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\articletype{Review}
\jname{Quarterly Reviews of Biophysics}
\jyear{2024}
\jvol{0}
%\jissue{1}
\jdoi{10.1017/qrb.2024.1}

\copyrightline{\textcopyright\ The Author(s), 2023. Published by Cambridge University Press on behalf of the State Politics and Policy Section of the American Political Science Association. This is an Open Access article, distributed under the terms of the Creative Commons
Attribution-NonCommercial licence (\url{http://creativecommons.org/licenses/by-nc/4.0}), which permits non-commercial
re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written
permission of Cambridge University Press must be obtained prior to any commercial use.}


\begin{document}

\begin{Frontmatter}

\title[Gubernatorial use of executive orders]{Gubernatorial use of executive orders: unilateral action and policy adoption}

\author*[1]{Simon Devylder}
\author[2]{Christoph Bracks}
\author[3]{Poppy Siahaan}

\authormark{Simon Devylder et al.}


\address[1]{\orgname{Universit\'e de Neuch\^atel, Institut de Math\'ematiques, Rue}, \orgaddress{\street{Rue Emile-Argand 11}, \postcode{CH-2000 Neuch\^atel}, \country{Switzerland}}}
\address[2]{\orgdiv{D\'epartement de math\'ematiques et de 	statistique}, \orgname{Univer\-sit\'e Laval, Pavillon Alexandre\-Vachon}, \orgaddress{\street{1045, av. de la M\'edecine}, \city{Qu\'ebec}, \postcode{Qc G1V 0A6}, \country{Canada}}}
\address[3]{\orgdiv{D\'epartement de math\'ematiques et de statistique}, \orgname{Universit\'e de Montr\'eal}, \orgaddress{\street{CP 6128 succ Centre-Ville}, \city{Montr\'eal}, \postcode{QC H3C 3J7}, \country{Canada}}}

\corresp{\email{simon.devylder@unine.ch}}

\citethisarticle{Devylder S, Bracks C, and Siahaan P (2024) Gubernatorial use of executive orders: unilateral action and policy adoption.}


\received{04 May 2020}
\revised{10 May 2020}
\accepted{12 May 2020}

\abstract{Given a smooth compact hypersurface $M$ with boundary $\Sigma=\partial M$, we prove the existence of a sequence $M_j$ of hypersurfaces with the same boundary as $M$, such that each Steklov eigenvalue $\sigma_k(M_j)$ tends to zero as $j$ tends to infinity. The hypersurfaces $M_j$ are obtained from $M$ by a local perturbation near a point of its boundary. Their volumes and diameters are arbitrarily close to those of $M$, while the principal curvatures of the boundary remain unchanged.}

\keywords{Steklov eigenvalues; hypersurfaces; linguistic diversity; language and thought; state politics; strategic model}



\end{Frontmatter}

\section{Introduction}
Let $M$ be an $n$-dimensional smooth compact Riemannian manifold with boundary \hbox{$\Sigma=\partial M$}.  The Steklov
eigenvalue problem on $M$ consists in finding all numbers $\sigma\in\mathbb{R}$ for which there exists a nonzero function $u \in C^\infty(M)$, which solves
\begin{equation*}
    \begin{cases}
        \Delta u = 0 & \text{in  $M$,} \\
        \partial_\nu u = \sigma u & \text{on  $\Sigma$.}
    \end{cases}\vspace*{-2pt}
\end{equation*}
Here, $\Delta$ is the Laplacian induced from the Riemannian metric $g$ on $M$, and $\partial_\nu$
is the outward pointing normal derivative along the boundary $\Sigma$. The Steklov eigenvalues
form an unbounded increasing sequence
$0 = \sigma_0 \leq \sigma_1 \leq \sigma_2 \leq \dots \to \infty$, each of which is repeated according to its multiplicity.
Note that if $M$ is connected, then $\sigma_1>0$.

Presidential scholars have long emphasised the role of the executive branch in
federal policymaking. Presidents develop policies formally through unilateral
action, but they also pursue their objectives in the legislative arena. Governors fill an
analogous role within their states. They manage the bureaucracy and help set the
policy agenda through speeches, calling special sessions or taking unilateral action.
I analyse factors that explain gubernatorial use of executive orders, and I consider how
these same executive orders influence statute adoption, using lesbian, gay, bisexual and
transgender (LGBT) employment protections as an illustrative case. Presidential scholars have long emphasised the role of the executive branch in
federal policymaking. Presidents develop policies formally through unilateral
action, but they also pursue their objectives in the legislative arena. Governors fill an
analogous role within their states. They manage the bureaucracy and help set the
policy agenda through speeches, calling special sessions or taking unilateral action.
I analyse factors that explain gubernatorial use of executive orders, and I consider how
these same executive orders influence statute adoption, using lesbian, gay, bisexual and
transgender (LGBT) employment protections as an illustrative case.

Presidential scholars have long emphasised the role of the executive branch in \cite{barclay03}
federal policymaking. Presidents develop policies formally through unilateral
action, but they also pursue their objectives in the legislative arena. Governors fill an
analogous role within their states. They manage the bureaucracy and help set the
policy agenda through speeches, calling special sessions or taking unilateral action.
I analyse factors that explain gubernatorial use of executive orders, and I consider how
these same executive orders influence statute adoption, using lesbian, gay, bisexual and
transgender (LGBT) employment protections as an illustrative case. Presidential scholars have long emphasised the role of the executive branch in
federal policymaking. Presidents develop policies formally through unilateral
action, but they also pursue their objectives in the legislative arena. Governors fill an
analogous role within their states. They manage the bureaucracy and help set the
policy agenda through speeches, calling special sessions or taking unilateral action.
I analyse factors that explain gubernatorial use of executive orders, and I consider how
these same executive orders influence statute adoption, using lesbian, gay, bisexual and
transgender (LGBT) employment protections as an illustrative case. They manage the bureaucracy and help set the
policy agenda through speeches, calling special sessions or taking unilateral action.
I analyse factors that explain gubernatorial use of executive orders, and I consider how
these same executive orders influence statute adoption, using lesbian, gay, bisexual and
transgender (LGBT) employment protections as an illustrative case.\copbreak

Once data are disseminated, whatever contractual or other obligations are placed on those receiving \cite{berry90,berry99} the
data, the data are effectively out of a data providers' control. Data providers must be certain that the data
disseminated do not provide a risk of disclosure necessitating a reduction in the detail available, or they are
constrained to using a resource intensive auditing regime, and are likely to discover any data misuse only
after it has happened. Once data are disseminated, whatever contractual or other obligations are placed on those receiving the
data, the data are effectively out of a data providers' control. Data providers must be certain that the data
disseminated do not provide a risk of disclosure necessitating a reduction in the detail available, or they are
constrained to using a resource intensive auditing regime, and are likely to discover any data misuse only
after it has happened.

Presidential scholars have long emphasised the role of the executive branch in
federal policymaking. Presidents develop policies formally through unilateral
action, but they also pursue their objectives in the legislative arena. Governors fill an
analogous role within their states. They manage the bureaucracy and help set the
policy agenda through speeches, calling special sessions or taking unilateral action.
I analyse \nobreak factors that explain gubernatorial use of executive orders, and I consider how
these same \nobreak executive orders influence statute adoption, using lesbian, gay, bisexual and
transgender (LGBT) employment protections as an illustrative case. Presidential scholars have long emphasised the role of the executive branch in
federal\footnote{Governor Kate Brown of Oregon became governor in 2015, making her the first governor in the United
States to be openly LGBT while in office.} policymaking.

\section{Gubernatorial and presidential use of executive orders~across the various states}

Presidents develop policies formally through unilateral
action, but they also pursue their objectives in the legislative arena. Governors fill an
analogous role within their states. They manage the bureaucracy and help set the
policy agenda through speeches, calling special sessions or taking unilateral action.
I analyse factors that explain gubernatorial use of executive orders, and I consider how
these same executive orders influence statute adoption, using lesbian, gay, bisexual and
transgender (LGBT) employment protections as an illustrative case.


\subsection{Presidential use of executive orders is largely consistent with expectations and previous literature}

The remainder of the findings is largely consistent \cite{berry98} with expectations and previous
literature. Diffusion plays a positive role on states adopting sexual orientation\footnote{The courts and various agencies also create their own form of policy. However, I focus primarily on executive orders and
their influence on statute adoption for this article.}
protections; yet, it is not statistically significant in explaining the adoption of
transgender-inclusive statutes. As anticipated, legislatures are more likely to adopt
both forms of legislation in states where the citizens are more liberal.


\subsubsection{Third level heading with two line text style format with two line text style format  with two line text style format}

They manage the bureaucracy and help set the
policy agenda through speeches, calling special sessions or taking unilateral action.
I analyse factors that explain gubernatorial use of executive orders, and I consider how
these same executive orders influence statute adoption, using lesbian, gay, bisexual and
transgender (LGBT) employment protections as an illustrative case.

\section{Results}

\subsection{Determinants of executive orders}

The probability
of a state adopting legislation protecting \cite{boehmke09} sexual orientation increases by a
factor of 1.11 for a one-unit increase in Liberal Citizen Ideology, and the probability
increases by a factor of 2.24 for a five-unit increase in citizen ideology. This effect is
even more pronounced for transgender protections. A one-unit increase in Liberal
Citizen Ideology increases the likelihood of adoption by a factor of 1.20, and the
probability increases by a factor of 2.44 for a five-unit increase in citizen ideology.
The findings regarding the Evangelical population hint at a similar conclusion.

A one-unit increase in Liberal
Citizen Ideology increases the likelihood of adoption by a factor of 1.20, and the
probability increases by a factor of 2.44 for a five-unit increase in citizen ideology.
The findings regarding the Evangelical population hint at a similar conclusion. A one-unit increase in Liberal
Citizen Ideology increases the likelihood of adoption by a factor of 1.20, and the
probability increases by a factor of 2.44 for a five-unit increase in citizen ideology. A one-unit increase in Liberal
Citizen Ideology increases the likelihood of adoption by a factor of 1.20, and the
probability increases by a factor of 2.44 for a five-unit increase in citizen ideology.

\begin{figure*}[t]%
\FIG{\includegraphics[width=\textwidth]{Fig}}
{\caption{This is a widefig. This is an example of long caption this is an example of long caption  this is an example of long caption this is an example of long caption. This is an example of long caption this is an example of long caption  this is an example of long caption this is an example of long caption.}
\label{fig1}}
\end{figure*}

\section*{Estimation}

Using Multilevel Event History Analysis, with the state/year as the unit of analysis \cite{bolton15},
I evaluate the following:
\begin{enumerate}[2.]
\item The probability that a governor $i$ will issue an executive order protecting
LGBT employees in time $t$, given that no executive order is in place.

They manage the bureaucracy and help set the
policy agenda through speeches, calling special sessions or taking unilateral action.
\item The probability that the state legislature $i$ will adopt an LGBT-inclusive
employment nondiscrimination statute in time $t$, given that it has not
already done.
\end{enumerate}
Multilevel modelling accounts for these differences and within-state patterns of adoption seen
throughout the years \cite{brewer07}. The effect of determinants that
lead to successful statute adoption of LGBT protections share common elements,
but differ based on the type of protections added – sexual orientation versus gender
identity.
\begin{itemize}
\item The probability that a governor $i$ will issue an executive order protecting
LGBT employees in time $t$, given that no executive order is in place.

They manage the bureaucracy and help set the
policy agenda through speeches, calling special sessions or taking unilateral action.
\item The probability that the state legislature $i$ will adopt an LGBT-inclusive
employment nondiscrimination statute in time $t$, given that it has not
already done.
\end{itemize}
Multilevel modelling accounts for these differences and within-state patterns of adoption seen
throughout the years. The effect of determinants that
lead to successful statute adoption of LGBT protections share common elements,
but differ based on the type of protections added – sexual orientation versus gender
identity.

Consequently, governors
may elect to pursue legislation to adopt more expansive and enduring policies by
negotiating with the legislators first.
Governors that see legislation as likely to pass
in the legislature, or governors with weaker institutional powers to dictate
administration policies, are especially likely to take this approach.
A one-unit increase in Liberal
Citizen Ideology increases the likelihood of adoption by a factor of 1.20, and the
probability increases by a factor of 2.44 for a five-unit increase in citizen ideology.


Executive orders
become appealing once more if efforts in the legislature fail because of a stalemate
or changing partisan dynamics later in the executive’s tenure. This leads to the
following hypotheses:
\begin{description}[H4:]
\item[H3:] Governors are more likely to issue executive orders adding LGBT protections
at the start and end of their tenure.
\item[H4:] Institutionally stronger governors are more likely to issue executive orders
adding LGBT protections.
\end{description}
The final hypotheses test the strategic model applied to the state level, which asserts
that governors are more likely to issue executive orders when confronting unfavourable
political conditions in the legislature.



\begin{figure}[t]%
\FIG{\includegraphics[width=\columnwidth]{Fig}}
{\caption{This is an example of short caption this is an example of short caption.}
\label{fig2}}\vspace*{-6pt}
\end{figure}



\begin{table}[t]
\TBL{\caption{Tables which are too long to fit,
should be written using the ``table*'' environment as shown here.\label{tab2}}}
{\begin{fntable}\tabcolsep=5.2pt
\begin{tabular*}{\textwidth}{lcccccc}
\toprule
 \TCH{Projectile} & \TCH{Energy} & \TCH{$\sigma_{\mathit{calc}}$} & \TCH{$\sigma_{\mathit{expt}}$} &
\TCH{Energy} & \TCH{$\sigma_{\mathit{calc}}$} & \TCH{$\sigma_{\mathit{expt}}$} \\
\midrule
\TCH{Element 3}&990 A &1168 &1547$\pm$12 &780 A &1166 & 1239$\pm$100\\
{{Element 4}}&500 A &\hphantom{0}961 &\hphantom{0}922$\pm$10 &900 A &1268 &1092$\pm$40\phantom{0}\\
\TCH{Element 3}&990 A &1168 &1547$\pm$12 &780 A &1166 &1239$\pm$100\\
{\TCH{Element 4\footnotemark[a]}}&500 A &\hphantom{0}961 &\hphantom{0}922$\pm$10 &900 A &1268 &1092$\pm$40\phantom{0}\\
\TCH{Element 3}&990 A &1168 &1547$\pm$12 &780 A &1166 &1239$\pm$100\\
{\TCH{Element 4}}&500 A &\hphantom{0}961 &\hphantom{0}922$\pm$10 &900 A &1268 &1092$\pm$40\phantom{0}\\
\TCH{Element 3}&990 A &1168 &1547$\pm$12 &780 A &1166 &1239$\pm$100\\
{\TCH{Element 4}}&500 A &\hphantom{0}961 &\hphantom{0}922$\pm$10 &900 A &1268 &1092$\pm$40\phantom{0}\\
\botrule
\end{tabular*}%
\footnotetext[]{\textit{Note:} This is an example of table footnote this is an example of table footnote this is an example of table footnote this is an example of~table footnote this is an example of table footnote}
\footnotetext[a]{This is an example of table footnote}%
\end{fntable}}\vspace*{-6pt}
\end{table}



The final covariates analyse social factors that influence gubernatorial use of
executive orders. These results differ across the models. Diffusion is not statistically
significant for the sexual orientation model, but reaches conventional
statistical significance for the \nobreak analysis of gender identity protections. This
tentatively suggests that governors are more likely to issue executive orders as
more neighbouring states add similar protections. Governors are more likely to
issue executive orders to protect \nobreak sexual \nobreak orientation when the states are more
liberal, and composed of fewer Evangelicals. Both terms reach conventional
statistical significance. However, this does not hold when the analysis turns to the
determinants of executive orders that protect gender identity. Citizen ideology
is not statistically significant and, counter to sexual orientation protections,
governors are more likely to issue executive orders when the Evangelical rate
increases. These discrepancies may be related to the changing strategies of
governors and LGBT advocates in later years, or it may be a reflection of the late
adopters that added protections through executive orders, i.e. the remaining
governors in states that were still ``at risk'' of adopting transgender protections
were in more socially conservative states. Both models show that governors are
more likely to issue protections later into the time frame, and the variance across
the states is statistically significant.

\begin{Backmatter}

\paragraph{Acknowledgments}
The authors also wish to thank Lucie Laporte-Devylder, Jordan Zlatev, Georgios
Stampoulidis, Joost Van de Weijer, Katie Hoemann, and two anonymous reviewers for their invaluable
feedback and comments on earlier versions of this paper.

\paragraph{Funding statement}
This study was funded by the Deutsche Forschungsgemeinschaft (DFG) through the Collaborative Research Center 1252 Prominence in Language, and by Mobility Grants from Division 7, Research Management, University of Cologne, which we gratefully acknowledge.

\paragraph{Competing interests}
The authors declare none.

\paragraph{Author biographies}
Author biographies would be shown here.



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\end{Backmatter}

\end{document}
