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以投入-產出模式分析觀光支出對苗栗縣經濟發展之影響

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-An Application of Input-Output -Analysis to the Economic

Impact from Tourist expenditure of Miaoli County

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-95

100

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-Abstract

Abstract

Abstract

Abstract

To promote tourism as a mean to advance economic development is always on the priority list in the governmental policy agenda. Then the goal of this study is to use Miaoli County as the case study area and to apply input-output methodology to measure the economic impacts from tourists’ expenditure.

Noting that there is no existing sub-regional input-output table ready available. Therefore, first it needs to obtain the Miaoli County input-output table by applying LQ(Location Quotient) adjusting method to transform the existing national input-output table. Then, based upon the data from the newest tourists’ expenditure survey, the overall economic impact from tourists’ expenditure can be measured. In order to make a detailed analysis of sectoral interaction pattern, tourists’ expenditure is also subdivided into four sectors and the results can be applied to future tourism planning.

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1 ... 6 2 ... 8

1 ... 11 2 ... 12 3 100 ... 13 5 ... 15 6 ... 16 7 ... 17 8 ... 18 9 ... 19 10 ... 20

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2005 4 5 ( 2012) -1. 2. 3.

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182031.49 18 1 ( ) - (Input-Output analysis) (Wassily Leontief) 1936 -(Input-Output analysis) (Industry Linkage analysis)

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( 2009) 95 99 100 -( ) (Location Quotient,LQ) ( 2009) >1 <1 ( ) ( ) ( )

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( 2007) (World Tourism Organization) 98 ( ) 1. ( 2011) ( 2010) 1944 1939 ( 96 ) 1973

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1968 49 43 23 50 ( ) 44 9 ( ) 53 50 37 6 3 23 53 55 58 60 63 65 68 53 55 76 65 99 ( 2004) 42 93 65 99 161 65 394 70 422 93 610 49 ( 2004) 2. (2009) 80 83 85 88 90 93 94 (2005)

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(2004) 1999 11 7 1 (2004) ( ) 13% 3% (2003) 85 ( 160 (2000) SARA 921 911 921 911 SARS 1 -( )

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-99 100 Location Quotient Location Quotient Location Quotient Location Quotient,,,,LQLQLQLQ 95 94 LQ >1 LQ <1 LQ 20 LQ >1 32 LQ <1 LQ 2 3.331 1.193 - 1.289 6.618 2.244 0.909 0.239 0.000 0.859 0.686 0.543 1.320 - - -

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0.344 0.137 3.081 - 0.940 0.163 0.849 0.157 0.537 0.535 0.830 0.358 4.319 1.352 1.284 - - 0.798 0.899 1.152 1.532 1.517 0.348 1.267 X= I-A -1 100 100 2 440 / 579 / 671 / 221 / 3 100 //// %%%% 579 30.5 381 20.0 290 15.3 211 11.1 440 23.1 1,901 100.0 -

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4 / 0.7 1.0 0.3 1.1 0.1 1.2 0.0 0.0 10.6 0.0 1.2 0.7 0.0 9.4 0.0 0.5 0.7 0.6 0.1 0.7 0.0 4.3 0.9 11.5 6.7 6.3 1.1 9.8 4.5 0.2 8.9 6.1 1.6 0.5 0.4 2.0 0.1 11.3 5.0 7.8 0.9 9.0 2.8 2.3 2.1 0.2 0.9 2.8 1.3 0.3 0.2 2.8 143.6 143.6 143.6 143.6

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5 / 0.7 3.0 0.3 6.4 0.3 5.9 0.0 0.5 60.2 0.0 1.2 12.5 0.0 10.0 0.0 0.4 1.1 0.5 0.1 1.2 0.1 8.0 1.0 39.2 2.8 59.5 0.8 8.8 49.4 0.2 11.0 4.6 3.9 0.2 0.1 2.4 1.7 3.4 1.9 4.3 1.7 39.7 11.1 3.7 7.2 0.3

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6 / 46.6 1.7 21.2 3.7 0.3 0.7 1.8 0.0 32.3 0.0 81.7 2.3 1.5 20.0 0.0 15.7 8.1 2.5 2.3 2.2 0.1 5.8 2.3 66.7 21.6 6.5 0.6 3.3 10.8 0.2 41.2 7.3 11.1 0.6 1.0 2.9 0.3 11.7 15.7 7.6 3.8 9.9 7.9 3.4 6.5 0.3 6.2 1.4 1.6 0.3 0.2 5.2 508.6 508.6 508.6 508.6

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7 / 0.3 1.0 0.1 1.2 0.1 0.2 0.0 0.0 5.5 0.0 0.6 2.9 0.0 6.8 0.0 0.4 0.4 0.4 0.1 0.3 0.0 2.2 0.3 6.8 2.0 1.1 0.6 2.7 1.4 1.3 4.2 2.9 1.4 0.2 0.1 1.1 0.1 6.6 1.4 2.3 0.5 4.4 2.2 2.1 1.8 0.1 0.9 0.1

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8 / 48.3 6.8 22.0 12.4 0.8 8.0 1.9 0.6 108.5 0.1 84.6 18.3 1.6 46.2 0.0 17.0 10.3 4.0 2.5 4.4 0.2 20.3 4.5 124.3 33.0 73.4 3.1 24.5 66.1 2.0 65.2 20.9 18.0 1.5 1.6 8.5 2.2 33.0 24.0 22.0 6.9 62.9 24.0 11.4 17.6 0.8 11.3 5.0 6.4 3.7 1.7 20.0 1118.2 1118.2 1118.2 1118.2

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95 100 1118.2 / 3019.2 / 100 9,024,355 272 9 1 2 3 4 5 / 143.6143.6 143.6143.6 388.0388.0 388.0388.0 508.6508.6 508.6508.6 78.078.0 78.078.0 1118.21118.2 1118.21118.2

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( )

( )

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2012 2011 2012 95 2012 94 2012 95 2010 99 (2010) (2011) 2009 (2009) -2008 (2007) (2007) 2005 2008 2002-2007 (2005) (2004) (2004) (2003) (2000)

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