Price Endogeneity and Food Demand in Urban China

Price endogeneity has been ignored in previous analyses of food demand in urban China. We exploit data provided by the China National Bureau of Statistics on agricultural commodity supply shifters and use reduced‐form price equations to account for price endogeneity. Applying our unique econometric approach to the analysis of provincial‐level food demand in China, we find strong statistical evidence of price endogeneity. Models that ignore price endogeneity result in substantially biased elasticities and misleading estimates of future food demand in China.     

An econometric analysis of demand for food quantity and quality in urban China

This article offers an analytical framework for studying consumer demand for food quality based on a theory‐consistent demand model, namely, the Exact Affine Stone Index specification. Importantly, it accounts for unobserved consumer and regional heterogeneity, and allows for arbitrary Engel curves. The empirical value of our framework is illustrated in an econometric analysis of demand for food quality in China. Evaluating possible structural changes in consumer food expenditures in China is of paramount importance, given the ever‐increasing global role of China and the implications of the structural food preference changes for the global food system. The major findings emerging from this study indicate that income is an important determinant of demand for food quality and quantity with the relatively more affluent provinces having a higher affinity for food quality.     

Food commodity price changes and consumer welfare in Bangladesh: Valuable lessons for today

The recent rise in global food prices threatens many countries worldwide, especially the vulnerable populations. Viable coping strategies can only be designed based on the important policy lessons learned from the experiences of these countries in confronting the similar shocks of 2007–2011. However, the disproportionate effects of these events and the impacts of policy responses remain largely unexplored. We examine the impact of a food price surge and the effectiveness of various mitigating policies in Bangladesh, one of the most populous, densely populated countries in the world that is plagued by poverty. Specifically, we combine individual-level expenditure survey data with recent advances in consumer theory to examine the welfare consequences across income groups and geographic areas of the country over 2000–2016. Our empirical findings lend support to the hypothesis that the brunt of the price surge was borne by relatively less affluent and rural households, and government poverty alleviation programmes were largely ineffective.     

Quantifying the structure of food demand in China: An econometric approach

This article examines food demand structure and its dynamics for 11 commodities in urban China. The analysis is based on household‐level expenditure survey data for two cross‐sectional surveys of Chinese households pertaining to food expenditure patterns during 1995 and 2003. Pre‐committed components of commodity demands, that are insensitive to economic variables, are explored. We use the generalized quadratic almost ideal demand system (GQAIDS) for its empirical superiority to the generalized almost ideal demand system (GAIDS), and estimate the associated parameters via full information maximum likelihood procedure (FIML) accounting for endogeneity of total expenditures on food for home consumption (FAH). We also use quality‐adjusted commodity unit values to control for quality differences resulting from commodity aggregation and food choice. Furthermore, we derive GQAIDS elasticity formulas, and estimate income elasticities without restrictions. The results partially support the hypothesis that an average Chinese household has incorporated elements of Western diet (fine grains) into traditional Chinese food diet over time. Moreover, the outcome of a simple test developed here points to possible preference changes for a majority of food staples under study.     

Structural change in urban Chinese food preferences

We undertake a range of tests for structural food preference change in urban China, using provincial‐level panel data from 2002 to 2010. We introduce a time transition function into the Generalized Quadratic Almost Ideal Demand System (GQAIDS) to represent consumer preferences. We apply this system to evaluate the demand structure for seven food groups. The use of the GQAIDS specification relaxes many empirical demand system restrictions associated with previous analyses of structural preference change. Our findings suggest that Chinese food preferences are continuing to evolve.     

Using panel VAR to analyze international knowledge spillovers

Technology diffusion often plays a critical role in models of trade and economic growth. Most existing empirical tests for international technology spillovers suggest some role for spillovers in explaining productivity growth. It has been relatively difficult, however, to identify separate roles for the direct and indirect channels of knowledge spillovers. The influence of these channels is often confounded owing to the focus on total‐factor productivity (TFP) and R&D spending within a cross‐section or panel data setting. This paper employs an alternative methodology to investigate the role of direct knowledge spillovers. Using citation‐weighted domestic patents, citation‐weighted foreign patents and value added for 14 U.S. manufacturing industries over the period 1977 to 2004 a panel VAR methodology is employed to investigate the dynamic role of direct and indirect knowledge spillovers. Evidence for the role of the direct knowledge spillovers channel is found—an increase in citation‐weighted patents abroad directly increases the measure of domestic citation‐weighted patents, after accounting for the influence of productivity/value added. The role of foreign innovative activity, however, is small relative to the role of U.S. innovative activity in explaining the dynamics of industry value added.     

A structural model of cost pass-through: the case of the US yogurt retailing

We provide a structural framework for retail cost pass-through based on a neoclassical inverse demand model and retail profit maximization conditions. Unlike previous literature where game-theoretic structures are imposed on cost pass-through, our framework allows for estimating cost pass-through and the degree of market competition simultaneously. Further, our model incorporates potential cross-brand effects representing demand substitution and strategic complementarity effects. Our model supplements the traditional reduced-form approach to pass-through and is applicable in environments, where the lack of brand-level cost data renders reduced-form analysis infeasible. The empirical value of our model is illustrated in an econometric analysis of retail pass-through for national and store brand yogurt. Our results indicate that: (1) market competition has a positive impact on own-brand cost pass-through, especially for national brands, and (2) overlooking cross-brand effects results in biased own-brand pass-through estimates. Finally, we provide a graphical illustration of the relationship between cost pass-through and market competition.     

Earnings losses of displaced workers in times of crisis

We utilize data from the 1979 National Longitudinal Survey of Youth and the Bureau of Labor Statistics to study how the earnings losses experienced by displaced workers vary in times of economic crisis. Relative to an economy that operates at full potential, our results show that a 1% increase in the real gross domestic product gap observed at the time of displacement is associated with an additional increase in the estimated earnings losses experienced by displaced workers of approximately 4.3% in the year immediately following displacement, and with similar increases in the estimated losses for up to 5 years after.