Technological upgrading and energy demand scenarios for Indian railways—A system dynamics study

This paper presents a system dynamics model of the Indian railway system and generates probable scenarios of its performance up to the year 2011. The basic structure of the model, the relationships between the interacting variables, and the generic flow diagrams used for developing the model are discussed in detail. In generating the scenarios, probable changes in the railway system and in the national socioeconomic environment in which it works are considered. In particular, introduction of technological innovations in the railways and their impact on railway energy demand are examined in detail.     

Changing food consumption patterns in rural and urban Vietnam: Implications for a future food supply system

Rapid income growth and urbanisation could significantly change the composition of the food basket in many emerging economies. This study estimates a demand system, including 15 major food items in Vietnam, with multiyear household survey data. We find a large variation in the estimated price elasticities (–0.05 to –0.88) and expenditure elasticities (–0.16 to 2.56). Food types, urban status and income groups can explain this variation. We also find that the staple food, rice, is already an inferior good for rich urban households in Vietnam. Moreover, food preferences are evolving away from rice but towards animal proteins (fish, pork, chicken, eggs and milk), fruits and vegetables, irrespective of urban status and income groups. As the Vietnam economy continues to grow with a doubling of gross domestic product (GDP) in the next decade, per capita rice consumption in both urban and rural areas and across different income groups will continue to decline, whereas demand for other high‐value products will rise. Thus, government policy should focus on encouraging demand‐oriented food production. In addition, crop diversification at the farm level needs to improve substantially to meet the rising demand for these food products due to income growth and urbanisation.     

Impact of foreign direct investment volatility on economic development in the Indian subcontinent

Using annual data over forty years from 1975 to 2014, this study investigates the gross domestic product (GDP) growth and the conditional volatility of foreign direct investment (FDI) in the Indian subcontinent. The study reports the rising trends of both FDI and GDP and documents that the greater‐than‐expected FDI due to innovative shocks or policy innovations positively influences conditional volatility of FDI which, in turn, positively contributes to the economic growth/development. The conditional volatility used in the study is the variance derived from the diagnostically selected exponential GARCH (EGARCH) model. The study also reports the causality of both the FDI and its volatility across borders. More specifically, it reports bidirectional causality of FDI between India and Pakistan but unidirectional causality from Bangladesh to both India and Pakistan. It further documents that this volatility is persistent in all the economies and that it spillovers from both India and Pakistan to Bangladesh. The evidence attributes the economic development in the Indian subcontinent to the economic or policy innovations in attracting FDI. The findings of this study thus contribute to the literature by documenting the contrasting evidence that the volatility along with the trend of FDI contributes to the economic development and by reconciling the contrasting evidence.