Reprint

Agricultural Land Management to Meet Future Global Food Demand

Edited by
March 2024
266 pages
  • ISBN978-3-7258-0539-6 (Hardback)
  • ISBN978-3-7258-0540-2 (PDF)

This book is a reprint of the Special Issue Agricultural Land Management to Meet Future Global Food Demand that was published in

Business & Economics
Environmental & Earth Sciences
Summary

In the 21st century, global agriculture is facing two major competing issues, urgently calling for us to investigate the nexus of land–food–climate. First, food production will need to substantially increase to meet the growing demand of a larger and wealthier population. Moreover, climate change, urbanization, and several other drivers are posing challenges to food production. Farmers can increase food production either by expanding their land area or by raising existing agricultural land productivity. Given the limited cultivatable land, and high socio-economic and ecosystem costs of clearing more land for agriculture, the prospect of expanding agricultural land is almost non-existent. Therefore, it is vital to raise crop yields on existing farmlands by adopting sustainable land management practices. Several social, economic, demographic, and biophysical factors can affect the implementation of land management practices in different agricultural production systems. Consequently, the design and implementation of location-specific land management practices that can enhance crop yields while minimizing adverse environmental impacts are important and require further research and investigation. In this Special Issue, we invited manuscripts that address research issues including the following: Sustainable intensification of agricultural land; Modeling agricultural systems and food production; Design and implementation of land management practices; Economic analysis of agricultural interventions; Adoption and diffusion of agricultural technologies; Environmental benefits of land management practices.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
agricultural water use efficiency; undesirable super-efficiency SBM model; vector autoregression (VAR) Granger causality test; social network analysis (SNA); spatial correlation network; food waste; norm activation model; self-efficacy; restaurant; land carrying capacity; load on land resources; food supply–demand balance; spatio-temporal patterns; Tibet; Färe–Primont TFP index; technical-, scale- and mix-efficiency changes; climate change; socio-economic factors; determinants; multivariate Tobit model; major grain-producing areas; crop production; food security; China; economic growth; cultivated land pressure; food security; Kuznets curve; agri-environmental indicators; fertilizer use; European Green Deal; CAP 2023–2027; ecological agriculture; sustainable development; spatial distribution pattern and evolution; Geodetector; influencing mechanism; livestock products; gravity model; virtual water; virtual land; economic distance; close spatial distance; long spatial distance; clan network strength; clan network density; written contract; oral contract; farmland transfer; distance to urban centers; off-farm employment; planting structure; village-level data; agricultural development; financial support for agriculture; agricultural subsidies; land fragmentation; agricultural total factor productivity; farm typology; fuzzy cognitive mapping; network analysis; resource trade-off; technology upscaling; Sundarbans; zero-tillage potato