9008007006005004003002001000GVA output per industry - Msakaligwa LM1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011Agriculture, forestry and fishingMining and quarryingManufacturingElectricity, gas and waterConstructionWholesale and retail trade, catering and accommodationTransport, storage and communicationFinance, insurance, real estate and business servicesTI: Community, social and personal servicesGeneral governmentFigure 14: <strong>Economic</strong> sub sectors (R’million)3.3.3.2 Diversification and concentration in the economyThe level of diversification or concentration of a municipal area’s economy is measured by a tressindex. A tress index of zero represents a totally diversified economy. On the other hand, the higherthe index (closer to 100), the more concentrated or vulnerable the municipal area’s economy toexogenous variables, such as adverse climatic conditions, commodity price fluctuations, etc.50Tress Index - Msukaligwa LM40302010019951996199719981999200020012002200320042005200620072008200920102011Figure 15: Tress index (10 industries)The comparative tress index displayed in Figure 15 shows that Msukaligwa LMs economy isdiversifying. Not only is the municipality’s economy less vulnerable/diversified than it was in 1995, butit is also showing higher diversification than the Mpumalanga province and South Africa.3.3.3.3 Location coefficientSouth Africa Mpumalanga Msukaligwa Local MunicipalityBasic/Non-Basic ratios are calculated in order to determine the drivers of an economy. The ratio isexpressed as the employment in a sector in the local economy divided by the total employment in the5 July 2013 Page 22
local economy. This is in turn divided by the same ratio for the district, provincial or national economy.A ratio greater than one, implies that there is relatively more employment in this sector than in thecorresponding economy it is compared to. It therefore generates more than what can locally beconsumed and the sector is thus a net exporting sector. This implies that it generates income for thelocal economy. The opposite is then true for ratios smaller than one.Table 10: Location coefficient: South AfricaMsukaligwa LocalMunicipalityAgriculture, forestry andfishingMining and quarryingManufacturingElectricity, gas and waterConstructionWholesale and retailtrade, catering andaccommodationTransport, storage andcommunicationFinance, insurance, realestate and businessservicesCommunity, social andpersonal services2.19 1.50 0.69 3.19 0.57 1.22 1.95 0.45 1.09 0.74General governmentWhen compared at a national level Utility services shows the best performance, followed by transport,agriculture, and mining. It is interesting to note the strong mining position the LM still has on nationallevel despite the decrease in mining production in the LM over the past years.Table 11: Location coefficient: MpumalangaMsukaligwa LocalMunicipalityAgriculture, forestry andfishingMining and quarryingManufacturingElectricity, gas and waterConstructionWholesale and retailtrade, catering andaccommodationTransport, storage andcommunicationFinance, insurance, realestate and businessservicesCommunity, social andpersonal services1.57 0.48 0.57 1.44 0.80 1.50 2.06 0.80 1.16 1.09General governmentIn the provincial context transport services and agriculture are highlighted as the most importanteconomic activities, followed by trade and utilities. This shows the importance of the municipality inthe province and the role it plays as a service centre starts to emerge.Table 12: Location coefficient: DistrictMsukaligwa LocalMunicipalityAgriculture, forestry andfishingMining and quarryingManufacturingElectricity, gas and waterConstructionWholesale and retailtrade, catering andaccommodationTransport, storage andcommunicationFinance, insurance, realestate and businessservicesCommunity, social andpersonal services1.05 0.43 0.53 1.45 0.85 1.09 2.46 0.99 1.79 1.59General government5 July 2013 Page 23