Extensification of agriculture and deforestation: Empirical evidence from Sudan

Abstract

Extensification of agriculture is one of the major factors contributing to the destruction of forcsts in Africa, In Sudan, such horizontal expansion comes at thc expcnse of land devoted to trccs and other vegetation, thcrcby inducing conditions that are inimical to sustainable agricultural production. Different factors have contributcd to cxtcnsification. Although high economie returns from crop (rnainly sorghum) production was an important factor encouraging extensification of rainfed mechanized farming, othcr factors outsidc agriculture have also contrihutcd to that expansion. This paper uses data l'rom eastern Sudan and an acrcage responsc model, to identify the most important factors influencing acrcage expansion. Different measures and forms of risk wcre uscd in the acrcagc rcsponse modcl, The paper shows how policies in the energy sector can indirectly influence ucrcugc expansion in the agricultural sector.

The potential of understorey plants from Gunung Gede Pangrango National Park (West Java, Indonesia) as cervixs anticancer agents

“…The expenditure for buying raw materials determines the amount of production cost and profit. This finding is relevant to the result of previous studies by Elnagheeb and Bromley (1994), Rusmadi (2005), Tijani (2006), and Larson and Plessmann (2009). The increase of raw materials cost leads to greater farmer expenditure which subsequently forces the decrease of paddy farm income.…”

Stochastic food prices and slash-and-burn agriculture

“…1994; Bromley 1990, 1991;Ehui and Hertel;Elnagheeb and Bromley;Pearce and Warford), while others have explored the interrelation between poverty, risk, and deforestation (Perrings) . But no one has yet explored how poverty and stochastic commodity prices jointly influence peasant deforestation.…”

Recent Asian forest transitions in relation to foresttransition theory

“…The crude nature of these proxies has limited the ability of researchers to quantify the directions and magnitude of the effects resulting from spatially explicit factors on farmer's choice of technology and on their allocation of resources. Examples of studies employing empirical estimations without explicit incorporation of the locations of objects include Southgate et al (1991), Elnagheeb & Bromley (1994), Godoy et al (1997), and Bergeron & Pender (1999). Deininger & Minten (2002) employ satellite imagery data and municipio-level census information aggregated to grids of one square kilometer to estimate a probit model for deforestation in Mexico.…”