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Given that Turkey has recently committed itself for the first time to reducing its CO 2 emissions in the interest of sustainable growth in not only Turkey but also the world as a whole, this paper examines the relationship between energy consumption, CO 2 emissions, and economic growth in Turkey for the period 1960-2014. In view of the different findings concerning causality and the character of the relationships between these variables revealed in our review of past studies (in most cases using quite different methods), this paper utilizes several different but related methodological approaches for identifying causal relationships. These include both the Toda and Yamamoto (1995) approach, the Fourier Toda-Yamamoto for Cumulative Frequency approach developed by Nazlioglu et al. (2016), vector error correction model (VECM) methodology, and the asymmetric Granger causality test proposed by Hatemi-J (Empir Econ 43:447-456, Hatemi-j 2012). Our results show that, when we apply the popular Toda-Yamamoto model, causality in these relationships is not confirmed even among any of the relevant variables in Turkey. Yet, when the Fourier Toda-Yamamoto tests for cumulative frequency are employed, we find unidirectional causality running from GDP per capita to emissions of CO 2 per capita. Moreover, when we utilize the VECM methodology, the results show that long-run causality exists from GDP per capita and energy to CO 2 emissions. When we apply the asymmetric causality tests, the results provide even stronger evidence for a unidirectional causal relationship from GDP per capita to CO 2 emissions. As a result, the latter sets of results, based on more realistic conditions, suggest very strongly that, if Turkey is to meet the objectives of its ambitious Climate Change Action Plan commitment to the United Nations to reduce its CO 2 per capita emissions relative to its past trends by up to 21% over the coming 2021-2030 decade, it is going to get very serious about the best way to do this as soon as possible.

This paper introduces a mixed method approach for analyzing the determinants of natural latex yields and the associated spatial variations and identifying the most suitable regions for producing latex. Geographically Weighted Regressions (GWR) and Iterative Self-Organizing Data Analysis Technique (ISODATA) are jointly applied to the georeferenced data points collected from the rubber plantations in Xishuangbanna (in Yunnan province, south China) and other remotely-sensed spatial data. According to the GWR models, Age of rubber tree, Percent of clay in soil, Elevation, Solar radiation, Population, Distance from road, Distance from stream, Precipitation, and Mean temperature turn out statistically significant, indicating that these are the major determinants shaping latex yields at the prefecture level. However, the signs and magnitudes of the parameter estimates at the aggregate level are different from those at the lower spatial level, and the differences are due to diverse reasons. The ISODATA classifies the landscape into three categories: high, medium, and low potential yields. The map reveals that Mengla County has the majority of land with high potential yield, while Jinghong City and Menghai County show lower potential yield. In short, the mixed method can offer a means of providing greater insights in the prediction of agricultural production., Competing Interests: Conflicts of Interest: The authors declare no conflict of interest.

This paper identifies various kinds of risk and uncertainty observable in rural areas of developing countries and explains the relative importance of those pertaining to disability and old age. It compares the modern system (based on old age pensions and social security) for mitigating or coping with these risks with the traditional intrafamilial support mechanisms. The paper concludes that, when the traditional system is functioning smoothly, it can address these needs at far lower cost than the modern system. The efficiency and viability of the traditional system can be considerably enhanced by the presence of social norms, on the one hand, and of strategic instruments in the hands of household heads, on the other. Since both of these defenses are often undermined prematurely by modernizing influences, the paper identifies possible actions for avoiding or postponing the effects of such influences.

Abstract Extract In their recent paper in this journal M. and Carol Vlassoff are to be commended for helping to remedy the dearth of empirical studies on the old-age security motive for children (and particularly sons) in rural areas of developing countries.(1) However, while the questionnaire which they applied to 357 ever-married men in a rural village in Maharashtra state in India is potentially useful, several of the conclusions they derive from it are unwarranted and, if left unquestioned, would undoubtedly have the effect of setting back the serious investigation of the effects of this motive rather than furthering it. The invalid or at least questionable inferences are taken up one at a time in the order of their appearance: