Some responses of Eryngium vesiculosum Labill to light intensity, daylength and nitrogen : a thesis presented in partial fulfilment of the requirements for the degree of Master of Horticultural Science in Plant Science at Massey University

Eryngium vesiculosum Labill. is a plant commonly found in sandy coastal flat in New Zealand. Some preliminary observations (pers comm. Veale) had suggested that flowering in this species might be controlled by the external environment especially with respect to daylength. Normally the mature plant has oblong and dissected leaves but in the shade the leaves tend to have less dissection and this change in leaf form serves as a useful feature for morphological investigations. Another interesting feature of the plant is that it produces runners like the strawberry plant. The plant also produces daughter plants on the runners and lateral branches. The production of these organs, which enables a large family of homogenous plants to be raised rapidly by vegetative propagation is another feature which would make this plant useful experimental material. The object of this study is to obtain some information on the effects of light intensity, daylength and nitrogen on flowering, leaf morphology and anatomy and plant growth. Much work has been carried out on the effects of the three external factors used in this study on many plant species but none on E. vesiculosum. Because of the absence of such information on this plant, the review of literature includes other plant species thus making it more voluminous than otherwise would be. For obvious reasons the review has been limited to present only the salient responses of some plant species to light intensity, daylength and nitrogen. [FROM INTRODUCTION

Inventories and Optimal Monetary Policy

We introduce inventories into a standard New Keynesian Dynamic Stochastic General Equilibrium (DSGE) model to study the effect on the design of optimal monetary policy. The possibility of inventory investment changes the transmission mechanism in the model by decoupling production from final consumption. This allows for a higher degree of consumption smoothing since firms can add excess production to their inventory holdings. We consider both Ramsey optimal monetary policy and a monetary policy that maximizes consumer welfare over a set of simple interest rate feedback rules. We find that in contrast to a model without inventories, Ramsey-optimal monetary policy in a model with inventories deviates from complete inflation stabilization. In the standard model, nominal price rigidity is a deadweight loss on the economy, which an optimizing policymaker attempts to remove. With inventories, a planner can reduce consumption volatility and raise welfare by accumulating inventories and letting prices change as an equilibrating mechanism. We find also find that the application of simple rules comes very close to replicating Ramsey optimal outcomes.Ramsey policy, New Keynesian model

Deep Habits in the New Keynesian Phillips Curve

We derive and estimate a New Keynesian Phillips curve (NKPC) in a model where consumers are assumed to have deep habits. Habits are deep in the sense that they apply to individual consumption goods instead of aggregate consumption. This alters the NKPC in a fundamental manner as it introduces expected and contemporaneous consumption growth as well as the expected marginal value of future demand as additional driving forces for inflation dynamics. We construct the driving process in the deep habits NKPC by using the model’s optimality conditions to impute time series for unobservable variables. The resulting series is considerably more volatile than unit labor cost. General Methods of Moments (GMM) estimation of the NKPC shows an improved fit and a much lower degree of indexation than in the standard NKPC. Our analysis also reveals that the crucial parameters for the performance of the deep habit NKPC are the habit parameter and the substitution elasticity between differentiated products. The results are broadly robust to alternative specifications.

Deep Habits in the New Keynesian Phillips Curve

We derive and estimate a New Keynesian Phillips curve (NKPC) in a model where consumers are assumed to have deep habits. Habits are deep in the sense that they apply to individual consumption goods instead of aggregate consumption. This alters the NKPC in a fundamental manner as it introduces expected and contemporaneous consumption growth as well as the expected marginal value of future demand as additional driving forces for inflation dynamics. We construct the driving process in the deep habits NKPC by using the model's optimality conditions to impute time series for unobservable variables. The resulting series is considerably more volatile than unit labor cost. GMM estimation of the NKPC shows an improved fit and a much lower degree of indexation than in the standard NKPC. Our analysis also reveals that the crucial parameters for the performance of the deep habit NKPC are the habit parameter and the substitution elasticity between differentiated products. The results are broadly robust to alternative specfications.Phillips curve; GMM; marginal costs; deep habits.

Should the optimal portfolio be region-specific? A multi-region model with monetary policy and asset price co-movements

A multi-region, dynamic stochastic general equilibrium (MRDSGE) model is built to show that differences in the price elasticity of housing supply can be related to stylized facts on regional differences in (1) house price level, (2) house price volatility, (3) monetary policy propagation mechanism and (4) household asset portfolio. In addition, regional house prices are found to move more closely with regional fundamentals than with the national GDP. The correlation between the national stock price and the regional housing price also vary significantly across regions, which suggests that optimal portfolio should be region specific.regional economic difference, monetary policy, housing market, region-specific portfolio

Do world shocks drive domestic business cycles? Some evidence from structural estimation

Existing results on the contribution of terms of trade and world interest rate shocks to output fluctuations in small open economies range from less than 10% to almost 90%. We argue that an identification problems lies at the heart of these vastly di¤erent results. In this paper, we overcome this by estimating a DSGE model using a structural Bayesian estimation approach. We apply our methodology to five developed and developing economies.. Our approach allows us to e?ciently exploit cross-equation restrictions implied by the structural model. We find that world interest rate shocks are the main driving forces of business cycles in small open economies while terms of trade shocks are not

New techniques for geographic routing

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.Includes bibliographical references (p. 141-148).As wireless sensor networks continue to grow in size, we are faced with the prospect of emerging wireless networks with hundreds or thousands of nodes. Geographic routing algorithms are a promising alternative to tradition ad hoc routing algorithms in this new domain for point-to-point routing, but deployments of such algorithms are currently uncommon because of some practical difficulties. This dissertation explores techniques that address two major issues in the deployment of geographic routing algorithms: (i) the costs associated with distributed planarization and (ii) the unavailability of location information. We present and evaluate two new algorithms for geographic routing: Greedy Distributed Spanning Tree Routing (GDSTR) and Greedy Embedding Spring Coordinates (GSpring). Unlike previous geographic routing algorithms which require the planarization of the network connectivity graph, GDSTR switches to routing on a spanning tree instead of a planar graph when packets end up at dead ends during greedy forwarding. To choose a direction on the tree that is most likely to make progress towards the destination, each GDSTR node maintains a summary of the area covered by the subtree below each of its tree neighbors using convex hulls.(cont.) This distributed data structure is called a hull tree. GDSTR not only requires an order of magnitude less bandwidth to maintain these hull trees than CLDP, the only distributed planarization algorithm that is known to work with practical radio networks, it often achieves better routing performance than previous planarization-based geographic routing algorithms. GSpring is a new virtual coordinate assignment algorithm that derives good coordinates for geographic routing when location information is not available. Starting from a set of initial coordinates for a set of elected perimeter nodes, GSpring uses a modified spring relaxation algorithm to incrementally adjust virtual coordinates to increase the convexity of voids in the virtual routing topology. This reduces the probability that packets will end up in dead ends during greedy forwarding, and improves the routing performance of existing geographic routing algorithms. The coordinates derived by GSpring yield comparable routing performance to that for actual physical coordinates and significantly better performance than that for NoGeo, the best existing algorithm for deriving virtual coordinates for geographic routing. Furthermore, GSpring is the first known algorithm that is able to derive coordinates that achieve better geographic routing performance than actual physical coordinates for networks with obstacles.by Ben Wing Lup Leong.Ph.D

Creating Product Visibility to the Bottom of the Pyramid

Emerging markets and the global dynamics growth attract the exploration of business opportunity to the bottom of the pyramid. The economic development derived to the reshaping of the business activi-ties and this is becomes very obvious especially in Asia and South American. The Bottom of the Pyramid customer has been neglected and overlooked by the industries. This paper aims to under-stand in-depth the principle and practical realities on ways to market to the bottom of the pyramid. Theoretical essay was conducted using the literature in relation to 4A marketing mix and mainly The Triumvirate Human Values Ecosystem Framework. The discussion indicates the characteristics, the misperception and opportunity of Bottom of the Pyramid market is focused. Theoretical framework for Bottom of the Pyramid marketing are developed which includes the principle, the scope and the challenges. Application of The Triumvirate Human Values Ecosystem Framework is presented through case study. Research paper Reference to this paper should be made as follows: Chee Seng, L., Wing Sum, L., Shukor, M. (2015). “Creating Product Visibility to the Bottom of the Pyramid: Integration of Marketing Mix and Human Value Ecosystem Approach”, Journal of Entrepreneurship, Business and Economics, Vol. 3, No. 1, pp. 1–30

Creating Product Visibility to the Bottom of the Pyramid

Emerging markets and the global dynamics growth attract the exploration of business opportunity to the bottom of the pyramid. The economic development derived to the reshaping of the business activi-ties and this is becomes very obvious especially in Asia and South American. The Bottom of the Pyramid customer has been neglected and overlooked by the industries. This paper aims to under-stand in-depth the principle and practical realities on ways to market to the bottom of the pyramid. Theoretical essay was conducted using the literature in relation to 4A marketing mix and mainly The Triumvirate Human Values Ecosystem Framework. The discussion indicates the characteristics, the misperception and opportunity of Bottom of the Pyramid market is focused. Theoretical framework for Bottom of the Pyramid marketing are developed which includes the principle, the scope and the challenges. Application of The Triumvirate Human Values Ecosystem Framework is presented through case study. Research paper Reference to this paper should be made as follows: Chee Seng, L., Wing Sum, L., Shukor, M. (2015). “Creating Product Visibility to the Bottom of the Pyramid: Integration of Marketing Mix and Human Value Ecosystem Approach”, Journal of Entrepreneurship, Business and Economics, Vol. 3, No. 1, pp. 1–30