Economic valuation of biodiversity in South Asia: The case of Dachigam National Park in Jammu and Kashmir (India)

Abstract

Biodiversity needs our attention because humans receive a wide range of direct and indirect benefits. Valuation of biodiversity is important to establish the importance of use and non-use values of biological resources and cost of ignoring them.Against this backdrop, the aim of this study is to capture the recreational value of the national park biodiversity while employing travel cost method. To this end, the value of the economic benefits generated by sustainable management of Dachigam National Park in Jammu and Kashmir (India) is estimated using data from 301 visitors from different parts of the country. Data are analysed using count data models, and results reveal that travel cost method is suitable for valuation of various use values generated by environmental resources such as national parks. Estimated results show that consumer surplus per visitor per visit in present study is equal to Rs. 12,470 (US $197), which translates into an annual monetary recreational value of about Rs. 247,614,828 (approximately US $3,930,395). Demand for tourism services is also found to be fairly insensitive to travel cost/price. Therefore, an increase in entry fee and redistribution of proceeds --This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Economic valuation of environmental attributes of the Yanachaga–Chemillén National Park via contingent valuation and choice experiment

“…In the econometric model obtained, the coefficient of this attribute and the coefficient of the economic benefit attribute are highly significant. Younus and Sultan (2018) pointed out that an improvement of these attributes can increase the respondents’ perception of utility.…”

“…In studies regarding the economic valuation of environmental services, methods have been used based on revealed preferences (Albarracin et al , 2018; Van et al , 2017) and stated preferences (Guzman, 2015; Guevara, 2015; Dwyer, et al , 2015; Tamayo and Bedoya, 2017; Kumakawa, 2017; Romero and Cardenas, 2017; Younus and Sultan, 2018; Burrows et al , 2019).…”

¿Es relevante la biodiversidad en la decisión de visita a los parques nacionales en el Perú?

“…En el primer modelo básico (m_1) solo intervienen atributos del sitio y en el modelo 2 (m_2) un grupo biodiversidad de especies (EF y EFL), el modelo extendido (m_3) considera la combinación de variables proxy de biodiversidad (EF, EFL, EAF, EAFL, OBJ y EN) y tipo de zona. En esos modelos, los parámetros del costo de viaje y distancia son negativos y significativos al 90 % de confianza (un mayor costo de viaje o mayor distancia para visitar un ANP reduce la probabilidad de elegirlo), que es similar a lo encontrado por Samos & Bernabeu (2013), Conradie & Garcia (2013), Hernández et al (2009; Hanauer et al (2015); Bhat & Bhatt (2019). Las variables proxy de biodiversidad son significativas y toman valores positivos o negativos según ellas intervienen en el modelo.…”

“…El impacto del costo de viaje es negativo, pero de menor relevancia, tal como señalan Hernández et al (2009); Conradie & Garcia (2013); Cho et al (2014); Surendran & Sekar (2010), existen otras variables como información, educación, distancia y actividades en el área que tendrían mayor efecto en la demanda de un ANP. Aun así, un aumento de USD 100 en el CTV disminuirá en casi 50 % la probabilidad de visitar la RNP o el PNH, pero esa probabilidad sería casi invariable para el PNM y RNPS, también Bhat & Bhatt (2019) determinaron una demanda casi inelástica respecto al CTV para el Parque Nacional Dachigam (India) rico en biodiversidad, y diferentes magnitudes del efecto del CTV (0,19 -1,09) fueron encontradas también por Cho et al (2014).…”

Intersectionality of Marginalization and Inequality: A Case Study of Muslims in India

“…p-242-62. 21 Ibid: 249.Muslim community a larger percentage of Muslim OBCs fall in low income category as compared to Muslim-General Within Muslims, Muslim-OBCs are slightly lagging behind the Muslim-General in high income group[26]"22 .…”