Approaches towards Land Valuation and Land Pricing under the Influence of Geo-Climate Change

The Czech Republic is more or less unique in its dual system (official and market price) of agricultural land prices. In the case of the market price, there are several studies and approaches that assess the impact of individual variables on the market price of land. If we focus on the official price of land, its value in the Czech Republic is influenced by the evaluated soil ecological unit (ESEU) price. The ESEU price expresses the production potential of the land on the basis of soil quality indicators, which include the climatic region, the main soil unit, slope and exposure and, last but not least, the depth of the soil profile and skeletonisation. Climate change also means that the current values of the definition (e.g., for a climatic region, this refers to the average temperature or average precipitation) do not correspond to reality. No studies have looked in detail at the impact of soil quality indicators or climate change on the price of ESEUs. New and more accurate measurements of soil characteristics are increasing the number of ESEU codes, and prices have not yet been set for some codes. For this reason, we proposed the use of a hedonic method to determine shadow prices, which reflect the intensity and direction of the effect of each input variable on the price of an ESEU. A heteroscedastic corrected linear regression model was used to determine the coefficients, which presents in detail the effect of all included parameters on the final price of an ESEU in the results section. From the results, it was obvious that the shadow price coefficients themselves corresponded to basic generally accepted assumptions regarding the direction of effect. In the conditions of the Czech Republic, a significant influence on the price of an ESEU was mainly the slope with exposure and the depth of the soil profile with skeletonisation. These factors affected the productive capacity of the soil, which, in turn, translated into lower profitability of agricultural entities. The high explanatory ability of the hedonic model, with a high parametric significance for most of the used variables, was an important factor determining the robustness of the model as a repricing tool. The model set according to the prices of the applicable price decree can be used to set the prices of new or not-yet-valued ESEU codes under the conditions in the Czech Republic, or shadow prices can be used during climatic changes in the event of the transfer of the given soil unit to another climate region according to the general specification. It is therefore an important tool for the needs of the public administration.

Cost And Welfare: A Simulation of Establishing A Unified Carbon Market In China

BackgroundGlobal warming has aroused wide concern of international community, which has reached a consensus on the carbon abatement. In 2017, China should have established a unified market for carbon emission trading, while the government has postponed the establishment because the uncertainty of cost calculation and welfare. Therefore, the cost and welfare of carbon abatement in simulated scenarios could help the government in establishing a unified carbon market and setting suitable policy. In the national carbon trading market, the variations of different abatement cost are the precondition of carbon exchange. This paper set forth theories related to carbon market and used parametric directional distance function model to derive the shadow prices of 30 provinces from 2011 to 2017. Then the classic logarithmic model is used to simulate marginal abatement cost curves, which is further applied to empirically investigate the welfare of 30 provinces in two scenarios of carbon trading market in China. ResultsThe results indicate that marginal abatement cost would rise with the increasing of emission reduction and vary significantly among provinces, and undeveloped provinces have greater potential in emission reduction than developed regions. Moreover, all provinces could benefit from the establishment of the nationwide ETS.ConclusionsThis article combines the theoretical model of shadow prices with the analysis of China’s carbon trading market in an attempt to analyze the cost and welfare of Chinese provinces and cities on the unified carbon trading market, adding the time trend factor to the directional distance function, and then further combines the parameter method to estimate the shadow price of CO2. Finally, the paper gives some proposals regarding to China’s ETS and carbon reduction targets.

Calculating Cost Distributions of a Multiservice Loss System

Congestion pricing has received lots of attention in the scientific discussion. Congestion pricing means that the operator increases prices at the time of congestion and the traffic demand is expected to decrease. In a certain sense, shadow prices are an optimal way of congestion pricing: users are charged shadow prices, i.e., the expectations of future losses because of blocked connections. The shadow prices can be calculated exactly from Howard’s equation, but this method is difficult. The paper presents simple approximations to the solution of Howard’s equation and a way to derive more exact approximations. If users do not react by lowering their demand, they will receive higher bills to pay. Many users do not react to increased prices but would want to know how the congestion pricing mechanism affects the bills. The distribution of the price of a connection follows from knowing the shadow prices and the probability of a congestion state. There is another interesting distribution. The network produces profit to the operator, or equivalently, blocked connections produce a cost to the operator. The average cost rate can be calculated from Howard’s equation, but the costs have some distribution. The distribution gives the risk that the actual costs exceed the average costs, and the operator should include this risk to the prices. The main result of this paper shows how to calculate the distribution of the costs in the future for congestion pricing by shadow prices and for congestion pricing with a more simple pricing scheme that produces the same average costs.

Opportunities for Making Production-Related Decisions on the basis of Shadow Prices

This article describes how shadow prices can be used as active constraints (in this case constraints of mine production capacity)to address and support production-related decision-making. This is an algorithm from a post-optimal analysis developed by theauthor as part of a method for rationalising production decisions for a formal group (PGG, a company) of hard coal mines.Opportunities for using shadow prices are presented using examples of actual mines. The developed algorithm provides a quickway of obtaining information, with no need to solve the problem again, about possible gains or losses resulting from an increase ora decrease in a selected production limit, to determine how changes to such constraints will affect the profits and production andsales structures for specific coal sizes.

Shadow prices for intangible resources

PurposeFocusing on managerial problems related to the measurement of intangibles, this paper develops and validates a hedonic-pricing methodology for the evaluation of the intangible resources of companies obtaining their shadow prices.Design/methodology/approachThe paper adapts a hedonic-pricing methodology developed primarily for markets in real estate and secondhand cars to define how much intangibles may contribute to companies' market value. A certain calibration of the original tool has been developed to make this methodology appropriate for interpretation and practical use. The main advantage of this approach is that it allows for an evaluation of the shadow prices of intangible resources. These prices can be interpreted as the market value of the intangible resources which are not reflected on the balance sheet.FindingsThe results of this study demonstrate that hedonic pricing with a self-selection correction generates robust estimates. As one can see, the positive contribution of a high endowment of intangibles for all shadow prices is confirmed through estimations using two different techniques. Meanwhile, the negative effect of a low endowment is even more evident for the baseline model. This model shows consistent negative shadow prices for the majority of underinvested intangibles. Brands have the highest shadow prices in the introduced models; human capital, as measured by the qualification of top management and investments in employees, has likewise demonstrated high prices. However, most structural resources seem to be not reflected to a large degree in companies' market value.Practical implicationsThis paper brings new opportunities to obtain the monetary value of intangible resources based on estimated market prices of a corporation's resource portfolio. These prices may be used for several purposes – for example, benchmarking for performance management, capital budgeting or knowledge-management practices. Moreover, by having methodological value, this study opens ways to evaluate any other intangibles which are not explicitly discussed in the empirical test of this particular study.Originality/valueThis study primarily contributes to the methodological advancement of evaluation of corporate intangible resources. It departs from the conventional hedonic-pricing mechanism to identify cogent estimates to intangibles in monetary terms. Importantly, this mechanism implies individual shadow prices for specific intangible resources which makes the contribution of this study unique for the existing literature, both within resource-based and value-based views.

Economic sustainability benchmarking of environmental initiatives: a case of wastewater treatment plant

PurposeIt has been long debated whether the three bottom lines of sustainability (economic, environmental and social) can be achieved simultaneously or whether achieving one adversely affects the others. This paper analyses the economic sustainability of an environmental initiative, namely, effluent treatment plant (ETP), adopted by an Indian textile industry.Design/methodology/approachTwo situations have been considered for the analysis. First, pure economic view with the operating and installed capacities has been considered. Second, combined economic-environmental view using shadow prices of undesirable outputs (biological oxygen demand, chemical oxygen demand, total nitrogen, total phosphorous, etc.) has been analysed.FindingsIt has been found that when pure economic view is considered, the net present value (NPV) of the ETP with present operating capacity (10,200 kL/day) is negative, implying that it is not economically sustainable. However, if the ETP is operated with the full installed capacity (17,000 kL/day), it becomes economically sustainable except in the case of very high cost of capital (13%). Finally, when shadow prices of undesirable outputs are considered, the NPV becomes positive, bolstering the economic-environmental sustainability of ETP.Research limitations/implicationsIn future, multiple case studies should be conducted in similar organisations to extend the general applicability of the outcome of this study. This research considers the economic and environmental aspects of ETP. However, social benefits have not been considered in this research work, which can definitely be addressed in future endeavours.Practical implicationsThough very high capital investment of ETP acts as a barrier, the results of this study imply that the top management of textile and clothing organisations should look at it from the holistic economic-environmental viewpoint. The use of ETP also leads to social benefits by improving the health of local community and by reducing their hospitalisation, medical expenditure and absenteeism from school and workplace. The outcome of this research may enthuse the entrepreneurs to adopt environmental initiatives.Originality/valueThe paper provides a framework to evaluate the economic feasibility of ETP by considering the time value of money. It is demonstrated with a real case that the environmental initiatives can be economically rewarding.