Adoption of drip fertigation system and technical efficiency of cherry tomato farmers in Southern China

Qian, Yang; Zhu, Yueji; Wang, Jianwen

doi:10.1016/j.jclepro.2020.123980

Cited by 34 publications

(13 citation statements)

References 35 publications

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“…When farmers invest only with their own labor and capital, for their different endowments, their marginal rates of return are not equal. This is consistent with those studies that do not consider the role of credit markets [11]. However, as Magruder [12] pointed out, credit markets can reduce the impact of capital constraints.…”

Section: The Role Of Borrowed Fundssupporting

confidence: 90%

“…However, for the high-cost IICS, farmers' endowment plays an important role. The above conclusions are different from previous studies, which showed that higher endowment usually leads to higher adoption intention [11,17]. For example, the study of Jayne [52], which focused on Africa, found that the adoption level of high-income farmers is high.…”

Section: Discussioncontrasting

confidence: 80%

“…We can see that in Equation (11), because of the interest rate spread, 0 is not offset. As shown in Figure 2b, when 0 < 2 * ′ , the change of 0 will lead to the change of shadow .…”

Section: The Role Of Borrowed Fundsmentioning

confidence: 97%

“…Because of the inconsistency of the adoption of fertigation technologies among farmers, relevant studies have widely investigated the role of farmers' heterogeneity. For example, Yang et al found that high-income and young farmers have higher adoption rates of fertigation techniques [11], and credit markets and subsidies can weaken these effects [12]. The lack of understanding and application ability of technology also hinders farmers' adoption [13].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Will the Adoption of Early Fertigation Techniques Hinder Famers’ Technology Renewal? Evidence from Fresh Growers in Shaanxi, China

Yuan¹,

Li²,

Sun³

et al. 2021

Agriculture

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Fertigation technology is key to solve water pollution and inefficient fertilizer use. However, some early techniques cannot adapt to the current situation of labor shortages and large-scale planting. Therefore, it is necessary to consider farmers’ willingness to adopt more adaptive techniques. Specifically, we focus on whether early technology adoption will hinder technology renewal and whether the factors affecting the adoption of early and latest techniques are consistent. Through theoretical analysis and a survey, we find that farmers’ endowments such as income and labor force only affect the adoption intentions to the high-cost technique (Intelligent Irrigation Control System), but not early techniques (Venturi injector and Differential pressure tank), while farmers’ information processing ability and information acquisition channels affect both. Finally, the results of Propensity Score Matching show that early technology adoption will not become an obstacle to technology renewal.

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Section: The Role Of Borrowed Fundssupporting

confidence: 90%

Section: Discussioncontrasting

confidence: 80%

“…We can see that in Equation (11), because of the interest rate spread, 0 is not offset. As shown in Figure 2b, when 0 < 2 * ′ , the change of 0 will lead to the change of shadow .…”

Section: The Role Of Borrowed Fundsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Will the Adoption of Early Fertigation Techniques Hinder Famers’ Technology Renewal? Evidence from Fresh Growers in Shaanxi, China

Yuan¹,

Li²,

Sun³

et al. 2021

Agriculture

View full text Add to dashboard Cite

show abstract

“…Previous research has deeply analyzed the productivity and efficiency of agriculture and food processing (focusing on tomato production, see, e.g., [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40]). Employing different analytical approaches, researchers in this area have used total factor productivity or partial (particularly labor) productivity measures, as well as data envelopment analysis (DEA) and stochastic frontier analysis (SFA), among others.…”

Section: Introductionmentioning

confidence: 99%

Drivers of Productivity Change in the Italian Tomato Food Value Chain

2021

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This study evaluated productivity dynamics and identified sources of productivity growth in Italian tomato production and processing. We used a stochastic frontier input distance function with four error components—heterogeneity, statistical noise, persistent and transient inefficiency—and a four-step estimation procedure with a system generalized method of moments (GMM) estimator in the first step to address the endogeneity problem. The results reveal significant differences in the productivity and efficiency of tomato production and processing. Moreover, there are considerable differences among the different sizes of tomato producers, with the main variations observed for scale efficiency. While tomato processors operate at an optimal production size, tomato producers are characterized by considerable economies of scale, especially small producers. These results thus suggest that there is significant opportunity for technical efficiency improvements at both stages of the value chain. Finally, due to improvements made to scale efficiency, extensive productivity growth was observed for the group of small tomato producers.

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Drip Fertigation Technologies

Khan

Sarwar

2023

Encyclopedia of Smart Agriculture Technologies

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Adoption of drip fertigation system and technical efficiency of cherry tomato farmers in Southern China

Cited by 34 publications

References 35 publications

Will the Adoption of Early Fertigation Techniques Hinder Famers’ Technology Renewal? Evidence from Fresh Growers in Shaanxi, China

Will the Adoption of Early Fertigation Techniques Hinder Famers’ Technology Renewal? Evidence from Fresh Growers in Shaanxi, China

Drivers of Productivity Change in the Italian Tomato Food Value Chain

Drip Fertigation Technologies

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