Sustainable Agricultural Development Economics and Policy

The sustainable development of agriculture is not only dependent on economics and policy but also relies on decisions to increase sustainability through either (1) specialization (e.g., sustainable intensification) or (2) diversification (e.g., ecological intensification). Understanding the historic...

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Bibliographic Details
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
GIS
n/a
QAP
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
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720 1 |a Hoshide, Aaron K.  |4 edt 
720 1 |a Hoshide, Aaron K.  |4 oth 
245 0 0 |a Sustainable Agricultural Development Economics and Policy 
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520 |a The sustainable development of agriculture is not only dependent on economics and policy but also relies on decisions to increase sustainability through either (1) specialization (e.g., sustainable intensification) or (2) diversification (e.g., ecological intensification). Understanding the historical context of the region being evaluated is critical to selecting ideal development strategies. Depending on the emphasis on either specialization or diversification, sustainable development can follow different pathways. Specialization during agricultural development is typically concentrated in specific geographic areas with comparative advantages in terms of agricultural production. However, tradeoffs to agricultural specialization include greater reliance on purchased external inputs, greater dependence on government support, and international and interregional interdependence. Addressing the economic and environmental challenges of specialized agricultural production requires a focus on detailed models and field experiments to help balance productivity with reduced environmental impacts. Diversification can incorporate both enterprise diversification as well as ecological intensification strategies, such as integrating livestock and agroforestry with crops. Despite the promises of maintaining the diversity of small shareholders in the developing world, challenges remain. Regional case studies can be used to inspire and implement diversified agricultural systems for the creation of more sustainable future food systems around the world. 
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650 7 |a Development economics and emerging economies  |2 bicssc 
653 |a "Belt and Road" 
653 |a affecting factors 
653 |a agri-food supply chain 
653 |a agricultural development 
653 |a agricultural economic cycle 
653 |a agricultural education 
653 |a agricultural frontier 
653 |a agricultural mechanization 
653 |a agricultural policies 
653 |a agricultural producers 
653 |a agricultural professionals 
653 |a agriculture products 
653 |a agriculture total factor productivity (TFP) 
653 |a agrometeorological modeling 
653 |a almond nuts 
653 |a Amazon 
653 |a Amazonia 
653 |a available water capacity 
653 |a beef 
653 |a binary outcome models 
653 |a Brazil 
653 |a Cerrado-Amazon 
653 |a child health 
653 |a China 
653 |a climate change 
653 |a commercialization potential 
653 |a conservation status 
653 |a consumers' food preference 
653 |a content-based analysis 
653 |a contingent valuation 
653 |a crops 
653 |a cultivars 
653 |a deforestation 
653 |a determinants 
653 |a diversity indexes 
653 |a ecological forest ranger 
653 |a ecotypic seed 
653 |a edible beans 
653 |a education and learning processes 
653 |a egg-producing farmers 
653 |a environmental impact 
653 |a environmental impacts 
653 |a export demand 
653 |a farm irrigation facilities 
653 |a fast growing tree plantations 
653 |a feed brand loyalty 
653 |a fuzzy set 
653 |a geoprocessing 
653 |a GIS 
653 |a Google Earth Engine 
653 |a government grants 
653 |a greenhouse gases 
653 |a healthier soils 
653 |a high quality 
653 |a human food 
653 |a hydraulic conductivity 
653 |a hydro-sedimentology 
653 |a improved germplasms 
653 |a increased stand wood biomass 
653 |a industry chain 
653 |a influencing factors 
653 |a inherently nutrient-poor soil 
653 |a land conversion 
653 |a land use 
653 |a livelihood 
653 |a livestock breeds 
653 |a livestock intensification strategies 
653 |a logistic regression 
653 |a Maine 
653 |a mapping 
653 |a market prospects 
653 |a media coverage 
653 |a multilevel model 
653 |a multiple linear regression 
653 |a n/a 
653 |a native plant material 
653 |a non-conventional vegetable 
653 |a off-farm 
653 |a Opuntia stricta 
653 |a organic production 
653 |a partial least square (PLS) 
653 |a planting behavior 
653 |a policy 
653 |a policy satisfaction 
653 |a pollinators 
653 |a pore distribution curve 
653 |a principal component analysis 
653 |a purchasing power 
653 |a QAP 
653 |a qualitative comparative analysis 
653 |a questionnaires 
653 |a R&D investment 
653 |a rainfall simulator 
653 |a reduced mowing 
653 |a reflectance 
653 |a retaliatory tariff policy 
653 |a retention curve 
653 |a roadside vegetation 
653 |a rural development 
653 |a rural economy 
653 |a rural extension 
653 |a satellite imagery 
653 |a satellite images 
653 |a social networks 
653 |a soil conservation 
653 |a soil erosion 
653 |a soil texture 
653 |a soluble solids 
653 |a southern Amazon 
653 |a spatiotemporal distribution 
653 |a statistical model 
653 |a structural equation model (SEM) 
653 |a sugarcane 
653 |a supervised classification 
653 |a sustainability 
653 |a sustainability trade-offs 
653 |a sustainable 
653 |a sustainable development goals 
653 |a switching behavior of egg producers 
653 |a Targeted Poverty Alleviation Strategy 
653 |a technical advancement 
653 |a technological innovation in agricultural enterprises 
653 |a Teles Pires River 
653 |a territorial dynamics 
653 |a trade structure 
653 |a wage employment 
653 |a water erosion prediction 
653 |a watershed 
653 |a WEPP parameters 
653 |a yield prediction 
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856 4 0 |u https://mdpi.com/books/pdfview/book/7594  |7 0  |z Open Access: DOAB, download the publication