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Correlation between Potential and Actual Crop Yields. 

Correlation between Potential and Actual Crop Yields. 

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This research explores the origins of the distribution of time preference across regions. It ad-vances the hypothesis, and establishes empirically that geographical variations in the natural re-turn to agricultural investment have had a persistent effect on the distribution of time preference across societies. In particular, exploiting a natural ex...

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... coffee, cotton, cowpea, dry pea, flax, foxtail millet, greengram, groundnuts, indigo rice, maize, oat, oilpalm, olive, onion, palm heart, pearl millet, phaseolus bean, pigeon pea, rye, sorghum, soybean, sunflower, sweet potato, tea, tomato, wetland rice, wheat, spring wheat, winter wheat, white potato, yams, giant yams, subtropical sorghum, tropical highland sorghum, tropical lowland, sorghum, white yams. 18 The choice of rain-fed conditions is further justified by the fact that, although some societies had access to irrigation prior to the industrial revolution, GAEZ's data only provides estimates based on irrigation infrastructure available during the late twentieth century. 19 In case of hibernating crops, the growth cycle captures the days elapsed from onset of post-dormancy period to full maturity. 20 This paper uses revision 25 accessed on October 29, 2013. Data can be accessed at http://www.ars.usda.gov/Services/docs.htm?docid=23635. Using these grids, the research constructs estimates for the average regional crop yield and the average regional crop growth cycle (over grid cells in a region), that reflect the average regional levels of these two variables among crops that maximize the caloric yield in each cell. Since a sedentary community is unlikely to exist in a region in which the caloric yield is zero, the analysis focuses on regional level averages across cells where the maximum potential crop yield is positive. 21 Figure 3 depicts the distribution of potential crop yield and growth cycle across global 5 × 5 grids for crops available pre-1500CE. 22 Each cell in Figure 3 Figure 4 shows the correlation between the post-1500CE potential crop yield and growth cycles across countries. There is a strong positive correlation between these country level averages with a Pearson correlation coefficient of 0.78 (p < 0.01). This figure epitomizes that "Trees that are slow to grow, bear the best fruit" Molì ere). 21 The results of the empirical analysis are robust to the inclusion of cells with no potential yield as shown in table B.14 in the appendix. 22 Table A.2 in the appendix shows the global distribution of crops pre-1500CE. Importantly, potential crop yield is positively correlated with actual crop yield at the cell level ( Figure 5) and thus potential crop yield serves as a proxy for actual crop yield without subjecting the analysis to the concern of reverse causality. 23,24 Figure 6 shows for each cell in the world the highest yield producing crop in the pre-and the post-1500CE era. It is apparent that: (i) few crops dominated each continent in pre-1500CE era, (ii) in the post-1500 era the number of crops expands dramatically, and (iii) the expansion in available crops changes the highest yield producing crop in most regions of the world. 25 ...

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... The Caloric Sustainability Index is another instrument for the robustness analysis. It is an indicator of the agricultural potential gauged which is defined the caloric yield that has been available for cultivation in the period after 1500 (Galor and Özak, 2016). The theoretical reasoning behind using this instrument is that low suitability for agriculture is associated with higher degrees of cooperation and the collective actions that are required for planning and harvesting (Ashkanasy et al., 2004;Gaganis et al., 2019, Meggers, 1954. ...
... Latitude is measured as the absolute latitudinal distance from the community to the equator, which is available in the LITS. The Caloric Suitability Index is available from Galor and Özak (2016). ...
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... Third, the concern about endogeneity is further addressed by treating Crop Yield as instrumental variable through 2SLS estimation (Galor and Özak, 2016;Galor et al., 2017), which is rare consideration reflected in cultural studies, especially cultural-insurance studies (Chui and Kwok, 2008;Park and Lemaire, 2012). While the likelihood of reverse causality of language characteristics and life insurance consumption is extremely low, because language characteristics is stable over time, the estimation bias due to omitted variables can still result in erroneous results. ...
... In this regard, we further employ instrument variable approach to address J o u r n a l P r e -p r o o f Journal Pre-proof endogenous problems. Galor and Özak (2016) document that the positive effect of pre-1500 CE crop yield on the long-term orientation. Also, Galor et al. (2017) assert that the existing cross-language differences in future tense structure can be attributed to variations in pre-industrial geographic features that promoted greater agricultural returns. ...
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... Therefore, there is hump-shaped relationship between genetic diversity, which is directly related to geography, and comparative development. Another influential paper on geographic factors and economic development is by Galor and Ozak (2016), who argue that time preferences and long-term orientation are affected by geography. They use the expansion of suitable crops for cultivation during the Columbian Exchange to establish that pre-industrial agro-climatic characteristics implying higher return to agricultural investment and have triggered selection, adaptation, and learning processes which have generated a persistent positive effect on the prevalence of long-term orientation in the modern period. ...
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... One includes "thrift, saving money and things." This can be used as a proxy for respondents' time preferences (Galor & Özak, 2016, Wuepper, 2020. ...
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... Third, the concern about endogeneity is further addressed by treating Crop Yield as instrumental variable through 2SLS estimation (Galor and Özak, 2016;Galor et al., 2017), which is rare consideration reflected in cultural studies, especially cultural-insurance studies (Chui and Kwok, 2008;Park and Lemaire, 2012). While the likelihood of reverse causality of language characteristics and life insurance consumption is extremely low, because language characteristics is stable over time, the estimation bias due to omitted variables can still result in erroneous results. ...
... In this regard, we further employ instrument variable approach to address endogenous problems. Galor and Özak (2016) document that the positive effect of pre-1500 CE crop yield on the long-term orientation. Also, Galor et al. (2017) assert that the existing cross-language differences in future tense structure can be attributed to variations in pre-industrial geographic features that promoted greater agricultural returns. ...
... The pre-1500 CE crop yield Galor and Özak (2016) ...
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... 9 Recent contributions in this literature establish that the forces of natural selection that operated in the Malthusian epoch selected traits that were complementary to the growth process and contributed ultimately to the transition from pre-industrial stagnation to modern economic growth. In particular, Galor and Moav (2002) and Galor and Klemp (2019) demonstrate the selection of the growth-enhancing predisposition towards child quality during the Malthusian regime, Galor and Michalopoulos (2012) demonstrate the rise in the prevalence of entrepreneurial spirit, and Galor and Ozak (2016) highlight the emergence of futureoriented mindset. 10 This study complements the interesting studies in this literature by developing a Malthusian model with natural selection of human species (with differences in fertility cost, fertility preference, hunting productivity and labor supply) to explore human evolution. ...
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