Sustainable Agriculture Systems and Technologies. Группа авторов

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Sustainable Agriculture Systems and Technologies - Группа авторов

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2.06 2.76 Meghalaya 2.27 6.73 Mizoram 3.42 3.81 Nagaland 3.00 1.62 Odisha 2.74 −0.40 Punjab 3.50 −5.42 Rajasthan 1.11 −1.21 Sikkim 2.54 −3.88 Tamil Nadu 1.30 1.19 Tripura 3.77 3.74 Uttar Pradesh 2.02 −1.92 Uttarakhand 2.78 −0.37 West Bengal 3.12 −1.85

      A scatterplot of the percentage of stunting and net state domestic product (NSDP) per capita, with the latter serving as a proxy for each state's per capita income in Figure 1.4b. In this case, the two variables show a negative association, with poorer states having a significantly higher percentage of stunting as compared with more prosperous states. The association though has a number of outliers. For instance, Cluster 1‐ Bihar, Uttar Pradesh, Jharkhand, Meghalaya, Uttar Pradesh, and Madhya Pradesh have much higher level of stunting as expected from states of their income level. While states like Manipur, Mizoram, Tripura, and Jammu Kashmir are positive deviants with much lower percentage of stunting as compared with states with similar income level. These are states with better sanitation, literacy, and care for pregnant women. This indicates that not only income but also other socioeconomic factors might also be major contributors. The association between the percentage of stunting and the rate of economic growth for each state is shown in Figure 1.4c, which shows not much strong relationship between the two variables. Meghalaya with negative growth rate in 2014–2015 has a high level of stunting 42% but so did states like Jharkhand, Bihar, Uttar Pradesh, and Madhya Pradesh with much higher growth rate as compared to Meghalaya. Goa and Mizoram have a much higher growth rate but the percentage of stunting is not low in these states. This gives a conclusion that growth rate of a state is weakly associated with states prevalence of malnutrition. Thus, it can be concluded that despite economic progress, India has to struggle to combat malnutrition that adversely affects the country's socioeconomic progress. This is not due to food scarcity but due to the lack of equitable distribution of the available food. Food security depends not only on crop production, but also on the policies that affect food systems, from farm to table (World Food Conference 1974). To improve the diet consumption of whole population, when there is an increasing growth rate and unbalanced growth of working sectors, injecting money is not the solution. There are other challenges like inequitable distribution of income, lack of awareness and access to healthy food, climate change, slowdown of economy, and lower income levels that threaten the hunger of the countrymen.

Schematic illustration of association of stunting prevalence with socio-economic indicators.

Schematic illustration of comparison 
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