167 research outputs found

    Global Collaboration and Technology Impact for Regional Development : A Successful Case in Japanese Flower Industry

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    Knowledge spillover on advanced technology is thought to be one of the most significant measures for encouraging regional industries as well as forming regional industrial cluster. However, in many rural areas, it is not easy to produce spillover itself because of lack of effective knowledge source and lack of capability of surrounding regional enterprises for utilizing spilled out knowledge/technology, in addition to the difficulty of forming an effective industrial cluster. The case researched here is one successful example of local business on lily bulbs, in Kochi. Kochi is a warm, mild climate, rural area in Japan, suitable for growing lily bulbs. However, one problem for this industry was the difficulty to ship/grow lily bulbs in winter because lily bulbs cannot be cropped in cold seasons. The company’s unique idea was to import lily bulbs to Japan, located in the north hemisphere, from some countries in the southern hemisphere by using freezing containers and large freezing compartments and ship the bulbs to the flower farmers after warming them up. By this measure, they could monopolize the winter bulb market in Japan. This case implies us significance of finding a competitive business model in rural regions. Here, global collaboration is one very important element to find such a business model. Even by using conventional technology (what we call low-tech), not by using advanced technology (high-tech), regional industries can be effectively encouraged by adapting technologies to such a suitable business model.conference pape

    中国社会変動における村落と家族 : 研究経過報告

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    Article共同研究departmental bulletin pape

    産業資材の配給に関する一考察

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    大学生における古典的対人恐怖心性の発達的変化

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    Literature Review of Quantative research on Distributed Leadership

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    大学生の人間的な成長に関する研究の動向

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    Does democracy cause growth? A meta-analysis (of 2000 regressions)

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    The relationship between democracy and economic growth has been widely debated in the social sciences with contrasting results. We apply a meta-analytical framework surveying 188 studies (2047 models) covering 36 years of research in the field. We also compare the effect of democracy on growth with the effect of human capital on growth in a sub-sample of 111 studies (875 models). Our findings suggest that democracy has a positive and direct effect on economic growth beyond the reach of publication bias, albeit weaker (about one third) of that of human capital. Further, the growth effect of democracy appears to be stronger in more recent papers not surveyed in Doucouliagos and Uluba\u15fo\u11flu (2008). Finally, we show that the heterogeneity in the reported results is mainly driven by spatial and temporal differences in the samples, indicating that the democracy and growth nexus is not homogeneous across world regions and decades

    Does democracy cause growth? A meta-analysis perspective

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    The relationship between democracy and economic growth has long been investigated both in the political science and in the economic literature with inconclusive outcomes. By adopting a multi-level meta-analysis framework, we tried to shed lights on this conundrum. Our hierarchical sample includes 103 studies containing 942 point-estimates. Our random effects model suggests that the sign of this relationship, albeit positive, is statistically weak. We then address the high between-studies heterogeneity by adopting meta-regression analysis models. Results are striking: the effect sizes\u2019 variance is largely driven by spatial and temporal differences in the samples, indicating that the democracy and growth nexus is not homogeneous across world regions and time periods. Conversely, the large number of control variables included in the papers, do not impact the reported results. At the same time, models estimated by means of the within estimator have a significant, albeit negative, impact on economic growth. This seems to suggest that scholars have not yet found the appropriate control variables - or their suitable proxies - to explain such widely debated relationship
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