Drinking wine at home: Hedonic analysis of sicilian wines using quantile regression

Abstract: In recent decades, the Sicilian wine industry has experienced a booming expansion because of the growing preferences of Italian consumers for Sicilian wines, especially in extra-regional markets. These consumers have been paying closer attention to Sicilian premium wines. For this reason, the objective of this study is to inform professional investors and wine managers about the consumer preferences with respect to the most important segment categories of domestically consumed Sicilian wines. Using the quantile regression technique, we analyzed the role of wine attributes and prices as an information tool in order to value for each wine segment the implicit price of the attributes affecting wine consumers\u2019 choices. The results indicate that Protected Designation of Origin (PDO) and Geographical Indication (PGI) certification is the main determinant in the wine price mechanisms and certified wines achieve premium prices that are progressively higher as the price level of the wine increases. Furthermore the effect of the brand on price formation seems to have a significant impact for low-end wines, whereas it has no specific impact on the price mechanism for high-end wines. Keywords: Consumer Scan Dataset, Geographic Origin, Hedonic Price, Robust Regression, Wine Consumptio

Evaluation of Road Roughness and Road Deterioation

There are two road condition survey methods commonly used, the roughness-based equipment such as NAASRA and the distress and severity type road evaluation method as presented by ASTM D-6433. The objective of the study is to evaluate the relationship between road condition obtained from roughness type equipment and road distress. To achieve the objective, a condition survey using the two methods were performed on two road segments in the East Java Provincial road system. Data obtained from the field was evaluated to obtain International Roughness Index (from NAASRA) and Present Condition Index value (from field condition survey). The results show that the two methods provide a comparable result when the distress type is of un-even surface such as rutting and bumping. A slight different result is observed when the major distress occurred in the road is of crack-type such as fatigue and block cracking

Pemodelan Indeks Pembangunan Manusia (IPM) Provinsi Jawa Timur dengan Menggunakan Metode Regresi Logistik Ridge

Pembangunan manusia di suatu daerah merupakan upaya yang dilakukan oleh pemerintah daerah terkait dengan ke-sejahteraan masyarakat yang diukur dengan Indeks Pembangun-an Manusia (IPM). Terdapat tiga sektor pembentuk IPM yaitu kesehatan, pendidikan dan ekonomi dimana faktor-faktor dalam setiap sektor cenderung memiliki kolinieritas yang tinggi yang menyebabkan adanya kasus multikolinieritas. Apabila kasus multikolinieritas tidak diatasi, maka dapat menyebabkan variansi dari hasil estimasi parameter menjadi besar yang dapat ber-akibat pada banyaknya variabel prediktor yang tidak signifikan meskipun nilai koefisien determinasi (R2) tinggi. Sehingga untuk mengatasinya dilakukan pemodelan terhadap Indeks Pembangun-an Manusia (IPM) Provinsi Jawa Timur menggunakan metode Regresi Logistik Ridge. Terdapat tiga variabel yang berpengaruh signifikan, yaitu angka kematian bayi (X1), angka buta huruf (X4) dan angka partisipasi sekolah (X5). Dengan metode backward elimination, didapatkan model terbaik dengan ketepatan kla-sifikasi sebesar 97,37% yang menghasilkan 5 kabupaten/kota ter-golong IPM menengah bawah, yaitu Kabupaten Bangkalan, Sampang, Probolinggo, Situbondo dan Jember. Pada 33 kabupaten/kota yang lain tergolong dalam IPM menengah atas

Pemodelan Ketahanan Pangan Di Indonesia Dengan Pendekatan Regresi Probit Ordinal

Pangan merupakan kebutuhan dasar manusia yang harus dipenuhi setiap saat termasuk di Indonesia. Kebijakan tentang pangan di Indonesia diatur dalam Undang-Undang No.18 Tahun 2012. Berdasarkan FSVA tahun 2015 yang merupakan salah satu program pemerintah yang dilaksanakan dalam rangka mewujudkan kedaulatan dan kemandirian pangan, diketahui sebesar 8% wilayah di Indonesia mengalami penurunan tingkat ketahanan pangan. Provinsi tersebut diantaranya adalah Provinsi Papua, diikuti dengan NTT, Maluku, dan Papua Barat. Papua menjadi provinsi dengan persentase tertinggi di beberapa variabel seperti persentase penduduk hidup dibawah garis kemiskinan yaitu sebesar 31,52%, persentase keluarga yang tinggal di desa dengan akses terbatas ke fasilitas kesehatan (>5 km) sebesar 40,65%, dan variabel persentase perempuan buta huruf sebesar 39,84%. Dikarenakan pola data prioritas ketahanan pangan yang digunakan bersifat kategori bertingkat, maka pemodelan dilakukan menggunakan regresi probit ordinal. Hasil yang didapatkan dengan menggunakan metode backward dalam pemilihan model terbaik adalah digunakannya lima variabel prediktor yang signifikan terhadap model, dan nilai koefisien determinasi sebesar 57,5%

Photoproduction of the ω\omega meson on the proton at large momentum transfer

The differential cross section, $d\sigma/dt$ for $\omega$ meson exclusive photoproduction on the proton above the resonance region ($2.6<W<2.9$ GeV) was measured up to a momentum transfer $-t = 5$ GeV$^2$ using the CLAS detector at Jefferson Laboratory. The $\omega$ channel was identified by detecting a proton and $\pi^+$ in the final state and using the missing mass technique. While the low momentum transfer region shows the typical diffractive pattern expected from Pomeron and Reggeon exchange, at large $-t$ the differential cross section has a flat behavior. This feature can be explained by introducing quark interchange processes in addition to the QCD-inspired two-gluon exchange.Comment: 5 pages, 5 figure

Changing mega-events’ spatial strategies and cultural policy: scaling down, spacing out, and assembling organizations in the cases of London and Milan

Despite the proposed ‘certainty’ in a city or region hosting a mega-event, there has long been issues of uncertainty surrounding the planning and implementation of what have until now essentially been mega-projects. Large events have found a variety of ways to adapt and respond to unforeseen circumstances due to political conflicts, planning of oversize venues, limited time of implementation, and legacies that are difficult to manage. Considering the further increased uncertainty surrounding the planning of mega-events as a result of the COVID-19 pandemic, this paper examines how an accompanying cultural component—e.g., the Cultural Olympiad—may help cities that plan for events like the Olympics transition toward diversified drivers and long-term legacy. In particular, the case of cultural offering in Milan between the two mega-events of Expo 2015 and the upcoming 2026 Milano-Cortina Olympic Games shows how host cities can address growing uncertainty through the expanded role of a cultural programme combined with the rescaling of traditional mega-event formats. With this purpose, 2012 London Cultural Olympiad has been selected as an antecedent example—with positive and negative outcomes—to critically review the relationships between the Olympics and the Cultural Olympiad, as well as their widespread spatial strategy and public engagement. In addition, the paper offers more general conclusions regarding learning potentials of jointly studying mega-events and cultural policy