Linking apple farmers to markets

Ma, Wanglin; Abdulai, Awudu

doi:10.1108/caer-04-2015-0035

Cited by 42 publications

(17 citation statements)

References 36 publications

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“…Apple cultivation is a natural reproduction process, and its growth requires sufficient water. However, most of China's apple production areas are distributed in the northern mountainous and hilly areas, where the climate is mainly dry and less rainy [5]. Therefore, the conditions of irrigation facilities are important factors affecting apple cultivation [28].…”

Section: Infrastructurementioning

confidence: 99%

“…According to the Apple Regionalization Plan of China Agriculture Research System (CARS), China's apple production area is divided into five regions, including the Bohai Bay production area (including Shandong, Hebei, Liaoning, Tianjin, and Beijing), the Loess Plateau production area (including Shaanxi, Gansu, Shanxi, Ningxia, and Qinghai), the Yellow River Old Road production area (including Henan, Anhui, and Jiangsu), the Southwest Cold and Highland production area (including Sichuan, Chongqing, Yunnan, Guizhou, and Tibet), and the Special production area (including Inner Mongolia, Heilongjiang, Jilin, Hubei, and Xinjiang). Among them, the Bohai Bay and the Loess Plateau production areas are the advantageous apple-producing areas in China [5].…”

Section: Data Sources and Descriptionmentioning

confidence: 99%

“…This showed that the area and output in China had increased sharply from 17.30 percent and 7.06 percent in 1978. Thus, China has become the world's largest apple producer [4,5]. However, with an increase in income and the improved standard of living among urban and rural residents, consumers are paying more attention to the quality and safety of agricultural products as well as the nutritional value of foods [6][7][8][9], thereby accelerating the upgrade of apple market demand structure [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An empirical study on spatial–temporal dynamics and influencing factors of apple production in China

et al. 2020

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In the context of supply-side structural reform, revealing the characteristics of spatial-temporal dynamics and influencing factors of China's apple production layout is of great significance to ensure apple supply and demand balance and timely adjustment of industrial policies and regional layout strategies. Based on national and provincial apple production data from 1978 to 2016, this study used the apple production concentration index to analyse the evolution characteristics of regional apple production patterns in China. A theoretical analysis framework was established and a spatial econometric model was used to quantitatively explore the influencing factors of China's apple production layout. The results showed that, first, since the reform and opening-up policy, a general trend of fluctuating growth was found for apple production in China. The centre of apple production layout moved in the southwest direction, with the shift from the Bohai Bay region to the Loess Plateau region. Second, apple production had a significant spatial correlation, while the degree of spatial agglomeration gradually decreased. Third, these changes were significantly influenced by apple comparative income, infrastructure, policies, and climatic conditions. Therefore, it is necessary to continue optimizing and adjusting the apple spatial layout to enhance the technological progress and economic effect of the apple industry and to ensure the stability and balance of regional supply and demand.

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Section: Infrastructurementioning

confidence: 99%

Section: Data Sources and Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An empirical study on spatial–temporal dynamics and influencing factors of apple production in China

et al. 2020

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“…The propensity score matching (PSM) approach is commonly used in impact evaluation programs, in particular when self-selection occurs [28,29,30]. However, one of the major drawbacks of the PSM approach is that it accounts only for the selection bias resulting from observed factors.…”

Section: Empirical Specificationmentioning

confidence: 99%

Farm Machine Use and Pesticide Expenditure in Maize Production: Health and Environment Implications

Zhang

Wang

Zhou

2019

IJERPH

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Although chemical pesticide use has increased agricultural productivity, it has caused adverse effects on human health and the environment. For example, pesticide exposure may result in the incidence of a human health condition (e.g., heart disease, immune disorders, cancer, and damaged skin) and it can pollute air, water, and soil conditions and damage biodiversity. Mitigating the negative externalities associated with pesticide use is essential to improve human health and environmental performance. In this study, we are trying to explore whether farm machine use reduces pesticide expenditure by analyzing farm household survey data collected from 493 maize farmers in China. An endogenous switching regression model is employed to address the sample selection bias issue associated with voluntary farm machine use. The empirical results reveal that farm machine use exerts a negative and statistically significant impact on pesticide expenditure. The findings highlight the important role of farm machines in helping reduce pesticide expenditure, which is, in turn, beneficial for improving human health conditions and environmental performance.

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“…The first grand theme relates to the dynamics of smallholder participation in contract farming programs. Herein, studies examine barriers and motivations for smallholder participation in contract farming (Lozano & Heinen, 2016;Selhausen, 2016), factors influencing the intensity of smallholder participation in contract farming (Selhausen, 2016), and factors influencing smallholder choice of contracts (Ma & Abdulai, 2016;Saenger et al, 2013). The second grand theme relates to the impacts of contract farming as a poverty reduction initiative.…”

Section: Key Themes On Smallholder Participation In Contract Farmingmentioning

confidence: 99%

Achieving Sustainable Development Goals in the global food sector: A systematic literature review to examine small farmers engagement in contract farming

et al. 2019

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Contract farming, a common strategy among multinational companies in the global food sector, can help achieve Sustainable Development Goals (SDGs). However, it largely depends on whether or not small farmers can participate in contract farming programs, which has been a major issue globally. Our main objective in this systematic literature review is to identify the factors that drive small farmer participation in contract farming. We analyze 97 peer‐reviewed journal articles published between 1977 and 2017. Our review finds that farmer demographic characteristics, farm structure, farmer characteristics, and farmer attitudes influence participation in contract farming although causal mechanisms remain ambiguous. We therefore suggest the need for more comprehensive methodologies to examine small farmer participation in contract farming. In the meantime, global food sector companies must consider these factors as they develop plans toward achieving SDGs.

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Linking apple farmers to markets

Cited by 42 publications

References 36 publications

An empirical study on spatial–temporal dynamics and influencing factors of apple production in China

An empirical study on spatial–temporal dynamics and influencing factors of apple production in China

Farm Machine Use and Pesticide Expenditure in Maize Production: Health and Environment Implications

Achieving Sustainable Development Goals in the global food sector: A systematic literature review to examine small farmers engagement in contract farming

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