Browsing by Author "Cheng, Zhen"
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- Adoption and Impacts of Potato Variety Cooperation 88 (C88) in Yunnan, China: A Multi-dimensional AssessmentMyrick, Stephanie; Qin, Junhong; Pradel, Willy; Li, Canhui; Suarez, Victor; Cheng, Zhen; Hareau, Guy; Larochelle, Catherine; Alwang, Jeffrey R. (2018-05-29)
- Essays on Agricultural and Regional DevelopmentCheng, Zhen (Virginia Tech, 2019-08-02)In a world of imbalance, food consumption exhibits great diversity among regions and countries. Although farmers in developed economies benefit from up-to-date agricultural technology and produce much more than they consume, households in the developing world are still combating food insecurity. This dissertation is composed of two manuscripts. One is about consumption in developing countries, while the other is related to promoting agricultural production in a developed economy. Chapter 1 applies a three-stage demand system to nationally representative household survey data to identify food demand behavior with an emphasis on food staples in two West Africa countries ‒ Niger and Nigeria. The third stage of the demand system offers demand elasticities of specific staple items. Instead of treating the population as a whole, the study distinguishes rural and urban households and households of different welfare status. Results confirm the complexity of the food and staples demand between rural/urban areas and among welfare quintiles. Therefore, researchers and policymakers should consider not only the average demand response but also its distribution among households. In addition to demand elasticities, the effects of household demographic characteristics on the structure of food consumption are also obtained. Chapter 2 estimates the rates of return to Virginia's public expenditure on agricultural research and extension (RandE) during 1949-2016 and attempts to address the ad hoc model selection problem common in previous studies. Among the econometric modeling strategies in previous literature, Bayesian Model Averaging (BMA) and Bayesian Hierarchical Model (BHM) are two promising methods to solve the issue of model uncertainty. The rate-of-return estimates by BHM are preferable because BHM imposes fewer restrictions on lag structures and offers more reasonable lag shapes. By BHM, the internal rates of return (IRR) of Virginia's public expenditures on agricultural RandE are 26% and 42%, respectively. Nineteen percent of Virginia's agricultural productivity growth during 1949-2016 results from its RandE investments, and the contribution of research to that growth is about twice of that of extension. One extra million dollar expenditure on research in 1992 would have brought a benefit of $4.5 million, and the same expenditure in 1983 would have brought $5.4 million in additional benefits. If the extra expenditure is spent on extension, it would have brought a benefit of $6.1 million and $6.3 million if the expenditure occurs in 1992 and 1983, respectively. Besides the modeling strategy, this study is distinguished from previous studies in that distributions of rates of return instead of only point estimates are obtained, which is missing in most studies.
- Estimating household demand for millet and sorghum in Niger and NigeriaCheng, Zhen; Larochelle, Catherine (2016-05-15)Millet and sorghum are two important crops and source of calories for poor households in semiarid West and Central Africa. This research analyzes the response of household demand for millet and sorghum to income and prices in Niger and Nigeria using the latest Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) data by a twostage method. In the first stage, a Working-Leser model is estimated to obtain the elasticity of food expenditure with respect to household total expenditure. In the second stage, a Quadratic Almost Ideal Demand System (QUAIDS) model, incorporating household socio-demographic characteristics and regional dummy variables, is estimated for rural and urban households separately. Unconditional expenditure elasticities, own-price elasticities, and cross-price elasticities are obtained by combining the results of first and second stages. Results reveal that millet and sorghum are necessities for households in Niger and Nigeria. As income grows, household demand for the two crops will increase but at a lower rate than income growth in both countries. Demand for sorghum and millet among rural households is less responsive to income and price changes compared with urban households. Considering high population growth rate and increasing urbanization rate in the two countries, it is expected that total demand for millet and sorghum will continue to increase, but their share in household’s food budget will decline.