Redirigiendo al acceso original de articulo en 15 segundos...
ARTÍCULO
TITULO

Applying a bioeconomic optimal control model to charcoal production: the case of slash-and-burn agriculture in Mexico

Fernando Arrocha    
Mauricio G. Villena    

Resumen

F. Arrocha, and M.G. Villena. 2012. Applying a bioeconomic optimal control model to charcoal production: the case of slash-and-burn agriculture in Mexico. Cien. Inv. Agr. 39(3): 489-504. This paper analyzes the relationship between rural poverty and forest land management for the case of charcoal production under slash-and-burn agriculture. An optimal control model is used to determine how a representative household makes decisions about the allocation of labor and about the forest areas to exploit. In turn, these decisions affect the renewable resource base available to the community. The proposed optimal control model for charcoal production is based on the Pascual and Barbier (2007) model of slash-and-burn agriculture. This theoretical model is calibrated with data from the community of Chunkanán, Campeche, Mexico. The simulation and comparison of the traditional slash-and-burn approach to forest management with the Forest Management Program for the Exploitation of Timber Resources (FMPETR), developed by the regulatory authority as a policy for the use and conservation of forest resources, showed that the traditional approach, but not the FMPETR, is sustainable from an ecological point of view and efficient from an economic point of view, implying that households allocate an optimal amount of labor and forest biomass. This result suggests that the FMPETR is a suboptimal policy and shows that there is room for improvement in terms of the design and implementation of policies aimed at providing economic and social incentives leading to the sustainable management of natural resources.

 Artículos similares

       
 
Hongyu Wang, Yiren Ding, Qiushuang Yao, Lulu Ma, Yiru Ma, Mi Yang, Shizhe Qin, Feng Xu, Ze Zhang and Zhe Gao    
Cotton yield estimation is of great practical significance to producers, allowing them to make rational management decisions. At present, crop yield estimation methods mainly comprise traditional agricultural yield estimation methods, which have many sho... ver más
Revista: Agronomy

 
Jiangtao Ji, Xiaofei Wang, Hao Ma, Fengxun Zheng, Yi Shi, Hongwei Cui and Shaoshuai Zhao    
Chlorophyll a and b content (Cab) and leaf area index (LAI) are two key parameters of crops, and their quantitative inversions are important for growth monitoring and the field management of wheat. However, due to the close correlation between the spectr... ver más
Revista: Agronomy

 
Zhongyu Yang, Zirui Yu, Xiaoyun Wang, Wugeng Yan, Shijie Sun, Meichen Feng, Jingjing Sun, Pengyan Su, Xinkai Sun, Zhigang Wang, Chenbo Yang, Chao Wang, Yu Zhao, Lujie Xiao, Xiaoyan Song, Meijun Zhang and Wude Yang    
Aboveground biomass (AGB) is a key parameter reflecting crop growth which plays a vital role in agricultural management and ecosystem assessment. Real-time and non-destructive biomass monitoring is essential for accurate field management and crop yield p... ver más
Revista: Agronomy

 
Xue Xie, Yulin Liao, Yanhong Lu, Jianglin Zhang, Peng Li, Youyun Tang, Weidong Cao, Yajie Gao and Jun Nie    
The excessive application of chemical fertilizers in rice fields exacerbates soil degradation and poses a threat to food security. Achieving an increase in rice production and minimizing environmental costs are inevitable requirements for achieving susta... ver más
Revista: Agronomy

 
Chunguang Bi, Shuo Zhang, He Chen, Xinhua Bi, Jinjing Liu, Hao Xie, Helong Yu, Shaozhong Song and Lei Shi    
Ensuring the security of germplasm resources is of great significance for the sustainable development of agriculture and ecological balance. By combining the morphological characteristics of maize seeds with hyperspectral data, maize variety classificati... ver más
Revista: Agronomy