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  1. Article ; Online: Does the Adoption of Climate-Smart Agricultural Practices Impact Farmers’ Income? Evidence from Ghana

    Wonder Agbenyo / Yuansheng Jiang / Xinxin Jia / Jingyi Wang / Gideon Ntim-Amo / Rahman Dunya / Anthony Siaw / Isaac Asare / Martinson Ankrah Twumasi

    International Journal of Environmental Research and Public Health, Vol 19, Iss 3804, p

    2022  Volume 3804

    Abstract: People’s lives, particularly farmers’, have been affected by extreme weather conditions that have reduced the yield of numerous crops due to climate change. Climate-smart agriculture practices can reduce or eliminate greenhouse gas emissions and have the ...

    Abstract People’s lives, particularly farmers’, have been affected by extreme weather conditions that have reduced the yield of numerous crops due to climate change. Climate-smart agriculture practices can reduce or eliminate greenhouse gas emissions and have the propensity to increase farm income and productivity. Therefore, the purpose of this study is to ascertain whether CSA practices impact farmers’ income. This study includes all cocoa farmers in the selected districts in the Ashanti Region. The population includes those who live in the six cocoa production villages. The multistage sampling procedure was considered based on the dominants of literature. The study used an endogenous switching regression framework to examine the effects of the adoption of climate-smart agricultural practices (CSAPs) on farmers’ income. While estimating treatment effects, telasso uses lasso techniques to select the appropriate variable sets. The results revealed that gender, farm experience, age, household size, and farm size do not significantly influence the adoption of irrigation and crop insurance. The study revealed a significant positive impact of access to credit on adopting irrigation and crop insurance. The adoption of climate-smart practices has a positive coefficient. This indicates that if all respondents in each region adopts these practices, their income would increase significantly. This study shows that adopting irrigation practices leads to an increase in household income of 8.6% and 11.1%, respectively, for cocoa farmers. Crop insurance has a positive coefficient and is statistically significant on household income, on-farm, and off-farm. This paper shows that climate-smart practices such as crop insurance can positively influence farmers’ income in Ghana. We also conjecture that crop insurance is the most effective and efficient climate-smart practice among the various agricultural practices. The study suggests that access to credit and mass awareness should be compulsory modules coupled with the consistent training of farmers on new technologies for effective policy implementation. Expanding access to extension officers could enhance farmers’ adaptive capacity and warrant the efficiency of implemented practices.
    Keywords climate change ; adoption ; climate-smart agricultural practices ; endogenous switch regression ; telasso treatment effect ; Medicine ; R
    Subject code 571
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: The Nexus of Agricultural Credit, Farm Size and Technical Efficiency in Sindh, Pakistan

    Abbas Ali Chandio / Yuansheng Jiang / Abrham Tezera Gessesse / Rahman Dunya

    Journal of the Saudi Society of Agricultural Sciences, Vol 18, Iss 3, Pp 348-

    A Stochastic Production Frontier Approach

    2019  Volume 354

    Abstract: This study examined the impact of agricultural credit and farm size on the technical efficiency of rice productivity in Sindh, Pakistan. A cross-sectional random sampling technique was used to collect data from 180 rice growers through a face to face ... ...

    Abstract This study examined the impact of agricultural credit and farm size on the technical efficiency of rice productivity in Sindh, Pakistan. A cross-sectional random sampling technique was used to collect data from 180 rice growers through a face to face interview. The stochastic production frontier technique was employed to analyse the survey data. The results of Maximum Likelihood Estimation (MLE) showed that credit, farm size, fertilizer, and labor significantly influenced the rice productivity in Sindh, Pakistan. Additionally, larger and significant scale of elasticity was found on credit while larger and significant marginal effect was found on farm size. Further, the mean technical efficiency was 0.97, which implies that 97 percent of rice farmers are technically efficient. Therefore, agricultural credit and farm size are the dominant factors in the improvement of rice production as well as the technical efficiency of smallholder farmers in Sindh, Pakistan. Keywords: Agricultural credit, Rice productivity, Technical efficiency, SFA, Pakistan
    Keywords Agriculture (General) ; S1-972
    Subject code 338
    Language English
    Publishing date 2019-07-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: The linkage between fertilizer consumption and rice production

    Abbas Ali Chandio / Yuansheng Jiang / Abdul Rehman / Rahman Dunya

    AIMS Agriculture and Food, Vol 3, Iss 3, Pp 295-

    Empirical evidence from Pakistan

    2018  Volume 305

    Abstract: Rice is one of the most important staple foods for 70 percent of the population of the world. It is among the main cereal crops grown in different regions of Pakistan as food crop. Pakistan has very much potentials for growing the crop and the potential ... ...

    Abstract Rice is one of the most important staple foods for 70 percent of the population of the world. It is among the main cereal crops grown in different regions of Pakistan as food crop. Pakistan has very much potentials for growing the crop and the potential rice production sown area is estimated to be about 2724 thousand hectares. The purpose of this study is to examine the linkage between fertilizer consumption and rice production in Pakistan from 1984 to 2014. For checking the stationarity of the data, this study incorporated Augmented Dickey Fuller (ADF) and Phillips Perron (PP) unit root tests. Furthermore, the Johenson Co-integration test is used to detect the long-term relationship among the series. Likewise, on the basis of annual time series data the Autoregressive Distributed Lag (ARDL) model is employed to evaluate the impact of fertilizer consumption on the production of rice in Pakistan up to now. The results of ADF and PP unit root tests reveal that fertilizer consumption and water availability are integrated at I(0) whereas area and rice production are integrated at I(1). The empirical findings of Autoregressive Distributed Lag (ARDL) model indicate that area and fertilizer consumption for rice has a significant effect on the rice production in both short-run and long-run. In contrast, water availability has a significant effect on the rice production in the long-run but it was statistically insignificant in the short-run. The estimated equation remains stable from the period of 1984 to 2014 as showed by stability tests.
    Keywords Pakistan| fertilizer consumption| rice production| autoregressive distributed lag| co-integration ; Agriculture (General) ; S1-972 ; Food processing and manufacture ; TP368-456
    Subject code 330
    Language English
    Publishing date 2018-08-01T00:00:00Z
    Publisher AIMS Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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