Global issues in agricultural development

Rosegrant, Mark W.; Fan, Shenggen; Otsuka, Keijiro

doi:10.2499/9780896293830_02

Cited by 2 publications

(3 citation statements)

References 80 publications

(121 reference statements)

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“…It is likely that the cost of addressing these aspects of hunger in addition to caloriebased hunger would be considerably higher than the estimates here. As noted in Rosegrant et al (2021a), broader malnutrition problems, together with the continued transformation of food systems in developing countries, require wider-ranging approaches and interventions to improve nutritional outcomes than have been used historically. Reducing the impact of these factors would require changes beyond the agricultural sector, including planning, transportation, public health, food production, and marketing (Caballero, 2007;Ruel et al, 2017).…”

Section: Model and Analysis Limitationsmentioning

confidence: 99%

“…Innovations and investments in the value chain would improve the prospects for meeting the SDG2 and Paris Agreement targets. Infrastructure investments, including in rural roads, electricity cell phone towers, markets, cold chains, and processing facilities have important impacts on input and output markets, reduce marketing margins and post-harvest losses of food, thereby generating production and income gains and potentially significantly reducing hunger and reducing GHG emissions (Rosegrant et al, 2021a). Innovations and investments in the value chain can make the outputs of agricultural R&D investments more profitable for farmers and generate higher social returns to agricultural R&D investments.…”

Section: Model and Analysis Limitationsmentioning

confidence: 99%

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Global investment gap in agricultural research and innovation to meet Sustainable Development Goals for hunger and Paris Agreement climate change mitigation

Rosegrant

Sulser²,

Wiebe³

2022

Front. Sustain. Food Syst.

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This paper provides estimates of the global investment gap in agricultural research and development (R&D) and innovation. The investment gap is defined as the additional annual investments required to end hunger in 2030 (Sustainable Development Goal SDG2) and to put agriculture on the pathway to the Paris Agreement target for 1.5°C increase over pre-industrial temperature levels. The investment gap is projected relative to a reference scenario with projections to 2030 using an integrated economic-biophysical model of the global agri-food system. In addition to showing the impacts on hunger, the modeling results are used to simulate the effect of the gap-closing investments on greenhouse gas (GHG) emissions from agriculture. In addition to projecting the impacts of overall investment in agricultural R&D on productivity and environmental outcomes, the analysis assesses the contributions of different types of innovative technologies and farming systems to the environmental outcomes, especially technologies that contribute to sustainability outcomes. Sustainability-oriented technologies and management practices examined include conservation tillage, nitrogen-use efficiency, improved livestock management, and other climate-smart technologies. The projected results show that additional agricultural R&D investments of USD 4 billion per year above baseline investments together with USD 6.5 billion per year invested in technical climate-smart options, can reduce hunger to 5% globally and achieve 2030 GHG emission reductions consistent with the Paris Agreement 2°C and 1.5°C pathways to 2030.

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Section: Model and Analysis Limitationsmentioning

confidence: 99%

Section: Model and Analysis Limitationsmentioning

confidence: 99%

Global investment gap in agricultural research and innovation to meet Sustainable Development Goals for hunger and Paris Agreement climate change mitigation

Rosegrant

Sulser²,

Wiebe³

2022

Front. Sustain. Food Syst.

Self Cite

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“…At the beginning of the 1970s, Y. Hayami and V. Ruttan [5] formulated a model of induced technical change in which the development and application of new technology is endogenous to the economic system. In this model, alternative agricultural technologies are developed to facilitate the substitution of relatively abundant (and therefore cheap) factors for relatively scarce (and therefore expensive) added in the economy of the post-Soviet republics, but rather serves the flow of oligarchization processes from industry to agriculture.…”

mentioning

confidence: 99%

Labor productivity in the agriculture, structural shifts and economic growth in the Central and Eastern European countries

Bilenko

2022

Agric. resour. econ.

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Purpose. In our article, we assess the scope and directions of changes in agricultural labor productivity compared to other sectors of the economy. Methodology / approach. For our survey we choose 15 countries: (і) EU countries – Bulgaria, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia and Slovenia, as well (іі) post-Soviet European countries – Ukraine, Moldova, Belarus, russia and also (ііі) Albania for period 1996–2019. We use an empirical methodology designed to analyze structural decomposition of labor productivity into the growth effect within the sector and structural dynamic and static effects, often called ‘shift-share analysis’. We analyze process of convergence of sectoral labor productivity and its impact on economic growth. Results. Labor productivity grows in the agricultural sector of the economy at the fastest rate, on average by almost 12 % per year. The growth effects within the industry takes a dominant position in all sectors of the economy in the countries of Central and Eastern Europe and its share is on average 88.5 %, and the structural effects are as follows: the dynamic effect is almost 1%, the static effect is 10.4 %. We have confirmed that the agricultural sector is gaining weight in the economic growth of the countries of Central and Eastern Europe, the influence of the service sector is increasing, although together they do not exceed the influence of the growth of value added in industry. Originality / scientific novelty. For the first time we have used the methodology of decomposition of labor productivity growth into three effects: growth, dynamic and static ones for the period before the financial crisis 2008 and after the crisis for 15 countries of Central and Eastern Europe. Using panel GLS estimator with fixed effects we estimate the impact of labor productivity on economic growth in different sectors for 1991–2020 period. Practical value / implications. The main results of the study can be used for elaboration of effective economic policy in agriculture development in Central and Eastern European countries; for identification of structural shifts in labor productivity in different sectors of the economy before and after the financial crisis; for estimation of the level of convergence between different sectors of the economy; determining main factors of increasing value added in agriculture in Ukraine and other Central and Eastern European countries; implementation structural changes in economy in the period of crisis.

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Global issues in agricultural development

Cited by 2 publications

References 80 publications

Global investment gap in agricultural research and innovation to meet Sustainable Development Goals for hunger and Paris Agreement climate change mitigation

Global investment gap in agricultural research and innovation to meet Sustainable Development Goals for hunger and Paris Agreement climate change mitigation

Labor productivity in the agriculture, structural shifts and economic growth in the Central and Eastern European countries

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