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The purpose of this study is to first examine the factors affecting the intra-household perception of climate change. Second, the study investigates the impact of the perception of climatic stress on the operators’ and spouses’ intra-household adaptation strategies (farm and household financial strategies).

The study uses household survey data from Vietnam’s Mekong Delta. The study uses probit and negative binomial count data approaches to evaluate the empirical model.

Results confirm the existence of intra-household gender differences in the adaptation strategies. The authors found that although spouses perceive climatic stress, they are less likely to adapt to such stresses when it comes farming enterprise, but more likely to adapt to household financial strategies. In contrast, farm operators, in the presence of climatic stresses, undertake both farm and household finance adaptation strategies.

Investment in climate smart agriculture can help households in managing climatic stresses.

A farmer in Asia, and Vietnam in particular, faces significant risks from climatic changes. In Vietnam, agriculture is easily affected by natural disasters and climatic changes. This study provides insights into the perception of climatic changes by operators and spouses in Vietnam’s Mekong Delta. Perceived changes in the climate have a greater impact on women because they typically lack the necessary tools to adapt to climate change. The current findings could be useful in managing climatic risk in Vietnam’s Mekong Delta and be helpful to policymakers in designing risk management strategies in response to climatic changes.

The purpose of this paper is to examine the direct and indirect impacts of climatic changes as well as the effects of non-climatic factors on household food security in Malaysia.

The study is based on primary data collected in the months of July – October, 2012 through a questionnaire survey on 460 low-income households from East Coast Economic Region (ECER) of the country. The samples were selected from E-Kasih poor household database, based on cluster random sampling technique. The statistical estimation was done through two-stage formative path measurement model by using non-parametric bootstrap procedure under Smart PLS.

This study finds that household food insecurity ECER – Malaysia is not only related to social and economic factors, but also statistically significantly linked to the direct and indirect impacts of climatic factors. The policy implications of the study suggest that design of food security programs must be integrated with climatic change adaptation programs.

The government and other relevant agencies should jointly develop appropriate policies for poverty alleviation, household-level food security, and adaptation with climatic changes in Malaysia.

Purpose – The chapter explores the gender dimensions of climatic impacts in urban areas and draws lessons for cities in Africa.

Methodology – The data presented was generated through focus group discussions with female and male residents of Kasubi-Kawaala neighborhood in Kampala city as well as extensive review of relevant literature.

Findings – Climatic impacts in Kasubi-Kawaala and Kampala city at large, mainly include prolonged dry spells, erratic heavy rains, and seasonal floods, which destroy physical infrastructure, expose households to environmental health hazards, contaminate air and water sources, and lead to unprecedented spread of cholera and malaria. These climatic impacts on one hand do worsen gender inequalities across different urban sectors, while on the other such gender inequalities contribute to the intensity of climatic impacts. These are the gender dimensions of climatic impacts in urban areas that require deep examination while planning to adapt or reduce emissions.

Research limitation – The methods used to collect data were qualitative in nature and therefore no statistical data was obtained on gender inequalities and climatic impacts. But the review of different literature did enable the study gain relevant descriptive statistics on the effects of climatic change in Kampala city.

Value of the chapter – There have been studies on gender and climate change in Africa, but many of these have focused on rural settings and women in particular. This chapter provides a relational understanding on women's interface relative to men's interface with climatic impacts in Kampala with the aim of drawing lessons that can be applied to local circumstances in different African cities.

While climatic conditions are believed to have some influence on triggering conflicts, the existing empirical results on the nature and statistical significance of their explanatory role are not conclusive. We construct a dataset for a sample of 139 countries which records the occurrence of an armed conflict, the annual average temperature and precipitation levels, as well as the relevant socioeconomic, demographic, and geographic measures over the 1961–2011 period. Using this dataset and controlling for the effect of relevant nonclimate variables, our comprehensive econometric analyses support the influencing role of climatic factors. Our results are robust and consistent with the hypothesis that climate warming is instrumental in raising the probability of onset of internal armed conflicts and suggests that, along with regulating population size and promoting political stability, controlling climate change is an effective factor for inducing peace by way of curtailing the onset of armed conflicts.

Sustainable food security at the household level is one of the emerging issues for all nations. Several factors such as social, economic, political, demographic, natural and livelihood strategies cause vulnerability in the status of household food security. This study aims to examine the vulnerability of the factors of household food accessibility and its linkage with the climatic changes in Malaysia.

The study is based on primary data collected in the months of July-October, 2012, through a questionnaire survey on 460 low-income households from the East Coast Economic Region (ECER) in Malaysia. The samples were selected from E-Kasih poor household database, based on the cluster random sampling technique. The questionnaire uses a five-point Likert scale, and the data were analyzed using descriptive statistics and ANOVA F statistics for chi-square two-sample test.

The study finds that the vulnerability of the factors of household food accessibility has increased statistically and significantly over the past five years in Malaysia, whereas the contributions of climatic factors are low on these changes. This study suggests that the food security programs in Malaysia need to be integrated with the climatic change adaptation programs to ensure more effective and sustainable household food security in the future.

This study is an original work based on primary data that empirically measures the vulnerability of the factors of household food accessibility, one of the important dimensions of household food security, and its linkage with climatic changes.

Lower Indus Basin (LIB) region is the food basket of Pakistan, and climatic variation in response to global warming might severely affect the crop production and, thus, food security and ultimately to the economy of the country.

The authors analyzed the previous climatic factors data series of LIB region to investigate the past and present climatic trends and to predict the future changes. Climatic changes were monitored by studying temperature, rainfall and relative humidity (RH) dynamics at two locations (Lahore and Multan) of the LIB region, Pakistan, by using data from 1953 to 2006. The data were divided into two equal halves (1953-1979 and 1980-2006) and statistically compared for the aforementioned weather parameters.

The results suggested that mean minimum temperature (MMT) and overall mean temperature in winter were significantly increased, whereas few summer months had also experienced the reduction in both temperatures. However, few minor changes were also observed for the mean maximum temperature at both locations. The rainfall amount did not vary significantly at both locations, with the exception for the months of February and June at Lahore location, which experienced relatively higher rainfall in latter period (1980-2006). However, morning and evening RH was significantly increased at Multan throughout the year and for some selected months (February-March and May-July) at Lahore. However, the comparison of climatic data of both temporal halves suggested either dryer weather during winter months because of increase in MMT and/or increase in area under irrigated agriculture, resulting in more evaporation at both locations. Similarly, the data also indicated the early monsoon rainfall patterns in summer and late western depression rainfall spell during winter, which played key role to affect the crop yield because of irregular rain events.

The current manuscript would be very useful for the disaster management authorities and agriculture sector to predict the future irregular trends of climate change in Pakistan. Moreover, current findings can be important tool toward the management of climatic changes issues (i.e. floods and dryer spells) and to formulate the future strategies for the improved crop growth in arid and/or semi-arid developing nations such as Pakistan.

The current manuscript, for the very first time, provided detailed insights into key climatic factors changes for past seven decades, into the severely climate change-affected areas of the world. Furthermore, agricultural sector is likely to be severely affected because of minor seasonal change in temperature and moisture, and have a strong food security impact, which can be reflected with current data set to cope with both ecological and economic impacts of climate change in Pakistan. The current findings would be useful to manage the climate change-related issues in Pakistan, including the social, environmental and economic.

Changes in climate may have both beneficial and harmful effects on crop yields. However, the effects will be more in countries whose economy depends on agriculture. This study aims to measure the economic impacts of climate change on crop farming in Bangladesh.

A Ricardian model was used to estimate the relationship between net crop income and climate variables. Historical climate data and farm household level data from all climatic zones of Bangladesh were collected for this purpose. A regression model was then developed of net crop income per hectare against long-term climate, household and farm variables. Marginal impacts of climate change and potential future impacts of projected climate scenarios on net crop incomes were also estimated.

The results revealed that net crop income in Bangladesh is sensitive to climate, particularly to seasonal temperature. A positive effect of temperature rise on net crop income was observed for the farms located in the areas having sufficient irrigation facilities. Estimated marginal impact suggests that 1 mm/month increase in rainfall and 10°C increase in temperature will lead to about US$4-15 increase in net crop income per hectare in Bangladesh. However, there will be significant seasonal and spatial variations in the impacts. The assessment of future impacts under climate change scenarios projected by Global Circulation Models indicated an increase in net crop income from US$25-84 per hectare in the country.

The findings of this study indicate the need for development practitioners and policy planners to consider both the beneficial and harmful effects of climate change across different climatic zones while designing and implementing the adaptation policies in the country.

Literature survey of the Web of Science, Science Direct and Google Scholar indicates that this study is the first attempt to measure the economic impacts of climate change on overall crop farming sector in Bangladesh using an econometric model.

This paper aims to evaluate the effects of climate variables on the mean yield and yield variability of major pulse crops in the Telangana state of India.

Authors have estimated the Just and Pope (1978, 1979) production function using panel data at the district level of four major pulses in nine former districts of Telangana for 36 years during 1980–2015. A three-stage feasible generalized least squares estimation procedure has been followed. The mean yield and yield variance functions have been estimated individually for each of these study crops, namely, Bengal gram, green gram, red gram and horse gram.

Results have shown that changes in climatic factors such as rainfall and temperature have significant influences on the mean yield levels and yield variance of pulses. The maximum temperature is observed to have a significant adverse impact on the mean yield of a majority of pulses, and it is also a risk-enhancing factor for a majority of pulses except horse gram. However, the minimum temperature is positively related to the mean yields of the study crops except for Bengal gram, and it is having a risk-reducing impact for a majority of study crops. Rainfall is observed to have a negative impact on the mean yields of all pulses, but it is a risk-enhancing factor for only one crop, i.e. Bengal gram. Thus, rising temperatures and excess rainfall are not favorable to the productivity of pulses in study districts.

The present study is based on the secondary data at the district level and is considering only one state. Season-wise primary data, including farm-specific characteristics, could have been better. The projected climate change and its impact on the mean yields and yield variance of pulses need to be considered in a future study.

According to the best of our knowledge, this is the first study to empirically evaluate the impact of climatic variables on the mean yields and yield variability of major pulses in Telangana using a panel data for major pulses and nine districts of 36 years time-series during 1980–2015. The study has given useful policy recommendations.

This paper explores the indigenous climate knowledge (ICK) of the Gwadar fishing community in Pakistan. The main purpose of this paper is to explore the accuracy of ICK and how climatic change brings changes to it and the social lives of local fishers.

Qualitative research methods, including participant observation, in-depth interviews and oral histories, were used to collect the data.

Finding from this long fieldwork shows that this fishing community has a harmonious relationship with nature and local ecology. Their knowledge of local ecology enables them to have equal access to natural resources, sustainable resource management, disaster risk reduction and strong social organization on the coast of Gwadar. Recently their deep relationship with local ecology and sociocultural organization has been disturbed due to huge climate changes caused by human manipulation of the environment. Their ability to foresee climatic events has been reduced. They are finding it impossible to estimate fish availability due to massive climate changes. Local communities are losing their traditional livelihoods and socioeconomic autonomy as a result of growing climate change. Climatic change adds to the existing poverty situation and increases political instability in the region.

The study suggests using the fishermen’s valuable indigenous knowledge of local ecology, climate and its ties to local traditions, culture and resource management for a scientific understanding of climate change and marine resource management in Gwadar, Pakistan.

This is an ethnographic study based on a long term field work. Fishing community is passing through catastrophic climatic changes in the region. This community has been ignored by both government and researchers to record their problems and bring them to academia and media. Therefore, this study will help them raise their voices.

This study aims to examine peoples’ perception of climate change. It assessed their attitude, behavioural motivation for mitigating and adapting to climate change in the two capital cities of South Asia: Islamabad in Pakistan and Dhaka in Bangladesh.

This study used the quantitative research technique based on responses of 800 close-ended questions embedded in a close-ended questionnaire, which were filled-out from randomly selected sample of respondents. The primary data was analysed and presented through tabulation. For binary dependent variables, the standardised logistic coefficients were projected for more reliable estimates.

The findings reveal that the population of both capital cities have a low personal perception of climate change. Also, the dwellers of both cities have a low level of motivation to take mitigative and adaptive measures against climatic hazards. The results of the logistic regression model further indicate that the people who believe that climate change is a threat to their lives are more likely to adopt mitigative and adaptive strategies. This mostly applies to the people with a relatively higher income and education level.

This study implies to create awareness and sensitise the local community in both the capitals and beyond through information dissemination. Further, the availability of toolkits to handle emergencies remains imperative in registering attitudinal and behavioural changes to reduce the impacts of climate variability in poor localities.

This research study analysed the link between climate change mitigation and energy conservation from the societal attributes of perception, motivation, attitude and behaviour, which remains essential for community-based mitigation against climatic hazards.