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Formulation of effective policies to enhance the resilience of tourism following the COVID-19 pandemic essentially requires comprehensive empirical information on changes in tourism demand and associated economic costs. The paper makes a novel contribution to tourism literature by employing regionally and temporally disaggregated tourism data and Google search data in improving the accuracy of tourism forecasts. Further, the paper adopts two timeseries variables namely tourist arrivals and guest nights in order to understand the changes due to COVID-19 in tourism demand more comprehensively. Monthly data on international tourist arrivals, guest nights and Google trends from 2004 to 2019 are used to produce regionally disaggregated (Europe, Asia, the Pacific, America, Other) monthly tourism forecasts for Sri Lanka. We find that SARMAX models outperform the other models (ARIMA, ARIMAX, SARIMA) in forecasting tourism demand following COVID-19. Interestingly, the paper makes a further step in utilizing forecasts in estimating foregone economic benefits due to COVID-19 pandemic. We find a notable difference in estimated direct economic loss depending on the variable used in estimates. The percentage loss is 40% when arrival forecasts are used in estimates and 29% when guest night forecasts are used in estimates. This provides important policy implications for improving post-COVID tourism.

While it is well known that new technologies enhance consumer welfare, the manner in which these technologies impact the ability to realize economies of scale in consumption is not well understood. We use Sri Lankan household data to examine how the adoption of new technologies by households positively impacts their ability to achieve household economies of scale. This suggests that new technologies not only deliver a greater variety of consumption goods to consumers, but they may also play an important role in enabling large households to escape poverty by lowering the per-capita costs of maintaining a given standard of living. Given the importance of consumption economies of scale in the measurement of poverty, this study provides some insights on the extent to which the number of poor households changes when food consumption scale economies due to technology adoption in the domestic sphere are incorporated.

This paper focuses on Vietnam's exchange rate whose official rate has been pegged by the State Bank against the US dollar since 1989 despite wider market liberalisation over this time. Whether Vietnam's official exchange rate is appropriately valued has important implications for the economy's international competitiveness, trade balance and gross domestic product (GDP). The main aim of the paper is to assess whether the official exchange rate has been valued appropriately with reference to macroeconomic fundamentals, as proposed by the purchasing power parity and the behavioural equilibrium exchange rate approaches to evaluating equilibrium exchange rates. Our main empirical finding based on co-integration analysis using quarterly data from 1995 to 2014 is that according to both these approaches the Vietnamese Dong was significantly overvalued for extended times, most notably due to Vietnam's relatively high inflation rate.

This study analyses asymmetry in price transmission between wholesale and retail rice markets in Sri Lanka, using the threshold autoregressive model. We found that the wholesale and the retail rice markets in Sri Lanka are integrated, with price changes moving from the wholesale to the retail market. However, the price transmission process is asymmetric. In particular, price increases at the wholesale market transmit immediately to the retail market while price decreases transmit more slowly. Parameter stability test and follow-up analysis indicated that the price transmission process is asymmetric only during periods of price surges, suggesting that the rice market is not efficient during these periods.

This study examined economic well-being of sub-national units in India since the economic reforms. For this purpose, the study constructed well-being index for 17 major states of India for the period 1981–2011 based on five broad dimensions. Our results showed that the economic well-being of states has declined since the reforms. The interstate disparities have increased and the states (except Punjab and West Bengal) which performed well prior to the reforms continued to perform well in the post-reform years too. In addition, our regression results for the high well-being and low well-being states revealed that the reforms have benefited more developed high well-being states, rather than low well-being states. While human capital was found significantly and positively related to per capita incomes in both groups of the states, financial development was positively related in high well-being states, but a negative association was visible in the low well-being states.

While the existing literature on rising food prices in recent years has mainly focused on the causes and calculating the number of people falling below the poverty line in developing countries, less attention has been paid to rising food prices and food security in terms of calorie intake. The main objective of this study is to fill this gap using a case study of a developing country, Sri Lanka. In this study, we estimate the change in individual calorie intake associated with food inflation using the Stone–Geary utility function. The impact at national level is assessed using a calorie intake distribution curve. The results demonstrate that the percentage of undernourished population in Sri Lanka is expected to rise rapidly with food inflation on the basis that there is no income increase during the period under consideration. However, the rise in undernourished population is remarkably low when the income effect is taken into consideration.