High and persistent inflation has presented serious macroeconomic challenges in India in recent years, increasing the country’s domestic and external vulnerabilities. A number of factors underpin India’s high inflation. This book analyzes various facets of Indian inflation—the causes, consequences, and policies being implemented to manage it. Several chapters are devoted to analyzing and managing food inflation, given its significance in driving overall inflation dynamics in India.
Over the past decade, India has seen a prolonged period of high inflation, to a large extent driven by persistently-high food inflation. This paper investigates the demand and supply factors behind the contribution of relative food inflation to headline CPI inflation. It concludes that in the absence of a stronger food supply growth response, food inflation may exceed non-food inflation by 21⁄2–3 percentage points per year. The sustainability of a long-term inflation target of 4 percent under India’s recently-adopted flexible inflation targeting framework will depend on enhancing food supply, agricultural market-based pricing, and reducing price distortions. A well-designed cereal buffer stock liquidation policy could also help mitigate food inflation volatility.
One of the greatest global challenges today is ensuring widespread availability and equitable access to affordable, nutritious foods produced in an environmentally sustainable manner. A rich literature exists around the definition of a healthy diet and the drivers of dietary change. We contribute to this literature by proposing a new quantifiable diet deprivation measure estimated from standard household consumption and expenditure surveys. The Reference Diet Deprivation (ReDD) index measures the incidence, breadth, and depth of diet deprivation across multiple, essential food groups in a single indicator. Although useful as a standalone measure, we show how ReDD can be integrated into an economywide model to examine changes in household diet quality under different simulation scenarios. Using Nigeria as case study, hypothetical agricultural productivity growth scenarios reveal that dairy, pulses, fruit, and red meat value chains have the greatest potential to reduce overall diet deprivation in Nigeria per unit of GDP growth generated, while productivity growth in more widely consumed crops such as cereals and root crops do little to improve diet quality. These findings have implications for the prioritization of agricultural development initiatives aimed at improving the quality of diets. More generally, the integration of a diet quality indicator in an economywide model allows for a deeper understanding of the drivers of dietary change.
This book was originally pubished in 2000. China is the largest developing country in the world and is still heavily based on agriculture. Currently, about 70 per cent of China's total of more than one bilion people live in rural areas, and about half of the total national labour force is involved in agricultural activities. It is clear that agriculture is the foundation for the development of the Chinese national economy. Within agriculture, the grain economy is the most important sector: indeed it has been recognised as a treasure in managing the country by all past Chinese dynasties. Ensuring enough grain supply to meet the demands of such a huge population seems to be a long-term goal for the Chinese government and this book explores whether China will be able to produce enough grain to keep pace with its population increases.
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Agriculture, Rural Development, Food and Drug Administration, and Related Agencies
Using Scanner Data for Food Policy Research is a practitioners' guide to using and interpreting scanner data obtained from stores and households in policy research. It provides practical advice for using the data and interpreting their results. It helps the reader address key methodological issues such as aggregation, constructing price indices, and matching the data to nutrient values. It demonstrates some of the key econometric and statistical applications of the data, including estimating demand systems for policy simulation, analyzing effects of food access on food choices, and conducting cost-benefit analysis of food policies. This guide is intended for early-career researchers, particularly those working with scanner data in agricultural and food economics, nutrition, and public health contexts. - Describe different types of scanner data, the types of information available in the data, and the vendors that offer these data - Describe food-label data that can be appended to scanner data - Identify key questions that researchers should consider when acquiring scanner and label data for food policy research - Demonstrate how to use scanner data using tools from econometric and statistical analyses, including the limitations in interpreting results using the data - Describe and resolve key methodological issues related to using the data to facilitate more rapid analyses - Provide an overview of published literature as background for designing new studies - Demonstrate key applications of the data for food policy research
Giovanni Galizzi and Luciano Venturini The food industry has been characterized by several and profound changes in its structure and competitive environment in the last decades. Although it is not a research-oriented industry, there is no arguing that technological change and particularly product innovations are crucial determinants of ftrms' performance and In recent years food manufacturers have accelerated the consumers' welfare. development of new products, by using new ingredients, processing and packaging techniques. Thus, food markets are increasingly characterized by competitive environments where relevant flows of innovative products, quality improvements and new technologies provide new consumption trends, food habits, market opportunities and ftrms' strategies. However, the issue of product innovation in the food industries has been rather neglected by economists. Few works have explicitly addressed this issue. After the pioneering book of Buzzell and Nourse (1967), one can count few contributes. Connor (1981) examined the empirical determinants of new food products introductions. Padberg and Westgren (1979) provided crucial insights about the nature of food innovation through their notions of consumer inertia, technological redundancy and incremental product innovation. Some case-studies provide useful empirical materials, but they are generally sparse.
