Improving Natural Resource Management Ecological And Political Models 1st Edition Timothy C. Haas - Solutions

Discover the ultimate resource for mastering "Improving Natural Resource Management Ecological And Political Models" by Timothy C. Haas. Access our comprehensive online solutions manual and answers key, providing step-by-step answers and solutions in PDF format. Benefit from solved problems and detailed chapter solutions, designed to enhance your understanding of the textbook. Our instructor manual and test bank offer in-depth questions and answers, ensuring you're well-prepared for any challenge. Enjoy the convenience of a free download and elevate your learning experience with meticulously crafted resources tailored to your educational journey.

2 What are the limitations to the concept of ‘dominance’ effects in shaping the transfer of practices across borders?
1 Why are some HR practices more diffusible than others?
3 What conceptual and methodological issues need to be taken into account when studying HRM integration (or transfer) in foreign MNC subsidiaries?
2 What tools of global integration can MNCs use to achieve tighter HRM integration among their foreign subsidiaries, and what kinds of things are likely to determine their effectiveness?
1 (a) What are the key drivers of global HRM integration? (b) Which drivers do you think are currently the most influential and which drivers do you think will be the most influential in the future, and why?
5 What are the sources of the ‘country-of-origin’ effect in MNCs?
4 What sources of power do managers in the operating units of MNCs commonly hold?
3 Why do Bartlett and Ghoshal see the ‘transnational’ as the ‘solution’ to managing across borders?
2 Why do firms ‘internalize’ a competitive advantage and what are the implications of doing so for their role as employers?
1 What are the relative strengths and weaknesses of the narrow and broad definitions of MNCs?
5 What do you understand by the terms ‘hard’ and ‘soft’ law in the context of the EU? Examine the relationship between them during the evolution of employment policy in the EU. What are the implications for human resource managers?
4 To what extent has the EU had to amend its institutional framework to accommodate growing membership? Do you believe that these amendments were ‘inevitable’? Do you believe they are likely to lead to further political integration of the member states, if not to a federal Europe?
3 To what extent has the EU succeeded in establishing a common floor of workers’ rights across its member states? Examine the obstacles that stand in the way of achieving this objective.
2 Is it possible to identify a coherent ‘European social model’? If so, how would you characterize its features?
1 Why might regional integration agreements (RIAs) require the coordination of employment and social policies? Why might these requirements become more urgent as economic integration deepens between the member states of an RIA?
4 How might locations with high labour costs and employee-friendly legislation compete for investment from MNCs?
3 It is often assumed that MNCs seek to have uniform HRM policies across their global operations. Under what circumstances might senior executives in MNCs prefer not to pursue uniformity?
2 What is meant by the phrase ‘country-of-origin effects’ when discussing HRM in MNCs? Can you identify any ways in which international HRM might differ between US and Japanese-owned MNCs?
1 At a general level, how would you expect patterns of HRM to differ between liberal market economies (LMEs) and coordinated market economies (CMEs)?
4 How far do you feel it is helpful to distinguish between different ‘levels of analysis’ (i.e. global, regional, national and organizational) in understanding international HRM? Why might these distinctions be considered ultimately misleading?
3 To what extent can multinational companies usefully be described as ‘political actors’?
2 In what ways might international HRM practices in MNCs be shaped and constrained by the ‘home’ and ‘host’ countries in which companies operate?
1 What is meant by economic globalization, and what has been distinctive about the role of ‘neo-liberalism’ and ‘financialization’ in the past two decades?
5. For the climate model chosen in the previous problem, and Sea Surface Temperature data from the Global Observing Systems Information Center (GOSIC 2010), compute OSARMSPE values for the annual average temperature at Bermuda, and at Murmansk, over the years 1990 through 2010.
4. Program either the energy balance climate model of Shell and Somerville(2005) or the atmosphere–land coupled climate model of Fan et al. (2004).Conduct a deterministic sensitivity analysis under a critic-supplied output of zero mean temperature increase 50 years into the future. Which
3. Test the hypothesis that an actor’s relative power is not important to a rural resident or pastoralist. Do this by modifying these group IDs so that the conditional distributions of actor image nodes place .99 probability on the parity value for every actor. Use the MC hypothesis test
2. Do prediction errors increase as the prediction time becomes farther removed from the most recent observation time? Assess this by setting the most recent observation time to January 1, 2002. Then, compute predictions forward to January 1, 2009. Find error rates within a moving window of five
1. Assess the simulator’s sensitivity to parameters that define the Overall Goal Attainment node within the rural resident group IDs. Do this by running the sensitivity analysis option of id and allowing only parameters of the OGA node to define the optimization search space.ASSESSING THE
2. Say that there are 2000 cheetahs in all of Tanzania. After looking up the area of this country, find all values of ξC and ρC for which the areal detection fraction estimator gives this value exactly. What sets of these parameter values are not to be expected of rural residents in Tanzania?
2 image from (say) http://emap-int.com and, using the method of Laliberte and Ripple (2003), count the number of horses in this image.
1. The Brandenburg Gate in Berlin, Germany, is located at 52 ◦31N latitude and 13 ◦22.6E longitude. There is a statute on top of this gate that includes four life-sized horses.Download an appropriateWorldView-1 orWorldView-
5. Use the word reserve instead of ‘preserve’ when referring to wildlife reserves (preserves) and/or wildlife sanctuaries. See, for example, the website www.game-reserve.com.
4. Construct declarative (active voice) phrases. In particular, place the action’s verb as close as possible to the beginning of the phrase, e.g.move 400 elephants instead of 400 elephants are moved.
3. Express an action in the present tense, for example, award personnel instead of awarded personnel.
4 antelopes die instead of four antelopes die. If unit or scale designation is needed, enter a number followed by the unit or scale, for example, km2, K, or M. Some examples of these conventions are:ACTION TAXONOMIES, COLLECTION PROTOCOLS, AND EXAMPLE 139 4 rhinos translocated, 500km2 forest, 5K
2. Express numbers numerically rather than with words, for example, enter
1. Use only alpha numeric characters.
3. Simplify the population dynamics SDE so that cheetah birth and death rates are nonrandom. Then, rerun the simulator over the time period 1997 to 2060.Comment on any differences in the output from this newpopulation dynamics model relative to Figure 8.5, above.
2. Construct an ecosystem ID for the conservation of great white sharks(Carcharodon carcharias) along the east coast of the USA. Use the cheetah conservation ID of this chapter to get started.
1. Modify parameter values of the ecosystem ID so that the model predicts the cheetah’s extinction in 25 years.
2. Construct a group ID of a for-profit tourist lodge in the Serengeti that is owned by an investment group in Europe.
1. Construct a group ID of private landowners in Kenya that includes the possible output action of converting pasture for commercial livestock into a wildlife reserve.
2. Construct a group decision-making ID of a landowner’s decision to cut down or not cut down forest that is growing on his/her land using the context of Hoffmann et al. (2002).
1. Construct a group decision-making ID of an unemployed worker’s decision making using the context of Renaud (1989).
17. As new data becomes available, repeat steps 11 through 16.
16. Implement this MPEMP.
15. Use id to construct the MPEMP (see Chapter 4) for this ecosystem. Place this plan in the MPEMP directory.
14. Conduct an analysis of the IntIDs model’s reliability (see Chapter 12)by using id to perform a sensitivity analysis and compute one-stepahead prediction error rates. Place the results of these analyses in the model reliability directory.
13. Place the results of this analysis in the out files directory.
12. Use id to fit all parameters in the political–ecological system simulator to this data using consistency analysis.
11. Store this political–ecological data in the data sets directory.
10. Acquire ecosystem state data, for example, spatio-temporal species abundance data.
9. Acquire group actions history data.
8. Store all id language files and hypothesis parameter files in the EMT’s input files directory.
7. Use ecological theory to give hypothesis values to the ecosystem ID’s parameters.Place these values in the ecosystem ID’s hypothesis parameter file.
6. Create an id language file that defines the EMT’s political–ecological system simulator as an IntIDs model by including influence diagram words for all of the above ID models in this id language file.
5. Construct a stochastic and dynamic model of the at-risk species identified in step 1 and express this model in the id language.
4. Use social science theory to assign hypothesis values to group ID parameters.Place these values in group ID hypothesis parameter files.
3. Construct stochastic decision-making models of each group identified in step 2 and express each of these models in the id language.
2. Identify political groups in ecosystem-hosting countries that directly or indirectly affect the ecosystem.78 MANAGING A POLITICAL–ECOLOGICAL SYSTEM
1. Identify an ecosystem with one or more at-risk species of plants or animals.
3. Find the best set of ecosystem state values that can be reached by any change in group beliefs. Do this by iterating the following two steps. First, make a small change to qd as given in the example of this chapter in the direction of increased ecosystem health. Second, rerun id’s MPEMP
2. Repeat Exercise 1 but under the restriction that the belief systems of the president and the rural residents cannot be changed.
1. Using id, find the MPEMP in the East African cheetah EMT under the restriction that the belief systems of the rural residents cannot be changed.
4. Analyze (the differences between hypothesis and consistent parameter values).
3. Maximize (the agreement function).
2. Initialize (the values in β).
1. Specify (the values for βH).
5. For the climate model chosen in the previous problem, and Sea Surface Temperature data from the Global Observing Systems Information Center (GOSIC 2010), compute OSARMSPE values for the annual average temperature at Bermuda, and at Murmansk, over the years 1990 through 2010.
4. Program either the energy balance climate model of Shell and Somerville(2005) or the atmosphere–land coupled climate model of Fan et al. (2004).Conduct a deterministic sensitivity analysis under a critic-supplied output of zero mean temperature increase 50 years into the future. Which
3. Test the hypothesis that an actor’s relative power is not important to a rural resident or pastoralist. Do this by modifying these group IDs so that the conditional distributions of actor image nodes place .99 probability on the parity value for every actor. Use the MC hypothesis test
2. Do prediction errors increase as the prediction time becomes farther removed from the most recent observation time? Assess this by setting the most recent observation time to January 1, 2002. Then, compute predictions forward to January 1, 2009. Find error rates within a moving window of five
1. Assess the simulator’s sensitivity to parameters that define the Overall Goal Attainment node within the rural resident group IDs. Do this by running the sensitivity analysis option of id and allowing only parameters of the OGA node to define the optimization search space.ASSESSING THE
2. Say that there are 2000 cheetahs in all of Tanzania. After looking up the area of this country, find all values of ξC and ρC for which the areal detection fraction estimator gives this value exactly. What sets of these parameter values are not to be expected of rural residents in Tanzania?
2 image from (say) http://emap-int.com and, using the method of Laliberte and Ripple (2003), count the number of horses in this image.
1. The Brandenburg Gate in Berlin, Germany, is located at 52 ◦31N latitude and 13 ◦22.6E longitude. There is a statute on top of this gate that includes four life-sized horses.Download an appropriateWorldView-1 orWorldView-
5. Use the word reserve instead of ‘preserve’ when referring to wildlife reserves (preserves) and/or wildlife sanctuaries. See, for example, the website www.game-reserve.com.
4. Construct declarative (active voice) phrases. In particular, place the action’s verb as close as possible to the beginning of the phrase, e.g.move 400 elephants instead of 400 elephants are moved.
3. Express an action in the present tense, for example, award personnel instead of awarded personnel.
4 antelopes die instead of four antelopes die. If unit or scale designation is needed, enter a number followed by the unit or scale, for example, km2, K, or M. Some examples of these conventions are:ACTION TAXONOMIES, COLLECTION PROTOCOLS, AND EXAMPLE 139 4 rhinos translocated, 500km2 forest, 5K
2. Express numbers numerically rather than with words, for example, enter
1. Use only alpha numeric characters.
3. Simplify the population dynamics SDE so that cheetah birth and death rates are nonrandom. Then, rerun the simulator over the time period 1997 to 2060.Comment on any differences in the output from this newpopulation dynamics model relative to Figure 8.5, above.
2. Construct an ecosystem ID for the conservation of great white sharks(Carcharodon carcharias) along the east coast of the USA. Use the cheetah conservation ID of this chapter to get started.
1. Modify parameter values of the ecosystem ID so that the model predicts the cheetah’s extinction in 25 years.
2. Construct a group ID of a for-profit tourist lodge in the Serengeti that is owned by an investment group in Europe.
1. Construct a group ID of private landowners in Kenya that includes the possible output action of converting pasture for commercial livestock into a wildlife reserve.
2. Construct a group decision-making ID of a landowner’s decision to cut down or not cut down forest that is growing on his/her land using the context of Hoffmann et al. (2002).
1. Construct a group decision-making ID of an unemployed worker’s decision making using the context of Renaud (1989).
17. As new data becomes available, repeat steps 11 through 16.
16. Implement this MPEMP.
15. Use id to construct the MPEMP (see Chapter 4) for this ecosystem. Place this plan in the MPEMP directory.
14. Conduct an analysis of the IntIDs model’s reliability (see Chapter 12)by using id to perform a sensitivity analysis and compute one-stepahead prediction error rates. Place the results of these analyses in the model reliability directory.
13. Place the results of this analysis in the out files directory.
12. Use id to fit all parameters in the political–ecological system simulator to this data using consistency analysis.
11. Store this political–ecological data in the data sets directory.
10. Acquire ecosystem state data, for example, spatio-temporal species abundance data.
9. Acquire group actions history data.
8. Store all id language files and hypothesis parameter files in the EMT’s input files directory.
7. Use ecological theory to give hypothesis values to the ecosystem ID’s parameters.Place these values in the ecosystem ID’s hypothesis parameter file.

Showing 2200 - 2300 of 3756

First
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
Last

Improving Natural Resource Management Ecological And Political Models 1st Edition Timothy C. Haas - Solutions

Step by Step Answers