scholarly journals Adaptation Implications of Climate-Smart Agriculture in Rural Pakistan

2021 ◽  
Vol 13 (21) ◽  
pp. 11702
Author(s):  
Muhammad Faisal Shahzad ◽  
Awudu Abdulai ◽  
Gazali Issahaku
Keyword(s):  
Climate Change ◽  
Water Conservation ◽  
Switching Regression ◽  
Crop Failure ◽  
Net Returns ◽  
Level Data ◽  
Agroecological Zones ◽  
Smart Agriculture ◽  
On Farm ◽  
The Impact

In this paper, we analyze the drivers of the adoption of climate-smart agricultural (CSA) practices and the impact of their adoption on farm net returns and exposure to risks. We use recent farm-level data from three agroecological zones of Pakistan to estimate a multinomial endogenous switching regression for different CSA practices used to reduce the adverse impact of climate change. These strategies include changing input mix, changing cropping calendar, diversifying seed variety, and soil and water conservation measures. The empirical results show that the adoption of different CSA practices is influenced by average rainfall, previous experience of climate-related shocks, and access to climate change information. The findings further reveal that adoption of CSA practices positively and significantly improves farm net returns and reduces farmers’ exposure to downside risks and crop failure. The results also reveal significant differences in the impacts of CSA practice adoption on farm net returns in different agroecological zones. Thus, policies aimed at achieving sustainability in agricultural production should consider agroecological, specific, climate-smart solutions.

scholarly journals Crop productivity and adaptation to climate change in Pakistan

2018 ◽  
Vol 23 (6) ◽  
pp. 679-701 ◽  
Author(s):  
Ashley Gorst ◽  
Ali Dehlavi ◽  
Ben Groom
Keyword(s):  
Climate Change ◽  
Crop Productivity ◽  
Adaptation Strategies ◽  
Adaptation To Climate Change ◽  
Rice Farmers ◽  
Level Data ◽  
Ongoing Assessment ◽  
On Farm ◽  
The Impact ◽  
Productivity Gains

AbstractThe effectiveness of adaptation strategies is crucial for reducing the costs of climate change. Using plot-level data from a specifically designed survey conducted in Pakistan, we investigate the productive benefits for farmers who adapt to climate change. The impact of implementing on-farm adaptation strategies is estimated separately for two staple crops: wheat and rice. We employ propensity score matching and endogenous switching regressions to account for the possibility that farmers self-select into adaptation. Estimated productivity gains are positive and significant for rice farmers who adapted, but negligible for wheat. Counterfactual gains for non-adapters were significantly positive, which is potentially a sign of transactions costs to adaptation. Other factors associated with adaptation were formal credit and extension, underscoring the importance of addressing institutional and informational constraints that inhibit farmers from improving their farming practices. The findings provide evidence for the Pakistani Planning and Development Department's ongoing assessment of climate-related agricultural losses.

Does the Contract Type Matter? Impact of Marketing and Production Contracts on Cashew Farmers’ Farm Performance in Ghana

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Caroline Dubbert ◽  
Awudu Abdulai
Keyword(s):  
Driving Forces ◽  
Smallholder Farmers ◽  
Spot Markets ◽  
Switching Regression ◽  
Farm Productivity ◽  
Production Contracts ◽  
Marketing Contracts ◽  
On Farm ◽  
The Impact ◽  
Substantial Heterogeneity

Abstract Many studies show that participation in contract farming has positive impacts on farm productivity and incomes. Most of the literature, however, does not take into account that contracts vary in their specifications, making empirical evidence scarce on the diverse impacts of different types of contracts. In this study, we investigate the driving forces of participation in marketing and production contracts, relative to spot markets. We also study the extent to which different contract types add additional benefits to smallholder farmers, using recent survey data of 389 cashew farmers in Ghana. To account for selection bias arising from observed and unobserved factors, we apply a multinomial endogenous switching regression method and implement a counterfactual analysis. The empirical results demonstrate that farmers who participate in production contracts obtain significantly higher cashew yields, cashew net revenues, and are more food secure compared to spot market farmers. We also find substantial heterogeneity in the impact of marketing and production contracts across scale of operation. Small sized farms that participate in production contracts tend to benefit the most. Marketing contracts, however, do not appear to benefit cashew farmers.

Farmers’ Capacity and Rice Productivity in Climate Change Adaptation in Central Lampung Regency, Indonesia

2021 ◽  
Vol 11 (4) ◽  
pp. 346-353
Author(s):  
Indah Listiana ◽  
Indah Nurmayasari ◽  
Rinaldi Bursan ◽  
Muher Sukmayanto ◽  
Helvi Yanfika ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Agricultural Sector ◽  
Rank Correlation ◽  
Performance Level ◽  
Crop Failure ◽  
Rice Productivity ◽  
Spearman Rank Correlation Analysis ◽  
The Impact ◽  
The Relationship

Climate change is an extreme natural change condition due to global warming that cannot be avoided, and will have a broad impact on various aspects of life, including the agricultural sector. The impact of climate change that occurs in the agricultural sector, namely flood and drought that cause plants to crop failure , is becoming greater, causing significant reduction in agricultural production, especially rice, requiring that farmers have the ability to adapt to climate change. The purposes of this study are to analyze the relationship between the performance level of agricultural extension workers and the capacity level of farmers in regard to climate change adaptation, and to analyze the relationship between the level of farmer capacity in climate change adaptation and rice productivity. The research was conducted in Central Lampung Regency in 2019 using a total of 100 rice farmers. The data analysis method used is Spearman rank correlation analysis. The results show that the performance level of agricultural instructors is significantly related to the level of knowledge capacity, attitude, and skills of farmers in climate change adaptation. Knowledge capacity, attitude, and skills of farmers in climate change adaptation are significantly related to rice productivity.

scholarly journals Assessing the Potential Contribution of Pfumvudza Towards Climate Smart Agriculture in Zimbabwe: A Review

2021 ◽  
Author(s):  
Never Mujere
Keyword(s):  
Climate Change ◽  
Nitrous Oxide ◽  
Food Security ◽  
Nitrous Oxide Emissions ◽  
Household Food Security ◽  
Potential Contribution ◽  
Mitigation And Adaptation ◽  
Household Food ◽  
Smart Agriculture ◽  
The Impact

Concerns of food and environmental security have increased enormously in recent years due to the vagaries of climate change and variability. Efforts to promote food security and environmental sustainability often reinforce each other and enable farmers to adapt to and mitigate the impact of climate change and other stresses. Some of these efforts are based on appropriate technologies and practices that restore natural ecosystems and improve the resilience of farming systems, thus enhancing food security. Climate smart agriculture (CSA) principles, for example, translate into a number of locally-devised and applied practices that work simultaneously through contextualised crop-soil-water-nutrient-pest-ecosystem management at a variety of scales. The purpose of this paper is to review concisely the current state-of-the-art literature and ascertain the potential of the Pfumvudza concept to enhance household food security, climate change mitigation and adaptation as it is promoted in Zimbabwe. The study relied heavily on data from print and electronic media. Datasets pertaining to carbon, nitrous oxide and methane storage in soils and crop yield under zero tillage and conventional tillage were compiled. Findings show that, compared to conventional farming, Pfumvudza has great potential to contribute towards household food security and reducing carbon emissions if implemented following the stipulated recommendations. These include among others, adequate land preparation and timely planting and acquiring inputs. However, nitrous oxide emissions tend to increase with reduced tillage and, the use of artificial fertilizers, pesticides and herbicides is environmentally unfriendly.

scholarly journals Quantifying the Impacts of Climate Change, Coal Mining and Soil and Water Conservation on Streamflow in a Coal Mining Concentrated Watershed on the Loess Plateau, China

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1054 ◽  
Author(s):  
Qiaoling Guo ◽  
Yaoyao Han ◽  
Yunsong Yang ◽  
Guobin Fu ◽  
Jianlin Li
Keyword(s):  
Climate Change ◽  
Coal Mining ◽  
Loess Plateau ◽  
Water Conservation ◽  
Soil And Water Conservation ◽  
The Loess Plateau ◽  
Annual Streamflow ◽  
Significant Downward Trend ◽  
The Impact ◽  
Soil And Water

The streamflow has declined significantly in the coal mining concentrated watershed of the Loess Plateau, China, since the 1970s. Quantifying the impact of climate change, coal mining and soil and water conservation (SWC), which are mainly human activities, on streamflow is essential not only for understanding the mechanism of hydrological response, but also for water resource management in the catchment. In this study, the trend of annual streamflow series by Mann-Kendall test has been analyzed, and years showing abrupt changes have been detected using the cumulative anomaly curves and Pettitt test. The contribution of climate change, coal mining and SWC on streamflow has been separated with the monthly water-balance model (MWBM) and field investigation. The results showed: (1) The streamflow had an statistically significant downward trend during 1955–2013; (2) The two break points were in 1979 and 1996; (3) Relative to the baseline period, i.e., 1955–1978, the mean annual streamflow reduction in 1979–1996 was mainly affected by climate change, which was responsible for a decreased annual streamflow of 12.70 mm, for 70.95%, while coal mining and SWC resulted in a runoff reduction of 2.15 mm, 12.01% and 3.05mm, 17.04%, respectively; (4) In a recent period, i.e., 1997–2013, the impact of coal mining on streamflow reduction was dominant, reaching 29.88 mm, 54.24%. At the same time, the declining mean annual streamflow induced through climate change and SWC were 13.01 mm, 23.62% and 12.20 mm, 22.14%, respectively.

Urban water demand assessment for sustainable water resources management, under climate change and socioeconomic changes

2019 ◽  
Vol 20 (2) ◽  
pp. 679-687 ◽  
Author(s):  
Angelos Alamanos ◽  
Stamatis Sfyris ◽  
Chrysostomos Fafoutis ◽  
Nikitas Mylopoulos
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Water Resources ◽  
Water Conservation ◽  
Water Demand ◽  
Management Scenarios ◽  
Sustainable Water Resources Management ◽  
The Future ◽  
The Impact ◽  
The City

Abstract The relationship between water abstraction and water availability has turned into a major stress factor in the urban exploitation of water resources. The situation is expected to be sharpened in the future due to the intensity of extreme meteorological phenomena, and socio-economic changes affecting water demand. In the city of Volos, Greece, the number of water counters has been tripled during the last four decades. This study attempts to simulate the city's network, supply system and water demand through a forecasting model. The forecast was examined under several situations, based on climate change and socio-economic observations of the city, using meteorological, water pricing, users' income, level of education, family members, floor and residence size variables. The most interesting outputs are: (a) the impact of each variable in the water consumption and (b) water balance under four management scenarios, indicating the future water management conditions of the broader area, including demand and supply management. The results proved that rational water management can lead to remarkable water conservation. The simulation of real scenarios and future situations in the city's water demand and balance, is the innovative element of the study, making it capable of supporting the local water utility.

scholarly journals Climate change, household vulnerability and smart agriculture: The case of two South African provinces

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Mkhululi Ncube ◽  
Nomonde Madubula ◽  
Hlami Ngwenya ◽  
Nkulumo Zinyengere ◽  
Leocadia Zhou ◽  
...  
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Rural Areas ◽  
Crop Yields ◽  
Local Level ◽  
Rural Households ◽  
Impact Of Climate Change ◽  
Household Vulnerability ◽  
Smart Agriculture ◽  
The Impact

The impact of climate-change disasters poses significant challenges for South Africa, especially for vulnerable rural households. In South Africa, the impact of climate change at the local level, especially in rural areas, is not well known. Rural households are generally poor and lack resources to adapt to and mitigate the impact of climate change, but the extent of their vulnerability is largely not understood. This study looked at the micro-level impact of climate change, evaluated household vulnerability and assessed alternative adaptation strategies in rural areas. The results indicate that climate change will hit crop yields hard and that households with less capital are most vulnerable. These households consist of the elderly and households headed by females. Households that receive remittances or extension services or participate in formal savings schemes in villages are less vulnerable. The results suggest that households need to move towards climate-smart agriculture, which combines adaptation, mitigation and productivity growth.

Linking apple farmers to markets

2016 ◽  
Vol 8 (1) ◽  
pp. 2-21 ◽  
Author(s):  
Wanglin Ma ◽  
Awudu Abdulai
Keyword(s):  
Multinomial Logit Model ◽  
Switching Regression ◽  
Content Type ◽  
Net Returns ◽  
Matching Technique ◽  
Apple Production ◽  
Marketing Contracts ◽  
The Impact ◽  
Selection Correction ◽  
Correction Terms

Purpose – The purpose of this paper is to investigate the determinants of marketing contract choices including written contracts, oral contracts and no contracts, as well as to examine the impact of marketing contracts on net returns from apple production in China. Design/methodology/approach – A two-stage selection correction approach (Bourguignon, Fournier, and Gurgand (BFG)) for the multinomial logit model is employed to estimate the impact of marketing contracts on net returns from apple production. On the basis of the BFG estimation, the authors also use an endogenous switching regression model and a propensity score matching technique to estimate the causal effects of marketing contract choices on net returns from apple production. Findings – The results reveal significant selectivity correction terms in the choices of both written contracts and no contracts and insignificant selectivity correction terms in the choice of oral contract, indicating that accounting for selection bias is a prerequisite for unbiased and consistent estimation. The findings also indicate written contracts increase apple farmers’ net returns, while oral contracts exert the opposite effect. Originality/value – To the best of the authors’ knowledge, this study is the first to examine the impact of marketing contract choices on net returns from apple production, accounting for selectivity effects.

scholarly journals Estimating the impact of climate change on residential water use using panel data analysis: a case study of Lilongwe, Malawi

2017 ◽  
Vol 8 (2) ◽  
pp. 217-226 ◽  
Author(s):  
Chikondi Makwiza ◽  
Musandji Fuamba ◽  
Fadoua Houssa ◽  
Heinz Erasmus Jacobs
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Water Conservation ◽  
Linear Models ◽  
Panel Data Analysis ◽  
Empirical Relationship ◽  
Residential Water Use ◽  
The Impact ◽  
Residential Water ◽  
Emissions Scenario

Abstract In this study, panel linear models were used to develop an empirical relationship between metered household water use and the independent variables plot size and theoretical irrigation requirement. The estimated statistical model provides a means of estimating the climate-sensitive component of residential water use. Ensemble averages of temperature and rainfall projections were used to quantify potential changes in water use due to climate change by 2050. Annual water use per household was estimated to increase by approximately 1.5% under the low emissions scenario or 2.3% under the high emissions scenario. The model results provide information that can enhance water conservation initiatives relating particularly to outdoor water use. The model approach presented utilizes data that are readily available to water supply utilities and can therefore be easily replicated elsewhere.

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