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Ouraich, I. & Lundmark, R. (2019). A Spatial Price Determination Model for Multi-Market Heterogeneously Distributed Resources: An Application to Forestry Markets in Sweden. Geographical Analysis, 51(2), 182-202
Open this publication in new window or tab >>A Spatial Price Determination Model for Multi-Market Heterogeneously Distributed Resources: An Application to Forestry Markets in Sweden
2019 (English)In: Geographical Analysis, ISSN 0016-7363, E-ISSN 1538-4632, Vol. 51, no 2, p. 182-202Article in journal (Refereed) Published
Abstract [en]

The spatial dimension is a key paradigm in price determination, as attested by recentstudies in the literature that highlighted the differential in market behavior between spa-tial and non-spatial pricing settings. In this paper, we develop a model of spatial pricingfor multi-market heterogeneously distributed resources, with an application to the Swed-ish forestry sector. The focus of the model is to estimate the impact of spatial interactionon the demand for resources in terms of resource allocation, competition, and pricing. Inits core, the pricing mechanism relies on a supply–demand framework. Using disaggre-gated data at the gridcell level for forest feedstock supply and harvesting costs in Sweden,we construct regional supply curves for each gridcell assuming a maximum transporta-tion distance to delimit the potential market. Demand nodes are exogenously determinedand are adjusted using a distance-decay model to assess demand pressure across loca-tions. We apply the model empirically to assess the impact on forest feedstock prices of a20 TWh increase in biofuel production.

Place, publisher, year, edition, pages
John Wiley & Sons, 2019
National Category
Economics
Research subject
Economics
Identifiers
urn:nbn:se:ltu:diva-70419 (URN)10.1111/gean.12165 (DOI)000465217500003 ()2-s2.0-85052937523 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-04-12 (johcin)

Available from: 2018-08-15 Created: 2018-08-15 Last updated: 2019-05-15Bibliographically approved
Palage, K., Lundmark, R. & Söderholm, P. (2019). The impact of pilot and demonstration plants on innovation: The case of advanced biofuel patenting in the European Union. International Journal of Production Economics, 210, 42-55
Open this publication in new window or tab >>The impact of pilot and demonstration plants on innovation: The case of advanced biofuel patenting in the European Union
2019 (English)In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 210, p. 42-55Article in journal (Refereed) Published
Abstract [en]

The objective of this paper is to investigate how pilot and demonstration plants affect innovation in the empirical context of advanced biofuel technology. Patent counts are used as a proxy for innovation; we employ data for eight EU Member States over the time-period 1980–2011, and negative binomial regression techniques. The focus is on plant investments that have received public co-funding. The results are overall robust to alternative model specifications, and show that the knowledge generated through past investments in pilot and demonstration plants has had positive effects on advanced biofuel patenting activities. This result is particularly valid for so-called experimental plants, i.e., aiming at testing the technical viability of new technology. The empirical analysis does not indicate the presence of any positive interaction between investments in experimental plants and biofuel blending policies, i.e., in the sense that more stringent blending requirements can raise the rate-of-return on additional pilot tests. Moreover, advanced biofuel innovation is also affected through knowledge spillovers across the selected EU Member States. The paper ends by outlining avenues for future research on the role of pilot and demonstration plants in technology development.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Innovation, Pilot and demonstration plants, Patents, Advanced biofuels, European Union
National Category
Economics
Research subject
Economics
Identifiers
urn:nbn:se:ltu:diva-72793 (URN)10.1016/j.ijpe.2019.01.002 (DOI)000466056100004 ()2-s2.0-85060346569 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-02-07 (svasva)

Available from: 2019-02-07 Created: 2019-02-07 Last updated: 2019-06-18Bibliographically approved
Palage, K., Lundmark, R. & Söderholm, P. (2019). The innovation effects of renewable energy policies and their interaction: the case of solar photovoltaics. Environmental Economics and Policy Studies, 21(2), 217-254
Open this publication in new window or tab >>The innovation effects of renewable energy policies and their interaction: the case of solar photovoltaics
2019 (English)In: Environmental Economics and Policy Studies, ISSN 1432-847X, E-ISSN 1867-383X, Vol. 21, no 2, p. 217-254Article in journal (Refereed) Published
Abstract [en]

The objective of this paper is to examine the innovation impacts of renewable energy support policies, and their interaction in the empirical context of solar photovoltaics (PV) technology. This is achieved using data on patent applications for 13 countries over the period 1978–2008, and unconditional negative binomial estimators. The analysis addresses one technology-push instrument, public R&D support, and two demand-pull instruments, feed-in tariffs (FIT), and renewable energy certificate (REC) schemes. The results indicate that: (a) both FIT and REC schemes induce solar PV patenting activity, but the impact of the former policy appears to be more profound; (b) public R&D support has overall been more influential than FIT and REC schemes in encouraging solar PV innovation; (c) policy interaction exists in that the impact of public R&D support on innovation is greater at the margin if it is accompanied by the use of FIT schemes for solar PV. A corresponding interaction effect is harder to detect for public R&D support and REC schemes, possibly due to the stronger technology selection pressure under the latter policy. The results following several robustness tests support the existence of a positive interaction effect between public R&D and FIT schemes.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Innovation, Patent counts, Solar photovoltaics, Renewable energy policy, Policy interaction
National Category
Economics
Research subject
Economics
Identifiers
urn:nbn:se:ltu:diva-71255 (URN)10.1007/s10018-018-0228-7 (DOI)000463204500003 ()2-s2.0-85055546570 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-04-04 (johcin)

Available from: 2018-10-18 Created: 2018-10-18 Last updated: 2019-04-24Bibliographically approved
Ouraich, I., Wetterlund, E., Forsell, N. & Lundmark, R. (2018). A spatial-explicit price impact analysis of increased biofuel production on forest feedstock markets: a scenario analysis for Sweden. Biomass and Bioenergy, 119, 364-380
Open this publication in new window or tab >>A spatial-explicit price impact analysis of increased biofuel production on forest feedstock markets: a scenario analysis for Sweden
2018 (English)In: Biomass and Bioenergy, ISSN 0961-9534, E-ISSN 1873-2909, Vol. 119, p. 364-380Article in journal (Refereed) Published
Abstract [en]

The present paper introduces an integrated spatially explicit framework for assessing price impact on forestry markets in Sweden. The framework is based on the “soft-link” of a price determination model, the SpPDM model with the BeWhere Sweden model. The aim is to analyse the impacts of increased forest-based biofuel production for transportation within the Swedish context by 2030. To that effect, we develop scenarios analyses based on the simulations of successive biofuel production targets, under different assumptions concerning the competition intensity for forest biomass and the use of industrial by-products. The results suggest marginal impacts on the prices of forest biomass. The average across spatial-explicit prices varies from 0% to 2.8% across feedstocks and scenario types. However, the distribution of the spatial-explicit price impacts displays large variation, with price impacts reaching as high as 8.5%. We find that the pattern of spatial distribution of price impacts follows relatively well the spatial distribution of demand pressure. However, locations with the highest price impacts show a tendency of mismatch with the locations of the highest demand pressure (e.g. sawlogs). This is a counterintuitive conclusion compared to results from non-spatial economic models. The spatial-explicit structure of the framework developed, and its refined scale allows such results to be reported. Hence, from a policy-making perspective, careful analysis should be devoted to the locational linkages for forestry markets of increased biofuel production in Sweden.

Place, publisher, year, edition, pages
Elsevier, 2018
National Category
Energy Engineering Economics
Research subject
Energy Engineering; Economics
Identifiers
urn:nbn:se:ltu:diva-71257 (URN)10.1016/j.biombioe.2018.09.029 (DOI)000449265800040 ()2-s2.0-85054729952 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-10-18 (svasva)

Available from: 2018-10-18 Created: 2018-10-18 Last updated: 2019-06-26Bibliographically approved
Lundmark, R. (2018). Analysis and projection of global iron ore trade: a panel data gravity model approach. Mineral Economics, 31(1-2), 191-202
Open this publication in new window or tab >>Analysis and projection of global iron ore trade: a panel data gravity model approach
2018 (English)In: Mineral Economics, ISSN 2191-2203, E-ISSN 2191-2211, Vol. 31, no 1-2, p. 191-202Article in journal (Refereed) Published
Abstract [en]

In this study, an empirical model of global trade in iron ore is developed and applied. The empirical specification is based on the trade gravity theory in which the trade is determined by the income of the trading countries, the distance between the countries, and other characteristics of the countries. The model is specified allowing for country-specific effects. The estimation is performed with panel data for global bilateral iron ore trade flows from 1980 to 2016 including 121 countries and almost 14,000 observations. The results indicate a strong support of the gravity model hypotheses. On average, the trade value is projected to increase by approximately 5% per year up until 2035. The trade potential of iron ore is estimated to 410 million USD per year. Applied to forecasting and policy analysis, the results represent another worthwhile source of information providing an alternative view of the global trade in iron ore that can be helpful for decision-makers.

Place, publisher, year, edition, pages
Springer, 2018
National Category
Economics
Research subject
Economics
Identifiers
urn:nbn:se:ltu:diva-66729 (URN)10.1007/s13563-017-0125-8 (DOI)000445765000018 ()2-s2.0-85047203363 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-05-17 (andbra)

Available from: 2017-11-23 Created: 2017-11-23 Last updated: 2018-10-15Bibliographically approved
Olofsson, C., Wadsten, J. & Lundmark, R. (2018). European trade and projections in forest-based feed-stocks. Scandinavian Journal of Forest Research, 33(8), 809-814
Open this publication in new window or tab >>European trade and projections in forest-based feed-stocks
2018 (English)In: Scandinavian Journal of Forest Research, ISSN 0282-7581, E-ISSN 1651-1891, Vol. 33, no 8, p. 809-814Article in journal (Refereed) Published
Abstract [en]

The purpose of this study is to estimate the intra EU trade value of wood products and examine the factors affecting the trade flow. A gravity model is used to estimate the factors affecting the trade flow. The study uses a panel data set, with fixed effects, on trade in two forest products between 28 EU member countries over the period 2005–2014. The forest products are woodchips and particles (HS4401) and industrial roundwood (HS4403). For HS4401, the result suggests that the GDP of both the exporting and importing countries affect the trade flow positively (0.64 and 0.36, respectively). For HS4403, the GDP of the exporting countries affect have a negative effect (−0.69), while the GDP of the importing countries have a positive effect (0.80). In a second step, the estimated parameters are used to forecast the trade up until year 2030. The forecast suggests an increase in the trade by 47 per cent. This suggests an improved efficiency in reaching the EU climate and energy targets. That is, the trade in biofuels is expected to increase due to economic growth, which in turn works towards achieving the renewable and CO2 emission targets in Europe.

Place, publisher, year, edition, pages
Taylor & Francis, 2018
Keywords
Roundwood, renewable energy, trade, gravity model, Europe
National Category
Economics
Research subject
Economics
Identifiers
urn:nbn:se:ltu:diva-70190 (URN)10.1080/02827581.2018.1495255 (DOI)000447199800010 ()2-s2.0-85049632302 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-10-29 (johcin) 

Available from: 2018-08-01 Created: 2018-08-01 Last updated: 2019-03-27Bibliographically approved
Lundmark, R., Forsell, N., Leduc, S., Lundgren, J., Ouraich, I., Pettersson, K. & Wetterlund, E. (2018). Large-scale implementation of biorefineries: New value chains, products and efficient biomass feedstock utilisation. Luleå: Luleå University of Technology
Open this publication in new window or tab >>Large-scale implementation of biorefineries: New value chains, products and efficient biomass feedstock utilisation
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2018 (English)Report (Other (popular science, discussion, etc.))
Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2018. p. 34
National Category
Economics Energy Systems Energy Engineering
Research subject
Economics; Energy Engineering
Identifiers
urn:nbn:se:ltu:diva-71060 (URN)
Funder
Swedish Research Council Formas, 213-2014-184
Available from: 2018-10-01 Created: 2018-10-01 Last updated: 2018-10-18Bibliographically approved
Lundmark, R. (2018). Produktion och marknad: utdrag ur Mikroekonomi (1ed.). Lund: Studentlitteratur AB
Open this publication in new window or tab >>Produktion och marknad: utdrag ur Mikroekonomi
2018 (Swedish)Book (Refereed)
Place, publisher, year, edition, pages
Lund: Studentlitteratur AB, 2018. p. 404 Edition: 1
National Category
Economics
Research subject
Economics
Identifiers
urn:nbn:se:ltu:diva-70414 (URN)978-91-44-12675-3 (ISBN)
Available from: 2018-08-15 Created: 2018-08-15 Last updated: 2018-08-15Bibliographically approved
Jaunky, V. C. & Lundmark, R. (2017). Dynamics of Wood Pulp Production: Evidence from OECD Countries. Forests, 8(4), 170-180, Article ID 107.
Open this publication in new window or tab >>Dynamics of Wood Pulp Production: Evidence from OECD Countries
2017 (English)In: Forests, ISSN 1999-4907, E-ISSN 1999-4907, Vol. 8, no 4, p. 170-180, article id 107Article in journal (Refereed) Published
Abstract [en]

This paper investigates whether shocks to pulp for paper production for 17 Organisation for Economic Co-Operation and Development (OECD) members over the period 1980–2012 are transitory or permanent. A variety of univariate and panel data unit root tests are employed. The presence of structural breaks is taken into account when performing those tests. Based on the Narayan-Popp univariate unit root test, wood production series for approximately 64.71% of countries is found to follow a non-stationary process. However, univariate unit root tests tend to have low power when the time span is relatively short. Consequently, three generations of panel unit root tests are considered. Cross-sectional dependence is detected. The first generation of unit roots do not effectively control for cross-sectional dependence, while the second and third generations do. The third generation accounts mainly for cross-sectional co-integration. As a confirmatory analysis, both unit root tests that tests for the null of non-stationarity and stationarity are considered. Most of the panel unit root tests point towards a non-stationary process. Hence, while these shocks can be transmitted to other economic sectors, past behaviours of wood production cannot be used for forecasting purposes. Forest conservation policies can have a permanent impact on pulp for paper production.

Place, publisher, year, edition, pages
Basel: MDPI, 2017
National Category
Economics
Research subject
Economics
Identifiers
urn:nbn:se:ltu:diva-62931 (URN)10.3390/f8040107 (DOI)000404099200013 ()2-s2.0-85017395242 (Scopus ID)
Note

Validerad; 2017; Nivå 2; 2017-04-18 (rokbeg)

Available from: 2017-04-07 Created: 2017-04-07 Last updated: 2018-11-26Bibliographically approved
Ouraich, I., Lundmark, R. & Nicklas, F. (2017). Price Impact Analysis of Increased Biofuel Production on Forest Feedstock Markets : A Spatial Explicit Approach for Sweden. In: : . Paper presented at IUFRO 125th Anniversary Congress,, Freiburg, Germany, 18-22 September 2017.
Open this publication in new window or tab >>Price Impact Analysis of Increased Biofuel Production on Forest Feedstock Markets : A Spatial Explicit Approach for Sweden
2017 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

This paper introduces a model of price determination to analyze the impacts of increased biofuel production on forest feedstocks markets in Sweden. The model is based on a spatially-explicit, demand-supply framework. Data on forest biomass supply and harvest cost at the gridcell level is available for Sweden for 334 0.5x0.5 degree gridcells. We use the data to construct supply curves, both at the national level and sub-national level. The supply and harvest cost data is available for four forest commodities: branch & tops, pulpwood, sawlogs and stumps. The latter are further distinguished depending on the type of harvest operation: thinning or final felling. On the demand side, the model is calibrated using data on current demand for each feedstock at gridcell level. Demand scenarios for different biofuel targets are generated from the BeWhere-Sweden model at the gridcell level, which allow us to investigate the potential impacts on market price as approximated by the harvest cost data. We run simulation scenarios for increased biofuel production from forest biomass for Sweden: a 10 and 20 terawatt hour (TWh) of biofuel by 2030. As expected, the results show that increased demand pressure on the forest biomass will tend to push prices up. The magnitudes of change are highest for pulpwood and branches & tops from final felling, where they reach 0.004% to 18.95% and 0.001% to 7.2% respectively. With respect to the spatial distribution of price change, we notice that it matches expectations as they map out with the spatial distribution of supply and demand.

National Category
Economics
Research subject
Economics
Identifiers
urn:nbn:se:ltu:diva-66115 (URN)
Conference
IUFRO 125th Anniversary Congress,, Freiburg, Germany, 18-22 September 2017
Funder
Swedish Research Council Formas, 213-2014-184
Available from: 2017-10-13 Created: 2017-10-13 Last updated: 2018-02-15Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-5194-4197

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