2015年-世界发展银行全球_Food_Prices_Wages_and_Welfare_in_Rural_India_19页_463kb

Summary: Food Prices, Wages, and Welfare in Rural India

Core Content

This study examines the relationship between food prices, wages, and welfare in rural India, challenging conventional wisdom that rising food prices negatively affect the poor. The research is based on a general equilibrium framework that accounts for the complex interactions between agricultural prices, wages, and non-tradable goods prices. It highlights how rural households, particularly the poor, may actually benefit from higher agricultural prices due to increased wage income, even though they are not net sellers of food.

Main Viewpoints

• Higher Agricultural Prices Benefit the Poor: Contrary to traditional welfare analysis that only considers direct income effects, the study finds that rising agricultural prices lead to higher wages for manual labor, which in turn improves rural welfare.
• Wage-Price Elasticity is Key: The paper emphasizes the importance of estimating the wage-price elasticity to fully understand the welfare effects of changes in agricultural terms of trade.
• Non-Traded Goods Prices Respond to Agricultural Prices: In a multisector general equilibrium model, the price of non-tradable goods (such as services) increases with agricultural price changes, which has important distributional implications.
• District-Level Analysis is Critical: The study applies the general equilibrium framework at the district level, recognizing that different districts grow different crops and thus experience varying impacts from price changes.

Key Information

Model Overview

• The model includes three sectors: agriculture (A), manufacturing (M), and services (S).
• Each sector uses specific factors of production (capital, labor, and intermediate inputs) and produces tradable or non-tradable goods.
• The model assumes that labor is perfectly mobile across sectors, but its total supply is fixed within each district.
• The agricultural price index $P_A$ is defined as a value-weighted index of crop prices, using production value shares $s_j$.

Wage-Price Elasticity

• The wage-price elasticity $\psi$ is defined as the ratio of the proportional change in wage to the proportional change in agricultural price index:
  $$
  \psi \equiv \widehat{W} / \widehat{P}_A
  $$
• The elasticity is influenced by:
  • Sectoral labor shares $\beta_i$ (proportion of labor in each sector)
  • Input cost shares $\alpha_i$ (proportion of cost attributed to each input)
  • The elasticity of non-tradable prices with respect to agricultural prices, denoted $\delta$

Empirical Strategy

• The study uses a regression approach to estimate the wage-price elasticity at the district level:
  $$
  \Delta w_d / \Psi_d = c + \gamma \sum_j s_{d,j} \Delta p_j + \varepsilon_d
  $$
• Where:
  • $\Delta w_d$ is the change in log wages
  • $\Delta p_j$ is the change in log prices of crop $j$
  • $s_{d,j}$ is the production value share of crop $j$ in district $d$
  • $\gamma$ is the slope parameter, expected to be 1 under the null hypothesis
• The model is calibrated using data from India’s National Sample Survey (NSS) and includes 472 districts across 18 major states.

Findings

• High Elasticity: The estimated wage-price elasticity is high, with an average of $\overline{\psi} = 1.15$, indicating that wages are highly responsive to agricultural price changes.
• Impact of Intermediate Inputs: Intermediate inputs (e.g., fertilizer) significantly influence the elasticity. If intermediate inputs are excluded, the elasticity drops to 0.85.
• Sectoral Differences: The study finds that wage benefits from higher agricultural prices are similar across employment sectors, contrary to models that predict sector-specific effects.
• Non-Traded Goods Amplify Effects: The presence of a non-tradable sector (services) increases the wage-price elasticity, as higher wages reduce the supply of services and increase their demand, leading to higher service prices.

Distributional Implications

• Welfare Gains for All: Improved agricultural terms of trade benefit both rich and poor rural households, as wages rise across all sectors.
• Contradiction to Conventional Wisdom: Unlike partial equilibrium models, the general equilibrium approach shows that the poor are not necessarily harmed by rising food prices.
• Policy Relevance: The findings suggest that government interventions, such as export bans, may have unintended distributional consequences, particularly in the context of food price spikes like the 2007-2008 crisis.

Conclusion

This study is the first to apply the differential exposure approach specifically to the agricultural sector and the question of food-price crises. It demonstrates that higher agricultural prices can lead to significant wage increases, which in turn improve rural welfare. The paper also highlights the importance of considering non-tradable goods and intermediate inputs in welfare analysis, providing a more comprehensive understanding of the economic impacts of food price changes in rural India.