Intensification of climate-smart agriculture technology in semi-arid regions of India

Technology adoption has been proven to be an efficient way to improve agricultural productivity as well as farmers’ income across the semi-arid regions of the globe. However, an upcoming method to improve food and livelihood security is through sustainable technology intensification. The study tries to assess the impact of climate-smart agriculture (CSA) technology intensification on farmers’ income using inverse probability weighted regression adjustment method. The results show a rise in average income for high intensified farmers in comparison to the low intensified farmers. The results also show a rise in income for CSA intensified farmers in comparison to the farmers adopting only improved technologies. Therefore, technology intensification of CSA technologies has been found to be an effective way in ensuring income security to the farmers

Anatomy of Non-Tariff Barriers in India-Lanka Free Trade Agreement

This paper attempts to answer one crucial research question, why the utilization of India Sri Lanka Free Trade Agreement (ISFTA) route for trade is very poor by the India exporters (13%) as compared to their Sri Lankan Counterpart (65%) even after one decade of its implementation? The available studies have blamed the non-tariff barriers (NTBs) which are hamstringing growth of trade between these partners development of international trade. However, these have considered NTBs as sub set of non-tariff measures (NTMs) which are quite narrow sense of finding the hidden barriers within the International trade process. Therefore, this paper has analyzed in detail the logistic process involved in international trade between India and Sri Lanka to understand various NTBs sheltered within this logistic process. Further, the paper has identified issues which are not directly beyond the logistic process which are affecting the international trade between these two countries

Climate change induced salinity intrusion and its implications for agriculture

An estimated 1.06 million hectare of arable land in Bangladesh and 6.7 million hectares in India is affected by salinity (Rabbani 2013). Salinity intrusion adversely affects the livelihoods of farmers, especially rice cultivators and fisherfolks, vegetations, soil quality, and infrastructure in these areas (Habiba et al. 2014). The net cropped area in coastal Bangladesh has been decreasing over the last few years due to several factors and many studies have identified salinity as the chief cause for yield reduction in coastal agriculture (Baten 2015). Groundwater contamination due to saline water and similar adverse impacts on agriculture and livelihoods are also increasing in coastal India, especially in Kerala, Karnataka, Odisha, and Andhra Pradesh (Naidu et al. 2013). The extent and intensity of salinity in the coming years are likely to increase due to climate change induced saltwater intrusion

Nepal: Impacts of the Ukraine and global crises on poverty and food security

Global food, fuel, and fertilizer prices have risen rapidly in recent months, driven in large part by the fallout from the ongoing war in Ukraine and the sanctions imposed on Russia. Other factors, such as export bans, have also contributed to rising prices. Palm oil and wheat prices increased by 56 and 100 percent in real terms, respectively, between June 2021 and April 2022, with most of the in-crease occurring since February (Figure 1)

Impact of laser land levelling on food production and farmers’ income: Evidence from drought prone semi-arid tropics in India

Climate change has brought large instabilities in agricultural systems, in terms of both crop yield and net farm income. Climate smart agriculture is one of the innovative methods that tries to build resilience in agricultural systems. A study is conducted in Raichur district of Karnataka state in India to assess the impact of adoption of laser land levelling (LLL), a climate smart agriculture technology, on crop yield and farmers’ income. A primary survey was conducted in 2018 among 604 paddy growing farmers in Raichur district. The study provides results based on both qualitative and quantitative analysis of the data. The study examines farmers’ perceptions about climate change and effectiveness of LLL. Statistically, the results are evaluated using econometric methods like propensity score matching, coarsened exact matching, and endogenous switching regression. Advanced econometric methods are adopted to check for the problem of unobserved endogeneity. Adoption of laser land levelers increased crop yield by 0.5 tonnes/hectare and net farm income by Rs. 5000 per annum. Further, farmers observed drought as the most extreme climatic event which resulted in heavy crop loss to them. Lastly, farmers revealed that adoption of LLL reduced cost of cultivation and limits crop loss due to climate variability.Non-PRIFPRI1; CRP7; 1 Fostering Climate-Resilient and Sustainable Food Supply; 2 Promoting Healthy Diets and Nutrition for all; 3 Building Inclusive and Efficient Markets, Trade Systems, and Food IndustrySARCGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS

2017/18 Social Accounting Matrix for India

The purpose of this document is to provide Social Accounting Matrix (SAM) database for Indian Economy for the year 2017-18. This SAM accounts 112 sectors of Indian economy of which 39 sectors are accounted for agriculture and allied activities, 18 sectors are related to agriculture based processing activities, 4 mining sectors, 24 manufacturing sectors other than agro-processing, 3 sectors related to utilities, 1 construction sector and 23 service sectors including transport and trade. The primary factor input has been classified into 8 types of labor, 4 types of capital and one category of land. The categorization of labor is based on the level of education of the workers and geographical location i.e. rural and urban. The 4 types of capital are; crop, live animal, mining and other financial capital. This SAM distinguishes households into three broad categories like, rural farm households, rural non-farm households and urban households. Households are further disaggregated into per capita expenditure quintiles. Therefore, this database is useful for the scholars and policy makers who are interested to work on macroeconomic policy analysis for Indian economy.Non-PRCRP2; Open Access; IFPRI1; Nexus SAMs; SAM; NexusDSGD; PIMCGIAR Research Program on Policies, Institutions, and Markets (PIM

Climate smart agriculture in South Asia: Technologies, policies and institutions

PRIFPRI5; DCA; CRP7SARCGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS

Economic cost of the lockdown

The Indian economy will face an income loss of Rs 1.7 lakh crore per week or a total of Rs 5.1 lakh crore during the three-week-long shutdown called by the Govt.Non-PRIFPRI5; DCASA

Do improved agricultural practices boost farm productivity? The evidence from Karnataka, India

PRIFPRI3; CRP2SAR; PIMCGIAR Research Programs on Policies, Institutions, and Markets (PIM

Prioritizing climate-smart technologies in agriculture: A case study in Madhya Pradesh, India

PRIFPRI4; DCA; CRP7SARCGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS