Arbeitspapier
Global population growth, technology and Malthusian constraints: A quantitative growth theoretic perspective
How much will the global population expand, can all these extra mouths be fed, and what is the role in this story of economic growth? We structurally estimate a two-sector Schumpeterian growth model with endogenous population and finite land reserves to study the long-run evolution of global population, technological progress and the demand for food. The estimated model closely replicates trajectories for world population, GDP, sectoral productivity growth and crop land area from 1960 to 2010. Projections from 2010 onwards show a slowdown of technological progress, and, because it is a key determinant of fertility costs, significant population growth. By 2100 global population reaches 12.4 billion and agricultural production doubles, but the land constraint does not bind because of capital investment and technological progress.
- Sprache
-
Englisch
- Erschienen in
-
Series: IRENE Working Paper ; No. 16-05
- Klassifikation
-
Wirtschaft
Macroeconomic Analyses of Economic Development
Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
Demographic Trends, Macroeconomic Effects, and Forecasts
Forecasting Models; Simulation Methods
Optimization Techniques; Programming Models; Dynamic Analysis
Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
Renewable Resources and Conservation: Land
Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
- Thema
-
Global population
Technological progress
Economic growth
Agriculture
Malthusian constraints
Land conversion
Structural estimation
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Lanz, Bruno
Dietz, Simon
Swanson, Tim
- Ereignis
-
Veröffentlichung
- (wer)
-
University of Neuchâtel, Institute of Economic Research (IRENE)
- (wo)
-
Neuchâtel
- (wann)
-
2016
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Lanz, Bruno
- Dietz, Simon
- Swanson, Tim
- University of Neuchâtel, Institute of Economic Research (IRENE)
Entstanden
- 2016