Climate change is an inevitable global challenge of the 21st century. For developing countries like Ethiopia, it intensifies existing challenges towards ensuring sustainable development. Adopting the protection motivation theory, this study examined factors affecting the practice of climate change adaptation and mitigation strategies among farmers. The study employed a mixed research approach to assess the subjective understanding of farmers about climate change threats and identify factors determining their responses to climate change effects. Qualitative data were collected using focus group discussions and interviews. Quantitative information was gathered using semi-structured survey from 296 randomly selected farmers. Qualitative data was dominantly analysed using content analysis, while descriptive and inferential statistics were applied to analyse quantitative data. Almost all respondents (97%) perceived that climate change was occurring and threatening their wellbeing. Dwindling precipitation, increasing temperature and occurrence of human and animal disease were perceived to represent climate change effects. From nationally initiated strategies, farmers were found to largely practice soil and water conservation, which they perceived as less costly and compatible to local knowledge. The result of binary logistic regression revealed that perceived severity of climate change, perceived susceptibility to climate change threat, perceived own ability to respond, response efficacy, and cost of practices predicted farmers’ motivation to practice climate change adaptation and mitigation strategies. Thus, building a resilient system should go beyond sensitizing climate response mechanisms. Policies should focus on human capital development and economic empowerment which would enable farmers to pursue context-specific adaptation and mitigation strategies, thereby maintaining a sustainable livelihood.

The purpose of this paper is to demonstrate the performance of agricultural sectors in the Association of Southeast Asian Nations (ASEAN) countries using selected criteria, to identify the deficiencies in agricultural policies, to explore competitive advantages and to guide food and nutrition policies. The analyses of this research use the secondary of time series data between the years 1967‒ 2016 from 10 countries including; Brunei Darussalam, Cambodia, Indonesia, Laos PDR, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam which are the member of ASEAN. This research uses the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and the data used for the mentioned countries include the following criteria; total agricultural production value of the land, self-sufficiency of animal products criteria, self-sufficiency of crop products criteria, rural population rate, greenhouse gas emissions from agriculture, and value of foreign trade in agricultural products. The result of proximity coefficients calculated with the TOPSIS method, which according to the number of proximity and maximum benefit analysis should be done according to the order of preference. It is stated that Thailand, Philippines and Indonesia were the most successful countries in the agricultural policy performance in 1967. As for last decades, Malaysia became the most successful country in agricultural policy performance. We can infer from the results that Malay industrial sector triggered the agricultural sector by supplying financial investment atmosphere.

Production economics forms a very important part of an enormous range of economic theory. Agricultural production is no exception. When evaluating the competitiveness of the multifunctional agriculture, it is necessary to use the measure of efficiency instead of productivity. The conception of the efficiency is explained and the methods for measurement are provided. The authors discuss the methods of Stochastic Frontier Approach (SFA), Free Disposal Hull (FDH) and Data Envelopment Analysis (DEA) that are particularly useful for multi-criterial evaluation of multifunctional processes. Those methods assign an efficiency score to each Decision Making Unit (DMU) based on how well it transforms a given set of inputs into outputs. Most studies have only focused on application of DEA method for assessment of the efficiency of agriculture farms. There is still a need on applications for sectors. This paper provides an examination of the applicability of DEA method to agriculture sectors efficiency measurement. By applying mathematical models, which are based on the DEA, the efficiency of agriculture in each EU country was evaluated.

In rural Kazakhstan, the credit and insurance services are limited and the state support is weak. The main goal of this study is to contribute to the literature on financial literacy in emerging economies, namely, the effect of financial literacy on saving rates of rural population. Being well educated not always means to be financial literate and make efficient decisions regarding one’s own finance. People with a lower formal education level but with better experience in consuming financial products could be better prepared for making financial decisions including those related to savings. In this paper other socio-economic determinants of saving rates were taken into account, such as an income level, family size and an employment status. This research was carried out in Pavlodar region of Kazakhstan, and the data collection took place in spring 2014. In total, 405 households were surveyed. Results of the analysis show that if a respondent gives at least one correct answer, it positively affects the saving rates as well as one can observe that the higher the financial literacy level, the higher are the saving rates. Availability of state supported financial education programs for rural people will significantly contribute to the financial literacy improvement.

The decreasing number of the Lithuanian residents has strong impact on the educational system: the number of pupils is decreasing, the schools are getting closed. School is considered to be the provider of educational services, so it is necessary to search, how to preserve and attract clients – pupils. The growing competition induces search for distinctiveness among the schools. According to the theory of generations of William Strauss and Neil Howe, now we have to educate representatives of generation Z, who do not like violence, restrictions, want to be distinctive and are open to the world of technologies. The teacher faces the challenge when s/he wants to convey mathematical skills to these pupils. The profile teaching followed by training based on individual curricula provided more choices for the pupils. This freedom led to the dead-end of mathematical literacy and forced to return to a compulsory national final exam of Mathematics and to change the indexes for the persons entering studies of the first cycle and integrated studies. In the article, mathematics achievements and situation in schools in Lithuania as well as the measures taken to improve mathematical literacy in the country are described.

A series of initiatives have been adopted in the European Union to address greenhouse gas emissions and establish a society that is resilient to climate change. In response to these initiatives, the implementation of mobility budgets offers a more precise strategy for addressing carbon footprints associated with travel. Prioritizing localized carbon footprint control, mobility budgets are calculated and customized according to distinct regions, goals, and target demographics. When prioritizing the mobility budget as the central objective in municipal transport route planning, the focus should encompass principles of fairness and equity in travel. This entails considering factors such as accessibility, variety of mobility choices, inclusivity of transportation modes, and social justice. Therefore, this article aims to formulate an enhanced activity modelling methodology that would aid data-driven decision-making in municipal transport route planning, while upholding the principles of travel fairness and equity. Тhe results obtained from scrutinizing data related to public bus services and mobile networks are presented. The evaluation of Jelgava’s city transportation network to facilitate mobility budget reduction is undertaken, and this assessment is based on an analysis of data derived from a survey on public transport use coupled with an examination of the city’s mobility budget. The research presents the communication challenges that municipalities will face in planning and implementing changes that are needed to meet the greenhouse gas emission targets and outlines the possible use of visualization tools for modelling, explanation and communication of scenarios.

The biceps brachii - brachialis muscles has attachment on the medial coronoid process (MCP) and proximal radius. It is considered that medial coronoid disease (MCD) can be caused by biceps brachii – brachialis muscle generated force to MCP. Computed tomography data from 31 dogs were analysed. The aim of this study was to compare biceps brachii – brachialis muscle volume and maximum cross-sectional area (mCSA) between clinically normal dogs to dogs with a MCD. Results showed that in dogs with MCD, biceps brachii - brachialis muscle volume and mCSA is smaller than in clinically normal dogs and therefore the generated muscle force cannot be considered as the main or accompanying cause of a MCD.

Climate risks constitute an enormous challenge to poultry production and have affected the livelihoods of the people who depend on them. Thus, farmers have adopted various strategies that can help them cope with the adverse effects of climate change. The aim of this study is to examine the factors influencing small scale poultry farmers’ choice of adaptation strategies to climate change. Data used for this study were obtained from 121 representative farmers selected through a two-stage random sampling procedure. Descriptive Statistics, Likert Scale and the Multinomial Logit Model were the tools used for analysis. Results showed that the mean age and household size of the respondents were 45 years and 5 persons respectively, while the average number of birds per farmer stood at 583 birds. Majority of the respondents had a moderate perception of the impacts of climate change on poultry farming and chose management adaptation strategies in their fight against climate change. Econometric analysis showed that the age, gender and educational status of farmers, number of birds, household size, poultry experience, access to cooperative societies, poultry housing system, access to credit, access to extension services and farm size were the factors influencing farmers’ choice of climate change adaptation strategies in the study area. Therefore, policy should focus on awareness creation on management adaptation strategies through enhancing education and extension services as well as access of poultry farmers to credit facilities to indirectly insure farmers against climate change impacts.

Human capital development is increasingly gaining policy relevance especially with the implementation of the Sustainable Development Goals (SDGs). This study examined the correlates of human capital expenditure in rural Nigeria. General Household Survey dataset collected by the National Bureau of Statistics was used for this study. Descriptive statistical tools, principal components analysis and the Heckman selection model were used to analyse relevant data. The study found majority of the households were maleheaded, with an average size of 7 people. In terms of access to education, 62.1% of the surveyed households had access to education and spent an average of NGN 12,570.56 on education. The age of household head, access to loans, marital status and household size were the correlates of human capital expenditure in rural Nigeria. Also, school fees and registration accounted for 41.2% of households’ expenditure on education. The study found paucity of funds, low priority placed on education and low interest were the main constraints to human capital expenditure. The study recommended the design and implementation of pro-poor educational interventions especially for children from rural households. Also, there is the need for government, multilateral organisations and financial institutions to position rural households for financial inclusion.

This study examined the livelihood strategies and food security situation of rural households around Derba Cement Factory by taking a randomly selected sample of 215 heads of farm households from three rural kebeles. A mixed research approach was employed to triangulate concurrently collected data through household survey, key informant interviews and focus group discussions. Informed by the sustainable rural livelihood framework, descriptive statistics were used to describe rural households’ livelihood strategies and challenges they faced while inferential statistics was employed to explain households’ food security situations with different livelihood combinations. While mixed farming was found to be the mainstay of the household economy, small-scale irrigation and extracting forest products were also used as supplementary economic activities. More than a half of the respondents (52.5%) reported at least one non-farm activity. Land shortage was identified as a major constraint to expand crop production and this was further aggravated by the activities (e.g. querying leading to displacement) of the Derba Cement Factory. This further affected household labour allocation and natural resources utilization. The result of household food (in) security access scale indicated that 59% of the respondents have experienced food access insecurity in 2016. However, respondents who combined agriculture and non-farm activities appeared relatively more food secure than those engaged in agriculture alone or in non-farm activity only. Overall, households with multiple livelihood strategies had diverse food entitlements to maintain sustainable food consumption. Yet, necessity induced diversification was found to affect food access security of households. This calls for inclusive policies and strategies that integrate rural non-farm activities to subsistence farming in order to assure sustainable livelihood in rural communities.