Increasing productivity of multipurpose tree species : a blueprint for action : IUFRO Planning Workshop for Asia, 16-28 July 1984, Kandy, Sri Lanka /

At head of title: International Union of Forestry Research Organizations; Union Internationale des Instituts de Recherches Forestieres; Internationaler Verband Forstlicher Forschungsanstalten.

Evaluation of different models to describe egg and pupal development of Xyleborus fornicatus Eichh. (Coleoptera: Scolytidae), the shot-hole borer of tea in Sri Lanka

Abstract Development data of eggs and pupae of Xyleborus fornicatus Eichh. (Coleoptera: Scolytidae), the shot-hole borer of tea in Sri Lanka, at constant temperatures were used to evaluate a linear and seven nonlinear models for insect development. Model evaluation was based on fit to data (residual sum of squares and coefficient of determination or coefficient of nonlinear regression), number of measurable parameters, the biological value of the fitted coefficients and accuracy in the estimation of thresholds. Of the nonlinear models, the Lactin model fitted experimental data well and along with the linear model, can be used to describe the temperature-dependent development of this species.

Home gardens and Dioscorea species – A case study from the climatic zones of Sri Lanka

Home gardens are considered as vital units for enhancing food security particularly in developing nations of South Asia, such as Sri Lanka. Although the yam crop Dioscorea spp. constitute a popular but still minor component in Sri Lankan home gardens, they have the potential of producing large quantities of edible material with minimal inputs. However, their real value in South Asian home gardens is not yet reported. Hence, this study was carried out to get insights into home garden characteristics, gardener demography as well as current management practices within 300 Sri Lankan home garden systems that are located along a climatic gradient. By using interviews and field observations, gardeners, who cultivated in particular Dioscorea species, were studied within 10 of the 25 administrative districts distributed in the wet, intermediate and dry climatic zone of Sri Lanka. Furthermore, current management practices of yams cultivation were analyzed on local scale and compared afterwards with management recommendations published in the year 2006 by the Department of Agriculture. Dioscorea species were found in a majority of home gardens, especially in wet and intermediate zones of Sri Lanka. D. alata was the most prominent species and was managed at a subsistence level and not as per recommendations developed by the Department of Agriculture. Our results revealed that Dioscorea alata is an essential component of Sri Lankan home gardens in rural areas and can yield substantial quantities of edible tubers with low input, especially during times of food scarcities, and has therefore the potential to enhance food security and rural development.

International evidence on the predictability of returns to securitized real estate assets: econometric models versus neural networks

The performance of various statistical models and commonly used financial indicators for forecasting securitised real estate returns are examined for five European countries: the UK, Belgium, the Netherlands, France and Italy. Within a VAR framework, it is demonstrated that the gilt-equity yield ratio is in most cases a better predictor of securitized returns than the term structure or the dividend yield. In particular, investors should consider in their real estate return models the predictability of the gilt-equity yield ratio in Belgium, the Netherlands and France, and the term structure of interest rates in France. Predictions obtained from the VAR and univariate time-series models are compared with the predictions of an artificial neural network model. It is found that, whilst no single model is universally superior across all series, accuracy measures and horizons considered, the neural network model is generally able to offer the most accurate predictions for 1-month horizons. For quarterly and half-yearly forecasts, the random walk with a drift is the most successful for the UK, Belgian and Dutch returns and the neural network for French and Italian returns. Although this study underscores market context and forecast horizon as parameters relevant to the choice of the forecast model, it strongly indicates that analysts should exploit the potential of neural networks and assess more fully their forecast performance against more traditional models.

Observed relationships between maize yield and climate in Sri Lanka

The present study evaluated the effects of climate variability on maize (Zea mays L.) yield in Sri Lanka at different spatial scales. Biophysical data from the Department of Agriculture (DOA) in Sri Lanka for six major maize-growing districts (Ampara, Anuradhapura, Badulla, Hambantota, Moneragala, and Kurunegala) from 1990 to 2010 were analyzed. Simple linear regression models were fitted to observed climate data and detrended maize yield to identify significant correlations. The correlation between first differences of maize yield and climate (r) was further investigated at 0.50° grid scale using interpolated climate data. After 2003, significantly positive (p < 0.01) yield trends varied from 154 kg ha–1 yr–1 to 360 kg ha–1 yr–1. The correlations between maize yield and climate reported that five out of six districts were significant at 10% level. Rainfall had a consistent significant (p < 0.10) positive impact on maize yield in Anuradhapura, Hambantota, and Moneragala, where seasonal total rainfall together with high temperature (“hot-dry”) are the key limitations. Further, the seasonal mean temperature had a negative impact on maize yield in Moneragala (“hot-dry”), the only district that showed high temperatures. Badulla district (“cold-dry”) reported a significant (r = 0.38) positive correlation with mean seasonal temperature, indicating higher potential toward increasing temperatures. Each 1°C rise in seasonal mean temperature reduced maize yield by about 5% from 1990 to 2010. Overall, there was a reasonable correlation between district maize yield and seasonal climate in most of the districts within the maize belt of Sri Lanka.

Low workforce participation of educated female and the role of work organizations in post-war Sri Lanka

Sri Lanka as a developing economy that achieved gender equity in education and a higher literacy rate (both adult and youth) in the South Asian region still records a low labor force participation and high unemployment rate of females when compared to their male counterparts. With the suggestion of existing literature on the non-conventional models of careers those adopted by young and female populations at the working age, this paper discusses the role of work organizations in absorbing more females (and even minority groups) into the workforce. It mainly focuses on the need of designing appropriate human resource strategies and reforming the existing organizational structures in order for contributing to the national development in the post-war Sri Lanka economy.

The impact of foreign firms on industrial productivity : evidence from Japan

With a newly constructed dataset on foreign firms in Japan for the period 1995-2008 from firm-level surveys, this paper estimates the impact of foreign firms on industrial productivity at the regional level. A Bayesian-model averaging approach is taken to account for model uncertainty resulting from various linkages between foreign firms and domestic industries. The results show that the foreign firms may contribute to industrial efficiency directly through their above-average productivity and indirectly through positive spillovers in intra-industry and local backward linkages. Forward linkages with foreign firms may have a negative impact on industrial productivity. However, these impacts depend on the nationality and entry mode of foreign investors. Aggregating foreign firms may mask their distinctive impacts on productivity.

Lessons from natural disasters, tsunami-affected Small and Medium-Sized Enterprises(SMEs) in Sri Lanka

The main objective of this paper is to identify some of the key issues encountered by tsunami-affected small and medium-sized enterprises (SMEs) in the process of rehabilitation and re-establishment in Sri Lanka. The second objective is to assess how far these affected industries have received various benefits and supports from bodies such as government agencies, private sector firms, donors and NGOs to help them get back into business. The final objective is to recommend policies and strategies to develop the tsunami-affected SMEs in a self-sustaining manner and within a certain time period. The main database of firms for this research has been obtained from the Industrial Development Board, which conducted a survey covering 4,389 tsunami-affected micro- and SMEs. In addition to this, information from various state organizations and NGOs-based sources has been used. This paper identifies the main issues related to tsunami-affected SMEs ranging from basic infrastructure provision up to finance, marketing, machinery, technology, training, product identification and development and so forth. In fact, it is shown that there are no significant differences between issues faced by SMEs in general and tsunami-affected SMEs, apart of course from the effects of a sudden disaster (the tidal wave). Consequently, these issues can be generalized as issues relevant to SMEs in Sri Lanka as a whole. However, under the flood and rain of local and foreign assistance, there have been more pledges and promises than actual deliveries and, so, tsunami-affected SMEs have received comparatively little support and assistance in recovering and no records can be found as to where the colossal amount of foreign assistance received has actually gone. Finally, this paper recommends various types of business incubator centres and entrepreneurial enhancing skill programmes for the revamping of tsunami-affected SMEs in addition to the normal disaster risk management plan.

Two species of Neocypholaelaps from Sri Lanka (Acari: Ameroseiidae), with description of a new species

Two species of Neocypholaelaps Vitzthum are reported from Sri Lanka. One of them, Neocypholaelaps ceylonicus Narita & Moraes, n. sp., is described based on adult females. The other, Neocypholaelaps ampullula (Berlese), originally described from Indonesia, is reported for the first time in Sri Lanka. Complementary morphological information about this species is provided based on the specimens collected in this study. A discussion is presented about the spermathecal apparatus of Neocypholaelaps species.

Tourism as a contributor to development in Sri Lanka: An overview and a case study

General background is provided on the potential of tourism growth to contribute to economic development, paying particular attention to the experience of Sri Lanka. An overview of trends in inbound tourism to Sri Lanka is presented with particular consideration being given to its number of inbound tourist arrivals. Sri Lanka’s comparative position in international tourism markets, the composition of its tourist arrivals by area of origin, the extent of foreign earnings by the Sri Lankan tourism industry and variations in the amount of these earnings, and the extent of employment generation by this industry are examined. Regional aspects of the tourism industry in Sri Lanka are given special consideration, and this is followed by a report on the regional economic impact of tourism of Pinnawala Elephant Orphanage. This major tourist attraction near the edge of the Western Highlands of Sri Lanka is shown to make a significant contribution to economic decentralisation. A general discussion follows of tourism development in the Sri Lankan context. The main factors that have hindered tourism growth in Sri Lanka and its decentralisation are considered. Indications are that major impediment posed by civil disturbance and terrorism is at an end in Sri Lanka.

Applying linear time-varying constraints to econometric models: With an application to demand systems

When linear equality constraints are invariant through time they can be incorporated into estimation by restricted least squares. If, however, the constraints are time-varying, this standard methodology cannot be applied. In this paper we show how to incorporate linear time-varying constraints into the estimation of econometric models. The method involves the augmentation of the observation equation of a state-space model prior to estimation by the Kalman filter. Numerical optimisation routines are used for the estimation. A simple example drawn from demand analysis is used to illustrate the method and its application.

Rural and urban attitudes to the conservation of Asian elephants in Sri Lanka: Empirical evidence

There has been little study of economic and general attitudes towards the conservation of the Asian elephant. This paper reports and analyses results from surveys conducted in Sri Lanka of attitudes of urban dwellers and farmers towards nature conservation in general and the elephant conservation in particular. The analyses are based on urban and a rural sample. Contingent valuation techniques are used as survey instruments. Multivariate logit regression analysis is used to analyze the respondents’ attitudes towards conservation of elephants. It is found that, although some variations occurred between the samples, the majority of the respondents (both rural and urban) have positive attitudes towards nature conservation in general. However, marked differences in attitudes toward elephant conservation are evident between these two samples: the majority of urban respondents were in favour of elephant conservation; rural respondents expressed a mixture of positive and negative attitudes. Overall, considerable unrecorded and as yet unutilised economic support for conservation of wild elephants exists in Sri Lanka.