Environmental problems have accompanied the accelerated land use and land cover change (LULCC), yet few local level studies make an attempt to assess the dynamics of LULCC. This work employed GIS and remote sensing to quantify the past and predict future dynamics of LULCC based on the synergy Cellular Automata (CA) - Markov Chain Model (MCM).
AbstractThis study complements the extant literature by assessing the role of governance dynamics in food security in Ghana for the period 1980–2019. The empirical evidence is based on the fully modified ordinary least squares technique and governance is categorized into political (entailing political stability and voice and accountability), economical (consisting of regulatory quality and government effectiveness), and institutional (entailing corruption‐control and the rule of law) governance dynamics. The study finds that the engaged governance dynamics improve food security in Ghana.
The promotion of cocoa farm productivity has necessitated the intensification of input use with ensuing loss of natural pollinators. Ghana Cocoa Board’s (COCOBOD) remedy to declining pollinator population is addressed in the rolling out of hand pollination in the 2016/17 crop year. Applying contingent valuation on field data covering 608 farmers in five cocoa growing regions, we estimate the value of pollinator services to the cocoa industry in Ghana and farmers willingness to pay for the service.
AbstractRegional trade agreements (RTAs) have experienced significant growth worldwide, leading to an increase in studies assessing their impact on bilateral trade flows. With the availability of disaggregated trade data, numerous studies have examined the influence of these agreements specifically on agri‐food trade. However, the results of these studies exhibit heterogeneity, posing challenges for policymakers seeking to understand the effects of RTAs on agri‐food trade.
AbstractThe COVID‐19 pandemic profoundly affected food security by disrupting supply chains through border closures Our study concentrates on South Asia and examines the interplay between COVID‐19, agri‐food trade, and inflation using monthly panel data spanning 2018–2021. Our findings demonstrate that the pandemic notably escalated food inflation in the region. Nevertheless, the robust interaction of agri‐food trade with COVID‐19 helped alleviate this effect. This underscores the significance of trade policies in controlling food inflation during the pandemic in South Asia.
An enabling, evidence-based decision-making framework is critical to support agricultural biotechnology innovation, and to ensure farmers’ access to genetically modified (GM) crops, including orphan crop varieties. A key element, and often a challenge in the decision-making process, involves the balancing of identified potential risks with expected economic benefits from GM crops. The latter is particularly challenging in the case of orphan crops, for which solid economic data is scarce.