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Revista Chapingo serie ciencias forestales y del ambiente

versión On-line ISSN 2007-4018versión impresa ISSN 2007-3828

Rev. Chapingo ser. cienc. for. ambient vol.26 no.2 Chapingo may./ago. 2020  Epub 23-Abr-2021

https://doi.org/10.5154/r.rchscfa.2019.06.043 

Scientific article

Choice experiments for the management of Los Mármoles National Park, Mexico

Enrique Melo-Guerrero1 

Juan Hernández-Ortiz2  * 

Antonio Aguilar-Lopez4 

Rodrigo Rodríguez-Laguna1 

Miguel A. Martinez-Damián3 

Ramon Valdivia-Alcalá2 

Ramón Razo-Zarate1 

1Universidad Autónoma del Estado de Hidalgo. Rancho Universitario, Av. Universidad km 1, Exhacienda de Aquetzalapa. C. P. 43600. Tulancingo, Hidalgo, México.

2Universidad Autónoma Chapingo. km 38.5 Carretera México-Texcoco. C. P. 56230. Chapingo, Texcoco, Estado de México, México.

3Colegio de Postgraduados. km 36.6 Carretera México-Texcoco. C. P. 56230. Montecillo, Texcoco, Estado de México, México.

4Instituto Tecnológico Superior de Huichapan, División de Ingeniería en Gestión Empresarial. Domicilio conocido s/n, col. El Saucillo. C. P. 42411. Huichapan, Hidalgo, México.


Abstract

Introduction:

the planning and management of activities in Los Mármoles National Park should include the opinions of users and visitors in order to generate sustainable economic alternatives in line with conservation objectives.

Objective:

to estimate the economic value of the implementation of an improvement plan (access roads, forest health, biodiversity protection and recreation spaces) for the management of Los Mármoles National Park.

Materials and methods:

the economic value of implementing an improvement plan was estimated through choice experiments, by means of a conditional logit Model. To this end, key actors were interviewed, participatory diagnostic workshops were held and a survey was applied to 144 tourists, who expressed the order of preferences for the attributes of the improvement plan.

Results and discussion:

the survey participants assigned greater willingness to pay for the forest health attribute (16.51 MXN) than to access roads and parking sites (13.74 MXN) and biodiversity protection (9.28 MXN). The attribute on improvements to recreational spaces was not statistically significant, reflecting a greater appreciation for maintaining the site's undisturbed conditions.

Conclusions:

the choice experiments in the management of policies for the handling of Natural Protected Areas allowed to identify the areas of opportunity and value them economically, through the opinion of the actors involved in the activities of Los Mármoles National Park.

Keywords: economic valuation; conditional logit; improvement plan; willingness to pay; social benefit

Resumen

Introducción:

La planeación y manejo de las actividades en el Parque Nacional Los Mármoles debe incluir las opiniones de los usuarios y visitantes con la finalidad de generar alternativas económicas sustentables acordes con los objetivos de conservación.

Objetivo:

Estimar el valor económico por la implementación de un plan de mejoras (vías de acceso, sanidad forestal, protección a la biodiversidad y espacios para la recreación) para el manejo del Parque Nacional Los Mármoles.

Materiales y métodos:

El valor económico por la implementación de un plan de mejoras se estimó mediante experimentos de elección, a través del modelo logit condicional. Para ello se entrevistó a los actores clave, se hicieron talleres de diagnóstico participativo y se aplicó una encuesta a 144 turistas, quienes manifestaron el orden de las preferencias de los atributos del plan de mejora.

Resultados y discusión:

Los entrevistados asignaron mayor disponibilidad a pagar al atributo sanidad forestal (16.51 MXN) que a las vías de acceso y sitios de estacionamiento (13.74 MXN) y protección a la biodiversidad (9.28 MXN). El atributo sobre mejoras a los espacios para la recreación no resultó estadísticamente significativo, lo cual refleja una mayor valoración por mantener las condiciones poco alteradas del sitio.

Conclusiones:

Los experimentos de elección en la gestión de políticas para el manejo de las áreas naturales protegidas permitieron identificar las áreas de oportunidad y valorarlas económicamente, a través de la opinión de los actores involucrados en las actividades del Parque Nacional Los Mármoles.

Palabras clave: valoración económica; logit condicional; plan de mejora; disponibilidad a pagar; beneficio social

Introduction

Protected Natural Areas (PNA) are sites that preserve environments representative of various biogeographical and ecological regions; their creation is a central part of conservation policies worldwide (Durand & Jimenez, 2010; Pabon-Zamora et al. 2008). PNAs are present in more than 169 countries and cover 15 % of the Earth's surface (International Union for Conservation of Nature [IUCN], 2016).

Currently, Mexico has 182 federal PNA, making up 90 839.52 km2 (Comisión Nacional de Áreas Naturales Protegidas [CONANP], 2019). The PNA have several management categories, amongst which National Parks stand out for their biodiversity and scenic beauty, which are associated with tourism and recreation. For the most part, PNAs are located on socially owned land, where 93 % of the population faces some degree of marginalization (Comisión Nacional para el Conocimiento y Uso de la Biodiversidad [CONABIO] 2009) and exerts continuous pressure on natural resources. In this regard, CONANP carries out conservation work and generates development alternatives for the populations that inhabit these areas, in order to mitigate the adverse effects on the environment and associated environmental services. However, the implementation of conservation policies in PNA depends directly on the personnel assigned and the availability of economic resources, which must be optimized to ensure efficient management and compliance with conservation objectives. Unfortunately, in Mexico there are PNA’s that still lack enough resources, field personnel or operating program for the management of the ecosystem that guarantees preservation.

Los Mármoles National Park (PNLM) has faced years of abandonment in management for conservation. In addition, productive activities incompatible with the management category (rain-fed agriculture, fruit farming, extensive and backyard livestock, extraction of natural resources and non-metallic minerals) were established and caused degradation of natural resources, habitat fragmentation, erosive processes and loss of soil productivity. This situation reflects the lack of economic development policies and budget allocation to carry out administrative, operational and monitoring actions (Consejo Nacional de Evaluación de la Política de Desarrollo Social [CONEVAL], 2016), both in the PNLM and in other PNA in Mexico.

Given the ecotouristic potential of the PNLM and the lack of job opportunities, the residents of La Encarnación, Municipality of Zimapan, Hidalgo, promoted a tourism development project in 2013. The Comisión Nacional Para el Desarrollo de los Pueblos Indígenas supported and funded this project through to the installation, equipment and training for the services of zip lining, rappelling, mountain biking, spelunking and hiking; however, the tourism that goes currently to the park (access charge free) demands for complementary services such as accommodation, transport, food, and access roads in good conditions, which must be valued by the community group in the planning of services that are intended to provide.

Disorderly tourism represents a source of environmental impacts (Quintero, 2004). In this sense, in the PNLM, tourism activity has taken place without planning that promotes the sustainable use of resources and optimizes Community Development. This is attributed to the lack of coordination between the area's residents and the park's administrative staff, as well as studies involving tourists ' preferences for landscape conservation. Therefore, in order to know the social preferences for the implementation of the improvement plan in four areas of intervention, the choice experiment method was applied. This tool provides information on the economic value of non-transactional environmental services in the market (Carson & Czajkowski, 2014; Hensher, Rose, & Greene, 2005); it also allows the decomposition of the total value of the environmental good in the value of its attributes, providing a more useful approach to economic valuation in an environmental management and policy perspective (Riera & Mogas, 2006).

The method of choice experiments was applied in market research since the 60s, and from the 80s in geography, tourism, transport, valuation of environmental goods, health economics, among others (Bekker-Grob, 2010; Brouwer et al., 2016; Cerda, 2011; Rocamora, Colombo, & Glenk, 2014; Tudela-Mamani & Leos-Rodriguez, 2018). With respect to the use of the method in the environmental goods valuation, Riera and Mogas (2006) estimated the impacts on social welfare due to the increase of the forest surface in Catalonia; Tudela (2010) assessed the social preferences for the management of the PNA in Mexico; and Cerda (2011) estimated the economic value of environmental services provided by forest ecosystems in Navarino island, Chile.

The objective of this work was to estimate the economic value of the implementation of the improvement plan (access roads, forest health, biodiversity protection and recreation spaces) for the management of Los Mármoles National Park, through choice experiments. This information will facilitate the decision-making of those responsible for the administration and promoters of community ecotourism.

Materials and methods

The investigation was carried out in the town of La Encarnación in Los Mármoles National Park. The PNLM is located in the northwest of the state of Hidalgo (20° 45’ 39” and 20° 58’ 22” LN and 99° 08’ 57 and 99° 18’ 39” LO), has a surface of 23 150 ha and occupies part of the municipalities of Jacala, Nicolás Flores, Pacula and Zimapán (Ramírez-Cruz, Sanchez-Gonzalez, & Tejero-Díez, 2009). The area belongs to the Priority Land region 101 Sierra Gorda-Rio Moctezuma, which is relevant in terms of diversity of flora and fauna, presents endemic species in some risk category (Randell-Badillo, 2008). This biological wealth translates into environmental goods and services for the population of the park and its area of influence, as well as landscape value that represents potential for the development of rural and ecological tourism.

Choice experiments method

The choice experiments method has its theoretical basis in the consumer choice model. According to Tudela-Mamani and Leos-Rodriguez (2018), Lancaster (1966) breaks with the traditional theory of consumer behavior by assuming that this demand goods by virtue of their characteristics, which generate utility. On the other hand, the theory of random utility assumes that a perfectly rational individual chooses the alternative that implies greater utility. In this sense, the method consisted of presenting sets of attribute options at different levels to the interviewees, who had to choose the preferred alternative j = 1, 2, ... J of the choice set C, consisting of a constant or status quo option (current situation) and two improvement plans. The interviewees' choice reflected their preference for the attributes of one alternative compared to the other two; that is, they assessed the changes in the attributes of their preference, which allowed them to transform their responses to estimates into monetary magnitudes.

The utility of the respondents, given their choices, is represented by the expression: Uij = V(Zij, Si, Mi) + εij , where V is the indirect utility function that depends on Z ij (levels of attributes), S i (socio-economic characteristics of the respondents) and income (M i ), and 𝜀 ij is the non-observable random error component (Blamey, Gordon & Chapman, 1999).

The probability that an individual chooses alternative m over any option j in the choice set C is expressed as the probability that the utility of the former is greater than that of the rest; that is: P [ (Uim > Uij)  j  m ] = P [ (Vim - Vij) > (εij - εim) ].

The indirect utility function (V) is expressed as a linear model of the parameters as follows:

Vij = αj + β'z + γ (Mi-Rate) + δ's

where,

α

specific constant for each alternative

β

vector of utility coefficients associated with the Z vector of explanatory variables

γ

coefficient associated with the price of alternative j, rate j

δ

vector of coefficients associated with socioeconomic variables (Blamey et al. 1999)

The average effect of an attribute is the one it has on the V ij response variable and is independent of the effects of the other attributes.

Under the assumption that the error terms are independent and identically distributed with Gumbel or extreme value type I, the probability of choosing the alternative m is expressed with a multinomial logit (LMN) that contains the attributes to be evaluated and the characteristics of individuals (McFadden, 1974). In this model, ω represents the non-estimable scale parameter regardless of the function parameters (Alvarez-Farizo, Gil, & Howard, 2005):

P [ (Uim > Uij)  j  m] = expω(vim)(xim)expω(vij)(xij) One of the characteristics of the LMN is the implicit assumption of independence from irrelevant alternatives (IIA) which indicates that disturbances are independent and homocedastic. When this assumption is not met there are biased results (Louviere, Hensher, & Swait, 2000), so the Hausman and McFadden test must be applied (Greene, 2003).

The estimated parameters of the additive model can be interpreted as marginal effects of the attribute of the asset to be valued on the probability of choosing one of the plans; in this sense, the marginal willingness to pay (DAPMg) is the willingness to pay for a unit change in each of the intervention areas, while the rest remains constant. The willingness to pay for a marginal change in any of the attributes analysed results from dividing the estimated coefficient of each attribute (-ßi) by the coefficient of the attribute rate (γ) (Alpizar, Carlsson, & Martinsson, 2001).

Procedure of the choice experiment

Prior to the application of the choice experiment a diagnosis of the environmental situation and the management of the PNA was necessary. To this end, meetings were held and interviews were applied to the staff responsible for the administration of the park and local authorities; in addition, a participatory diagnostic workshop was held with residents and tourist service prividers to identify the most relevant aspects of recreational activity. The problems encountered were as follows:

  1. Impact on biodiversity. The vegetation cover has effects due to anthropogenic activities incompatible with the natural vocation and fragmentation of habitats; also, in recent years the hunting of felines has been recorded as a result of the attacks of these predators on livestock.

  2. Increase in the incidence of pests, fire risk due to fuel accumulation and the presence of anthropogenic activities of local users and tourists.

  3. Increased tourism demand for complementary services (v. g. food and lodging), which have not been valued by the community group and park authorities in the planning of conservation services and activities.

  4. Poor access roads (unpaved roads), as well as the lack of parking for vehicles that causes damage to old buildings and the environment.

Selecting attributes and levels

From the diagnosis, working meetings with authorities of the CONANP (specialists in management of the PNA) and the research group were held with the purpose of determining the attributes or areas of intervention to evaluate, and their levels of intervention (from viable, realistic situations, and in the hopes of covering the possible preferences of the respondents). This implied the approach of improvements in the characteristics of the property in its current condition; that is, to move from the current situation to a situation with intervention. For example, the attribute “biodiversity protection“ in its current status (status quo) reveals fragmented habitat and wildlife hunting, due to little or no surveillance so it was placed in an ”insufficient" level. The first level of intervention, identified as the "good" level, consisted of increasing surveillance and reforesting with native species in order to mitigate habitat fragmentation; the second level, identified as the “excellent” level included species monitoring and implementation of livestock insurance for villagers in order to avoid hunting predators (felines). The remaining attributes and levels are presented in Table 1.

Table 1 Attributes and levels in the choice experiment for the valuation of the improvement plan in Los Mármoles National Park, Mexico. 

Attribute Overview Level
Biodiversity Protection Fragmented habitat, little or no monitoring (current situation) Insufficient (does not change)
Reforestation with native species and increased surveillance Good
Species monitoring and livestock insurance to mitigate predator hunting Excellent
Creation and improvement of spaces for recreation Lack of complementary services (current situation) Insufficient (does not change)
Food area with palapas, restaurant and children's playground Good
Lodging cabins Excellent
Forest health Presence of pests and inappropriate care (current situation) Insufficient (does not change)
Pest monitoring and control in a timely manner Good
Measures to control and restore affected areas Excellent
Improved access roads and parking spaces Unpaved road access, deteriorated main street and lack of parking places (current situation) Insufficient (does not change)
Exclusive site for parking on days of high tourist influx Good
Improvement of site access roads Excellent
Access fee (MXN) There is currently no collection of fees for admission to the park 10
15
20
25

To determine the levels of the price attribute, a pilot test was applied on the willingness to pay. This consisted of testing a questionnaire and openly asking interviewees for the rate they would be willing to pay for their entrance to the park after a situation of improvement in current conditions. The resulting levels were 10, 15, 20 and 25 MXN, values below the entry fee established (30.34 MXN) in the Federal Rights Act for 2016 (Congreso de la Unión, 2015).

According to the number of attributes and levels there are 324 possible combinations [(3 x 3 x 3 x 3) (4)], an unlikely situation to be performed, so we used fractional factor analysis through orthogonal design in the SPSS® statistical package (IBM SPSS Statistics, 2015) to minimize the correlation between attributes (Bennett & Adamowicz, 2001). Twenty five plans were generated that represent optimal, orthogonal and balanced scenarios (each level appears in the attribute the same number of times); however, one plan was inconsistent (the levels of the attributes are identical to the situation without intervention, but associated with a rate level) so it was discarded leaving only 24 plans.

Questionnaire design

A questionnaire with three sections was designed and developed. The first included general and environmental perception questions, and the second included questions related to the assessment of attributes of the site and the selection of the most preferred alternative, that is, the choice experiment (Table 2). Because it would be difficult for an interviewee to choose from 24 options, the questionnaire was divided into 12 versions. The third section investigated the socio-economic characteristics of the respondent, as well as suggestions for improving the tourism services of the site and the environmental management of the park. The interview explained each attribute and level in detail to the interviewees and showed representative images of the current situation and hypothetical scenarios of each of the proposed improvements.

Table 2 Example of a situation of choice for the interviewees in the assessment of the improvement plan for Los Mármoles National Park, Mexico. 

Attribute Alternative
A B Status quo
Protection of biodiversity Good Good Does not change
Creation and improvement of spaces for recreation Forest health Does not change Excellent Does not change
Improved access roads and parking spaces Excellent Good Does not change
Rate (MXN) Good Does not change Does not change
Choice 10 25 0

Source: own production.

Sampling and obtaining of data

Sample size was estimated by simple random sampling using the population proportion methodology for finite populations. According to the logbook, in 2015, 5 240 visitors attended the PNLM, so a sample universe of 1 310 household heads was estimated, taking into account that the average family size in Mexico is four members (Consejo Nacional de Población [CONAPO], 2012). The information was collected in the sites of greater tourist inflow during the three high seasons of 2016 (easter, summer time and holiday), through 144 interviews with household heads, of whom only 141 were valid (on average 12 people responded to each of the 12 versions of the questionnaire).

Coding of the attributes to be valued

Prior to the estimation procedure, the attributes to be valued were coded to determine the effects in accordance with the process developed by Holmes and Adamowics (2003). Three levels were generated for each attribute: excellent, good and insufficient; the latter corresponds to the current situation, which means that the econometric analysis only works with excellent and good options (to avoid multicolinearity problems) (Greene, 2003). For the construction of the biodiversity protection (PB) attribute variables, when the interviewee chooses the "excellent" level, the value of 1 to EPB and 0 to BPB is assigned; if he chooses the “good” level, then the value of 1 to BPB and 0 to EPB is assigned, as shown in Table 3. The last situation is that the interviewee chooses the option "insufficient", in this case the variable is encoded with -1 (Holmes & Adamowics, 2003; Tudela, 2010; Tudela-Mamani & Leos-Rodriguez, 2018). All other attributes are encoded in the same way.

Table 3 Coding of effects of the attributes of the improvement plan for the choice experiment in Los Mármoles National Park, Mexico. 

Chosen level Protection of biodiversity Spaces for recreation Forest health Access roads and parking
EPB BPB EER BER ESF BSF EVA BVA
Excellent 1 0 1 0 1 0 1 0
Good 0 1 0 1 0 1 0 1
Insufficient -1 -1 -1 -1 -1 -1 -1 -1

EPB = excellent protection of biodiversity; BPB = good protection of biodiversity; EER = excellent space for recreation; BER = good space for recreation; ESF = excellent forest health; BSF = good forest health; EVA = excellent access routes; BVA = good access routes. Source: own elaboration based on the procedure developed by Holmes and Adamowics (2003) and Tudela-Mamani and Leos-Rodriguez (2018).

Results and discussion

The socio-economic profile of PNLM visitors indicates that the age of the heads of household varied between 30 and 49 years old (54 %); 75 % were male and 25 % female. Of the sample, 67 % have at least finished high school (just over 32 % with a bachelor's degree and 12 % with postgraduate studies). Most visitors (57 %) have incomes of less than 9 000 MXN per month and come mainly from two (Zimapán and Jacala) of the four municipalities where the park is located. Table 4 details the socio-economic characteristics of the visitors interviewed.

Table 4 Socio-economic Variables of the visitors interviewed (n = 141) for the choice experiment in Los Mármoles National Park, Mexico. 

Variable Category Number Percentage (%)
Sex Woman 38 27
Men 103 73
Age (years) 18-29 32 23
30-39 34 24
40-49 42 30
50-59 24 17
> 60 9 6
Schooling Truncated primary 2 1
Full primary 10 7
Junior High school 33 23
High School 32 23
Bachelor 45 32
Post Graduate 19 13
Income (MXN) ≤5 000 42 30
5 001 to 9 000 38 27
9 001 to 17 000 39 28
17 001 to 25 000 15 11
> 25 000 7 5
Willingness to pay (MXN) 0 18 13
10.00 61 43
15.00 21 15
20.00 18 13
25.00 23 16

Of the total number of interviewees, 13 % prefer that the current conditions of the site be maintained, which implied their willingness to pay equal to zero. On the other hand, three interviewees indicated that the implementation of the improvement program is the obligation of the authorities, so they were considered protest responses and were not included in the Econometric Analysis.

Econometric analysis of attribute valuation

From the coded data, the econometric analysis was done to estimate the parameters with the maximum likelihood estimation procedure (Greene, 2003), through an LMN (Riera & Mogas, 2006; Tudela, 2010) with the R® statistical software (R Core Team, 2016) and the support packages.CEs (Aizaki, 2012) and survival (Therneau, 2015). Two models were generated; the first considered the cross-effects between the socio-economic characteristics of the users and the constants specific to each alternative of choice (model with interactions). Both the income level and education showed a direct and significant relationship; however, in the face of possible problems of sample correlation, the additive model or without interactions was chosen, which presented a better fit.

Table 5 shows the main results of the full and reduced econometric models. For the latter, only the variables with a significance level greater than 90 % (P ≤ 0.1) were chosen, which showed a positive sign for the attributes-levels and a negative sign for the entry rate. In the reduced model, the most significant variables were BPB, ESF, EVA, Entry Rate (P ≤ 0.01) and BSF (P ≤ 0.05). None of the variables related to the attribute creation and improvement of spaces for recreation (EER and BER) were statistically significant. It is considered that there was a good fit in terms of pseudo-R2 adjusted (0.25), since it is within the recommended range for this type of study (0.20 to 0.40) and which is equivalent to an R2 of 0.70 to 0.90 for the case of the regression by ordinary least squares (Alvarez-Farizo et al., 2006; Tudela, 2010). For its part, the Chi-square test rejects the hypothesis that the slopes of the model are equal to zero (P ≤ 0.01).

Table 5 Econometric results of the additive model of the choice experiment in the evaluation of the improvement plan for Los Mármoles National Park, Mexico. 

Variable Full model Reduced model
ASC 0.010 (0.830) ns
Rate -0.066 * * (0.030) -0.054 * * * (0.017)
EPB -0.295 (0.352) ns
BPB 0.560 * * (0.223) 0.503 * * * (0.146)
EER -0.171 (0.398) ns
BER 0.409 (0.256) ns
ESF 0.500 * *(0.239) 0.540 * * * (0.205)
BSF 0.460 * * (0.193) 0.354 * * (0.161)
EVE 0.573 *(0.314) 0.745 * * * (0.178)
BVA 0.173 (0.306) ns
Comment 423 423
Probability Log -108.032 -111.053
LR test 93.745*** 87.703***
McFadden R2 0.302 0.283
McFadden R2 adjusted 0.238 0.250
Akaike information criterion 236.063 232.105

ASC = specific alternative constant (intercept); EPB = excellent protection of biodiversity; BPB = good protection of biodiversity; EER = excellent space for recreation; BER = good space for recreation; ESF = excellent forest health; BSF = good forest health; EVA = excellent access routes; BVA = good access routes; LR = probability ratio. Significance level: ** P ≤ 0.05; *** P ≤ 0.01; not significant (ns). Coefficients standard errors are in parentheses.

The additive model indicates that the level of utility that interviewees perceive increases if the proposed improvements are applied in the areas of intervention; that is, they value improvements in forest health, access routes and protection of biodiversity and exclude improvement in recreation spaces. On the other hand, it is confirmed that the level of utility of the respondents decreases with higher rates of entry to the PNLM, which is consistent with economic theory.

At the same time, the Hausman and McFadden test (Greene, 2003) produced the following results: Plan A = 6.3557, Plan B = 9.2799 and status quo = 2.3938. In all three cases, the statistic was less than the critical Chi-Square value (P ≤ 0.05; gl = 5, X2 = 11.0705), which demonstrated that there was insufficient statistical evidence to reject the IIA restriction and that the LMN model is appropriate.

Analysis of marginal willingness to pay

The coefficients obtained from the parameters of the additive conditional logit model were replaced in the DAPMg formula for each attribute. The results show that interviewees assigned higher DAPMg to improvements in access roads and parking sites on a good level (13.74 MXN). This data differs from that reported by Tudela (2010), who found that visitors to the Molino de Flores National Park in the State of Mexico value this attribute less; however, the result is consistent with the answers to the direct question that was asked to visitors about priorities to create better conditions in tourism activity, and with what was found in participatory diagnostic workshops. This reflects a widespread real need, taking into account that the conditions of access to the site are by dirt track on a path of approximately 6 km.

Although the biodiversity protection attribute is important, as it generates stability in the ecosystem and allows users to have scenic beauty, the interviewees showed a higher level of preference towards other attributes. It is natural that these preferences are due to safety and comfort interests in a timely and immediate manner; however, visitors feel the need to preserve the environment that will subsequently contribute to the expected Community Economic Development.

Second in importance, respondents ranked forest health intervention at an excellent level (9.97 MXN) and another smaller group considered paying only 6.54 MXN (good level). It is likely that the respondents prioritize the improvement in the attribute of forest health in the two levels of intervention, due to the increasing presence of affectations plant-associated pest bark beetle in the PNLM (CONAFOR, 2015; Del-Val & Sáenz-Romero, 2017) and technical reports, sanitation forestry in the PNLM, provided by operational staff of CONANP). The population knows this situation at the regional level and may have influenced the choice of improvement plans, considering that 51 % of the interviewees are from municipalities that make up the PNLM.

Table 6 Estimation of the marginal willingness to pay (DAPMg) for the attributes of the improvement plan in Los Mármoles National Park, Mexico. 

Attribute DAPMg (MXN) Lower limit (5 %) Upper limit (95 %)
Good protection of biodiversity 9.28 5.11 18.06
Good forest health 6.54 1.90 14.02
Excellent forest health 9.97 3.61 22.67
Excellent improvement of access roads and parking places 13.74 7.80 27.55

On the other hand, the attribute improvement in spaces for recreation was not significant (P > 0.05). This result coincides with what Tudela (2010) reports in his research on choice experiments in the prioritization of management policies in the Molino de Flores National Park, where visitors expressed a greater preference for the improvement of plant cover and for the restoration of old buildings. In forest ecosystems on Navarino Island in Chile, Cerda (2010) evaluated the economic preferences of the local community to development options that involved some loss of Environmental Services and found that a low-impact development model represented by low-scale tourism was favoured. In both cases and in the present study congruence is observed in preferences for attributes involving environmental improvements. On the contrary, given the increase in the area of forests in Catalonia, Riera and Mogas (2006) found that the attribute of greatest value for users was the collection of mushrooms and field days, while the least valued corresponded to erosion control.

From these results, the responsible of the administration of the PNLM have more information for designing the strategies of management of environmental assets; for example, in the planning of ecotourism activities the improvements in the attributes with higher implicit prices should be prioritized (forest health and biodiversity protection and access roads) and secondly the less valued by the interviewees (creation and improvement of the spaces for the recreation). This indicates that the respondents assess the current pristine conditions of the site where the conservation of the environment is favored, which guides to make minimal changes to the tourist infrastructure; in this sense, improvements should be focused only on compliance with the applicable rules on eco-tourism and adventure tourism.

This argument reinforces the points made by Martínez (2015) and Mendoza, Figueroa, and Godinez (2015), who indicate that the management policies of the NPA must be approached with a vision that includes all the actors involved (users and residents of the communities within the PNLM and its area of influence) in these areas of Environmental Conservation and that they seek Development Alternatives in communitarian tourism (López, Favila, Hernández, Guzmán, & Osorio, 2019). In this sense, the choice experiments are a useful tool to replicate in order to help the management of handling policies in National Parks, areas of protection of Flora and Fauna, and Biosphere Reserves, considering that at least 100 of the federal NPAs have the tourist potential for their visitation (CONANP, 2019).

Conclusions

Visitors to Los Mármoles National Park are willing to pay more for improved forest health and biodiversity protection in an aggregate manner (16.51 MXN), followed by improvements in access roads and parking spaces (13.74 MXN). The conditioning of spaces for recreation was not significant, reflecting the social preference for the conservation of undisturbed landscape conditions. The use of choice experiments in the management of policies for the handling of protected natural areas allowed the identification of areas of opportunity with the opinion of the actors involved in the planning of the daily activities, exploitation and conservation in these protected areas. Those responsible for the administration of protected natural areas should assess the evidence obtained in the formulation of management plans that generate greater social benefit, ecosystem conservation and mitigation of the effects of climate change.

References

Álvarez-Farizo, B., Gil, J. M., & Howard, B. J. (2005). Evaluación de impactos ambientales derivados de estrategias de restauración a través de las decisiones de jurados de ciudadanos. Economía Agraria y Recursos Naturales, 5(10), 19‒39. doi: 10.7201/earn.2005.10.02 [ Links ]

Alpizar, F., Carlsson, F., & Martinsson, P. (2001). Using choice experiments for non-market valuation. Retrieved from https://www.researchgate.net/publication/5094707_Using_Choice_Experiments_for_Non-Market_ValuationLinks ]

Aizaki, H. (2012). Basic functions for supporting an implementation of choice experiments in R. Journal of Statistical Software, 50(02), 1‒24. doi: 10.18637/jss.v050.c02 [ Links ]

Bekker-Grob, E. W., Ryan, M., & Gerard, K. (2012). Discrete choice experiments in health economics: a review of the literature. Health Economics, 21(2), 145‒172. doi: 10.1002/hec.1697 [ Links ]

Bennett, J., & Adamowicz, V. (2001). Some fundamentals of environmental choice modeling. In J. Bennett, & R. Blamey (Eds.), The choice modelling approach to environmental valuation (pp. 37‒79). Cheltenham, UK & Northampon, MA, USA: Edward Elgar Publishing. [ Links ]

Blamey, R., Gordon, J., & Chapman, R. (1999). Choice modelling: assessing the environmental values of water supply options. The Australian Journal of Agricultural and Resource Economics, 43(3), 337‒357. Retrieved from http://ageconsearch.umn.edu/ bitstream/117163/2/1467-8489.00083.pdfLinks ]

Brouwer, R., Bliem, M., Getzner, M., Kerekes, S., Milton, S., Palarie, T., …Wagtendonk, A. J. (2016). Valuation and transferability of the non-market benefits of river restoration in the international Danube river basin using a choice experiment. Ecological Engineering, 87, 20‒29. doi: 10.1016/j.ecoleng.2015.11.018 [ Links ]

Carson, R., & Czajkowski, M. (2014). The discrete choice experiment approach to environmental contingent valuation. In S. Hess, & A. Daly (Eds.), Handbook of choice modeling (pp. 202‒228). Cheltenham, UK: Edward Elgar Publishing. [ Links ]

Cerda, C. (2011). Una aplicación de experimentos de elección para identificar preferencias locales por opciones de conservación y desarrollo en el extremo sur de Chile. Bosque, 32(3), 297‒307. doi: 10.4067/S0717-92002011000300011 [ Links ]

Comisión Nacional de Áreas Naturales Protegidas. (CONANP). (2019). Áreas Naturales Protegidas decretadas en México. Retrieved November 15, 2019 from http://sig.conanp.gob.mx/website/pagsig/datos_anp.htmLinks ]

Comisión Nacional Forestal (CONAFOR). (2015). Alerta temprana para insectos descortezadores. Retrieved from http://www.conafor.gob.mx:8080/documentos/docs/15/6686Informe%20Descortezadores%20Septiembre.pdfLinks ]

Consejo Nacional de Evaluación de la Política de Desarrollo Social (CONEVAL). (2016). Diagnóstico sobre la creación o modificación sustancial de programas presupuestarios a incluirse en el proyecto de Presupuestos de Egresos de la Federación para el Ejercicio Fiscal 2016. Programa Presupuestario U035 Programas de Manejo de Áreas Naturales Protegidas. Retrieved from https://www.gob.mx/cms/uploads/attachment/file/155447/U035_2016_CONEVAL_17022016.pdfLinks ]

Consejo Nacional de Población (CONAPO). (2012). Número, tamaño y composición de los hogares en México. Retrieved March 31, 2017 from http://www.reformapolitica.gob.mx/en/Violencia_Familiar/Tamao_de_la_poblacin_y_hogares_en_MxicoLinks ]

Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO). (2009). Capital natural de México, vol. II: Estado de conservación y tendencias de cambio. México: Author. [ Links ]

Congreso de la Unión (2015). Ley Federal de Derechos para el ejercicio fiscal 2016. México: Diario Oficial de la Federación el 18 de noviembre de 2015. Retrieved from https://www.gob.mx/cms/uploads/attachment/file/164194/Ley_Federal_de_Derechos.pdfLinks ]

Del-Val, E., & Sáenz-Romero, C., (2017). Insectos descortezadores (Coleoptera: Curculionidae) y cambio climático: problemática actual y perspectivas en los bosques templados. TIP Revista Especializada en Ciencias Químico-Biológicas, 20(2), 53‒60. doi: 10.1016/j.recqb.2017.04.006 [ Links ]

Durand, L., & Jiménez, J. (2010). Sobre áreas naturales protegidas y la construcción de no-lugares. Notas para México. Revista Líder, 16(12), 59‒72. Retrieved from http://ceder.ulagos.cl/lider/images/numeros/16/[LIDERVol16A%C3%B1o12-2010-ISSN-0717-0165]4.-Sobre%C3%A1reasnaturalesprotegidas.pdfLinks ]

Greene, W. H. (2003). Econometric analysis (5th ed.). USA: Prentice Hall. [ Links ]

Hensher, D., Rose, J., & Greene, W. (2005). Applied choice analysis: A primer. Cambridge, UK: Cambridge University Press. [ Links ]

Holmes, T., & Adamowicz, W. (2003). Atribute-based methods. In P. A. Champ, K. J. Boyle, & T. C. Brown (Eds.), A primer nonmarket valuation (pp. 171-219). Netherlands: Springer. doi: 10.1007/978-94-007-0826-6 [ Links ]

IBM SPSS Statistics. (2015). Statistical Package for Social Sciences: SPSS versión 23. USA: Author. [ Links ]

Lancaster, K. (1966). A new approach to consumer theory. Journal of Political Economy, 74,132-157. Retrieved from https://www.jstor.org/stable/1828835Links ]

López, O. A., Favila, C. H., Hernández, L. R., Guzmán, H. C., & Osorio, M. A. (2019). Desafíos del turismo sustentable desde la dimensión local: el caso de los municipios de Isidro Fabela y Jilotzingo, Estado de México. El Periplo Sustentable, 36, 67‒99. Retrieved from https://rperiplo.uaemex.mx/ article/view/9251Links ]

Louviere, J., Hensher, D., & Swait, J. (2000). Stated choice methods: analysis and application. USA: Cambridge University Press. [ Links ]

Martínez, J., (2015). Las áreas naturales protegidas como herramienta para el cuidado y gestión de los recursos naturales: caso de la reserva de la biosfera de La Sepultura en el estado de Chiapas. Revista Mexicana de Ciencias Agrícolas, 2, 261‒271. Retrieved from https://www.redalyc.org/pdf/2631/263141553031.pdfLinks ]

McFadden, D. (1974). Conditional logit analysis of qualitative choice behaviour. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 105‒142). New York, USA: Academic Press. Retrieved from https://eml.berkeley.edu/reprints/mcfadden/zarembka.pdf [ Links ]

Mendoza, M., Figueroa, E., & Godínez, L. (2015). Turismo comunitario pro-pobre en el ejido El Rosario, Reserva de la Biósfera Mariposa Monarca. El Periplo Sustentable , 29, 92‒119. Retrieved from http://hdl.handle.net/20.500.11799/41319Links ]

Pabon-Zamora, L., Bezaury-Creel, J., León, F., Gil, L., Stolton, S., Groves, A., Mitchell, S., & Dudley, N. (2008). Valorando la naturaleza: beneficios de las áreas naturales protegidas. USA: The Nature Conservancy-CDB. [ Links ]

Quintero, J. L., (2004). Los impactos económicos, socioculturales y medioambientales del turismo y sus vínculos con el turismo sostenible. Anales del Museo de América, 12, 263‒274. Retrieved from https://dialnet.unirioja.es/servlet/articulo?codigo=1180522Links ]

Ramírez-Cruz, S., Sánchez-González, A., & Tejero-Díez, D. (2009). La pteridoflora del Parque Nacional Los Mármoles, Hidalgo, México. Boletín de la Sociedad Botánica de México, 84, 35‒45. Retrieved from https://www.redalyc.org/pdf/577/57712091004.pdfLinks ]

Randell-Badillo, J. (2008). Ordenamiento ecológico territorial regional en los municipios donde se ubica el Parque Nacional Los Mármoles. Retrieved from http://www.conabio.gob.mx/institucion/cgi-bin/datos.cgi?Letras=DQ&Numero=6Links ]

Riera, P., & Mogas, J., (2006). Una aplicación de los experimentos de elección a la valoración de la multifuncionalidad de los bosques. Interciencia, 31(2), 110‒115. Retrieved from https://www.redalyc.org/pdf/339/33911306.pdfLinks ]

Rocamora, B., Colombo, S., & Glenk, K. (2014). El impacto de las respuestas inconsistentes en las medidas de bienestar estimadas con el método de experimentos de elección. Economía Agraria y Recursos Naturales , 14(2), 27‒48. doi: 10.7201/earn.2014.02.02 [ Links ]

Therneau, T. M. (2015). A package for survival analysis in R. version 2.38. Retrieved from https://CRAN.R-project.org/package=survivalLinks ]

Tudela, J. W. (2010). Experimentos de elección en la priorización de políticas de gestión en Áreas Naturales Protegidas. Desarrollo y Sociedad, 66, 183‒217. Retrieved from https://revistas.uniandes.edu.co/doi/pdf/10.13043/dys.66.6Links ]

Tudela-Mamani, J. W., & Leos-Rodríguez, J. A. (2018). Estimation of economic benefits due to improvements in basic sanitation services through choice experiments. Revista Chapingo Serie Ciencias Forestales y del Ambiente, 24(2), 237‒250. doi: 10.5154/r.rchscfa.2017.05.037 [ Links ]

Unión Internacional para la Conservación de la Naturaleza (UICN). (2016). El 15% de las tierras del planeta están protegidas, pero quedan excluidas áreas cruciales para la biodiversidad. Retrieved January 25, 2019 from https://www.iucn.org/es/news/secretariat/201609/el-15-de-las-tierras-del-planeta-est%C3%A1n-protegidas-pero-quedan-excluidas-%C3%A1reas-cruciales-para-la-biodiversidadLinks ]

Received: June 03, 2019; Accepted: February 19, 2020

* Corresponding author: jhdzo@yahoo.com.mx, tel.: +52 595 952 1500 ext. 5718.

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