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The aim of this study was to identify the attitudes of the public in the United States and in 12 European countries towards foreign policy issues and transatlantic issues. The survey concentrated on issues such as: United States and European Union (EU) leadership and relations, favorability towards certain countries, institutions and people, security, cooperation and the perception of threat including issues of concern with Afghanistan, Iran, and Russia, energy dependence, economic downturn, and global warming, Turkey and Turkish accession to the EU, promotion of democracy in other countries, and the importance of economic versus military power. Several questions asked of respondents pertained to voting and politics including whether they discussed political matters with friends and whether they attempted to persuade others close to them to share their views on politics which they held strong opinions about, vote intention, their assessment of the current United States President and upcoming presidential election, political party attachment, and left-right political self-placement. Demographic and other background information includes age, gender, race, ethnicity, religious affiliation and participation, age when stopped full-time education and stage at which full-time education completed, occupation, number of people aged 18 years and older living in the household, type of locality, region of residence, prior travel to the United States or Europe, and language of interview. computer-assisted personal interview (CAPI); computer-assisted telephone interview (CATI); paper and pencil interview (PAPI)The original data collection was carried out by TNS, Fait et Opinion -- Brussels on request of the German Marshall Fund of the United States.The codebook and setup files for this collection contain characters with diacritical marks used in many European languages.A split ballot was used for one or more questions in this survey. The variable SPLIT defines the separate groups.For data collection, the computer-assisted face-to-face interview was used in Poland, the paper and pencil interview was used in Bulgaria, Romania, Slovakia and Turkey, and the computer-assisted telephone interview was used in all other countries.Additional information on the Transatlantic Trends Survey is provided on the Transatlantic Trends Web site. (1) Multistage random sampling was implemented in the countries using face-to-face interviewing. Sampling points were selected according to region, and then random routes were conducted within these sampling points. Four callbacks were used for each address. The birthday rule was used to randomly select respondents within a household. (2) Random Digit Dialing was implemented in the countries using telephone interviewing. Eight callbacks were used for each telephone number. The birthday rule was used to randomly select respondents within a household. The adult population aged 18 years and over in 13 countries: Bulgaria, France, Germany, Italy, the Netherlands, Poland, Portugal, Romania, Slovakia, Spain, Turkey, the United Kingdom, and the United States. Smallest Geographic Unit: country Response Rates: The total response rate for all countries surveyed is 23 percent. Please refer to the "Technical Note" in the ICPSR codebook for additional information about response rate. Please refer to the "Technical Note" in the ICPSR codebook for further information about weighting. Datasets: DS1: Transatlantic Trends Survey, 2008

The country’s unique philosophy is expressed by Bhutan’s Gross National Happiness (GNH) as the guiding principle of development. Bhutan is at a crossroads: It can maintain the current pattern of development—with rising inequality—or develop a vibrant private sector to generate jobs and diversify the economy, building resilience to future external shocks. The overarching priority of this Country Partnership Framework (CPF) is job creation. This CPF presents an integrated framework of WBG support to help Bhutan achieve inclusive and sustainable development through private sector–led job creation.

We analyze past and anticipated future trends in crop yields, per capita consumption, and population to estimate agricultural land requirements globally by 2050 and 2100. Assuming “business as usual,” higher-income countries are expected to show little or no net growth in cropland by the end of the century, even in the face of moderate climate change. In contrast, in lower-income countries, we project that land requirements will grow dramatically, and climate change will likely double this expansion. Although economic growth is often considered to work in opposition to conservation, accelerating economic development in lower-income countries, which would help alleviate poverty and increase standards of living, would also greatly reduce potential cropland expansion in lower-income countries, even with climate change, owing to slower population growth and improved crop yields that more than offset increased per capita consumption. Combining economic development in low-income countries with reduced consumption in high-income countries could dramatically shrink global cropland requirements by the year 2100 even with moderate climate change. Such a remarkable reduction in cropland area would have enormous benefits for both biodiversity and global climate change.  All of the data files are analyzed using R.

Study PopulationThe target population of the study were women aged 18 years to 69 years from households in Mwea East sub County that have experienced climate change events. As shown in table 3.1 below, the total population of female in Mwea East sub County in this age category was estimated at 38,734 (Kenya National Bureau of Statistics (KNBS)Volume III, table 2.5, (2019).Sample SizeA sample size of 449 respondents was determined as adequate for statistical analysis for the study using an online sample size calculator (calculator.net, 2021). 95% confidence level and 4.6% margin of error was used to calculate the sample size of 449 respondents determining the level of accuracy of the sample from the total estimated population of 38,734 women aged 18-69 years in Mwea East sub County.Data CollectionThe administration of the questionnaire was done by the Principal Investigator (PI) along with the KIIs, which were conducted after the questionnaire had been administered. The questionnaires were administered by 11 data collection assistants who were trained by the researcher. One of the 11 data collectors was the team leader. The researcher collected data in 5 of the households to demonstrate and practice the data collection process. Data AnalysisQuantitative and qualitative data were analyzed and triangulated to validate the findings. The quantitative data was analyzed using a combination of the IBM SPSS techniques including frequencies, cross-tabulations, bivariate statistics, means, correlations and descriptive ratio statistics. Qualitative data from both respondents and key informants’ interviews were documented using filed notes and thematically analyzed. The analysis from both sets of data was then merged to present the results. Study PopulationThe target population of the study were women aged 18 years to 69 years from households in Mwea East sub County that have experienced climate change events. As shown in table 3.1 below, the total population of female in Mwea East sub County in this age category was estimated at 38,734 (Kenya National Bureau of Statistics (KNBS)Volume III, table 2.5, (2019).Sample SizeA sample size of 449 respondents was determined as adequate for statistical analysis for the study using an online sample size calculator (calculator.net, 2021). 95% confidence level and 4.6% margin of error was used to calculate the sample size of 449 respondents determining the level of accuracy of the sample from the total estimated population of 38,734 women aged 18-69 years in Mwea East sub County.Data CollectionThe administration of the questionnaire was done by the Principal Investigator (PI) along with the KIIs, which were conducted after the questionnaire had been administered. The questionnaires were administered by 11 data collection assistants who were trained by the researcher. One of the 11 data collectors was the team leader. The researcher collected data in 5 of the households to demonstrate and practice the data collection process. Data AnalysisQuantitative and qualitative data were analyzed and triangulated to validate the findings. The quantitative data was analyzed using a combination of the IBM SPSS techniques including frequencies, cross-tabulations, bivariate statistics, means, correlations and descriptive ratio statistics. Qualitative data from both respondents and key informants’ interviews were documented using filed notes and thematically analyzed. The analysis from both sets of data was then merged to present the results.

This dataset contains the underlying data for the following publication: Li, R., Perdana, S., Vielle, M. (2021), Potential integration of Chinese and European emissions trading market: welfare distribution analysis, Mitigation and Adaptation Strategies for Global Change, 26:22 https://doi.org/10.1007/s11027-021-09960-7.

How do rising temperatures affect long-term labor reallocation in developing economies? In this paper, we examine how increases in temperature impact structural transformation and urbanization within Indian districts between 1951 and 2011. We find that rising temperatures are associated with lower shares of workers in non-agriculture, with effects intensifying over a longer time frame. Supporting evidence suggests that local demand effects play an important role: declining agricultural productivity under higher temperatures reduces the demand for non-agricultural goods and services, which subsequently lowers non-agricultural labor demand. Our results illustrate that rising temperatures limit sectoral and rural-urban mobility for isolated households. Districts in India .

The objective of this presentation is to promote the development of a book to help development agents in developing (and developed) countries to better understand what is involved in the management of complex adaptive systems. The problem relates to linked rural poverty and environmental sustainability, though this can be solved through adaptive management for small holder innovation by providing development agents with knowledge and understanding to assist small holder innovation for adaptive management of complex adaptive systems (CAS). The objective is to encourage policy makers and donors to support local innovation and adaptive management. ME (Management Entity)

Because women share much of the burden of agricultural production, it is critical to examine the impact that agricultural innovations will have on the distribution of labor between genders. Conservation agriculture has been identified as an innovation to improve agricultural production in the Mid-hills of Nepal by reducing erosion and increasing soil organic matter. This paper identifies the gendered distribution of agricultural labor in three Chepang tribal villages of central Nepal, in order to estimate the changes in labor required by conservation agriculture interventions, and assess the implications of labor shifts with respect to the potential for adoption of conservation agriculture practices. Three tribal villages in Chepang were surveyed, with the male and female heads for each household questioned separately to assess the labor hours from each gender for cropping activities under conventional and conservation agricultural systems. Field experiments were also conducted to determine labor hours necessary for the adoption of conservation agriculture practices. Conservation agriculture was found to increase women’s share of agricultural labor, with a greater increase for intercropping with conventional tillage than for intercropping and minimal tillage. LTRA-11 (CAPS among tribal societies in India and Nepal)

Achieving reductions in global anthropogenic emissions necessary to mitigate the worst effects of climate change will require significant reductions in energy demand. However, there are concerns that energy demand reductions involving lifestyle and behavioural changes might negatively impact peoples’ wellbeing. The work in this thesis studies the impacts of how people spend their time – commonly known as time-use – to try to understand whether this is the true, or whether energy demand could be reduced while improving wellbeing. Using the UK as a case study, this issue is examined by determining the energy use and wellbeing attributes of different activities and lifestyles, by modelling the impacts of shifts in time-use between activities, and by comparing the importance of three specific changes that might impact future energy use and wellbeing. Firstly, based upon existing literature it is identified that there is a need to better understand the combined energy and wellbeing impacts of different activities and lifestyles. Combining UK time-use and energy consumption data, the energy intensity, enjoyment and sociability of time is studied. Comparing these metrics for different activities suggests that since the most enjoyable (and in some cases sociable) activities are generally the least energy-intensive, acceptable (or popular) lifestyle changes might exist that reduce national energy use and improve wellbeing. However, studying changes between 2000 and 2015 shows that while the population’s time became less energy-intensive, there was little change in average enjoyment and a reduction in sociability. Segmenting the population by age reveals that an ageing population could present a challenge since energy use broadly increases with age-group while social contact reduces. However, comparing occupations highlights opportunities for specific actions that could improve wellbeing and reduce energy use, while regional differences suggest that wellbeing might be improved without increasing energy use. Having determined the energy intensity and wellbeing associated with different uses of time, the impacts of possible time-use changes are then studied. Acknowledging the difficulty in trying to predict how people might choose to re-allocate time in different situations, a sensitivity-based approach is used to study the impacts of a wide range of possible shifts in time between activities. The approach is then applied to explore the impacts of extreme lifestyle changes associated with COVID-19 lockdown measures in the UK and validated against real-world observations during the pandemic. While activity changes associated with lockdown measures reduce energy use, there are varying implications for peoples’ wellbeing, with the youngest appearing to be most negatively impacted but those able to work from home potentially benefiting. Although lockdown measures prevented some of the most enjoyable and sociable activities from happening, alternative activity changes could be supported in future that reduce energy use while improving wellbeing. Finally, time is used as a basis to compare the importance of different types of changes and help to prioritise actions. This is demonstrated by studying the combined impacts of three example changes – greater home working, changes in commuting transport modes and car intensity – on office workers’ energy use and wellbeing. The results show that working from home could have a greater impact upon office workers’ average energy use and enjoyment than changes to commuting modes, but that the social contact provided by the office could be difficult to replace. The study also demonstrates different ways that energy savings might be achieved through home working, shifts in commuting modes and changes to vehicle intensity. This approach could be used more widely to compare a broader range of changes, understand their interactions and different ways to achieve outcomes, and help to identify those changes that are most important to reduce energy use and improve wellbeing. The work presented in this thesis shows that time-use can be used as a basis to examine energy demand and wellbeing together. Using time-use to link these issues enables trade-offs or co-benefits due to different uses of time to be determined and allows rebound effects to be considered. The results suggest that reducing energy use can be achieved at the same time as improving wellbeing. The hope is that the approaches and findings presented in this thesis can provide a basis for wider discussion and a platform for future work to support climate change mitigation strategies that are positive for both the environment and society.