The Effect of Individual Characteristics and Economic Environment on Entrepreneurship (개인의 계획된 행위와 국가경제환경이 기업가정신에 미치는 영향 분석: OECD국가를 대상으로)
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- Asia-Pacific Journal of Business Venturing and Entrepreneurship
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- v.11 no.4
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- pp.149-165
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- 2016
The objectives of this study is to assess the influence of individual characteristics and economic environment on the entrepreneurship such as entrepreneurial Intention and behavior based on the theory of Planned behaviors. This study used a country-level merged data set composed of GEM(Global Entrepreneurship Monitor) data and the OECD Statistics data. And this used the fixed effect model to analyze the panel data of 31 OECD countries during the period from 2005 to 2014. Our findings show that subjective norm has a significantly positive effect on entrepreneurial intention. In individual characteristics, the perceived opportunities has a significantly positive effect on early-stage entrepreneurial activity(TEA) and improvement-driven opportunity entrepreneurial activity. We identify the differences of between necessity-driven and improvement-driven opportunity entrepreneurial activity. For example, the effect on necessity-driven entrepreneurial activity is significantly negative. We also find the differences of between necessity-driven and improvement-driven opportunity entrepreneurial activity in economic environment variables. While real GDP growth as a demand variable has a significantly positive effect on necessity-driven entrepreneurial activity, unemployment rate as a supply variable has a significantly negative effect on early-stage entrepreneurial activity(TEA) and improvement-driven opportunity entrepreneurial activity. And GDP per capita as a supply variable has a significantly positive effect on early-stage entrepreneurial activity(TEA) and improvement-driven opportunity entrepreneurial activity. But the effect on necessity-driven entrepreneurial activity is significantly negative. We provide an interpretation of these empirical findings, emphasizing the importance of considering individual characteristics and economic environment simultaneously in promoting entrepreneurship.
Agriculture is a primary industry that influenced by the weather or meterological factors more than other industry. Global warming and worldwide climate changes, and unusual weather phenomena are fatal in agricultural industry and human life. Therefore, many previous studies have been made to find the relationship between weather and the productivity of agriculture. Meterological factors also influence on the distribution of agricultural product. For example, price of agricultural product is determined in the market, and also influenced by the weather of the market. However, there is only a few study was made to find this link. The objective of this study is to investigate the effects of meterological factors on the distribution of agricultural products, focusing on the distribution of chinese cabbages. Chinese cabbage is a main ingredient of Kimchi, and basic essential vegetable in Korean dinner table. However, the production of chinese cabbages is influenced by weather and very fluctuating so that the variation of its price is so unstable. Therefore, both consumers and farmers do not feel comfortable at the unstable price of chinese cabbages. In this study, we analyze the real transaction data of chinese cabbage in wholesale markets and meterological factors depending on the variety and geography. We collect and analyze data of meterological factors such as temperatures, humidity, cloudiness, rainfall, snowfall, wind speed, insolation, sunshine duration in producing and consuming region of chinese cabbages. The result of this study shows that the meterological factors such as temperature and humidity significantly influence on the volume and price of chinese cabbage transaction in wholesale market. Especially, the weather of consuming region has greater correlation effects on transaction than that of producing region in all types of chinese cabbages. Among the whole agricultural lifecycle of chinese cabbages, 'seeding - harvest - shipment - wholesale', meterological factors such as temperature and rainfall in shipment and wholesale period are significantly correlated with transaction volume and price of crops. Based on the result of correlation analysis, we make a regression analysis to verify the meterological factors' effects on the volume and price of chines cabbage transaction in wholesale market. The results of stepwise regression analysis are shown in