• Economic and Environmental Geology
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• v.55 no.6
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• pp.617-632
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• 2022

In recent years, environmental pollution and determining the main factors causing this pollution have become an important issue. This study investigates the relationship between the agricultural sector and environmental pollution in Azerbaijan for 1992-2018. The dependent variable in the study is the agricultural greenhouse gas emissions (CO₂ equivalent). Eight variables were selected as explanatory variables: four agricultural inputs and four agricultural macro indicators. Unit root tests, ARDL boundary test, FMOLS, DOLS and CCR long-term estimators, Granger causality analysis, and variance decomposition analyses were used to investigate the effect of these variables on agricultural emissions. The results show that chemical fertilizer consumption, livestock number, and pesticide use positively and statistically significantly affect agricultural emissions from agricultural input variables. In contrast, agricultural energy consumption has a negative and significant effect. From agricultural macro indicator variables, it was found that the crop and animal production index had a positive and significant effect on agricultural emissions. According to the Granger causality test results, it was concluded that there are a causality relationship from chemical fertilizer consumption, livestock number, crop and livestock production index variables towards agricultural emissions. Considering all the results obtained, it is seen that the variables that have the most effect on the increase in agricultural emissions in Azerbaijan are the number of livestock, the consumption of chemical fertilizers, and the use of pesticides, respectively. The results from the research will contribute to the information on agricultural greenhouse gas emissions and will play an enlightening role for policymakers and the general public.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.205-214
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• 2017

The purpose of this study is to identify the perceptions of organizational members in new product development. This study suggested the successful new product development through the awareness among CEO and other members of the recognition of various factors that appear in the process of new product development by technical-oriented venture companies. Other members were more competitive in the technical area than CEO and were recognized as important strategic factors. As perceived market environment, perception of macro-environment is perceived by other members to be sensitive technical environment and economic factors, and law part is recognized as important. Recognition in a micro-environment has been associated with higher perceptions of employees and competitors, and siliar perceptions of marketing strategy and supplier relationships. This study suggested strategies for successful new product development by reducing the difference of perception between communication and environment of new products by SEMs and venture companies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.195-200
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• 2021

In recent years, Vietnam's economic growth rate has been attributed to the growth of many well-managed industries within Southeast Asia. Among them is the civil construction industry. Construction projects typically take a long time to complete and require a huge budget. Many socio-economic variables and factors affect total construction project costs due to market fluctuations. In recent years, crucial socioeconomic development indicators of construction reached a fairly high growth rate. Also, most infrastructure and construction projects have a high degree of complexity and uncertainty. This makes it challenging to predict the accurate project price. These challenges raise the need to recognize significant factors that influence the construction price index of civil buildings in Vietnam, both micro and macro. Therefore, this paper presents critical factors that affect the construction price index using the fuzzy extent analysis process in an uncertain environment. This proposed quantitative model is expected to reflect the uncertainty in the process of evaluating and ranking the influencing factors of the construction price index in Vietnam. The research results would also allow project stakeholders to be more informed of the factors affecting the construction price index in the context of Vietnam's civil construction industry. They also enable construction contractors to estimate project costs and bid rates better, enhancing their project and risk management performance.

• Asian Journal of Business Environment
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• v.13 no.2
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• pp.9-20
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• 2023

Purpose: This study aims to map the spatial distribution of poverty using nighttime light satellite images as a proxy indicator of economic activities and infrastructure distribution in D.I Yogyakarta, Indonesia. Research design, data, and methodology: This study uses official poverty statistics (National Socio-economic Survey (SUSENAS) and Poverty Database 2015) to compare satellite imagery's ability to identify poor urban areas in D.I Yogyakarta. National Socioeconomic Survey (SUSENAS), as poverty statistics at the macro level, uses expenditure to determine the poor in a region. Poverty Database 2015 (BDT 2015), as poverty statistics at the micro-level, uses asset ownership to determine the poor population in an area. Pearson correlation is used to identify the correlation among variables and construct a Support Vector Regression (SVR) model to estimate the poverty level at a granular level of 1 km x 1 km. Results: It is found that macro poverty level and moderate annual nighttime light intensity have a Pearson correlation of 74 percent. It is more significant than micro poverty, with the Pearson correlation being 49 percent in 2015. The SVR prediction model can achieve the root mean squared error (RMSE) of up to 8.48 percent on SUSENAS 2020 poverty data.Conclusion: Nighttime light satellite imagery data has potential benefits as alternative data to support regional poverty mapping, especially in urban areas. Using satellite imagery data is better at predicting regional poverty based on expenditure than asset ownership at the micro-level. Light intensity at night can better describe the use of electricity consumption for economic activities at night, which is captured in spending on electricity financing compared to asset ownership.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.40-43
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• 2000

In this paper, we investigate how the average survival time of listed companies in the Korea Stock Exchange (KSE) are affected by changes in macro-economic environment and covariate vectors which show peculiar financial characteristics of each company. We also apply the survival analysis approach to the dichotomous firm failure prediction and the results show a similar pattern of forecasting performance using the existing dichotomous prediction techniques. These findings suggest that, when we consider a bankruptcy model under a certain economic event, the survival approach can be a useful alternative to the existing dichotomous prediction methods since the approach provides estimation of average survival time as well as simple binary prediction.

• Korean Journal of Health Education and Promotion
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• v.7 no.1
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• pp.33-38
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• 1990

This study was carried out to identify variables related to morbidity perceived by residents who lived in an urban poor community in Seoul city, to analyze correlation between varibles and morbidity, and to find out factors related to the morbidity. Chi-square test, t-test, Pearson's C. C., and factor analysis were employed in this study. The factors labelled by this study are family expenses, housing environment, consumption level, and health care. It may be concluded that a morbidity pattern in specific communicty is strongly associated with socio-economic factors as we observe it at macro level. If the conclusion is acceptable, the health care system should pay attention to reducing the incidence itself through controlling socio-economic aspects of the community and should be reoriented. In this context, the primary health care approach which World Health Organization has advocated can be justified.

• Journal of Family Resource Management and Policy Review
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• v.5 no.1
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• pp.49-60
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• 2001

This research examined elderly’s quality of life(q/l). In order to explore the elderly’s q/l, it was conceptualized into 8 dimensions tapping macro and micro aspects of elderly’s life: physical & mental health, self-esteem, anxiety, social support, family solidarity, economic state, and physical environment. The primary purposes were to describe dimensions of q/l by the elderly’s sociodemographic variables. And the intercorrelations among q/l dimensions were examined and then the effects of q/l sub-dimensions on psychological well-being were analyzed by using multiple regression. Based on the data collected for 677 subjects residing in rural and urban areas, the basic issues hypothesized were explored. The findings appeared that the psychological well-being was a positive function of physical and mental health, self-esteem, social support, and economic state and a negative one of social anxiety, controlling for subjects’s sociodemographic variables.

• The Journal of Industrial Distribution & Business
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• v.7 no.3
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• pp.27-36
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• 2016

Purpose - Considering the importance of housing needs to real estate market, domestic studies on real estate prices from the perspective of demand are basically based on macro-data, but relatively few are associated with micro-data of urban real estate demand. We try to find a reliable relation of elasticity of demand and commercial housing market. Research design, data, and methodology - In this paper, we have derived housing demand theoretic method and have utilized micro-data of residential family housing survey of downtown area in Kunming City in October, 2015 to estimate income elasticity and price elasticity of housing demand respectively and make a comparative analysis. Results - The results indicate that income elasticity and price elasticity of families with owner-occupied housing are both larger than those of families with rental housing. Income elasticity of housing demand of urban residential families in Kunming is far below the foreign average and eastern coastal cities level, however, the corresponding price elasticity is far higher. Conclusions - We suggest that housing affordability of urban families in western China are constrained by the level of economic development, and the current housing price level has exceeded the economic affordability and psychological expectation of ordinary residents. Furthermore, noticing the great rigidity of housing demand, the expansion space of housing market for improvement and for commodity is limited.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.46 no.5
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• pp.513-519
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• 2013

The fishing industry in Europe has faced environmental, economic, and social challenges. Since the early 2000s, a key tool in addressing these challenges has been information and communication technology (ICT), which has helped to modernize fishery systems in European Union (EU) countries. The ICT used in EU fisheries can be categorized broadly as 1) macro-technologies such as satellite and other remote sensing technologies in combination with geographical information systems, 2) micro-technologies adapted for fishing vessels such as echo sounders, ship navigation devices, and mobile communication devices to connect fishermen and consumers, and 3) onshore micro-technologies related to internet technology and mobile devices. The European Monitoring Center on Change has used ICT to effectively manage fisheries bio-resources. This use of ICT has contributed to the development of sustainable and competent fisheries in the 2000s, even though the knowledge-sharing practices involved are contrary to the long tradition of autonomy within the fishery industry.

• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.6
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• pp.712-720
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• 2014

In this article, legislational and economic meaning of Marine Pollution Prevention Law (MPPL) of North Korea was studied with review and comparison of North Korea's environmental legislation system. North Korea's MPPL is the basic legislation system against pollution activities. This law has the purpose of gaining of marine environmental protection and resources and declares mainly the marine environmental protection with little definition of action plan and means. To analyze economic achievements of MPPL, more macro- and microeconomic data of North Korea should be accumulated. However, environmental issues are relatively effective to discuss common goal of environmental protection and economical cooperation between Korea and North Korea. To prepare reunification, understanding of North Korea's MPPL is the first step for collaboration of marine environmental conservation.