Recently, global warming (greenhouse effect) and its effects have become one of the hottest topics in the world agenda. There have been several international attempts to reduce the negative effects of global warming. Kyoto Protocol can be cited as the most important agreement which tries to limit the countries’ emissions within a time horizon. For this reason it becomes important to calculate the greenhouse gas emissions of countries. The aim of this study is to estimate the amount of CO2 -the most important greenhouse gas- emissions, for the Turkish economy. An extended input-output model is estimated by using 1996 data in order to identify the sources of CO2 emissions and to discuss the share of sectors in total emission. Besides ‘CO2 responsibility’, which takes into account the CO2 content of imports, is estimated for the Turkish economy. The sectoral CO2 emissions and CO2 responsibilities are compared and these two notions are linked to foreign trade volume. One of the main conclusions is that the manufacturing industry has the first place in both of the rankings for CO2 emissions and CO2 responsibilities; while agriculture and husbandry has the last place.

In this study, we analyze Turkey’s manufacturing industry trade by estimating sectoral import and export demand equations for 1980-2000. The study aims to understand whether the trade in the manufacturing industry complies with pollution haven hypothesis, and whether the free trade environment provided by the customs union (CU) agreement altered the trade pattern of the clean and dirty industries. Results of our econometric models have shown that while CU positively affects the import demand, it does not have any significant impact on the export demand of Turkish manufacturing industry. In terms of the environmental impact, distinction between clean and dirty industries turns out to be significant for both import and export demand. In general, our findings suggest that both clean and dirty industries’ import demand increase during the study period. In terms of export demand, clean industries’ export demand declines whereas dirty industries’ export demand increases compared to the total demand.

This study aims to analyze rural household work and leisure time and how it is allocated among various activities and by socio-economic characteristics of individuals. The analysis is based on a survey carried out in two central Anatolian villages. Three time use questionnaires are administered between May-October 2003 during two different days of the week, an ordinary weekday and the day of the local bazaar. 138 household members from these two villages have participated in the survey. It is found that on the average, the villagers spend over half of their non-sleeping time on non-economic activities including personal development. The remaining time spent on agricultural and non-agricultural economic activities is about the same. Males on the average spend more time on all activities than females except for personal development. The results show that, time use patterns change during different days of the week and months of the year. It is also found that, there is a high correlation between time use patterns and socio-economic characteristics of the households. In general there are statistically significant differences in the average time devoted to activities by education and age groups. Finally, significant differences are observed in the time use patterns rather than magnitudes by gender. As expected, differentiation in men’s and women’s roles is observed in agricultural activities.

This paper describes and analyses Vision 2023 Turkish National Technology Foresight Program. The paper is not about a mere description of the activities undertaken. It analyses the Program from a contextualist perspective, where the Program is considered in its own national and organizational contexts by discussing how the factors in these contexts led to the particular decisions taken and approaches adopted when the exercise was organized, designed and practiced. With the description and analysis of the Vision 2023 Technology Foresight Program, the paper suggests that each Foresight exercise should be considered in its own context. The exercise should be organized, designed and practiced by considering the effects of the external contexts (national, regional and/or corporate) and organizational factors stemming from these different context levels along with the nature of the issue being worked on, which constitute the content of the exercise.