Browsing by Author "Yildirim, Julide"

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    Can compulsory ecological compensation for land damaged by mining activities mitigate CO2 emissions in China?
    (Frontiers, 2021-11-25) Wang, Siyao; Balta-Ozkan, Nazmiye; Yildirim, Julide; Chen, Fu; Wang, Yinghong
    Chinese government has proposed a national contribution plan that involves achieving the peak CO2 emissions by 2030 and carbon neutrality by 2060. To explore the pathway of achieving carbon neutrality, we tried to use resources taxes and land reclamation deposits as compulsory ecological compensation (CEC). In order to test if CEC can affect CO2 emissions, energy intensity was selected as the intermediate variable. We found that the CO2 emissions trend in China is consistent with environmental Kuznets curve hypothesis and proved that CEC displayed a spillover effect on energy intensity. Likely, energy intensity presented a spillover effect on CO2 emissions. Therefore, CEC will spatially affect CO2 emissions. The generalized spatial two-stage least-squares estimate model was used to identify the impact mechanism of coal production on energy intensity with CEC as the instrumental variable. The results indicated that reducing coal production in neighboring regions may cause the mitigation of local CO2 emissions. Finally, regression analyses carried out by region suggested regional cooperation should be carried out in the process of carbon mitigation.
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    Energy transition at local level: analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment
    (Elsevier, 2020-11-03) Balta-Ozkan, Nazmiye; Yildirim, Julide; Connor, Peter M.; Truckell, Ian; Hart, Phil
    A growing literature highlights the presence of spatial differences in solar photovoltaic (PV) adoption patterns. Central to forward planning is an understanding of what affects PV growth, yet insights into the determinants of PV adoption in the literature are limited. What factors do drive the adoption at local level? Are the effects of these factors geographically uniform or are there nuances? What is the nature of these nuances? Existing studies so far use aggregate macro datasets with limited ability to capture the role of peer effects. This paper considers some established variables but also broadens the base of variables to try to identify new indicators relating to PV adoption. Specifically, it analyses domestic PV adoption in the UK at local level using data on the number of charities as a proxy to capture the opportunities to initiate social interactions and peer effects. A geographically weighted regression model that considers the spatially varying relationship between PV adoption and socio-economic explanatory variables reveals significantly more variability than the global regression. Our results show that charities and self-employment positively influence PV uptake while other socio-economic variables such as population density has bidirectional impacts.
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    Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach
    (Elsevier, 2015-08-15) Balta-Ozkan, Nazmiye; Yildirim, Julide; Connor, Peter M.
    Photovoltaic (PV) panels offer significant potential for contributing to the UK's energy policy goals relating to decarbonisation of the energy system, security of supply and affordability. The substantive drop in the cost of panels since 2007, coupled with the introduction of the Feed-in Tariff (FiT) Scheme in 2010, has resulted in a rapid increase in installation of PV panels in the UK, from 26.5MWp in 2009 to over 5GW by the end of 2014. Yet there has been no comprehensive analysis of the determinants of PV deployment in the UK. This paper addresses this gap by employing spatial econometrics methods to a recently available data set at a fine geographical detail. Following a traditional regression analysis, a general to specific approach has been adopted where spatial variations in the relationships have been examined utilising the spatial Durbin model using the cross-sectional data relating to the UK NUTS level 3 data. Empirical results indicate that demand for electricity, population density, pollution levels, education level of households and housing types are among the factors that affect PV uptake in a region. Moreover Lagrange Multiplier test results indicate that the spatial Durbin model may be properly applied to describe the PV uptake relationship in the UK as there are significant regional spillover effects.
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    Solar PV modelling at local level - Raw Data
    (Cranfield University, 2021-01-07 11:09) Ozkan, Nazmiye; Hart, Phil; Truckell, Ian; Yildirim, Julide; Connor, Peter
    This dataset includes the raw data used in the modelling of solar PV adoption at LAD level. For description of the variables, please refer to Table 4 of the journal article titled 'Energy transition at local level: analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment'.