• Proceedings of the Korean Society of Life Science Conference
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• 2008.10a
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• pp.53.1-53.1
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• 2008

• Proceedings of the Korean Society of Life Science Conference
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• 2008.10a
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• pp.52.2-52.2
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• 2008

• Environmental Engineering Research
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• v.22 no.1
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• pp.116-124
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• 2017

The study makes an attempt to investigate the causal nexus between carbon dioxide emissions, GDP per capita, industrialization and population with an evidence from Rwanda by employing a time series data spanning from 1965 to 2011 using the autoregressive distributed lag model. Evidence from the study shows that carbon dioxide emissions, GDP per capita, industrialization and population are co-integrated and have a long-run equilibrium relationship. Evidence from the Granger-causality shows a unidirectional causality running from industrialization to GDP per capita, population to carbon dioxide emissions, population to GDP per capita and population to industrialization. Evidence from the long-run elasticities has policy implications for Rwanda; a 1% increase in GDP per capita will decrease carbon dioxide emissions by 1.45%, while a 1% increase in industrialization will increase carbon dioxide emissions by 1.64% in the long-run. Increasing economic growth in Rwanda will therefore reduce environmental pollution in the long-run which appears to support the validity of the environmental Kuznets curve hypothesis. However, industrialization leads to more emissions of carbon dioxide, which reduces environment, health and air quality. It is noteworthy that the Rwandan Government promotes sustainable industrialization, which improves the use of clean and environmentally sound raw materials, industrial process and technologies.

• 한국약용작물학회:학술대회논문집
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• 2008.11a
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• pp.247-248
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• 2008

• Journal of Environmental Science International
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• v.7 no.2
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• pp.191-194
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• 1998

In this research, two stochastic models are considered to detect and estimate the effect of air temperature change due to Industrialization In Ulsan area. Using the monthly mean minimum air temperature anomalies, the data are divided Into pre-Industrialization part and Industrialization one for analysis. The ARM(autoregressive moving-average) model and intervention model have been applied to the data for the analysis. The results show that the variability of minimum temperature anomalies are very significant In 1989, and also significant In 1971 when the Industrialization have started. Therefore, It Is stochastically possible to estimate the time when the affection of Increase of the temperature concerning Industrialization to climate change In Usm area has happened.

• 한국약용작물학회:학술대회논문집
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• 2009.05a
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• pp.205-206
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• 2009

• Architectural research
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• v.23 no.2
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• pp.29-37
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• 2021

Early in the communist era, many cities in modern China experienced a special period of passive industrialization during which the construction of urban spaces laid the spatial urban foundation. During this period, the city construction was carried out rapidly under the administrative intervention of the government. The passive industrialization caused by taking economic construction as the center made the city construction deviate from the correct track and resulted in a variety of problems. Focusing on ecological space change, this paper selects Zhengzhou as an example of many similar cities in China, and analyzes the impact of passive industrialization on urban ecological spaces from the perspectives of city scale, city layout and city construction management system. The analysis results reveal that the construction of urban ecological space under the influence of passive industrialization induced a lagging characteristic, led to insufficient integrity of urban ecological space, and placed great pressure on the urban environment. Finally, the paper puts forward some methods to optimize the urban ecological space.

• Korean Journal of Agricultural Science
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• v.46 no.3
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• pp.519-527
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• 2019

In Korea, the $6^{th}$ industrialization in the agricultural sector has increased farmers' income and value-added agricultural products. Local governments, including Chungcheongnam-do, as well as the Ministry of Agriculture, Food and Rural Affairs, introduced the $6^{th}$ industrialization to the agricultural sector and operated various programs for the $6^{th}$ industrialization in the agricultural sector. Recently, the capacity of human resources for the $6^{th}$ industrialization in the agricultural sector became one of the important problems which might limit the effect of the $6^{th}$ industrialization in Korea. Chungcheongnam-do introduced an education program in 2018 to improve the capacity of people who work for the $6^{th}$ industrialization in the agricultural sector. However, researchers have rarely studied or discussed the current status of this education program. The aims of this paper were to analyze the current status of the education program for the $6^{th}$ industrialization in the agricultural sector through a survey, frequency analysis and analytical hierarchy process (AHP) and to present a way to improve the effect of the education program. The results of this study are as follows: First, the students in the education program were generally satisfied with the lectures and achieved knowledge and social networking among the students. Second, practical lectures, including practice and field experience, need to be expanded for the students instead of theory lectures. Third, networking between students and experts should be strengthened.

• Journal of Korean Society of Rural Planning
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• v.24 no.2
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• pp.1-19
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• 2018

This study analyzed business ecosystems in 4 case regions(Yeongdong, Seocheon, Sunchang, and Hadong) that carry forward the regional $6^{th}$ industrialization. The analysis aimed to draw implications to build a healthy ecosystem for the sustainable development of the regional $6^{th}$ industrialization. As a result of the analysis, 4 districts show different characteristics for their growth stages, and these results provide implications for policy directions for the development of the regional industry. The following basic direction was set for the sustainable regional $6^{th}$ industrialization based on the healthy ecosystem. First, policy support should be differentiated by considering each region's growth stage. Second, to improve the regional innovation capacity, it is needed to lay the foundation continually and strengthen diverse support for it. Third, a stronger and efficient implementation system is necessary for the regional $6^{th}$ industrialization.

• The Journal of Industrial Distribution & Business
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• v.9 no.3
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• pp.31-43
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• 2018

Purpose - With the technology of the 4th industrial revolution, business models of agricultural sector are changing rapidly toward convergence and high value-added business models due to the 6th industrialization of agricultural. Our goals is to examine the 6th industrialization of agriculture, and then to apply the technology of the 4th industrial revolution to the 6th industrialization of agriculture, suggesting the possibility of future agriculture, and then linking the export competitiveness of agricultural products. Research design, data, and methodology - As the methodology, case studies and empirical analyzes were conducted as well as literature studies. The case analyses included tomatoes, pig breeding farms, and an empirical analysis was conducted using the AHP analysis by experts of the 6th industrialization. In addition, using 124 survey data, this study examined and analyzed the items of the 4th industrial revolution technology for the 6th industrialization of agriculture and the strengthening of export competitiveness. Results - Results showed that the technology of the 4th Industrial Revolution helped "6th industrialization of agriculture" and "the strengthening of export competitiveness" using two successful cases. The AHP analysis was also carried out, and it was found that the improvement of the technology in the 4th industrial revolution could contribute to the future industrialization as well as the 6th industrialization of agriculture. First of all, we looked many conditions were important and urgent. Among the technologies of the 4th industrial revolution, the mobile, big data were important. Moreover, it was recognized that linkage and convergence related efforts would greatly contribute to strengthening export competitiveness of agriculture such as price and quality competitiveness. Conclusions - The 4th industrial revolution such as hyper-connectivity, hyper-intelligence and hyper-predictability contribute greatly to the 6th industrialization of agriculture, and therefore it is essential to improve the competitiveness of the agricultural sector by using the technology of the 4th industrial revolution. In particular, based on analyses of the diamond model, the "demand conditions" was the most important factor for the activation of the 6th Industrialization, and then "related and supporting fields", "factor conditions" and "business context" were followed in order. The results of this study can be useful for policy, practical and academic sectors.