture Financial Business growth, rise in sales and profits
27 Assoc Prof John Spoehr Dr Ann-Louise Hordacre Funded by the Australian Government Suburban Jobs Program
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