Institutional coordination arrangements as elements of policy design spaces (doi:10.11588/data/D7H3OL)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Institutional coordination arrangements as elements of policy design spaces

Identification Number:

doi:10.11588/data/D7H3OL

Distributor:

heiDATA

Date of Distribution:

2023-01-23

Version:

1

Bibliographic Citation:

von Lüpke, Heiner; Leopold, Lucas; Tosun, Jale, 2023, "Institutional coordination arrangements as elements of policy design spaces", https://doi.org/10.11588/data/D7H3OL, heiDATA, V1, UNF:6:j2Gr4tntXdTLs/Xd/UP6IQ== [fileUNF]

Study Description

Citation

Title:

Institutional coordination arrangements as elements of policy design spaces

Subtitle:

insights from climate policy

Identification Number:

doi:10.11588/data/D7H3OL

Authoring Entity:

von Lüpke, Heiner (DIW)

Leopold, Lucas (KU Leuven)

Tosun, Jale (Heidelberg University)

Distributor:

heiDATA

Access Authority:

Tosun, Jale

Date of Deposit:

2022-11-17

Holdings Information:

https://doi.org/10.11588/data/D7H3OL

Study Scope

Keywords:

Social Sciences, adaptation, climate change, coordination bodies, horizontal policy coordination, mitigation, policy design

Abstract:

This study offers insights into the institutional arrangements established to coordinate policies aiming at the mitigation of and adaptation to climate change. Drawing on the literature on policy design, we highlight institutional arrangements as elements of policy design spaces and contend that they fall into four categories that either stress the political or problem orientation of this activity: optimal, technical, political, and sub-optimal. We use original data on 44 major economies and greenhouse gas-emitting countries to test this expectation. These data capture various properties of national coordination arrangements, including the types of coordination instruments in place, the degree of hierarchy, the lead government agency responsible for coordination, and the scope of cross-sectoral policy coordination. The dataset also captures the degree to which non-state actors are involved in coordination and whether coordination processes are supported by scientific knowledge. Using cluster analysis, we show that the institutional arrangements for the horizontal coordination of climate policy do indeed fall into the four abovementioned categories. The cluster analysis further reveals that a fifth, hybrid category exists. Interestingly, the political orientation dominates in the institutional arrangements for the horizontal coordination of climate change mitigation, whereas the problem orientation is more important in the arrangements for the horizontal coordination of climate change adaptation.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

von Lüpke, H., Leopold, L. & Tosun, J. Institutional coordination arrangements as elements of policy design spaces: insights from climate policy. Policy Sci (2022).

Identification Number:

10.1007/s11077-022-09484-0

Bibliographic Citation:

von Lüpke, H., Leopold, L. & Tosun, J. Institutional coordination arrangements as elements of policy design spaces: insights from climate policy. Policy Sci (2022).

File Description--f10308

File: dataset_luepke_et_al_2023.tab

  • Number of cases: 154

  • No. of variables per record: 35

  • Type of File: text/tab-separated-values

Notes:

UNF:6:j2Gr4tntXdTLs/Xd/UP6IQ==

Variable Description

List of Variables:

Variables

id

f10308 Location:

Summary Statistics: Valid 154.0; Max. 154.0; Mean 77.5; StDev 44.60007473835292; Min. 1.0

Variable Format: numeric

Notes: UNF:6:3IF+30Kn6aYW7a6YaCjUeQ==

name

f10308 Location:

Variable Format: character

Notes: UNF:6:yvTUoehGp6IbKywg6s7cgg==

country

f10308 Location:

Variable Format: character

Notes: UNF:6:ix3uoHrs09dPNUhHEwDVMg==

COWcode

f10308 Location:

Summary Statistics: Min. 2.0; Max. 920.0; Valid 154.0; StDev 260.70917668331595; Mean 419.7727272727274;

Variable Format: numeric

Notes: UNF:6:w+CKBpNYikzffdB4l1buuw==

hierarchical

f10308 Location:

Summary Statistics: Valid 117.0; Mean 0.7948717948717949; Min. 0.0; StDev 0.40553203747885436; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:D8wHYELg5pqAAV3f1GQWDQ==

lead_agency

f10308 Location:

Variable Format: character

Notes: UNF:6:/gWAWQIUZAvZky0feG06Uw==

scndry_ag

f10308 Location:

Variable Format: character

Notes: UNF:6:xGHLmK74o3kDyFUxWY9tIA==

trtry_ag

f10308 Location:

Variable Format: character

Notes: UNF:6:fep68DcB3DuFEMdpYIGD0Q==

HoG

f10308 Location:

Summary Statistics: Valid 133.0; StDev 0.4243929362276084; Min. 0.0; Mean 0.23308270676691728; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:P7tcoYK5NxWnJLYOKllESQ==

knowledge

f10308 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Valid 94.0; Mean 0.5957446808510638; StDev 0.4933787163701945;

Variable Format: numeric

Notes: UNF:6:ZkGHa8R0FN+DdV/Ri1Aqjg==

adaptation

f10308 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Valid 137.0; StDev 0.42918437429164336; Mean 0.7591240875912408;

Variable Format: numeric

Notes: UNF:6:dckWAkV2akHzX3Ec7Gs4lQ==

mitigation

f10308 Location:

Summary Statistics: Valid 138.0; Min. 0.0; Max. 1.0; StDev 0.403622651875949; Mean 0.7971014492753623;

Variable Format: numeric

Notes: UNF:6:KUQ4htL00dIZZyq1sNcLoQ==

academia

f10308 Location:

Summary Statistics: StDev 0.3694505904979986; Max. 1.0; Mean 0.16153846153846158; Min. 0.0; Valid 130.0;

Variable Format: numeric

Notes: UNF:6:P2HwmrBNyhqGAHxk65VnNw==

priv_sector

f10308 Location:

Summary Statistics: StDev 0.25482815423967997; Min. 0.0; Mean 0.06923076923076918; Max. 1.0; Valid 130.0

Variable Format: numeric

Notes: UNF:6:j8XyC36n70S1Dzm7r8qPTw==

NGOs_civilsoc

f10308 Location:

Summary Statistics: Mean 0.09999999999999998; Min. 0.0; Valid 130.0; Max. 1.0; StDev 0.30116054591962166

Variable Format: numeric

Notes: UNF:6:bq6OBqTU977XQrrQoe6/CQ==

state_ag

f10308 Location:

Summary Statistics: Valid 130.0; Mean 0.25384615384615383; StDev 0.436894226667245; Min. 0.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:TDfKEVcpRCkDpo/TzgCBqg==

group(level)

f10308 Location:

Summary Statistics: Mean 2.423357664233577; Min. 1.0; Valid 137.0; Max. 3.0; StDev 0.5520367067029568

Variable Format: numeric

Notes: UNF:6:TJbkRURZFJFPaDefnrekqA==

year_num

f10308 Location:

Summary Statistics: StDev 7.347773998725568; Mean 2008.6259541984732; Valid 131.0; Max. 2020.0; Min. 1990.0;

Variable Format: numeric

Notes: UNF:6:SkHD4+XNHzwzChGu+Xw6KQ==

complete

f10308 Location:

Summary Statistics: Max. 1.0; Valid 154.0; StDev 0.5005726285518511; Min. 0.0; Mean 0.5324675324675328

Variable Format: numeric

Notes: UNF:6:+7dczqg8eH8UcNWimhP2QA==

dedmin

f10308 Location:

Summary Statistics: Mean 0.31818181818181807; Max. 2.0; StDev 0.6335350087003561; Valid 154.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:nQWX7JW4mpM9vrbwb5QI8Q==

year_axis

f10308 Location:

Summary Statistics: Valid 31.0; Min. 1990.0; StDev 9.092121131323903; Mean 2005.0; Max. 2020.0;

Variable Format: numeric

Notes: UNF:6:CqCDtu511jLWvch1xbj86g==

sum_c1

f10308 Location:

Summary Statistics: Min. 0.0; StDev 3.7416573867739413; Valid 31.0; Max. 11.0; Mean 5.0

Variable Format: numeric

Notes: UNF:6:yYQbMIT67DRkgH8ttD8SKg==

sum_c2

f10308 Location:

Summary Statistics: Valid 31.0; Min. 0.0; Max. 3.0; StDev 1.193170530133264; Mean 0.9032258064516133

Variable Format: numeric

Notes: UNF:6:a2/zNmP4NM3ZJOBt1dpFTg==

sum_c3

f10308 Location:

Summary Statistics: Valid 31.0; Max. 12.0; Min. 0.0; Mean 5.258064516129032; StDev 3.898441927535358

Variable Format: numeric

Notes: UNF:6:8Ks+R18NdViP4KT1dp9aAQ==

sum_c4

f10308 Location:

Summary Statistics: Mean 11.612903225806454; StDev 9.534769423378274; Max. 28.0; Valid 31.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:b4LZiE+nXl5zPZh3kcwe1Q==

sum_c5

f10308 Location:

Summary Statistics: Min. 0.0; Mean 8.774193548387093; Valid 31.0; Max. 25.0; StDev 8.224798588899121

Variable Format: numeric

Notes: UNF:6:FLw6M3m3SQrsW9McDTpC5Q==

rel_c1

f10308 Location:

Summary Statistics: Mean 0.45454545943967756; Valid 31.0; StDev 0.340150672104177; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:g3UT7JW8kbZmo7l3BbFNdg==

rel_c2

f10308 Location:

Summary Statistics: Min. 0.0; Valid 31.0; Mean 0.3010752729831202; StDev 0.3977235131688372; Max. 1.0

Variable Format: numeric

Notes: UNF:6:sNlt6F6U3h9BQInEsAtZFg==

rel_c3

f10308 Location:

Summary Statistics: Max. 1.0; StDev 0.32487015985799894; Min. 0.0; Mean 0.4381720430908663; Valid 31.0

Variable Format: numeric

Notes: UNF:6:dscd9eIoXL1TNWU/+AISSw==

rel_c4

f10308 Location:

Summary Statistics: Min. 0.0357142873108387; Max. 1.0; StDev 0.3405274788303309; Mean 0.41474654645689074; Valid 31.0;

Variable Format: numeric

Notes: UNF:6:GKBsG6yaB465TiVpk1QBQA==

rel_c5

f10308 Location:

Summary Statistics: Max. 1.0; Valid 31.0; Min. 0.0; StDev 0.3289919448286216; Mean 0.3509677422623479;

Variable Format: numeric

Notes: UNF:6:xM2254OLqO5mLVkFGJ8j6A==

focus

f10308 Location:

Summary Statistics: StDev 0.853726018210301; Min. 1.0; Max. 3.0; Mean 2.220183486238532; Valid 109.0;

Variable Format: numeric

Notes: UNF:6:Ou/I37fu2AEIoZGn/Cfw4A==

mitig_sum

f10308 Location:

Summary Statistics: Min. 0.0; Mean 2.668831168831172; Valid 154.0; Max. 28.0; StDev 6.613568143765109;

Variable Format: numeric

Notes: UNF:6:Fcq93guFM9YXpFQGwaazAQ==

adapt_sum

f10308 Location:

Summary Statistics: Min. 0.0; Valid 154.0; Mean 1.2532467532467533; Max. 21.0; StDev 4.275728257828521

Variable Format: numeric

Notes: UNF:6:FOa9LIPWS9ENyDQ5Z3sLbQ==

both_sum

f10308 Location:

Summary Statistics: Min. 0.0; Mean 3.8051948051948106; Valid 154.0; Max. 50.0; StDev 10.73268657293757

Variable Format: numeric

Notes: UNF:6:8dksPdk+OSxDtJVzCSBegg==

Other Study-Related Materials

Label:

dofile_luepke_et_al_2023.do

Notes:

application/x-stata-syntax