Sunday, September 13, 2009

Why National supports Supplementary Member and the Greens oppose it

Heres how the New Zealand House of Representatives would have looked under the Supplementary Member electoral system, with the current seat numbers in brackets for comparison.

New Zealand National Party - 65 seats (58)
New Zealand Labour Party - 40 seats (43)
Māori Party -6 seats (5)
Green Party - 4 seats (9)
Act New Zealand - 3 seats (5)
Jim Anderton's Progressive - 1 seat (1)
United Future New Zealand - 1 seat (1)

National would have governed alone, may as well have had FPP, with no bridle on executive power.

If the five percent threshold was to be removed:
Under SM, only National and Labour would be affected, both losing a seat to New Zealand First. Under MMP, National would have 3 fewer seats, Labour 2 , the Greens 1 , with Act getting an extra seat. Three additional parties will enter parliament: New Zealand First with 5 seats, with Bill and Ben and the Kiwi Parties gaining one seat each.

Had the 2008 election been under SM, Act would have still have got more seats than NZ First- even without a threshold - and with 10,000 fewer votes.

So, does anyone else think that, in the context of discussing electoral systems, a reduction of the MMP threshold would be preferable to the adoption of the SM system, with or without a threshold.

Labels: , , ,



Blogger homepaddock said...

A comparison with more than one election would give a better picture of the differences between SM & MMP.

I don't think the 5% threshold should be removed and I'd like a much higher one for registering as a political party.

500 is far too low, if you can't find a coupel of thousand people who agree with your philosophy and are prepared to pay a sub you're a lobby gorup not a party.

September 13, 2009 at 7:46 AM  
Blogger Swimming said...

Would you support a substantial reduction in the 5% MMP threshold, rather than its removal?

September 13, 2009 at 11:13 AM  

Post a Comment

Subscribe to Post Comments [Atom]

<< Home

Powered by Blogger

Clicky Web Analytics