The potential benefits of agricultural adaptation to warming in China in the long run

2017 ◽  
Vol 23 (2) ◽  
pp. 139-160 ◽  
Author(s):  
Kaixing Huang ◽  
Jinxia Wang ◽  
Jikun Huang ◽  
Christopher Findlay
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Rural China ◽  
Household Survey ◽  
Capital Intensity ◽  
Climate Change Scenarios ◽  
Household Level ◽  
Long Run ◽  
Potential Benefits ◽  
Potential Damage

AbstractUnderstanding the extent to which agriculture can adapt to climate change and the determinants of farmers' adaptive capacity are of paramount importance from a policy perspective. Based on household survey data from a large sample in rural China, the present article adopts a panel approach to estimate the potential benefits of long-run adaptation and to identify the determinants of farmers' adaptive capacity. The empirical results suggest that, for various model settings and climate change scenarios, long-run adaptations should mitigate one-third to one-half of the damages of warming on crop profits by the end of this century. These findings support the basic argument of the hedonic approach that omitting long-run adaptations will dramatically overestimate the potential damage of climate change. The paper also finds that household-level capital intensity and farmland size have significant effects on farmers' adaptive capacities.

scholarly journals Adaptive Capacity to Extreme Heat: Results from a Household Survey in Houston, Texas

2017 ◽  
Vol 9 (4) ◽  
pp. 787-799 ◽  
Author(s):  
Mary H. Hayden ◽  
Olga V. Wilhelmi ◽  
Deborah Banerjee ◽  
Tamara Greasby ◽  
Jamie L. Cavanaugh ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Air Conditioning ◽  
Household Survey ◽  
The United States ◽  
Extreme Heat ◽  
Community Based ◽  
Household Level ◽  
Population Vulnerability ◽  
Heat Risk ◽  
Related Mortality

Abstract Extreme heat is the leading cause of weather-related mortality in the United States, suggesting the necessity for better understanding population vulnerability to extreme heat. The work presented here is part of a larger study examining vulnerability to extreme heat in current and future climates [System for Integrated Modeling of Metropolitan Extreme Heat Risk (SIMMER)] and was undertaken to assess Houston, Texas, residents’ adaptive capacity to extreme heat. A comprehensive, semistructured survey was conducted by telephone at 901 households in Houston in 2011. Frequency and logistic regression analyses were conducted. Results show that 20% of the survey respondents reported heat-related symptoms in the summer of 2011 despite widespread air conditioning availability throughout Houston. Of those reporting heat-related symptoms experienced in the home (n = 56), the majority could not afford to use air conditioning because of the high cost of electricity. This research highlights the efficacy of community-based surveys to better understand adaptive capacity at the household level; this survey contextualizes population vulnerability and identifies more targeted intervention strategies and adaptation actions.

Evaluating the Community’s Adaptive Capacity to Climate Change at the Household Level: Evidences from a Survey in Rang Dong Town, Nghia Hung District, Nam Dinh Province

2017 ◽  
Vol 33 (4) ◽  
Author(s):  
Dam Thi Tuyet
Keyword(s):  
Climate Change ◽  
United Kingdom ◽  
International Development ◽  
Adaptive Capacity ◽  
Sustainable Livelihood ◽  
Household Level ◽  
The United Kingdom ◽  
Research Findings ◽  
Depth Interviews ◽  
Impacts Of Climate Change

This research used the sustainable livelihood framework developed by the Department for International Development of the United Kingdom (2001) to evaluate the community’s adaptive capacity to climate change in Rang Dong town, Nghia Hung district, Nam Dinh province. In-depth interviews were conducted with 79 households to explore their opinions and rating about symptoms and impacts of climate change related to their families’s livelihoods. The interviews also focused on the methods that the households used to respond to climate change. The research findings show that the households’ capacity to climate change is generally weak. The households’ livelihood resources there are utlised at a low level and these resources are insufficient to support them in responding to climate change.

Unbelievable but improved cookstoves are not helpful in reducing firewood demand in Nepal

2010 ◽  
Vol 16 (1) ◽  
pp. 1-23 ◽  
Author(s):  
MANI NEPAL ◽  
APSARA NEPAL ◽  
KRISTINE GRIMSRUD
Keyword(s):  
Indoor Air ◽  
Indoor Air Pollution ◽  
Household Survey ◽  
Conservation Strategy ◽  
Household Level ◽  
Open Fire ◽  
Long Run ◽  
Different Types ◽  
Household Survey Data ◽  
Nationally Representative

ABSTRACTThis paper analyzes the effect of different types of cookstoves on firewood demand at the household level. Using nationally representative household survey data from Nepal, we find that stove type significantly affects the firewood demand for household uses. Traditional mud-stove user households seem to use less firewood than the open-fire stove users. Surprisingly, households with the so-called ‘improved’ stoves seem to use more firewood than the households with mud stoves. Thus, converting traditional open-fire stoves to mud stoves may be a better conservation strategy in the short term rather than installing improved stoves, unless the technology improves. However, in the long run, making cleaner fuel more accessible to rural households is desirable to reduce indoor air pollution.

THE IMPACTS OF CLIMATE CHANGE ON NOMADIC LIVESTOCK HUSBANDRY IN MONGOLIA

2017 ◽  
Vol 08 (03) ◽  
pp. 1740003 ◽  
Author(s):  
TSENDSUREN BATSUURI ◽  
JINXIA WANG
Keyword(s):  
Climate Change ◽  
Harmful Effect ◽  
Household Survey ◽  
Marginal Effect ◽  
Cross Sectional ◽  
Household Level ◽  
Livestock Sector ◽  
Small Change ◽  
Using Data ◽  
Level Analysis

This study conducts cross-sectional analysis to investigate impact of climate change on livestock sector in Mongolia using data gathered from a household survey and aggregate soum (district) level data. The soum-level analysis reveals the marginal effect of precipitation has a positive effect on livestock/ha up to 26[Formula: see text]mm/mo and thereafter a harmful effect. The marginal effect of warming on livestock/ha is not significant until annual temperatures exceed 0.4[Formula: see text]C whereupon warming is strictly harmful. The household-level analysis suggests warming will decrease earnings per animal while overall earnings per household increases with a small change in climate but declines with larger changes. However, the household data also suggests warming would increase the total value of livestock. The results of the different analyses are therefore conflicting suggesting one or more of the analyses are plagued by missing variables.

scholarly journals Communities’ Livelihood Vulnerability to Climate Variability in Ethiopia

2019 ◽  
Vol 11 (22) ◽  
pp. 6302 ◽  
Author(s):  
Misganaw Teshager Abeje ◽  
Atsushi Tsunekawa ◽  
Nigussie Haregeweyn ◽  
Zerihun Nigussie ◽  
Enyew Adgo ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Adaptive Capacity ◽  
Policy Development ◽  
Composite Index ◽  
Household Survey ◽  
Kendall Test ◽  
Vulnerability Index ◽  
Relative Difference ◽  
Sustainable Livelihood

Ethiopia has experienced more than 10 major drought episodes since the 1970s. Evidence has shown that climate change exacerbates the situation and presents a daunting challenge to predominantly rain-fed agricultural livelihoods. The aim of this study was to analyze the extent and sources of smallholder famers’ livelihood vulnerability to climate change/variability in the Upper Blue Nile basin. We conducted a household survey (n = 391) across three distinct agroecological communities and a formative composite index of livelihood vulnerability (LVI) was constructed. The Mann–Kendall test and the standard precipitation index (SPI) were employed to analyze trends of rainfall, temperature, and drought prevalence for the period from 1982 to 2016. The communities across watersheds showed a relative difference in the overall livelihood vulnerability index. Aba Gerima (midland) was found to be more vulnerable, with a score of 0.37, while Guder (highland) had a relatively lower LVI with a 0.34 index score. Given similar exposure to climate variability and drought episodes, communities’ livelihood vulnerability was mainly attributed to their low adaptive capacity and higher sensitivity indicators. Adaptive capacity was largely constrained by a lack of participation in community-based organizations and a lack of income diversification. This study will have practical implications for policy development in heterogeneous agroecological regions for sustainable livelihood development and climate change adaptation programs.

Non-Kyoto radiative forcing in long-run greenhouse gas emissions and climate change scenarios

2013 ◽  
Vol 123 (3-4) ◽  
pp. 511-525 ◽  
Author(s):  
Steven K. Rose ◽  
Richard Richels ◽  
Steve Smith ◽  
Keywan Riahi ◽  
Jessica Strefler ◽  
...  
Keyword(s):  
Climate Change ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Radiative Forcing ◽  
Climate Change Scenarios ◽  
Gas Emissions ◽  
Long Run

scholarly journals Assessing the Adaptive Capacity of Households to Climate Change in the Central Rift Valley of Ethiopia

Climate ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 106
Author(s):  
Demamu Mesfin ◽  
Belay Simane ◽  
Abrham Belay ◽  
John W. Recha ◽  
Ute Schmiedel
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Integrated Assessment ◽  
Rift Valley ◽  
Grazing Land ◽  
Household Level ◽  
Composite Indices ◽  
Administrative Units ◽  
Lower Contribution ◽  
Better Than

This paper explores the different components of the adaptive capacity of households in the Central Rift Valley (CRV) of Ethiopia and quantifies their relative contributions. The data were derived from a survey of 413 households randomly selected from four Kebeles (the smallest government administrative units) in the CRV. The adaptive capacity of the households was assessed using the Local Adaptive Capacity (LAC) framework and measured in terms of both aggregate and composite indices, with sixty indicators distributed across five major components and subcomponents. The index score for major components shows that intangible variables such as institutions and entitlements, knowledge and information, and innovation contributed to adaptive capacity better than decision–making and governance and asset–base. The composite indices for sub–components showed that the contribution of woodlands to adaptive capacity was positive and superior to other natural assets. Grazing land was the next best contributor, while farmland and water resources made a much lower contribution. The findings of this study are useful to better understand the nature of adaptive capacity and its components at the household level. This study suggests the need for an integrated assessment and enhancement of adaptive capacity with all its components rather than focusing only on asset possession as an indicator of adaptive capacity.

scholarly journals HOW MIGHT CLIMATE CHANGE AFFECT MICROECONOMIC WELLBEING IN CENTRAL ASIA

2017 ◽  
Vol 5 ◽  
pp. 73-78
Author(s):  
Umar Burkhanov ◽  
Feruza Saburova
Keyword(s):  
Climate Change ◽  
Central Asia ◽  
Impact Analysis ◽  
National Level ◽  
Rural Livelihoods ◽  
Weather Conditions ◽  
Water Shortage ◽  
High Positive Correlation ◽  
Household Level ◽  
Potential Damage

Climate change may pose serious challenges to the economies of Central Asian countries, but in-depth studies on a national level are lacking. The paper is aimed to contribute filling this gap and devoted to assessing the economic impacts of climate change in selected areas of Central Asia. The methods of the desk study and documental analysis are used to summarize the adverse effects of climate change in rural livelihoods. Moreover, the preliminary results of the survey conducted in selected regions of Fergana valley within MikroKlima project used as a corresponding data for economic impact analysis on a household level. The results reveal that the effects of unfavorable weather conditions uneven for short and long term, and across Central Asia. Moreover, the most potential damage from climate change will affect the rural population, and there is also a high positive correlation between water shortage, increased aridity, and poverty, aggravated by climate change.

scholarly journals Economic Valuation of Nontimber Forest Products under the Changing Climate in Kilombero District, Tanzania

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Chelestino Balama ◽  
Suzana Augustino ◽  
Danford Mwaiteleke ◽  
Leopord P. Lusambo ◽  
Fortunatus B. S. Makonda
Keyword(s):  
Climate Change ◽  
Adverse Effects ◽  
Adaptive Capacity ◽  
Economic Value ◽  
Forest Products ◽  
Nontimber Forest Products ◽  
Household Level ◽  
Changing Climate ◽  
Management Regime ◽  
The Mean

Sustainable collection of Nontimber Forest Products (NTFPs) for trade is an appropriate measure to increase people’s adaptive capacity against adverse effects of climate change. However, information on the economic value for NTFPs for subsistence use and trade under the changing climate is inadequate, particularly in households around Iyondo Forest Reserve (IFR), in Kilombero District, Tanzania. The study identified and quantified NTFPs used for subsistence and trade, estimated its economic value, and examined factors influencing supply of NTFPs at household level. Data were collected through Focus Group Discussions, key informant interviews, questionnaire survey of 208 sample households, and spot market analysis to randomly selected NTFPs collectors, sellers, and buyers. The study identified 12 NTFPs used for subsistence and trade, which was evaluated in terms of the mean annual value per household. The mean annual value of the identified NTFPs ranged from TZS 4700 to 886 600. The estimated economic value of the studied NTFPs was TZS 51.4 billion (USD 36 million). The supply of NTFPs at household level was influenced by distance to the forest, change in forest management regime, seasonality, and change in rainfall pattern. NTFPs around IFR have high economic value which portrays the potential of developing them to enhance households’ adaptive capacity against climate change adverse effects.

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