A Review of Kyoto Protocol Adoption in Russia: Joint Implementation in Focus

Russia’s role in ‘animation’ of the Kyoto Protocol was crucial. Its initial vacillation on ratification was predominantly due to political bargaining with the EU. Domestic economic rationales [i.e. impacts of emission trading and Joint Implementation (JI) projects] were important to a much lesser extent and environmental motives did not seem to play any role in the decision. Since the Protocol entered into force, there have been significant delays in complete establishment of policy implementation frameworks, which are necessary for Russia to start benefiting from JI and emission trading. Only recently, in 2007, have GHG inventories and a national registry been established and the responsibilities for implementation of the Protocol and JI among the government departments have been distributed only to a certain extent. Some constraints hindering JI projects, such as vague legislation, an unfavourable economic climate, lack of commitment to JI projects, corruption, xenophobia, state and agency ‘capture’ still remain.      

Goodness‐of‐fit methods for matched case‐control studies

The authors propose graphical and numerical methods for checking the adequacy of the logistic regression model for matched case‐control data. Their approach is based on the cumulative sum of residuals over the covariate or linear predictor. Under the assumed model, the cumulative residual process converges weakly to a centered Gaussian limit whose distribution can be approximated via computer simulation. The observed cumulative residual pattern can then be compared both visually and analytically to a certain number of simulated realizations of the approximate limiting process under the null hypothesis. The proposed techniques allow one to check the functional form of each covariate, the logistic link function as well as the overall model adequacy. The authors assess the performance of the proposed methods through simulation studies and illustrate them using data from a cardiovascular study.     

An experimental investigation of the impact of ambiguity on the valuationof self-insurance and self-protection

We build two experimental markets to examine individual valuations of risk reductions with two risk-management tools: self-insurance and self-protection. We find no positive evidence that the risk-reducing mechanisms constitute a “frame.” Ambiguity in the probability on average affects valuation only weakly, and changes in the representation of ambiguity do not alter valuation. Finally, unlike the results obtained by Hogarth and Kunreuther for the case of market insurance, our findings do not provide a strong support for the “Anchoring and Adjustment” ambiguity model.     

Individual irrationality and social welfare

Individual preferences inconsistent with personal welfare caused neither by ignorance nor by a positive consideration for the welfare of others are defined as (welfare) irrational. Sources of irrationality (rigid adherence to moral principles, excessive fear of danger, excessive tempetation of pleasure, revenge, inertia, faulty telescopic faculty, the fallacy of diminishing marginal utility of utility, etc.) are discussed. An evolutionary explanation of irrationality is suggested and some implications for individual decision and social policy indicated.I am grateful to two anonymous referees for comments.     

Cohort shifts in the timing of births in Ghana

A comparison of cohorts of ever-married Chanaian women suggests evidence of a fertility transition beginning among younger women and select subgroups. Ghana's crude birth rate declined from a high of 50/1000 population in 1970 to 38.8/1000 in 1985. To ascertain whether marital fertility is now being controlled through conscious attempts to lengthen birth intervals, World Fertility Survey data from 1979-80 on the timing of births among different birth cohorts were analyzed. It was hypothesized that, as a result of the influence of Western values that stress independence from parents and the introduction of compulsory education, cohorts of the mid-1950s and 1960s would be more likely to postpone childbearing, more active in the modern sector of the economy, and more accepting of modern contraceptive usage for birth spacing than women in the 1930-39, 1940-49, and 1950-59 cohorts. For the 1940-49 cohort, it took 10.8 months for 25% to have a birth following 1st marriage, 18.7 months for 50% to have a 1st birth, and 27.4 months for 75% to complete this step. By comparison, these figures for the 1955-64 birth cohort were 9.9, 16.7, and 20.5 months, respectively. The significantly shorter (p 0.01) interval between marriage and 1st birth found among younger women in part reflects rising age at marriage; mean age at 1st marriage was 17.9 years for the 1940 cohort and 21.6 years for the most recent cohort. After the birth of the 1st child, recent cohorts were more likely to wait longer for the 2nd birth. For women born in 1950-64, it took 21.8, 36.7, and 44.6 months for 25%, 50%, and 75%, respectively, to reach parity 2. This pattern of lengthened birth interval beyond the 1st birth was apparent at all parities in the youngest cohort and indicates increasing acceptance of contraception among those who have come of age during a period of rapid social change.     

Family roles and female mortality differentials across cultures: an inquiry of cultural adaptation in industrialization

The relationship between family support systems and female mortality in Chinese and American cultures is studied using 1980 official data from Taiwan and the United States. The differences in female mortality by marital status support the hypotheses that Chinese families provide greater support for older than younger females, and that the emphasis on filial piety in Chinese society provides more support for the elderly by Chinese than American children.     

An analytical paradigm for the analysis of national inmigration patterns

This study proposes and demonstrates an analytic paradigm based upon a substantive categorization of a set of inmigration correlates. It exemplifies the notion of categorizing, analyzing according to the categorization, and subsequently discussing the phenomenon in more depth. The paradigm has 2 steps: 1) the variables are categorized according to the cells resulting from the intersection of a preferably small number of nominal dimensions and 2) the data are analyzed, directly anchored in the prior categorization. The data used is Israel's 1983 census macro-data gathered from the Central Bureau of Statistics for the Israeli towns with populations of at least 5000. The authors defined 6 variables as push variables and 4 as pull variables. Results of the regression employing push variables show that 4 variables accounting for 72% of inmigration were found to significantly predict inmigration: 1) unemployment, 2) percentage of Asians-Africans, 3) town size, and 4) religiosity. Within the pull classification, the regression analysis reveals that 2 of the 4 variables explain 31% of the inmigration variance: 1) educational level (26%) and 2) income (5%). The 1st regression analysis on the 2nd dimension shows that the percentage of Asian-African origin and town population size account for 32% of the immigration variance. In the 2nd regression analysis, unemployment explains 48% of the inmigration variance and educational level explains 8%. In the 3rd regression, only home crowding explains a significant amount of the immigration variance (19%). Results of a multiple regression analysis show that unemployment level, percentage of Asian-Africans, population size, and level of religiosity account for 72% of the inmigration variance. Thus, the characteristics of a town inmigrating (push variables) are demographic, economic, and social. However, the attractive features of a town are only economic. Among all economic factors, unemployment is primary. In addition, not only are both percentage of Asians-Africans and population size significantly deflective of inmigration, but each also plays a separate and independent role.