• 제목/요약/키워드: industry panel data

검색결과 295건 처리시간 0.027초

Environmental Quality in Indonesia: Disruption by Economic Agents

  • AZWARDI, Azwardi;SUKANTO, Sukanto;ADNAN, Nazeli;KURNIAWAN, Arika
    • Asian Journal of Business Environment
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    • 제12권1호
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    • pp.17-24
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    • 2022
  • Purpose: This study aims to determine the effect of economic agents, such as the amount of government expenditure on the environment, households, manufacturing industry, and shipping activities; on environmental degradation in Indonesia. Research design, data, and methodology: This study is conducted with 264 observations from panel data of 33 provinces during 2010-2017. Environmental degradation is measured by using the environmental quality index collected from Indonesian Ministry of Forestry and Indonesian Central Bureau of Statistics. Three testing models are used to test the panel data, namely Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Results: The research findings show that the amount of government expenditure on the environment, households, and shipping activities have a negative and significant effects on environmental degradation, while the number of manufacturing industry has positive and significant effect on environmental degradation. Unlike the previous studies, the result also shows that government expenditure on environmental has a positive and significant effect on environmental quality index. Conclusion: It can be concluded that even though Indonesian government spent a low budget on environment, their environmental regulation has succeeded both in reducing environmental degradation and increasing the environmental quality as indicated by Indonesian environmental quality index.

Formation of Employment Subcenters and Regional Industry Restructuring: Focusing Wholesale and Retail Sector in Incheon

  • YOO, Byong-Kook;KIM, Soon-Hong
    • 유통과학연구
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    • 제18권2호
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    • pp.59-67
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    • 2020
  • Purpose: This study examines the relationship between formation of employment subcenters and regional industrial structures in Incheon. Research design, data, and methodology: We used the five-year panel data from 2012 to 2016 in 146 basic municipal units of Incheon to analyze panel regression models. Gross employment density and employment to population ratio were used as indicators of employment subcenters formation. The entropy index and Hachman index were used for analyzing the diversity and heterogeneity of industrial structures. Result: The analyses of two panel regression models showed that for the formation of employment subcenters, both the Entropy and Hachman index were significantly negative in most models. But tertiary industry was shown to have a significant positive relationship in all models. In the wholesale and retail sector, it was found that the average number of employees in the employment subcenters is significantly higher than that in the non-employment subcenters. Conclusions: The specialization of the industrial structure rather than the diversification contributes to the formation of the employment subcenters in Incheon. In particular, it can be considered that the wholesale and retail sector plays a very important role in forming the employment subcenters in many areas of Incheon.

환경정책이 축산업의 규모와 입지에 미친 파급효과 -축산농가 규모별 분석- (The Impacts of Environmental Policy on Livestock Stocking and Location by Industry Size)

  • 박두호
    • 자원ㆍ환경경제연구
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    • 제15권1호
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    • pp.1-26
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    • 2006
  • 본 연구는 미국 주정부의 환경정책과 축산업의 규모 및 입지 선정과의 관계에 대한 분석을 시도하였다. 분석은 업종별이 아닌 소규모, 중규모 그리고 대규모의 세 가지 규모별로 미국의 487B 주의 29년 자료를 이용한 Panel 분석을 이용하였다. 결론을 보면 일반적으로 축산엽에 대한 규제는 축산업의 구조변화에 기인한 것으로 판단된다. 산업부문으로부터 외부효과를 정부정책의 틀 안에서 내재화하기 위한 노력인 것이다. 그러나 단순히 제도의 존재 여부는 산업부문의 행위에 결정적인 영향을 주지 못하며 주정부가 규제에 대한 집행의사를 가질 때에만 영향을 줄 수 있었다. 그러나 산업부문의 급격한 구조변화가 있는 경우 주정부의 제도 존재 여부도 영향력이 있는 것으로 판단된다. 특히 축산규모에 따라 그 영향이 달랐으며 대규모 농가가 소규모 농가보다 민감하게 반응하는 것으로 나타났다.

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우리나라 지역 및 산업간 고용격차 분석 (Analysis on Regional and Industrial Disparity of Employment in Korea)

  • 최명섭;조강주;김명수
    • 산업경영시스템학회지
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    • 제41권4호
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    • pp.34-41
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    • 2018
  • This paper studied balanced regional development focused on employment in Korea, by analyzing regional disparity between regional and industrial employment. A Gini-coefficient decomposition method and Panel Granger causality test were conducted, using raw data of the Census on Establishments reported by the Statistics Korea. The regional and industrial disparity of employment, based on the Gini-coefficient decomposition method, have increased by year. However, the growth rates of disparity are on the decrease. Most of employment disparity occurred from regional disparity between SMA (Seoul Metropolitan Area) and Non-SMA. Industrial disparity are occurred mainly by the service industry. The amount of contribution to the whole disparity of inter/intra regional employment was differed by each industrial sector. Also the causal relationship between employment growth of manufacture and that of service industry was analyzed by Panel Granger causality test. In national level, the employment growth in manufacture industry has conduced that in service industry. On the other hand, in the Non-SMA, only the employment growth in manufacture industry has augmented that in service industry. In conclusion, to reduce employment disparity, the strategy for balanced regional development should be emphasized. Different strategies are needed across regions and industries. Basically creating new job in the Non-SMA is inevitable. In view of stable employment, manufacture industry is more desirable rather than service industry.

사업포트폴리오의 기술시너지효과 :50대 재벌의 패널자료분석 (Technological Synergy Effect of Business Portfolio : Panel Data Analysis on 50 Largest Chaebols in Korea)

  • 김태유;박경민
    • 기술경영경제학회:학술대회논문집
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    • 기술경영경제학회 1996년도 제10회 동계학술발표회 논문집
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    • pp.265-295
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    • 1996
  • This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol′s performance using data on the 50 largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index we calculated inter-industry technological similarity using R&D expenditure data by industry and 1990 Input-output Table in Korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols′business profile, inter-industry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions, diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols′financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS (Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness is not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI (Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and f[ are significant and positively related to the deepened variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or W will increase TFP growth rate. but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.

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한국노동패널자료를 활용한 국내 운송업 고용생산성 결정요인 분석 (An Analysis of the Determinants of Employment Productivity in Korean Transportation Industry Using Korea Labor and Income Panel Study)

  • 소애림;신승식
    • 한국항만경제학회지
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    • 제35권1호
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    • pp.57-76
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    • 2019
  • 본 연구는 우리나라 산업 발전에 크게 기여한 운송산업의 주체인 운송업 종사자의 고용생산성 결정요인에 대해 다룬다. 본 연구는 노동패널자료를 활용해 운송업의 고용생산성 결정요인을 선정하고 패널 로지스틱 회귀 모형(Panel Logistic Regression), Panel OLS 모형, Panel Robust regression 모형을 활용하여 요인 간 영향력을 분석하였다. 분석 결과는 다음과 같다. 첫째, 정규직 여부의 경우 '학력'이 높을수록, '노조가입' 할수록, '직업훈련 경험'이 있을수록 긍정적인 효과가 나타난 것으로 분석되었다. 둘째, 고용안정성은 '학력'이 높고 '노조가입' 할수록 긍정적인 영향이 미치는 것으로 조사되었으며, '회사규모'가 크고 '기혼'일 경우 고용안정성이 큰 것으로 분석되었다. 셋째, 소득생산성의 경우 '나이', '학력', '회사규모'의 값이 클수록 긍정적인 영향을 미치고 '직업훈련 이외의 교육', '건강상태'의 값이 클수록 부정적인 영향을 미치는 것으로 분석되었다. 넷째, 직무만족도의 경우는 '여성'일수록, '노조가입' 할수록, '소득'이 높을수록, '고용안정성'이 높을수록 높았고, '보통사람대비 건강상태'가 좋을수록, '전반적 생활만족도'와 '경제적 수준'이 높을수록 직무만족도는 낮은 것으로 분석되었다. 본 연구에서 도출한 운송산업 고용생산성 결정요인의 분석과 향상 방안 모색을 통해 운송업 고용 생산성 향상에 기여할 수 있을 것으로 생각된다.

ICF 모델에 기반한 노인의 우울에 영향을 미치는 요인: 한국복지패널 자료를 활용한 종단분석 (Factors Influencing Depression in the Elderly Based on the ICF Model: A Longitudinal Analysis Using Data from the Korea Welfare Panel Study)

  • 심유화
    • 한국산업융합학회 논문집
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    • 제27권4_2호
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    • pp.961-972
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    • 2024
  • As the global elderly population rapidly increases, the mental health of the elderly, particularly depression, has emerged as a significant social issue. This study analyzes the various factors influencing depression in the elderly based on the ICF model. Utilizing data from the Korea Welfare Panel Study, the study identifies the types of changes in depression among individuals aged 65 and older and examines the factors influencing these changes. This longitudinal secondary data analysis research uses the most recent three years of data (2021-2023) from the Korea Welfare Panel. The study sample consisted of 965 elderly individuals, and a latent class growth model was applied to identify the types of depression changes, while a multinomial logistic regression analysis was conducted to analyze the influencing factors. The analysis revealed that elderly depression could be categorized into four types: high-level decrease, high-level maintenance, low-level increase, and low-level maintenance. Main influencing factors included gender, age, education, poverty, social trust, social relationships, participation in economic activities, participation in religious activities, and health status. Particularly, social relationships and health status were significant factors affecting the types of depression changes. To mitigate depression in the elderly, a multifaceted approach considering both individual characteristics and social relationships and health status is required. The study suggests the development of community-based programs and trust-building activities at the community level to maintain and strengthen the social relationships of the elderly. These findings can serve as important foundational data for policies and practices aimed at improving the mental health of the elderly.

e-비즈니스의 유통기업 성장성 및 수익성 기여 효과분석 (The Effect of E-Business on Firm's Growth and Profitability in the Distribution Industry)

  • 백철우
    • 유통과학연구
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    • 제15권1호
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    • pp.123-130
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    • 2017
  • Purpose - This research aims to examine the effect of e-business adoption on firm's growth and profitability in the distribution industry. The value added from the distribution industry acts as the cost of other industries. As the distribution industry develops, its stage becomes shorter and the distribution margin becomes smaller. Therefore, e-business is expected to have a different effect on the distribution industry than other industries. Research design, data and methodology - The previous research generally used e-business adoption as an independent variable and firm's performance as a dependent variable. This study elaborated the model using a dynamic panel model that includes the performance variable of the previous year as an independent variable. By employing system GMM (Generalized Method of Moments), the endogeneity problem in the dynamic panel model can be solved. For the analysis, I extracted the distribution companies as the raw data in the National Statistical Office's Business Activity Survey over the period 2006 to 2012. Results - The growth rate of firms adopting e-business was 0.299%p higher than that of the non-adopter. However, only ERP (Enterprise Resource Planning), KMS (Knowledge Management System) and SCM (Supply Chain Management) contributed positively to the growth rate. In the case of profitability, it was 0.04%p higher than the distribution companies that did not adopt e-business. ERP and LMS (Learning Management System) improve profitability, while SCM reduces profitability. Consequently, while ERP improves both growth and profitability, SCM improves growth but reduces profitability. In addition, KMS improves firm's growth only, and LMS does only profitability, showing that each e-business has a differentiated effect. Conclusions - Since the distribution industry has different characteristics from manufacturing and other service industries, the introduction of e-business may not guarantee the growth and profitability of distribution companies. Careful introduction considering the characteristics of the distribution industry is required. In particular, it is necessary to select an e-business meeting the characteristics and needs of a distribution company, and thereafter, it is required for the company's own efforts to internalize it within the system.

항공운송산업의 전략적 제휴와 생산성에 대한 연구 (Strategic Alliances and Productivity in Air Transport Industry)

  • 여규헌;이영수
    • 한국항공운항학회지
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    • 제15권4호
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    • pp.131-141
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    • 2007
  • This paper identifies the productivity in the Global Air Transport Industry for the period of 1995-2001 by testing the Total Factor Productivity with tonqvist method. Based on panel data from 20 major international airline corporations which formed global strategic alliances, we find alliances make a considerably significant contribution to productivity increases. We also find that total factor productivity rate changed surprisingly in Air Transport Industry between pre- and post-Asian financial crisis period.

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보건 및 사회복지서비스업 기업가적 지향성 하위요인이 조직 성과에 미치는 영향 (The Impact of Entrepreneurial Orientation Subfactors on Organizational Performance in the Health and Social Welfare Services Industry)

  • 류주현
    • 산업융합연구
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    • 제22권6호
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    • pp.73-80
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    • 2024
  • 본 고의 목적은 보건 및 사회복지서비스업 기업가적 지향성 하위요인이 조직 성과에 미치는 영향을 검증하는 것이다. 이를 위해 한국청년기업가정신재단에서 실시한 2022년 기업가정신 패널조사 기업편 중 보건 및 사회복지서비스업 272개 조직의 응답자료를 분석자료로 활용하였다. 분석을 위해 SPSS 25.0 ver. 프로그램으로 회귀분석을 실시하였다. 분석결과, 기업가적 지향성 하위요인인 자율성, 진취성, 혁신성, 경쟁추구성 순으로 조직 성과에 긍정적 영향을 미치는 것으로 분석되었다. 반면 위험감수성은 조직 성과에 영향을 미치지 않는 것으로 나타났다. 이러한 결과를 바탕으로 기업가적 지향성 조직문화 구축, 기업가적 지향성에 대한 보상 강화 등의 제언을 제시하였다.