Greater Sydney

Shift-share analysis

In Greater Sydney, the strongest regional competitive effect between 2018/19 and 2022/23 was experienced in Agriculture, Forestry and Fishing.

Shift Share Analysis provides a useful mechanism for better interpreting changes in economic variables between different time periods. It is a way of breaking the growth or decline in an industry into three components to help understand what is driving the change. These three change components are commonly known as:

National/State growth effect - the amount of growth or decline in an industry that could be attributed to the overall growth of a larger area that encompasses the region's economy, usually state or national.

Industry mix effect - the amount of growth or decline in an industry that could be attributed to the performance of the specific industry at the national/state level.

Regional competitive effect - the amount of growth or decline in a specific industry that could be attributed to a local advantage or disadvantage. This is generally the most interesting component as it clearly quantifies the level of advantage or disadvantage an industry has in the local area.

The regional competitive effect for an industry generally indicates how the local industry performed against benchmark trends. An industry with a positive regional competitive effect suggests local characteristics supported above trend growth in that period. For example, if Retail Trade in a region grew by 3% but at a state/national level it only grew by 2%, some regional specific factors (e.g. new shopping centre, population growth) must have contributed to this above trend growth. A negative effect suggests the opposite.

An industry with a positive regional competitive effect may still have experienced decline, but by less than the state/national trends.

Data source

National Economics (NIEIR) - Modelled series

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Shift-share analysis to New South Wales
Greater Sydney - Employment (Total)2022/232018/192018/19 to 2022/23
IndustryNumbernumberchangeBenchmark growth effectIndustry mix effectRegional competitive effect
Agriculture, Forestry and Fishing11,29410,568+726+675.5-1,188.5+1,238.9
Mining7,6707,329+341+468.5+41.2-169.0
Manufacturing160,599178,041-17,442+11,379.4-23,860.2-4,961.6
Electricity, Gas, Water and Waste Services26,27423,047+3,227+1,473.1+3,562.8-1,808.7
Construction217,612234,314-16,702+14,976.1+4,125.2-35,803.2
Wholesale Trade99,988102,773-2,785+6,568.7-8,007.1-1,347.1
Retail Trade251,770243,740+8,030+15,578.6-7,393.8-155.1
Accommodation and Food Services153,036163,797-10,761+10,469.1-10,632.7-10,597.5
Transport, Postal and Warehousing164,472159,197+5,275+10,175.0-5,562.0+661.8
Information Media and Telecommunications80,22081,740-1,521+5,224.4-7,309.6+564.4
Financial and Insurance Services202,797173,992+28,805+11,120.7+17,458.4+225.8
Rental, Hiring and Real Estate Services53,37051,612+1,758+3,298.8-1,223.8-316.9
Professional, Scientific and Technical Services360,445327,536+32,909+20,934.3+10,952.4+1,022.5
Administrative and Support Services86,32386,143+180+5,505.8-2,578.4-2,747.8
Public Administration and Safety166,228148,738+17,490+9,506.6+7,138.3+844.7
Education and Training221,085215,506+5,578+13,774.0-1,145.2-7,050.7
Health Care and Social Assistance365,929314,967+50,962+20,131.0+41,637.1-10,805.7
Arts and Recreation Services46,27049,369-3,099+3,155.4-5,333.5-921.0
Other Services87,63592,165-4,530+5,890.7-6,240.8-4,180.0
Total Industries2,763,0242,664,585+98,439+170,305.8---71,866.4

Source: National Institute of Economic and Industry Research (NIEIR) ©2024. ©2023. Compiled and presented in economy.id by .id (informed decisions). Data are based on a 2020/21 price base for all years. NIEIR-ID data are inflation adjusted each year to allow direct comparison, and annual data releases adjust previous years’ figures to a new base year.Learn more

Please refer to specific data notes for more information
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Dominant groups

An industry with a positive regional competitive effect suggests local characteristics supported above trend growth in that period. A negative effect suggests local characteristics inhibited growth in that period.

An analysis of Employment (Total) change between 2018/19 and 2022/23 in Greater Sydney shows the three industries with the highest regional competitive effect in Greater Sydney relative to New South Wales were:

  • Agriculture, Forestry and Fishing (+1,239 )
  • Professional, Scientific and Technical Services (+1,022 )
  • Public Administration and Safety (+845 )

The three industries with the lowest regional competitive effect were:

  • Accommodation and Food Services (-10,597 )
  • Health Care and Social Assistance (-10,806 )
  • Construction (-35,803 )

Greater Sydney

economic profile