Efficiency and technical progress in traditional and modern agriculture: evidence from rice production in China

Xu, Xiaosong; Jeffrey, Scott R.

doi:10.1016/s0169-5150(97)00050-9

Cited by 52 publications

(29 citation statements)

References 9 publications

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“…Kalijaran (1991), Xu and Jeffrey (1998), Seidu (2008), Saigenji andZeller (2009), andNyagaka et al (2010) also found that agricultural extension services could help improving technical efficiency. Agricultural extension policy was designed in Vietnam to develop agriculure production in a sustainable way.…”

Section: Factors Affecting Resource Use Efficiencymentioning

confidence: 99%

Resource Use Efficiency of Tea Production in Vietnam: Using Translog SFA Model

Hong¹,

Yabe²

2015

JAS

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As one of the most important economic activities to small households of Vietnam, tea production is hindered by low productivity, rising of production costs, and bad agriculture practices. To sustain tea production, the near-term strategy is to improve the efficiency of resource utilization. To our knowledge, this article is the first study to evaluate the tea production's resource use efficiency and to identify the factors affecting it in Vietnam. The data was collected from 243 randomly selected tea farmers in the Northern mountainous region of Vietnam.The study first applied a translog stochastic production frontier model and technical efficiency (TE) technique to estimate resources use efficiency, and then used a Tobit model to identify the factors affecting these efficiencies among tea farms. Based on the mean sum of output elasticity with respect to inputs (0.323), we found that increasing the utilization of resources in the study site was inappropriate. The study also revealed that the average input-oriented TE of tea farms was lower than that of output-oriented TE, 82.21% versus 92.29%, suggesting that the farmers had more ability to reduce resource use than to increase current output level. The results showed that the tea farmers could use resources more efficiently by reducing 17.79% of the current application level without compromising the output. The study also indicates that concerted efforts from government to increase farmers' accessing extension service, widening soil and water conservation practice, and spreading farmers' awareness on water scarcity is the key to improve farmers' resource use efficiency.

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Section: Factors Affecting Resource Use Efficiencymentioning

confidence: 99%

Resource Use Efficiency of Tea Production in Vietnam: Using Translog SFA Model

Hong¹,

Yabe²

2015

JAS

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“…Important among these innovations to intensify traditional agricultural systems are ecological agricultural techniques involving more input of skills, knowledge and labor (Ellis and Wang, 1997;Xu, 2004;Shi, 2002;Battershill and Gilg, 1998), integrated farming systems (Li and Min, 1999), improved germplasm/transgenic plants grown with efficient systems (Xu and Jeffrey, 1995;Soleri et al, 2005) and diversification of farming systems (Short, 1997). Yet, repeated attempts at adoption of improved technologies have been met with modest success in SSA, where food insecurity remains a major issue.…”

Section: Constraints To Transforming Traditional Agriculture In Sub-smentioning

confidence: 99%

Soils and food sufficiency. A review

Lal

2009

Agron. Sustain. Dev.

191

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-Soil degradation, caused by land misuse and soil mismanagement, has plagued humanity since the dawn of settled agriculture. Many once thriving civilizations collapsed due to erosion, salinization, nutrient depletion and other soil degradation processes. The Green Revolution of the 1960s and 1970s, that saved hundreds of millions from starvation in Asia and elsewhere, by-passed Sub-Saharan Africa. This remains the only region in the world where the number of hungry and food-insecure populations will still be on the increase even by 2020. The serious technological and political challenges are being exacerbated by the rising energy costs. Resource-poor and small-size land-holders can neither afford the expensive input nor are they sure of their effectiveness because of degraded soils and the harsh, changing climate. Consequently, crop yields are adversely impacted by accelerated erosion, and depletion of soil organic matter (SOM) and nutrients because of the extractive farming practices. Low crop yields, despite growing improved varieties, are due to the severe soil degradation, especially the low SOM reserves and poor soil structure that aggravate drought stress. Components of recommended technology include: no-till; residue mulch and cover crops; integrated nutrient management; and biochar used in conjunction with improved crops (genetically modified, biotechnology) and cropping systems, and energy plantation for biofuel production. However, its low acceptance, e.g. for no-till farming, is due to a range of biophysical, social and economic factors. Competing uses of crop residues for other needs is among numerous factors limiting the adoption of no-till farming. Creating another income stream for resource-poor farmers, through payments for ecosystem services, e.g., C sequestration in terrestrial ecosystems, is an important strategy for promoting the adoption of recommended technologies. Adoption of improved soil management practices is essential to adapt to the changing climate, and meeting the needs of growing populations for food, fodder, fuel and fabrics. Soil restoration and sustainable management are essential to achieving food security, and global peace and stability.food security / soil restoration / sustainable development / soil degradation / conservation agriculture / no-till farming / biochar / integrated nutrient management

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“…This is a system of minimum cost input demand equations (Bravo -Ureta and Evenson, 1994;Xu andJeffrey, 1995 andPinheiro, 1997). Substituting a farm's input prices and quantity of output in equation (2) yields the economically efficient input vector X c.. With observed levels of output given, the corresponding technically and economically efficient costs of production will be equal to X ii P and X ie , respectively.…”

Section: Introductionmentioning

confidence: 99%

Allocative efficiency of small-holder cocoyam farmers in Anambra State, Nigeria

Okoye¹,

Onyenweaku²,

Asumugha³

2009

Nigeria Agricultural Journal

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This study employed a stochastic frontier translog cost and production functions to measure the level of allocative efficiency and it's determinants in small-holder cocoyam production in Anambra state, Nigeria. A multi-stage random sampling technique was used to select 120 cocoyam farmers in the state in 2005 from whom input-output data and their prices were obtained using the cost-route approach. The parameters of the stochastic frontier cost function were estimated using the maximum likelihood method. The result of the analysis shows that individual farm level allocative efficiency was about 65%. The study found age and education to be negatively and significantly related to allocative efficiency at 1.0%. Farm size coefficient also had a negative relationship with allocative efficiency and was significant at 5.0%. Fertilizer use and credit access was significant and directly related to allocative efficiency at 5.0% as well as farm experience at 10.0% level of probability. No significant relationship was found between allocative efficiency and extension visit, family size and membership of cooperative societies.

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Efficiency and technical progress in traditional and modern agriculture: evidence from rice production in China

Cited by 52 publications

References 9 publications

Resource Use Efficiency of Tea Production in Vietnam: Using Translog SFA Model

Resource Use Efficiency of Tea Production in Vietnam: Using Translog SFA Model

Soils and food sufficiency. A review

Allocative efficiency of small-holder cocoyam farmers in Anambra State, Nigeria

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