• Title/Summary/Keyword: 총요소생산성증가율

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Empirical Analysis on the Estimation of Total Factor Productivity and its Determinants in the Korean Manufacturing and Service Industries (한국의 총요소생산성 추정과 생산성 결정요인에 관한 실증연구)

  • Zhu, Yan Hua
    • International Area Studies Review
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    • v.22 no.4
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    • pp.19-35
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    • 2018
  • This paper is to estimate the total factor productivity(TFP) in the Korean manufacturing and service industries during the period 1975:1-2016:4 using the stochastic frontier analysis model. In order to analyze the determinants for the total factor productivity the paper estimates the industry-specific determinant elasticities of TFP using the autoregressive distributed model. The industry-specific determinants, which reflect the industrial structure and properties include markup, the ratio of capital to labor(KL), and the ratio of foreign intermediate goods (FIG) to industrial output. The average value for total factor productivity growth was estimated to be 0.0199 in manufacturing and 0.0063 in the service industry. The markup and KL elasticities of TFP were estimated to be 2.481 and 0.651 in manufacturing respectively and -1.403 and 0.042 in the service industry respectively. The empirical results suggest that the industrial markup and the ratio of capital to labor have had decisive effects on the changes in the total factor productivity in the Korean manufacturing and service industries during the period 1975:1-2016:4.

Comparison of Traditional Productivity and the Environmentally-Adjusted Productivity in the Chinese Regions (중국의 지역별 전통적 생산성과 환경조정생산성의 비교)

  • Park, Hae-Ran;Kang, Sang-Mok
    • Journal of Environmental Policy
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    • v.8 no.3
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    • pp.115-138
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    • 2009
  • The purpose of this paper is to clarify the main components of economic growth and the effects of environmental factorson productivity by comparing traditional productivity growth and environmentally-adjusted productivity growth in 28 Chinese regions based on growth accounting analysis. To do this, we measured the shadow prices of SOx for the 28 Chinese regions. This study found that the annualized growth rate of output in the 28 Chinese regions was almost 10.07% for 1999-2005, though the growth rate was higher in the eastern region than in the middle and western regions. The average traditional productivity was 3.58%, again with the eastern region showing the highest level. The average environmentally-adjusted productivity of the three regions was about 3.56%, which is similar to the level of traditional productivity. This implies that activities regarding pollution reductions in the 28 Chinese regions have not been practiced, even though environmental regulations have been strengthened. Therefore, the regional and central governments should strengthen environmental regulations and strictly enforce them.

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Productivity and Growth Performance Differentials by Firm Size in Korean Manufacturing (우리나라 제조업 부문의 사업체 규모별 성장성 및 생산성 분포의 변화 추이 분석)

  • Kim, Young-Joon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.5897-5905
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    • 2015
  • This paper investigates the differentials in productivity and growth performance between small and medium size and large size firms in Korean manufacturing industries. According to the empirical analysis based on the Mining and Manufacturing Survey of Statistics Korea, this paper finds the following facts. First, the level of contribution of capital deepening on the growth rate of output(value added) is relatively greater in the small and medium size firm group, while the level of contribution of total factor productivity on the growth rate is relatively greater in the large size firm group. Second, the productivity polarization among the firms has increased relatively greater in the large size firm group over the past decade.

부산신항 ITT 도입 평가요소에 관한 연구

  • Kim, Hwan-Seong;Jo, Min-Ji;Kim, Byeong-Su;Kim, Jong-Won;Lee, Seung-Pil
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.05a
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    • pp.131-132
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    • 2019
  • 부산항 신항은 2018년도 기준으로 컨테이너 14,559천TEU를 처리하였으며, 환적은 58.89%을 점유하고 연평균 6.41% 증가되고 있다. KMI 2017년도 물동량예측량의 연평균 증가율을 적용하면 부산항 신항의 환적화물량은 2030년에는 12,326천TEU에 이를 것으로 전망된다. 아울러, 환적화물 중에서 타부두 환적물량은 2018년도 기준 26.3%이며 총 신항 물동량대비 15.51%에 이르고 있다. 이러한 증가추세를 고려하면 2030년 타부두 환적물량은 3,080천만 TEU에서 3,600천TEU에 이를 것으로 전망된다. 한편, 타부두 환적물량 증가에 따른 부두간 컨테이너 이송량이 증가되고 있으며, 이러한 화물 증가량은 배후 임항도로의 정체를 초래를 야기시키어 항만 경쟁력을 약화시키는 원인으로 작용된다. 본 연구에서는 부산항 신항에서 타부두 환적을 위한 전용시스템의 도입 평가요소 우선순위에 대하여 터미널 운영사, 선사, 항만공사 및 관련 전문가에 대하여 설문을 실시하여 도출하였다. ITT 도입 평가요소 항목으로서 생산성, 안정성, 투자효율성, 운영효율성, 정책부합성에 대하여 검토하였으며, 각 하위 평가요소로서는 각각 3개씩에 대하여 총 15개의 하위요소에 대하여 평가를 실시하였으며, 이를 통하여 항후 부산 신항의 ITT 도입시 평가 요소로 활용될 수 있을 것으로 기대한다.

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Tariff Reduction and Within-Plant Productivity: Micro-evidence from Korean Manufacturing (수입관세 인하가 기업 생산성에 미치는 효과 분석)

  • Lee, Siwook
    • KDI Journal of Economic Policy
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    • v.29 no.3
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    • pp.75-109
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    • 2007
  • This paper empirically investigates the effects of import tariff on within-plant productivity growth in Korean manufacturing, using the detailed plant-level longitudinal data of the Korea Census of Manufacturers for the period of 1993-2003. Our main findings are as follows: First, the productivity changes of Korean manufacturing for the period under analysis were mostly induced by within-plant productivity gains, rather than within-industry and/or between-industry resource reallocations. Second, after controlling for firm-specific heterogeneity, the estimation results indicate that lowering tariff-barriers has a positive impact on within-plant TFP growth. We interpret the results in a way that trade liberalization through the removal of tariff and non-tariff barriers heightens the competitive pressure, which in turn creates incentives to reduce production and managerial inefficiency and to invest more on innovative activities. Third, we also find that plant productivity growth from reducing tariff barriers is particularly conspicuous within a year after tariff changes, which implies that plants are quickly adjusting to heightened import competition. On the other hand, our results show that the trade effect on employment creation proceeds relatively slow.

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Empirical Study on the Semi-Endogenous Growth Theory and Fully Endogenous Growth Theory in OECD Countries (OECD국가의 준 내생적 성장이론 및 완전한 내생적 성장이론에 대한 실증고찰)

  • Cho, Sang Sup;Yang, Youngseok;Kang, Shin-Won
    • International Area Studies Review
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    • v.12 no.3
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    • pp.153-169
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    • 2008
  • This paper examines the recently empirical test for the two types of endogenous growth models, which one is more fitted to real data. We adopt the non-stationary panel data methodologies for seeking empirical implication by using productivity and R&D data in the OECD over the past two decades. The Empirical tests show that there is a robust relationship Total Factor Productivity and R&D variables implied by semi-endogenous growth model. The relationship suggested by fully endogenous growth theory, however, is sensitive to R&D variables. Therefore, the estimation results provide empirical evidence in favour of endogenous growth theory of R&D expenditure role for sustaining economic growth. The sustained Total Factor Productivity, however, is maintained by more increasing R&D inputs for overcoming diminishing return to R&D efforts.

The Effects of Technological Progress on Growth, Employment and Distribution (성장 ${\cdot}$ 고용 ${\cdot}$ 분배에 대한 기술진보의 파급효과)

  • Im, Yang-Taek
    • Proceedings of the Technology Innovation Conference
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    • 2005.02a
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    • pp.220-267
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    • 2005
  • 본 연구의 분석목표는 순요소증가형 CES 생산함수를 실증적으로 추정함으로써 한국 제조업부문의 기술변화의 유형을 규명하고 성장 ${\cdot}$ 고용 ${\cdot}$ 분배에 대한 기술진보의 파급효과를 분석하는 것이다. 이 분석결과를 토대로 하여, 본 연구는 성장 ${\cdot}$ 고용 ${\cdot}$ 분배를 동시적으로 추구할 수 있는 정책방향을 기술경제 패러다임의 시각에서 제시하였다. 본 연구의 실증적 분석결과는 다음과 같이 요약할 수 있다 : 한국 제조업부문의 기술변화의 유형은 Hicks형 비(非)중립적인 자본사용적(B(t)>0) 즉 노동절약적 기술진보인 것으로 추정되었다. 이 결과, 잠재적 고용수준은 감소될 수밖에 없었다. 또한, Hicks형 중립적 기술진보를 나타내는 총요소생산성 증가율(${\gamma}$)은 감소하였던 반면에, 비(非)중립적 기술진보를 나타내는 요소간 대체탄력도(${\sigma}$)와 자본집약도(${\delta}$)는 증가하였다. 이에 따라 노동(L)이 자본(K)으로 광범위하게 대체되었을 뿐만 아니라, 자본투입(K)이 노동투입(L)보다 상대적으로 더 빠르게 증가 (K/K > L/L 즉 k/k > 0)되었다. 이 결과, 소득분배구조가 악화 (S/S< 0)된 것으로 추정되었다. 그러므로, 오늘날 경제성장의 한계 봉착, 대량실업의 폭발, 계층간 갈등의 심화를 초래한 요인은, 성장 ${\cdot}$ 고용 ${\cdot}$ 분배를 동시적으로 추구하는 산업 ${\cdot}$ 기술경제정책을 일관성있게, 또한 과감히 추진하지 않았던 결과, 노동사용적 중소기업의 몰락, 노동의 생산효율성 증진을 위한 인적자본 투자의 미흡, 자본의 생산효율성 증진을 위한 자본절약적 기술진보의 저조, 총요소 생산성 증가의 부진, 만성적인 인플레이션에 의한 실질 임금수준의 하락 및 실물 자산가치의 상승 등이라고 말할 수 있다. 따라서 성장 ${\cdot}$ 고용 ${\cdot}$ 분배의 조화는 바로 노동효율 증가형 기순혁신이며, 이를 위한 인적자본에의 투자라고 말할 수 있다. 본 연구가 기술경제 패러다임(techno-economic paradigm)의 시각에서 제시하는 한국경제의 성장 ${\cdot}$ 고용 ${\cdot}$ 분배를 위한 정책방향은 다음과 같은 동태적발전과정으로 요약할 수 있다 : 기초과학연구능력 확충 ${\rightarrow}$ 소화 ${\cdot}$ 흡수 ${\cdot}$ 개량 ${\rightarrow}$ 토착화 능력의 배양 ${\rightarrow}$ 자체기술개발, 선진기술 도입, 산업간 및 산업내 기술확산, 국제기술협력 ${\rightarrow}$ 기술혁신의 촉진 ${\rightarrow}$ 총요소생산성과 기업경쟁력(자원 및 역량, 프로세스 경쟁력, 품질경쟁력, 시장경쟁력, 고객성과, 시장성과, 재무성과)의 제고 ${\rightarrow}$ 가격경쟁력(임금, 금리, 물류비용, 환율 등)과 비(非)가격경쟁력(디자인, 에프터서비스, 품질, 운송 등)의 제고 ${\rightarrow}$ 국가경쟁력의 제고 ${\rightarrow}$ 국제수지 흑자 ${\rightarrow}$ 성장 ${\rightarrow}$ 물가 및 고용 안정 ${\rightarrow}$ 분배 ${\rightarrow}$ 최대다수의 최대행복이다.

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The Exploration of Intersectoral Convergence of Spatial Information Industry and Forecast of its Market Size (공간정보산업 융·복합부문 탐색 및 시장규모 전망 연구)

  • Kwon, Young-Hyun
    • Journal of Cadastre & Land InformatiX
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    • v.52 no.2
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    • pp.121-135
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    • 2022
  • The purpose of this study is to explore the convergence sector of the spatial information industry based on the business transaction data of spatial information companies and to predict the market size of the industry using the Seemingly Unrelated Regression(SUR) model. The convergence part of spatial information industry, which cannot be identified in the Spatial Data Industry Survey, was analyzed by exploring keywords related to spatial information using the business DB of Korea Enterprise Data (2010-2019). The convergence of spatial information businesses mainly appeared in the business relationship between the value chain between Seoul and Gyeonggi Province. The convergence business has the largest sales in the value chain 2 (utilization, service) & 3 (convergence), and also the convergence in the value chain 1 (production, construction) & 2, 2 & 3 stages has doubled in 2019 compared to 2010. In 2019, the total sales of the spatial information industry based on the Statistical Korea were announced at about 8 trillion won, but in this study, the total sales of the spatial information industry were estimated at 28 trillion won considering convergence activities. Finally, when scenario 1 (0.38% population growth, 2020-2024) and 0.07% (2026-2030) were applied using the SUR model to predict the expected market size of the industry, sales decreased by -0.37% to 0.069% in 2025 and 2030 by respectively. When scenario 2 (average wage growth 1.2%) was applied during the same period, sales in the industry increased by 2.326% to 12.185%. In other words, the sales in the spatial information industry depends on Labor, Total Factor Productivity, and Capital Productivity so it is necessary to additional research on policy development and alternatives of enhancing each productivity.

Impacts of R&D and Smallness of Scale on the Total Factor Productivity by Industry (R&D와 규모의 영세성이 산업별 총요소생산성에 미치는 영향)

  • Kim, Jung-Hwan;Lee, Dong-Ki;Lee, Bu-Hyung;Joo, Won
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.2 no.4
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    • pp.71-102
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    • 2007
  • There were many comprehensive analyses conducted within the existing research activities wherein factors affecting technology progress including investment in R&D vis-${\Box}$-vis their influences act as the determinants of TFP. Note, however, that there were few comprehensive analysis in the industrial research performed regarding the impact of the economy of scale as it affects TFP; most of these research studies dealt with the analysis of the non -parametric Malmquist productivity index or used the stochastic frontier production function models. No comprehensive analysis on the impacts of individual independent variables affecting TFP was performed. Therefore, this study obtained the TFP increase rate of each industry by analyzing the factors of the existing growth accounting equation and comprehensively analyzed the TFP determinants by constructing a comprehensive analysis model considering the investment in R&D and economy of scale (smallness by industry) as the influencers of TFP by industry. First, for the TFP increase rate of the 15 industries as a whole, the annual average increase rate for 1993${\sim}$ 1997 was approximately 3.8% only; during 1999${\sim}$ 2000 following the foreign exchange crisis, however, the annual increase rate rose to approximately 7.8%. By industry, the annual average increase rate of TFP between 1993 and 2000 stood at 11.6%, the highest in the electrical and electronic equipment manufacturing business and IT manufacturing sector. In contrast, a -0.4% increase rate was recorded in the furniture and other product manufacturing sectors. In the case of the service industry, the TFP increase rate was 7.3% in the transportation, warehousing, and communication sectors. This is much higher than the 2.9% posted in the electricity, water, and gas sectors and -3.7% recorded in the wholesale, food, and hotel businesses. The results of the comprehensive analysis conducted on the determinants of TFP showed that the correlations between R&D and TFP in general were positive (+) correlations whose significance has yet to be validated; in the model where the self-employed and unpaid family workers were used as proxy variables indicating the smallness of industry out of the total number of workers, however, significant negative (-) correlations were noted. On the other hand, the estimation factors of variables surrogating the smallness of scale in each industry showed that a consistently high "smallness of scale" in an industry means a decrease in the increase rate of TFP in the same industry.

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The Analysis of Cost Structure and Productivity in the Korea and Japan Railroad Industry (한국과 일본 철도산업의 비용구조와 생산성 분석)

  • Park, Jin-Gyeong;Kim, Seong-Su
    • Journal of Korean Society of Transportation
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    • v.24 no.2 s.88
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    • pp.65-78
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    • 2006
  • This paper investigates the cost structure ot the Korea and Japan railroad industry with respect to density, scale and scope economies as well as productivity growth rate using a generalized trans)og multiproduct cost function model. The paper then assumes that the Korea and Japan railway companies pi·educe three outputs (incumbent railway passenger-kilometers. Shinkansen passenger-kilometers, ton-kilometers of freight) using four input factors (labor, fuel, maintenance, rolling stock and capital). The specified cost function includes foul other independent variables: track lengths to reflect network effects, two dummies to reflect nation and ownership effects, and time trend as a proxy for technical change. The simultaneous equation system consisting of a cost function and three input share equations is estimated with the Zellner's iterative seemingly unrelated regression. The unbalanced panel data used in the paper, a total of 154 observations. are collected from the annual records of the Korea National Railroad (KNR) for the yews $1977{\sim}2003$, Japan National Railways (JNR) for the years $1977{\sim}1984$. seven Japan Railways (JR's) for the years $1987{\sim}2003$. The findings show that the Korean and Japanese railways exhibit product-specific and overall economies of density but product-specific diseconomies of scale with respect to incumbent railway passenger-kilometers, Shinkansen-kilometers and ton-kilometers. However, the railways experience mild overall economies of scale which result from economies of scope associated with the joint production of incumbent railway/Shinkansen and feight, freight/incumbent railway and Shinkansen except Shinkansen/incumbent railway and freight. In addition, the economies of density and scale in the KNR, JR east, JR central, and JR west companies at the point of the years $1990{\sim}2003$ average is generally analogous to the above results at the point of sample average. There also appear to be economies of ssope associated with the joint Production of the incumbent railway and Shinkansen in JR central but diseconomies of scope in JR East and JR West. The findings also indicate that the productivity growth rate of the privately-owned JR's is larger than that of the government-owned KNR.