Farm production efficiency and natural forest extraction: Evidence from Cambodia

Nguyen, Trung Thành; Lam, Truong Quang; Parvathi, Priyanka; Wossink, Ada; Grote, Ulrike

doi:10.1016/j.landusepol.2017.11.016

Cited by 35 publications

(37 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Chandio et al (2017) stated that credit, land area, fertilizer, and labor significantly affect rice productivity in Sindh, Pakistan. The sex of the head of the household is also considered to influence the efficiency of agricultural production (Nguyen et al, 2018). Nguyen et al (2018) also state variables of age, education, number of family members, and workforce from their own families.…”

Section: Introductionmentioning

confidence: 99%

“…The sex of the head of the household is also considered to influence the efficiency of agricultural production (Nguyen et al, 2018). Nguyen et al (2018) also state variables of age, education, number of family members, and workforce from their own families. Mishra et al (2018) examined the efficiency of female farmers in managing the agricultural sector.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Factors Affecting the Technical Efficiency of Rice Farming in East Java Province

Hakim

Haryanto²,

Sari³

2020

JEP

View full text Add to dashboard Cite

Agriculture is a dominant sector in Indonesia, mostly because many people work in this sector, especially in agricultural centers such as East Java Province. However, it is ironic that the farm sector does not have a considerable contribution to Indonesia's national income. This study aimed to measure rice farming's efficiency in East Java and determine whether education, access to credit, farmer group membership, age, and agricultural extension affected rice farming efficiency. The data source comes from the Central Statistics Agency (Agricultural Business Household Income Survey) in 2013 for East Java Province. The number of samples used was 8603 farmer households. The research method uses Stochastic Frontier Analysis. The results showed that the average efficiency for the Cobb-Douglas production function was 0.764, while the average efficiency for the translog production function was 0.759. The Cobb-Douglas production function is not suitable for this study; the translog production function is considered more appropriate. The variables of education, access to credit, membership of farmer groups, age, and agricultural extension significantly influence rice farming's technical efficiency in East Java. The extension variable has the most significant effect.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Factors Affecting the Technical Efficiency of Rice Farming in East Java Province

Hakim

Haryanto²,

Sari³

2020

JEP

View full text Add to dashboard Cite

show abstract

“…Most studies have emphasized the issue of land use efficiency from different perspectives, including the efficiency of construction land and farmland productivity. Associations between land use and urbanization efficiency have also been analyzed (Huang et al, 2016;Nguyen et al, 2017;Deilmann et al, 2018) at all spatial scales (e.g., national and provincial as well as at the level of urban agglomerations, watersheds and individual cities) Rashidi et al, 2015). Previous research has also highlighted the mechanisms underlying changes in urbanization efficiency by analyzing drivers and spillover effects at different spatial scales ; thus, both parametric and non-parametric methods have been utilized in this area (Battese et al, 1995;Jin et al, 2017), corresponding with the classic data envelopment analysis (DEA) and stochastic frontier analysis (SFA) models, respectively.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014

et al. 2018

View full text Add to dashboard Cite

The question of how to generate maximum socio-economic benefits while at the same time minimizing input from urban land resources lies at the core of regional ecological civilization construction. We apply stochastic frontier analysis (SFA) in this study to municipal input-output data for the period between 2005 and 2014 to evaluate the urbanization efficiency of 110 cities within the Yangtze River Economic Belt (YREB) and then further assess the spatial association characteristics of these values. The results of this study initially reveal that the urbanization efficiency of the YREB increased from 0.34 to 0.53 between 2005 and 2014, a significant growth at a cumulative rate of 54.07%. Data show that the efficiency growth rate of cities within the upper reaches of the Yangtze River has been faster than that of their counterparts in the middle and lower reaches, and that there is also a great deal of additional potential for growth in urbanization efficiency across the whole area. Secondly, results show that urbanization efficiency conforms to a "bar-like" distribution across the whole area, gradually decreasing from the east to the west. This trend highlights great intra-provincial differences, but also striking inter-provincial variation within the upper, middle, and lower reaches of the Yangtze River. The total urbanization efficiency of cities within the lower reaches of the river has been the highest, followed successively by those within the middle and upper reaches. Finally, values for Moran's I within this area remained higher than zero over the study period and have increased annually; this result indicates a positive spatial correlation between the urbanization efficiency of cities and annual increments in agglomeration level. Our use of the local indicators of spatial association (LISA) statistic has enabled us to quantify characteristics of "small agglomeration and large dispersion". Thus, "high-high" 1114Journal of Geographical Sciences (H-H) agglomeration areas can be seen to have spread outwards from around Zhejiang Province and the city of Shanghai, while areas characterized by "low-low" (L-L) patterns are mainly concentrated in the north of Anhui Province and in Sichuan Province. The framework and results of this research are of considerable significance to our understanding of both land use sustainability and balanced development.

show abstract

“…Over‐extraction of forest and water resources brings serious consequences in terms of degradation of natural resources and deterioration of rural livelihoods. Even though extraction activities by rural households can destroy less the resources than by logging or fishing firms, they can still degrade the resources (Nguyen, Do, Parvathi, Wossink, & Grote, ). Therefore, a deep understanding of the roles of the resources to rural livelihoods, the factors affecting the extraction and dependence, and the impacts on rural welfare is relevant for successful rural development and conservation initiatives.…”

Section: Introductionmentioning

confidence: 99%

Natural resource extraction and household welfare in rural Laos

2018

Self Cite

View full text Add to dashboard Cite

Degradation of natural resources is a threat to sustainable development in many developing countries. Solving this requires an understanding of the factors affecting the extraction of and the dependence on the resources as well as the impacts on rural welfare. In this study, we identify the factors affecting the extraction of and the dependence on forest and water resources and examine the impacts of the extraction on rural household welfare in Laos. We address our research questions with an econometric framework that models the extraction and its implications simultaneously. We use the data of 430 rural households from a survey undertaken in 2013 in 38 villages of Savannakhet Province. Our findings show that extracting forest and water resources is a shock-coping strategy of rural households but contributes to reducing household income inequality. For extracting households, the extraction increases household income, consumption, and food security. However, for nonextracting households, although participating in the extraction would increase food security, it would reduce their income and consumption. We suggest that promoting rural education and off-farm employment opportunities and enhancing investments in physical infrastructures would reduce the extraction of and the dependence on the resources of extractors and prevent nonextractors from being forced to extract the resources.

show abstract

Farm production efficiency and natural forest extraction: Evidence from Cambodia

Cited by 35 publications

References 56 publications

Analysis of Factors Affecting the Technical Efficiency of Rice Farming in East Java Province

Analysis of Factors Affecting the Technical Efficiency of Rice Farming in East Java Province

Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014

Natural resource extraction and household welfare in rural Laos

Contact Info

Product

Resources

About