목차
1.서론
2.분석의 틀과 산업의 선정
3.산업별 발전현황과 실증분석
4.결론
2.분석의 틀과 산업의 선정
3.산업별 발전현황과 실증분석
4.결론
본문내용
32
0.59
1984
427974
390969
2438483
159430
285601
2612
0.09
0.36
0.55
〈부표 5〉 (계속)
정밀화학
총산출
총산출
노동투입
자본투입
중간재투입
중간재투입
노동
자본
중간재
연도
(명목)
(실질)
(명목)
(명목)
(실질)
분배율
분배율
분배율
1985
475526
449460
2726230
196641
299228
2828
0.09
0.26
0.64
1986
607508
625182
2961309
229935
379669
3907
0.08
0.29
0.62
1987
804094
824036
3250527
310316
508126
5206
0.08
0.28
0.64
1988
859886
890352
3301832
356574
536803
5559
0.09
0.29
0.62
1989
1547310
1607605
4661862
674528
991023
10299
0.09
0.27
0.64
1990
1675592
1675592
4515376
782230
1027562
10276
0.09
0.30
0.61
1991
1530914
1514758
2963657
751506
899380
8895
0.08
0.33
0.59
1992
1694138
1769257
2866025
1086492
982107
10269
0.09
0.33
0.58
1993
1823700
1962541
3295943
1114103
1035611
11139
0.11
0.33
0.57
1994
1881840
1951734
3043165
1076910
1112560
11515
0.10
0.31
0.59
1995
2008263
1757506
2875454
1433497
1172703
10262
0.10
0.32
0.58
1996
2645281
2502422
2967097
1874981
1281385
12098
0.09
0.42
0.48
Abstract
An Analysis of the Total Factor Productivity(TFP) in Korean Industries:
Automobile, Semi-conductor, and Fine and Specialty Chemicals
In-Woo Jun and Se-Young Bae
Krugman(1994) argues that productivity improvement was of little importance in explaining the East Asian growth miracle and, more importantly, that East Asia's high rate of growth over past decades is unlikely to be sustained in the future. Thus, the purpose of this paper is to estimate and examine the total factor productivity(TFP) in Korean high-technology industries such as automobile, semi-conductor, and fine and specialty chemicals by performing empirical studies with a new set of disaggregated (5-digit industries) data from 1973 to 1996. This industry analysis allows us to not only perform the Krugman's hypothesis at industry level, but also examine the international competitiveness of the Korea's main industries. In the empirical study, the paper uses the translog model to estimate the TFP, which was proposed by Stigler, and developed by Kendrick(1961), Denison(1962), Jorgenson and Griliches(1967), and Jorgenson, Gollop, and Fraumeni(1987). In results, our empirical studies show that the annual TFP growth rates and the average annual contribution of TFP to output growth in those industries are 2.6%, 6.99%, 2%, and 11.18%, 19.6%, 21.54%, respectively. Comparing these figures to other industrialized ones, the figures are not high enough to reject the Krugman's hypothesis even though some of the figures are rising through the years. In automobile industry, it seems that one cannot accept the Krugman's hypothesis since the rates of growth as well as contribution to the output growth of the inputs, labor, capital, and intermediate goods have mostly fallen. However, the other two industries show that the contribution of capital to output growth has increased as Krugman(1994) and Young(1992, 1994, and 1995) suggested. It seems that the future of Korean industries depends on factors increasing the total factor productivity.
0.59
1984
427974
390969
2438483
159430
285601
2612
0.09
0.36
0.55
〈부표 5〉 (계속)
정밀화학
총산출
총산출
노동투입
자본투입
중간재투입
중간재투입
노동
자본
중간재
연도
(명목)
(실질)
(명목)
(명목)
(실질)
분배율
분배율
분배율
1985
475526
449460
2726230
196641
299228
2828
0.09
0.26
0.64
1986
607508
625182
2961309
229935
379669
3907
0.08
0.29
0.62
1987
804094
824036
3250527
310316
508126
5206
0.08
0.28
0.64
1988
859886
890352
3301832
356574
536803
5559
0.09
0.29
0.62
1989
1547310
1607605
4661862
674528
991023
10299
0.09
0.27
0.64
1990
1675592
1675592
4515376
782230
1027562
10276
0.09
0.30
0.61
1991
1530914
1514758
2963657
751506
899380
8895
0.08
0.33
0.59
1992
1694138
1769257
2866025
1086492
982107
10269
0.09
0.33
0.58
1993
1823700
1962541
3295943
1114103
1035611
11139
0.11
0.33
0.57
1994
1881840
1951734
3043165
1076910
1112560
11515
0.10
0.31
0.59
1995
2008263
1757506
2875454
1433497
1172703
10262
0.10
0.32
0.58
1996
2645281
2502422
2967097
1874981
1281385
12098
0.09
0.42
0.48
Abstract
An Analysis of the Total Factor Productivity(TFP) in Korean Industries:
Automobile, Semi-conductor, and Fine and Specialty Chemicals
In-Woo Jun and Se-Young Bae
Krugman(1994) argues that productivity improvement was of little importance in explaining the East Asian growth miracle and, more importantly, that East Asia's high rate of growth over past decades is unlikely to be sustained in the future. Thus, the purpose of this paper is to estimate and examine the total factor productivity(TFP) in Korean high-technology industries such as automobile, semi-conductor, and fine and specialty chemicals by performing empirical studies with a new set of disaggregated (5-digit industries) data from 1973 to 1996. This industry analysis allows us to not only perform the Krugman's hypothesis at industry level, but also examine the international competitiveness of the Korea's main industries. In the empirical study, the paper uses the translog model to estimate the TFP, which was proposed by Stigler, and developed by Kendrick(1961), Denison(1962), Jorgenson and Griliches(1967), and Jorgenson, Gollop, and Fraumeni(1987). In results, our empirical studies show that the annual TFP growth rates and the average annual contribution of TFP to output growth in those industries are 2.6%, 6.99%, 2%, and 11.18%, 19.6%, 21.54%, respectively. Comparing these figures to other industrialized ones, the figures are not high enough to reject the Krugman's hypothesis even though some of the figures are rising through the years. In automobile industry, it seems that one cannot accept the Krugman's hypothesis since the rates of growth as well as contribution to the output growth of the inputs, labor, capital, and intermediate goods have mostly fallen. However, the other two industries show that the contribution of capital to output growth has increased as Krugman(1994) and Young(1992, 1994, and 1995) suggested. It seems that the future of Korean industries depends on factors increasing the total factor productivity.
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